Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-b025
Praveen Kumar Guttula, Ganesan Muthusamy, Kirti Agrawal, Sanjit Roy, Shang Su, Nrusingh C Biswal, Hem D Shukla, Manas Ranjan Gartia
Background: Prostate cancer (PCa) disproportionately affects African American (AA) men, who experience higher incidence, earlier onset, and poorer outcomes than Caucasian (CA) men. The molecular mechanisms underlying these disparities remain poorly understood. This study uniquely integrates proteomic, molecular, and bioinformatics analyses to uncover race-specific protein expression patterns and biological pathways driving aggressive and therapy-resistant PCa. Methods: Clinical samples (n = 28) were collected from AA (n = 10) and CA (n = 10) PCa patients. For each group, four healthy control prostate tissues were also collected. We conducted an integrated LC-MS-based proteomic analysis of patient tissues to investigate race-specific differential protein expression. Multivariate statistical modeling (OPLS-DA, hierarchical clustering) was used to identify race-distinct protein signatures. Key targets were validated by Western blotting and qPCR in AA-derived MDA-PCa-2B, CA-derived PC-3 cell lines, C4-2B cells, and VCaP cells. Functional annotation and pathway enrichment analyses were performed to assess biological significance. Tissue immunohistochemistry (IHC) and Raman lipid mapping further evaluated the expression of key protein markers (AR, PSA, PSMA, CAV1) and lipid species, including ω-3, ω-6 fatty acids and cholesterol. Results: Distinct molecular profiles emerged between AA and CA tumors. AA tissues and MDA-PCa-2B cells exhibited marked upregulation of the splicing regulators SRSF9 and HNRNPH3, metabolic enzyme MCCC2, surface antigen FOLH1 (PSMA), and ferritin subunits (FTH1/FTL). Gene ontology and pathway analyses highlighted enrichment in RNA splicing (notably AR-V7 variant production), mTOR/PI3K-AKT signaling, amino acid and folate metabolism, and iron homeostasis. The recently established role of SRSF9 in promoting AR-V7 formation suggests a splicing-based mechanism of androgen receptor (AR) reactivation and antiandrogen resistance in AA PCa. Raman lipid mapping further revealed enrichment of pro-tumorigenic lipid species (DHA, ALA, ω-6) and elevated cholesterol in AA tumors, aligning with IHC findings of increased AR and PSMA expression. Together, these alterations reflect a convergent network of metabolic and signaling adaptations underlying a therapy-resistant phenotype in AA PCa. Conclusion: This first integrated proteomic and lipidomic study in a race-stratified PCa cohort reveals molecular drivers of aggressive, therapy-resistant AA PCa. Upregulation of SRSF9, MCCC2, FOLH1, and ferritin, along with AR-V7–associated pathways and lipid remodeling, identifies novel targets for precision therapy. These findings provide critical insight into the biological basis of racial disparities in PCa outcomes. Citation Format: Praveen Kumar Guttula, Ganesan Muthusamy, Kirti Agrawal, Sanjit Roy, Shang Su, Nrusingh C Biswal, Hem D Shukla, Manas Ranjan Gartia. Integrated proteomic and molecular profiling reveals race-associated RNA splicing and meta
背景:前列腺癌(PCa)不成比例地影响非裔美国人(AA)男性,他们比白种人(CA)男性发病率更高,发病更早,预后更差。这些差异背后的分子机制仍然知之甚少。这项研究独特地整合了蛋白质组学、分子和生物信息学分析,揭示了种族特异性蛋白质表达模式和驱动侵袭性和治疗耐药PCa的生物学途径。方法:从AA (n = 10)和CA (n = 10)例PCa患者中采集临床标本28例。每组还收集4个健康对照前列腺组织。我们对患者组织进行了基于lc - ms的综合蛋白质组学分析,以研究种族特异性差异蛋白表达。多元统计模型(OPLS-DA,分层聚类)用于识别不同种族的蛋白质特征。通过Western blotting和qPCR在aa来源的MDA-PCa-2B、ca来源的PC-3细胞系、C4-2B细胞和VCaP细胞中验证关键靶点。功能注释和途径富集分析评估生物学意义。组织免疫组化(IHC)和拉曼脂质图谱进一步评估了关键蛋白标志物(AR、PSA、PSMA、CAV1)和脂质种类(包括ω-3、ω-6脂肪酸和胆固醇)的表达。结果:AA和CA肿瘤之间存在不同的分子谱。AA组织和MDA-PCa-2B细胞表现出剪接调节因子SRSF9和HNRNPH3、代谢酶MCCC2、表面抗原FOLH1 (PSMA)和铁蛋白亚基(FTH1/FTL)的显著上调。基因本体和通路分析强调了RNA剪接(特别是AR-V7变体的产生)、mTOR/PI3K-AKT信号、氨基酸和叶酸代谢以及铁稳态的富集。最近发现的SRSF9在促进AR- v7形成中的作用表明,在AA型前列腺癌中,雄激素受体(AR)的再激活和抗雄激素抗性是基于剪接的机制。拉曼脂质图谱进一步揭示了AA肿瘤中致瘤前脂质物质(DHA、ALA、ω-6)的富集和胆固醇的升高,这与IHC中AR和PSMA表达增加的结果一致。总之,这些改变反映了AA型PCa治疗耐药表型背后的代谢和信号适应的趋同网络。结论:在一项种族分层的PCa队列中,这项首次整合蛋白质组学和脂质组学研究揭示了侵袭性、治疗耐药的AA型PCa的分子驱动因素。SRSF9、MCCC2、FOLH1和铁蛋白的上调,以及ar - v7相关通路和脂质重塑,为精准治疗确定了新的靶点。这些发现为PCa结果的种族差异的生物学基础提供了重要的见解。引文格式:Praveen Kumar Guttula, Ganesan Muthusamy, Kirti Agrawal, Sanjit Roy, Shang Su, Nrusingh C Biswal, Hem D Shukla, Manas Ranjan Gartia。综合蛋白质组学和分子分析揭示了前列腺癌中与种族相关的RNA剪接和代谢重编程。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(增刊):B025。
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Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-a081
Songqi Zhang, Mingyu Liu, Yaozong Su, Jaeweon Jeong, HyeonYeong Sun, Mannan Nouri, Dong Han, Shuai Gao, Jill A. Macoska, Steven P. Balk, Changmeng Cai
Background: FOXA1 acts as a pioneer transcription factor that enhances chromatin accessibility and facilitates androgen receptor (AR) binding in prostate cancer (PCa). In the stage of castration-resistant prostate cancer (CRPC), FOXA1 undergoes chromatin remodeling that promotes tumor progression and therapy resistance. Our recent findings revealed that the chromatin binding of FOXA1 is destabilized by SETD7-mediated lysine 270 methylation and stabilized by LSD1-mediated demethylation. However, how FOXA1 methylation status influences global FOXA1 binding landscape, AR signaling, and other transcriptional programs in CRPC remain unclear. Methods: We firstly used AlphaFold structural modeling tool to predict the direct interaction between LSD1/SETD7 and FOXA1. To further define the functional role of FOXA1 K270 methylation, we generated stable cell lines expressing either inducible wildtype FOXA1 or the methylation-defective K270R mutant with knockdown of endogenous FOXA1. Integrated ChIP-seq and RNA-seq analyses were performed to evaluate changes in global FOXA1 chromatin occupancy, AR binding dynamics in response to AR-targeted therapies, super-enhancer landscape, and downstream transcriptional programs. We then determined effects of a clinical relevant LSD1 inhibitor bomedemstat, on FOXA1 chromatin binding and oncogenic reprogramming in cell lines and xenograft models. Results: AlphaFold modeling revealed that the amine oxidase domain of LSD1 interacts closely with the wing2 loop region of FOXA1. The K270R mutant exhibited expanded FOXA1 chromatin occupancy and altered AR chromatin binding in response to enzalutamide. Transcriptomic profiling showed upregulation of E2F, MYC, and other cell cycle-associated pathways in K270R mutant cells. Pharmacologic inhibition of LSD1 with bomedemstat globally reduced FOXA1 chromatin binding, suppressed E2F signaling, and decreased xenograft tumor growth in FOXA1-high CRPC models. Conclusions: Our study identifies FOXA1 K270 methylation as a critical molecular brake that restricts FOXA1 chromatin binding and its oncogenic transcriptional activities. LSD1 inhibition that restores FOXA1 methylation can restrict FOXA1 chromatin binding, repress FOXA1-activated E2F signaling, and reduce tumor growth. These findings provide a strong rationale for targeting the LSD1-FOXA1 axis as a therapeutic strategy in the AR/FOXA1-high CRPC tumors. Citation Format: Songqi Zhang, Mingyu Liu, Yaozong Su, Jaeweon Jeong, HyeonYeong Sun, Mannan Nouri, Dong Han, Shuai Gao, Jill A. Macoska, Steven P. Balk, Changmeng Cai. FOXA1 Lysine methylation remodels its chromatin binding and restrains oncogenic reprogramming in prostate cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr A081.
背景:FOXA1是前列腺癌(PCa)中增强染色质可及性和促进雄激素受体(AR)结合的先驱转录因子。在去势抵抗性前列腺癌(CRPC)阶段,FOXA1经历染色质重塑,促进肿瘤进展和治疗抵抗。我们最近的研究结果表明,FOXA1的染色质结合被setd7介导的赖氨酸270甲基化破坏,并被lsd1介导的去甲基化稳定。然而,FOXA1甲基化状态如何影响全球FOXA1结合格局、AR信号传导和CRPC中的其他转录程序仍不清楚。方法:首先利用AlphaFold结构建模工具预测LSD1/SETD7与FOXA1的直接相互作用。为了进一步确定FOXA1 K270甲基化的功能作用,我们产生了稳定的细胞系,表达可诱导的野生型FOXA1或甲基化缺陷的K270R突变体,并敲低内源性FOXA1。通过集成ChIP-seq和RNA-seq分析来评估全球FOXA1染色质占用的变化,AR靶向治疗的AR结合动力学,超增强子景观和下游转录程序。然后,我们确定了临床相关的LSD1抑制剂homedemstat对细胞系和异种移植模型中FOXA1染色质结合和致癌重编程的影响。结果:AlphaFold模型显示LSD1的胺氧化酶结构域与FOXA1的wing2环区密切相互作用。K270R突变体在对恩杂鲁胺的反应中表现出FOXA1染色质占用扩大和AR染色质结合改变。转录组学分析显示,在K270R突变细胞中,E2F、MYC和其他细胞周期相关通路上调。在FOXA1-高CRPC模型中,用homedemstat对LSD1进行药理学抑制可全面降低FOXA1染色质结合,抑制E2F信号,并降低异种移植物肿瘤生长。结论:我们的研究确定FOXA1 K270甲基化是限制FOXA1染色质结合及其致癌转录活性的关键分子制动器。LSD1抑制恢复FOXA1甲基化可以限制FOXA1染色质结合,抑制FOXA1激活的E2F信号,减少肿瘤生长。这些发现为靶向LSD1-FOXA1轴作为AR/ foxa1高CRPC肿瘤的治疗策略提供了强有力的理论依据。引用格式:张松奇,刘明玉,苏耀宗,郑家文,孙贤永,Mannan Nouri,韩东,高帅,Jill A. Macoska, Steven P. Balk,蔡昌萌。FOXA1赖氨酸甲基化重塑其染色质结合并抑制前列腺癌的致癌重编程[摘要]。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(2增刊):no A081。
{"title":"Abstract A081: FOXA1 Lysine methylation remodels its chromatin binding and restrains oncogenic reprogramming in prostate cancer","authors":"Songqi Zhang, Mingyu Liu, Yaozong Su, Jaeweon Jeong, HyeonYeong Sun, Mannan Nouri, Dong Han, Shuai Gao, Jill A. Macoska, Steven P. Balk, Changmeng Cai","doi":"10.1158/1538-7445.prostateca26-a081","DOIUrl":"https://doi.org/10.1158/1538-7445.prostateca26-a081","url":null,"abstract":"Background: FOXA1 acts as a pioneer transcription factor that enhances chromatin accessibility and facilitates androgen receptor (AR) binding in prostate cancer (PCa). In the stage of castration-resistant prostate cancer (CRPC), FOXA1 undergoes chromatin remodeling that promotes tumor progression and therapy resistance. Our recent findings revealed that the chromatin binding of FOXA1 is destabilized by SETD7-mediated lysine 270 methylation and stabilized by LSD1-mediated demethylation. However, how FOXA1 methylation status influences global FOXA1 binding landscape, AR signaling, and other transcriptional programs in CRPC remain unclear. Methods: We firstly used AlphaFold structural modeling tool to predict the direct interaction between LSD1/SETD7 and FOXA1. To further define the functional role of FOXA1 K270 methylation, we generated stable cell lines expressing either inducible wildtype FOXA1 or the methylation-defective K270R mutant with knockdown of endogenous FOXA1. Integrated ChIP-seq and RNA-seq analyses were performed to evaluate changes in global FOXA1 chromatin occupancy, AR binding dynamics in response to AR-targeted therapies, super-enhancer landscape, and downstream transcriptional programs. We then determined effects of a clinical relevant LSD1 inhibitor bomedemstat, on FOXA1 chromatin binding and oncogenic reprogramming in cell lines and xenograft models. Results: AlphaFold modeling revealed that the amine oxidase domain of LSD1 interacts closely with the wing2 loop region of FOXA1. The K270R mutant exhibited expanded FOXA1 chromatin occupancy and altered AR chromatin binding in response to enzalutamide. Transcriptomic profiling showed upregulation of E2F, MYC, and other cell cycle-associated pathways in K270R mutant cells. Pharmacologic inhibition of LSD1 with bomedemstat globally reduced FOXA1 chromatin binding, suppressed E2F signaling, and decreased xenograft tumor growth in FOXA1-high CRPC models. Conclusions: Our study identifies FOXA1 K270 methylation as a critical molecular brake that restricts FOXA1 chromatin binding and its oncogenic transcriptional activities. LSD1 inhibition that restores FOXA1 methylation can restrict FOXA1 chromatin binding, repress FOXA1-activated E2F signaling, and reduce tumor growth. These findings provide a strong rationale for targeting the LSD1-FOXA1 axis as a therapeutic strategy in the AR/FOXA1-high CRPC tumors. Citation Format: Songqi Zhang, Mingyu Liu, Yaozong Su, Jaeweon Jeong, HyeonYeong Sun, Mannan Nouri, Dong Han, Shuai Gao, Jill A. Macoska, Steven P. Balk, Changmeng Cai. FOXA1 Lysine methylation remodels its chromatin binding and restrains oncogenic reprogramming in prostate cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr A081.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"128 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146005959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-a033
Manish Kohli, Jodie Wong, Yijun Tian, ManishKumar S. Patel, Kapil Avasthi, Claire Hanson, Enos Ampaw, Rebekah Gutowski, Muhammad Zaki H. Fadlullah, Joseph Finklestein, Aik C. Tan, Jong Park, Brandon J. Manley, Chiang-Ching Huang, Liang Wang
Background: Prognostication in metastatic castration-resistant prostate cancer (mCRPC) is based largely on non-specific proteins and clinical factors which cannot be targeted therapeutically for delaying cancer progression in lethal mCRPC. DNA methylation, which can capture tumor-specific epigenetic changes, shows promise as a platform for identifying biology-based prognostic markers. This study investigates plasma cell-free DNA (cfDNA) methylation to identify mCRPC prognostic markers and develops an integrated clinical-molecular nomogram model for risk stratification and potentially personalized treatment strategies. Methods: Plasma was prospectively collected from localized prostate cancer (PC) (n=19), metastatic hormone-sensitive PC (mHSPC) (n=28), and metastatic castration resistant PC (mCRPC) (n=48) patients (pts). Extracted cfDNA underwent enzymatic methylation sequencing (EM-seq) targeting 366 genomic regions implicated in PC biology. Whole genome sequencing libraries were captured with a Twist targeted methylome panel. Bismark was used for methylation calling. mHapSuite was used to identify methylation haplotype blocks (MHBs) and subsequently calculate methylation haplotype load (MHL), the successive methylation at each fragment length. Differentially methylated regions (DMRs) unique to mCRPC were identified with Welch’s t-tests by comparing PC to mHSPC and mCRPC states. mCRPC survival analysis was performed with Cox proportional hazards models, Kaplan-Meier analysis, and nomograms. Results: From 366 target genomic regions, we identified 316 MHBs (linkage disequilibrium r2>0.5, CpG sites≥5) across the 96 PC patients. Comparing PC to mHSPC, 29 DMRs were identified (p-value<0.05). Comparing mHPSC to mCRPC, 271 DMRs were identified, of which 28 were shared with the localized PC vs. mHSPC analysis (p-value<0.05). A MHB-based composite risk score of the top 22 MHBs was generated for DMRs restricted to mCRPC state which showed worse mCRPC survival in high-risk patients (median survival time=15.5 months) than in low-risk patients (median survival time=36.5 months) (log-rank p-value=0.00052). Combining the top significant clinical markers with the MHB-based composite risk score also demonstrated decreased survival probability in high-risk patients (median survival time=15.5 months) as compared to low-risk patients (median survival time=42.8 months) (log-rank p-value=0.00025). Incorporation of the MHB-based score with predicted ctDNA fraction and clinical biomarkers into a multi-modal nomogram model improved the prognostic performance (6-month AUC=0.99, 1-year AUC=0.90, 2-year AUC=0.87) over clinical biomarkers alone (6-month AUC=0.98, 1-year AUC=0.87, 2-year AUC=0.84). Conclusions: Our findings demonstrate that cfDNA methylation signatures can complement existing prognostic models, offering a tumor-biology based personalized approach to mCRPC prognostication, which also identify therapeutic targets in pts with short survival.
背景:转移性去势抵抗性前列腺癌(mCRPC)的预后主要基于非特异性蛋白和临床因素,这些蛋白和临床因素不能靶向治疗以延缓致命mCRPC的癌症进展。DNA甲基化可以捕获肿瘤特异性表观遗传变化,有望作为识别基于生物学的预后标记物的平台。本研究通过研究血浆游离DNA (cfDNA)甲基化来鉴定mCRPC预后标志物,并开发了一种综合的临床-分子nomogram模型,用于风险分层和潜在的个性化治疗策略。方法:前瞻性收集局限性前列腺癌(PC) (n=19)、转移性激素敏感前列腺癌(mHSPC) (n=28)和转移性去势抵抗前列腺癌(mCRPC) (n=48)患者的血浆。提取的cfDNA进行酶甲基化测序(EM-seq),针对与PC生物学相关的366个基因组区域。使用Twist靶向甲基组面板捕获全基因组测序文库。俾斯麦用于甲基化调用。mHapSuite用于鉴定甲基化单倍型块(MHBs),随后计算甲基化单倍型负荷(MHL),即每个片段长度上的连续甲基化。通过将PC与mHSPC和mCRPC状态进行比较,采用Welch 's t检验确定了mCRPC特有的差异甲基化区域(DMRs)。采用Cox比例风险模型、Kaplan-Meier分析和nomogram进行mCRPC生存分析。结果:从366个目标基因组区域中,我们在96例PC患者中鉴定出316个MHBs(连锁不平衡r2&;gt;0.5, CpG位点≥5)。将PC与mHSPC进行比较,鉴定出29个DMRs (p值&;lt;0.05)。将mHPSC与mCRPC进行比较,鉴定出271个DMRs,其中28个与本地化PC与mHSPC分析共享(p值&;lt;0.05)。对局限于mCRPC状态的DMRs进行基于mhb的综合风险评分,结果显示高风险患者(中位生存时间=15.5个月)的mCRPC生存率低于低风险患者(中位生存时间=36.5个月)(log-rank p值=0.00052)。将最显著的临床标志物与基于mhb的复合风险评分相结合,也显示高危患者的生存概率(中位生存时间=15.5个月)低于低危患者(中位生存时间=42.8个月)(log-rank p值=0.00025)。与单独使用临床生物标志物(6个月AUC=0.98, 1年AUC=0.87, 2年AUC=0.84)相比,将基于mhb的评分与预测的ctDNA分数和临床生物标志物结合到多模态nomogram模型中,改善了预后表现(6个月AUC=0.99, 1年AUC=0.90, 2年AUC=0.87)。结论:我们的研究结果表明,cfDNA甲基化特征可以补充现有的预后模型,为mCRPC预测提供基于肿瘤生物学的个性化方法,也可以确定短生存期患者的治疗靶点。这些发现值得在新招募的患者队列中进一步验证。引文格式:Manish Kohli, Jodie Wong, Yijun Tian, ManishKumar S. Patel, Kapil Avasthi, Claire Hanson, Enos Ampaw, Rebekah Gutowski, Muhammad Zaki H. Fadlullah, Joseph Finklestein, Aik C. Tan, Jong Park, Brandon J. Manley, Huang - ching, Wang Liang。转移性去势抵抗性前列腺癌基于血浆游离DNA甲基化的预后[摘要]。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(2_supl): no A033。
{"title":"Abstract A033: Plasma cell-free DNA methylation-based prognosis in metastatic castrate-resistant prostate cancer","authors":"Manish Kohli, Jodie Wong, Yijun Tian, ManishKumar S. Patel, Kapil Avasthi, Claire Hanson, Enos Ampaw, Rebekah Gutowski, Muhammad Zaki H. Fadlullah, Joseph Finklestein, Aik C. Tan, Jong Park, Brandon J. Manley, Chiang-Ching Huang, Liang Wang","doi":"10.1158/1538-7445.prostateca26-a033","DOIUrl":"https://doi.org/10.1158/1538-7445.prostateca26-a033","url":null,"abstract":"Background: Prognostication in metastatic castration-resistant prostate cancer (mCRPC) is based largely on non-specific proteins and clinical factors which cannot be targeted therapeutically for delaying cancer progression in lethal mCRPC. DNA methylation, which can capture tumor-specific epigenetic changes, shows promise as a platform for identifying biology-based prognostic markers. This study investigates plasma cell-free DNA (cfDNA) methylation to identify mCRPC prognostic markers and develops an integrated clinical-molecular nomogram model for risk stratification and potentially personalized treatment strategies. Methods: Plasma was prospectively collected from localized prostate cancer (PC) (n=19), metastatic hormone-sensitive PC (mHSPC) (n=28), and metastatic castration resistant PC (mCRPC) (n=48) patients (pts). Extracted cfDNA underwent enzymatic methylation sequencing (EM-seq) targeting 366 genomic regions implicated in PC biology. Whole genome sequencing libraries were captured with a Twist targeted methylome panel. Bismark was used for methylation calling. mHapSuite was used to identify methylation haplotype blocks (MHBs) and subsequently calculate methylation haplotype load (MHL), the successive methylation at each fragment length. Differentially methylated regions (DMRs) unique to mCRPC were identified with Welch’s t-tests by comparing PC to mHSPC and mCRPC states. mCRPC survival analysis was performed with Cox proportional hazards models, Kaplan-Meier analysis, and nomograms. Results: From 366 target genomic regions, we identified 316 MHBs (linkage disequilibrium r2&gt;0.5, CpG sites≥5) across the 96 PC patients. Comparing PC to mHSPC, 29 DMRs were identified (p-value&lt;0.05). Comparing mHPSC to mCRPC, 271 DMRs were identified, of which 28 were shared with the localized PC vs. mHSPC analysis (p-value&lt;0.05). A MHB-based composite risk score of the top 22 MHBs was generated for DMRs restricted to mCRPC state which showed worse mCRPC survival in high-risk patients (median survival time=15.5 months) than in low-risk patients (median survival time=36.5 months) (log-rank p-value=0.00052). Combining the top significant clinical markers with the MHB-based composite risk score also demonstrated decreased survival probability in high-risk patients (median survival time=15.5 months) as compared to low-risk patients (median survival time=42.8 months) (log-rank p-value=0.00025). Incorporation of the MHB-based score with predicted ctDNA fraction and clinical biomarkers into a multi-modal nomogram model improved the prognostic performance (6-month AUC=0.99, 1-year AUC=0.90, 2-year AUC=0.87) over clinical biomarkers alone (6-month AUC=0.98, 1-year AUC=0.87, 2-year AUC=0.84). Conclusions: Our findings demonstrate that cfDNA methylation signatures can complement existing prognostic models, offering a tumor-biology based personalized approach to mCRPC prognostication, which also identify therapeutic targets in pts with short survival.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"64 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-b005
Rachel E . Bonacci, Seidu Adams, Chinedum C. Udekwu, Siti Khaula Nurazizah, Luke Washington, Olorunseun O. Ogunwobi
Neuroendocrine prostate cancer (NEPC) is a deadly disease with limited treatment options, a predicted increase in incidence, and poor response to conventional therapeutics. NEPC is characterized by muscle-invasive disease and frequent rates of distant metastasis1. There is no FDA-approved molecular targeted treatment for NEPC, and the lack of therapeutics is reflected in the overall survival rate, which remains around 9 months1-2. We have previously reported that PVT1 exon 9 overexpression induces the development of in vivo tumors with the NEPC phenotype, and inhibition of PVT1 exon 9 is an effective therapeutic target in these tumors. Understanding the underlying molecular mechanisms that drive aggressive prostate cancer subtypes is desperately needed. Here, we report findings from the characterization of the novel PVT1 exon 9 overexpressing NEPC subtype. PVT1 exon 9 transcript is found within both the nuclear and cytosolic compartments. Upregulation of PVT1 exon 9 leads to the overexpression of the innate immune surveillance proteins RSAD2 and CMPK2. In PVT1 exon 9 overexpressing NEPC, RSAD2 is localized mainly to the nucleus, a novel observation, via an interaction between the nuclear import complex KPNB1/KPNA2 and its newly identified nuclear localization sequence. We have observed a significantly enhanced expression of the nuclear import complex proteins as well as a direct interaction with PVT1 exon 9 and KPNB1. The function of the RSAD2 nuclear localization is unclear, but PVT1 exon 9 mediated-RSAD2 overexpression does lead to increased interferon gamma secretion. PVT1 exon 9 directly binds to RSAD2 protein as well as the CMPK2 protein. We have observed that CMPK2 overexpression is caused by the overexpression of RSAD2. CMPK2 is localized within the nucleus and cytosolic compartments. Both RSAD2 and CMPK2 proteins do not directly interact, but the RSAD2 protein does bind to the CMPK2 transcript within the nucleus, leading to changes in CMPK2 RNA stability. CMPK2 overexpression is not involved in mediating interferon gamma signaling and is downstream of this signaling network. PVT1 exon 9 overexpression leads to androgen receptor (AR) suppression via an unknown mechanism independent of RSAD2 or CMPK2 activity. Targeting PVT1 exon 9 with antisense oligonucleotides at its 5’ end leads to loss of PVT1 exon 9 expression, decoupling of PVT1 exon 9 from RSAD2 and CMPK2 proteins, re-expression of AR, and loss of cell viability, migration, invasion, and colony formation. Co-treatment with PVT1 exon 9 antisense oligonucleotides and the AR inhibitor enzalutamide leads to significant inhibition of NEPC cell proliferation/viability, invasion and migration. This novel signaling mechanism present in a subset of neuroendocrine prostate cancer is a clinically relevant and targetable molecular aberration. Further investigation is warranted to understand the best treatment strategy for this subtype, as well as identify other aggressive prostate cancer subtyp
神经内分泌前列腺癌(NEPC)是一种致命的疾病,治疗选择有限,预计发病率增加,对传统治疗的反应较差。NEPC的特点是肌肉侵袭性疾病和频繁的远处转移1。目前还没有fda批准的针对NEPC的分子靶向治疗方法,治疗方法的缺乏反映在总生存率上,大约为9个月1-2。我们之前报道过PVT1外显子9过表达诱导体内NEPC表型肿瘤的发展,抑制PVT1外显子9是这些肿瘤的有效治疗靶点。了解驱动侵袭性前列腺癌亚型的潜在分子机制是迫切需要的。在这里,我们报告了新的PVT1外显子9过表达NEPC亚型的特征。PVT1外显子9转录本存在于核室和细胞质室中。PVT1外显子9的上调导致先天免疫监视蛋白RSAD2和CMPK2的过表达。在过表达NEPC的PVT1外显子9中,RSAD2主要定位于细胞核,这是一项新的观察,通过核输入复合物KPNB1/KPNA2与其新发现的核定位序列之间的相互作用。我们观察到核输入复合物蛋白的表达显著增强,并与PVT1外显子9和KPNB1直接相互作用。RSAD2核定位的功能尚不清楚,但PVT1外显子9介导的RSAD2过表达确实导致干扰素γ分泌增加。PVT1外显子9直接结合RSAD2蛋白和CMPK2蛋白。我们观察到CMPK2的过表达是由RSAD2的过表达引起的。CMPK2定位于细胞核和细胞质室。RSAD2和CMPK2蛋白都不直接相互作用,但RSAD2蛋白在细胞核内与CMPK2转录物结合,导致CMPK2 RNA稳定性的变化。CMPK2过表达不参与介导干扰素γ信号,是该信号网络的下游。PVT1外显子9过表达通过一种不依赖于RSAD2或CMPK2活性的未知机制导致雄激素受体(AR)抑制。在PVT1外显子9的5 '端使用反义寡核苷酸靶向PVT1外显子9会导致PVT1外显子9的表达缺失,PVT1外显子9与RSAD2和CMPK2蛋白的解耦,AR的重新表达,以及细胞活力、迁移、侵袭和集落形成的丧失。PVT1外显子9反义寡核苷酸和AR抑制剂enzalutamide共同作用可显著抑制NEPC细胞的增殖/活力、侵袭和迁移。这种新的信号机制存在于神经内分泌前列腺癌的一个亚群中,是一种临床相关的、可靶向的分子畸变。需要进一步研究以了解该亚型的最佳治疗策略,并确定可能受益于PVT1外显子9抑制的其他侵袭性前列腺癌亚型。引文格式:Rachel E。Bonacci, Seidu Adams, Chinedum C. Udekwu, Siti Khaula Nurazizah, Luke Washington, Olorunseun O. Ogunwobi。在PVT1外显子9过表达的神经内分泌前列腺癌中,RSAD2-CMPK2信号以ar不依赖的方式介导PVT1外显子9的作用[摘要]。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(增刊):no B005。
{"title":"Abstract B005: RSAD2-CMPK2 signaling mediates PVT1 exon 9 action in an AR-independent manner in PVT1 exon 9 overexpressing neuroendocrine prostate cancers","authors":"Rachel E . Bonacci, Seidu Adams, Chinedum C. Udekwu, Siti Khaula Nurazizah, Luke Washington, Olorunseun O. Ogunwobi","doi":"10.1158/1538-7445.prostateca26-b005","DOIUrl":"https://doi.org/10.1158/1538-7445.prostateca26-b005","url":null,"abstract":"Neuroendocrine prostate cancer (NEPC) is a deadly disease with limited treatment options, a predicted increase in incidence, and poor response to conventional therapeutics. NEPC is characterized by muscle-invasive disease and frequent rates of distant metastasis1. There is no FDA-approved molecular targeted treatment for NEPC, and the lack of therapeutics is reflected in the overall survival rate, which remains around 9 months1-2. We have previously reported that PVT1 exon 9 overexpression induces the development of in vivo tumors with the NEPC phenotype, and inhibition of PVT1 exon 9 is an effective therapeutic target in these tumors. Understanding the underlying molecular mechanisms that drive aggressive prostate cancer subtypes is desperately needed. Here, we report findings from the characterization of the novel PVT1 exon 9 overexpressing NEPC subtype. PVT1 exon 9 transcript is found within both the nuclear and cytosolic compartments. Upregulation of PVT1 exon 9 leads to the overexpression of the innate immune surveillance proteins RSAD2 and CMPK2. In PVT1 exon 9 overexpressing NEPC, RSAD2 is localized mainly to the nucleus, a novel observation, via an interaction between the nuclear import complex KPNB1/KPNA2 and its newly identified nuclear localization sequence. We have observed a significantly enhanced expression of the nuclear import complex proteins as well as a direct interaction with PVT1 exon 9 and KPNB1. The function of the RSAD2 nuclear localization is unclear, but PVT1 exon 9 mediated-RSAD2 overexpression does lead to increased interferon gamma secretion. PVT1 exon 9 directly binds to RSAD2 protein as well as the CMPK2 protein. We have observed that CMPK2 overexpression is caused by the overexpression of RSAD2. CMPK2 is localized within the nucleus and cytosolic compartments. Both RSAD2 and CMPK2 proteins do not directly interact, but the RSAD2 protein does bind to the CMPK2 transcript within the nucleus, leading to changes in CMPK2 RNA stability. CMPK2 overexpression is not involved in mediating interferon gamma signaling and is downstream of this signaling network. PVT1 exon 9 overexpression leads to androgen receptor (AR) suppression via an unknown mechanism independent of RSAD2 or CMPK2 activity. Targeting PVT1 exon 9 with antisense oligonucleotides at its 5’ end leads to loss of PVT1 exon 9 expression, decoupling of PVT1 exon 9 from RSAD2 and CMPK2 proteins, re-expression of AR, and loss of cell viability, migration, invasion, and colony formation. Co-treatment with PVT1 exon 9 antisense oligonucleotides and the AR inhibitor enzalutamide leads to significant inhibition of NEPC cell proliferation/viability, invasion and migration. This novel signaling mechanism present in a subset of neuroendocrine prostate cancer is a clinically relevant and targetable molecular aberration. Further investigation is warranted to understand the best treatment strategy for this subtype, as well as identify other aggressive prostate cancer subtyp","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"39 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-b078
Nicole A. Traphagen, Alok K. Tewari, Esmé Wheeler, Christian Alfieri, Sajin Patel, Rong Li, Michael Nyquist, Arnab Bose, Michael Haffner, Peter S. Nelson, Henry Long, Himisha Beltran, Myles Brown
Lineage plasticity and transition from prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC) is an increasingly common mechanism of resistance to androgen receptor (AR) inhibition in castration-resistant prostate cancer. Transition to NEPC is associated with loss of AR expression, activation of neuroendocrine transcriptional programs, and an aggressive phenotype with poor outcomes. Currently, the mechanisms underlying this lineage transition remain unclear, which has hindered drug discovery efforts. Nearly all NEPC tumors exhibit dual loss of p53 and Rb, however, this is insufficient to drive lineage transition from PRAD to NEPC. Using patient samples, patient cohorts and patient-derived xenograft models, we identified the transcription factor MYCL as highly expressed in a subset of NEPC tumors, with little expression in PRAD. MYCL is an essential gene in preclinical MYCL+ NEPC models, and expression of MYCL in PRAD models is sufficient to downregulate AR expression and induce complete resistance to AR inhibition only in the context of dual p53/Rb loss of function. In contrast, expression of the other Myc family members MYC and MYCN do not regulate AR expression and result in partial resistance to AR inhibition regardless of p53/Rb status. RNA-sequencing in p53/Rb-null models indicated that MYC and MYCN regulate similar transcriptional programs, corresponding primarily with the interferon and inflammatory responses. However, MYCL expression promotes a unique transcriptional program associated with neuroendocrine and neuronal development gene sets and strongly represses the AR transcriptional program. Similarly, ATAC-sequencing of p53/Rb-null models expressing MYC, MYCN, or MYCL indicates that while all three MYC family members regulate chromatin accessibility at a common core set of genomic sites, each MYC family member also regulates chromatin accessibility at unique sites. Concordant with RNA-sequencing results, MYCL unique sites correspond with neuronal and neuroendocrine gene sets. MYCL expression also results in decreased accessibility of the AR distal enhancer, providing a mechanistic basis for the decreased AR expression and repressed AR transcriptional program observed upon MYCL expression. In accordance with this data, we also find that MYCL expression induces morphological changes consistent with transition to a small-cell neuroendocrine phenotype. Using publicly available RNA interference and CRISPR screen data, we also find that models that express MYCL are differentially dependent upon Myc interacting proteins such as MNT and MAX. Ongoing work is focused on identifying the interactome and unique genetic dependencies of MYC, MYCN, and MYCL to gain a better understanding of the divergent functions and unique co-dependencies of each Myc family member. Collectively, this work implicates MYCL as a novel driver of lineage plasticity and provides insights into the unique and convergent functions of the three Myc family mem
谱系可塑性和从前列腺腺癌(PRAD)向神经内分泌前列腺癌(NEPC)的转变是去势抵抗性前列腺癌抵抗雄激素受体(AR)抑制的一个日益普遍的机制。向NEPC的转变与AR表达缺失、神经内分泌转录程序激活以及预后不良的侵袭性表型相关。目前,这种谱系转变的机制尚不清楚,这阻碍了药物发现的努力。几乎所有NEPC肿瘤都表现出p53和Rb的双重缺失,然而,这不足以驱动从PRAD到NEPC的谱系转变。通过患者样本、患者队列和患者来源的异种移植模型,我们发现转录因子MYCL在NEPC肿瘤的一个亚群中高表达,而在PRAD中表达很少。在临床前MYCL+ NEPC模型中,MYCL是必不可少的基因,而在PRAD模型中,MYCL的表达仅在p53/Rb双重功能丧失的情况下,才足以下调AR的表达并诱导对AR抑制的完全抵抗。相比之下,其他Myc家族成员Myc和MYCN的表达不调节AR表达,并导致对AR抑制的部分抵抗,无论p53/Rb状态如何。p53/Rb-null模型的rna测序表明,MYC和MYCN调节类似的转录程序,主要与干扰素和炎症反应相对应。然而,MYCL表达促进与神经内分泌和神经元发育基因集相关的独特转录程序,并强烈抑制AR转录程序。同样,表达MYC、MYCN或MYCL的p53/Rb-null模型的atac测序表明,虽然所有三个MYC家族成员都在一个共同的基因组核心位点调节染色质可及性,但每个MYC家族成员也在独特的位点调节染色质可及性。与rna测序结果一致,MYCL独特位点与神经元和神经内分泌基因组相对应。MYCL表达还导致AR远端增强子的可及性降低,为MYCL表达时观察到的AR表达降低和AR转录程序抑制提供了机制基础。根据这些数据,我们还发现MYCL表达诱导的形态学变化与向小细胞神经内分泌表型的转变一致。利用公开可用的RNA干扰和CRISPR筛选数据,我们还发现表达MYCL的模型对Myc相互作用蛋白(如MNT和MAX)的依赖性不同。正在进行的工作重点是确定MYC、MYCN和MYCL的相互作用组和独特的遗传依赖性,以更好地了解每个MYC家族成员的不同功能和独特的共同依赖性。总的来说,这项工作表明MYCL是谱系可塑性的一个新的驱动因素,并提供了Myc家族三个成员在去势抵抗性前列腺癌中的独特和趋同功能的见解。引文格式:Nicole A. Traphagen, Alok K. Tewari, esmore Wheeler, Christian Alfieri, Sajin Patel, Rong Li, Michael Nyquist, Arnab Bose, Michael Haffner, Peter S. Nelson, Henry Long, Himisha Beltran, Myles Brown。MYCL驱动去势抵抗性前列腺癌谱系可塑性和对雄激素受体抑制的抗性[摘要]。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(增刊):no B078。
{"title":"Abstract B078: MYCL drives lineage plasticity and resistance to androgen receptor inhibition in castration-resistant prostate cancer","authors":"Nicole A. Traphagen, Alok K. Tewari, Esmé Wheeler, Christian Alfieri, Sajin Patel, Rong Li, Michael Nyquist, Arnab Bose, Michael Haffner, Peter S. Nelson, Henry Long, Himisha Beltran, Myles Brown","doi":"10.1158/1538-7445.prostateca26-b078","DOIUrl":"https://doi.org/10.1158/1538-7445.prostateca26-b078","url":null,"abstract":"Lineage plasticity and transition from prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC) is an increasingly common mechanism of resistance to androgen receptor (AR) inhibition in castration-resistant prostate cancer. Transition to NEPC is associated with loss of AR expression, activation of neuroendocrine transcriptional programs, and an aggressive phenotype with poor outcomes. Currently, the mechanisms underlying this lineage transition remain unclear, which has hindered drug discovery efforts. Nearly all NEPC tumors exhibit dual loss of p53 and Rb, however, this is insufficient to drive lineage transition from PRAD to NEPC. Using patient samples, patient cohorts and patient-derived xenograft models, we identified the transcription factor MYCL as highly expressed in a subset of NEPC tumors, with little expression in PRAD. MYCL is an essential gene in preclinical MYCL+ NEPC models, and expression of MYCL in PRAD models is sufficient to downregulate AR expression and induce complete resistance to AR inhibition only in the context of dual p53/Rb loss of function. In contrast, expression of the other Myc family members MYC and MYCN do not regulate AR expression and result in partial resistance to AR inhibition regardless of p53/Rb status. RNA-sequencing in p53/Rb-null models indicated that MYC and MYCN regulate similar transcriptional programs, corresponding primarily with the interferon and inflammatory responses. However, MYCL expression promotes a unique transcriptional program associated with neuroendocrine and neuronal development gene sets and strongly represses the AR transcriptional program. Similarly, ATAC-sequencing of p53/Rb-null models expressing MYC, MYCN, or MYCL indicates that while all three MYC family members regulate chromatin accessibility at a common core set of genomic sites, each MYC family member also regulates chromatin accessibility at unique sites. Concordant with RNA-sequencing results, MYCL unique sites correspond with neuronal and neuroendocrine gene sets. MYCL expression also results in decreased accessibility of the AR distal enhancer, providing a mechanistic basis for the decreased AR expression and repressed AR transcriptional program observed upon MYCL expression. In accordance with this data, we also find that MYCL expression induces morphological changes consistent with transition to a small-cell neuroendocrine phenotype. Using publicly available RNA interference and CRISPR screen data, we also find that models that express MYCL are differentially dependent upon Myc interacting proteins such as MNT and MAX. Ongoing work is focused on identifying the interactome and unique genetic dependencies of MYC, MYCN, and MYCL to gain a better understanding of the divergent functions and unique co-dependencies of each Myc family member. Collectively, this work implicates MYCL as a novel driver of lineage plasticity and provides insights into the unique and convergent functions of the three Myc family mem","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"30 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/0008-5472.can-25-2630
Rachel A Burge,Ozgun Le Roux,Olesja Popow,Victoria K Spadafora,Christabelle Rajesh,Sara J Adair,Lucas Bialousow,Cailey Murphy,Samaneh Saberi,Silvia G Vaena,Margaret C Taquey,Sarah Allen,Lu Han,Kristi L Helke,Sudarshana Sharma,Michael C Ostrowski,Denis C Guttridge,Toros A Dincman,Todd W Bauer,David F Kashatus,Thomas McFall,Kevin M Haigis,Michael A Hollingsworth,Christopher M Counter,Channing J Der,G Aaron Hobbs
Patients with pancreatic ductal adenocarcinoma (PDAC) harboring KRASG12R mutations have increased overall survival relative to patients with KRASG12D/V mutations. To investigate the mechanisms underlying this differential outcome, we developed a genetically engineered mouse model (GEMM) harboring KRASG12R and p53R172H mutations (KrasLSL-G12R/+;Trp53LSL-R172H/+;p48Cre-ERTM). Unlike KRASG12D models, KRASG12R-GEMMs exhibited limited tumorigenesis, with only 10% developing pancreatic tumors after one year. Additionally, mice harboring whole-body expression of KRASG12R remained healthy for over one year, whereas KRASG12D mice developed rapid multifocal disease. Comparison of KRAS mutant-selective transcription and signaling in murine and human PDAC cell lines, GEMMs, and patient-derived xenograft mouse models revealed that direct KRAS-mediated PI3K activation is necessary for robust tumor initiation in GEMMs. Unexpectedly, KRAS was not the primary driver of PI3K activity in human PDAC cell lines and patient-derived xenograft models regardless of KRAS mutation. KRASG12R and KRASG12D activated a similar pancreas-specific transcriptional network, but KRASG12R promoted these pathways less robustly due to limited ERK/MAPK nuclear translocation. Finally, KRASG12R human pancreatic tumors had an altered tumor microenvironment (TME) with reduced collagen deposition and metastatic liver invasion. Together, this study demonstrated that KRASG12R is capable of driving tumorigenesis despite the reduced ERK/MAPK nuclear translocation and transcriptional output. Although human KRASG12D and KRASG12R-mutant tumors display unexpected similarities in PI3K activity, the differential ERK/MAPK signaling activity and the extrinsic consequences on the TME provide support for using KRASG12R mutation status as a prognostic biomarker for therapeutic strategies.
{"title":"KRASG12R-Mutant Pancreatic Cancer Features Limited ERK/MAPK Transcriptional Activity and a Distinctive Tumor Microenvironment.","authors":"Rachel A Burge,Ozgun Le Roux,Olesja Popow,Victoria K Spadafora,Christabelle Rajesh,Sara J Adair,Lucas Bialousow,Cailey Murphy,Samaneh Saberi,Silvia G Vaena,Margaret C Taquey,Sarah Allen,Lu Han,Kristi L Helke,Sudarshana Sharma,Michael C Ostrowski,Denis C Guttridge,Toros A Dincman,Todd W Bauer,David F Kashatus,Thomas McFall,Kevin M Haigis,Michael A Hollingsworth,Christopher M Counter,Channing J Der,G Aaron Hobbs","doi":"10.1158/0008-5472.can-25-2630","DOIUrl":"https://doi.org/10.1158/0008-5472.can-25-2630","url":null,"abstract":"Patients with pancreatic ductal adenocarcinoma (PDAC) harboring KRASG12R mutations have increased overall survival relative to patients with KRASG12D/V mutations. To investigate the mechanisms underlying this differential outcome, we developed a genetically engineered mouse model (GEMM) harboring KRASG12R and p53R172H mutations (KrasLSL-G12R/+;Trp53LSL-R172H/+;p48Cre-ERTM). Unlike KRASG12D models, KRASG12R-GEMMs exhibited limited tumorigenesis, with only 10% developing pancreatic tumors after one year. Additionally, mice harboring whole-body expression of KRASG12R remained healthy for over one year, whereas KRASG12D mice developed rapid multifocal disease. Comparison of KRAS mutant-selective transcription and signaling in murine and human PDAC cell lines, GEMMs, and patient-derived xenograft mouse models revealed that direct KRAS-mediated PI3K activation is necessary for robust tumor initiation in GEMMs. Unexpectedly, KRAS was not the primary driver of PI3K activity in human PDAC cell lines and patient-derived xenograft models regardless of KRAS mutation. KRASG12R and KRASG12D activated a similar pancreas-specific transcriptional network, but KRASG12R promoted these pathways less robustly due to limited ERK/MAPK nuclear translocation. Finally, KRASG12R human pancreatic tumors had an altered tumor microenvironment (TME) with reduced collagen deposition and metastatic liver invasion. Together, this study demonstrated that KRASG12R is capable of driving tumorigenesis despite the reduced ERK/MAPK nuclear translocation and transcriptional output. Although human KRASG12D and KRASG12R-mutant tumors display unexpected similarities in PI3K activity, the differential ERK/MAPK signaling activity and the extrinsic consequences on the TME provide support for using KRASG12R mutation status as a prognostic biomarker for therapeutic strategies.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"63 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146005383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-a051
Tim Oliver
Introduction: In 1957 spontaneous regression(SR) was established as most frequently in lymphomas, renal and melanoma and in 1968 used by MacFarlain Burnet, to suggest immune surveillance against cancer was a function of the immune system, and that the frequency was greater in earlier stages of cancer. In 1988 Renal cell cancer reported frequency was 6.6% in 73 cases. Despite SR reports increasing since the success of modern immunotherapeuty, a recent review found only 1 case of metastatic prostate cancer (PC) and there was no PC in a series of 58 cases of Radiation Abscopal response(RAR). Though fitting with PC’s reputation as a “cold” cancer, ie having a low response to modern immunotherapy (<5%), this abstract used alternative words in Urology literature to investigate further. Materials and Method: Three terms, evanescent, “vanished” and T0 were used in PUB med searches against second word Prostate.Active surveillance(AC) PC series with post entry biopsy data were also reviewed for incident of T0. Given the high incidence of obesity in series of PC, as additional evidence, we searched for GLP-1RA and PC. Results: The initial search revealed 16 cohorts of prostatectomy and found to have T0. The largest, Knipper, S. et al 2019, found 358/160,352(0.2%) were T0. Most had low volume disease but pT0 was identified in 13/358 (3.6%) with PSA ≥20 ng/ml, in 69 (19.3%) with biopsy GS ≥7 and in 78 (21.8%) with ≥cT2. In a subset, pT0 was identified in 34 (33.3%) patients with ≥2 positive biopsy cores. Eight series of AC with repeat biopsy revealed 952 T0/2862(33.3%), ranging from 41.45% in series with lowest relapse risk to 11.06% with highest relapse risk . Searching for association of GLP-1RA and Prostate cancer revealed a meta-analysis of 5 series of RR 0.72 (95% CI: 0.610 to 0.832). Conclusion: The Knipper et el series demonstrated SR in advanced Primary PC. The nem series in AS is the same as SR HPV positive pre-cancer of the Cervix and as reports of early Prostate cancer with HPV positive from Australia and Canada, investigation is need to see if T0 patients had HPV present. Autopsy series shows that earliest stages of PC precursors occur between 35 and 45 yrs of age , data on GLP-1RA suggests that could be benefit from exploring their use of in low grade PC patients on AS. Citation Format: Tim Oliver. Spontaneous Remission & Abscopal Responses in Prostate Cancer, a marker of “coldness”? [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr A051.
{"title":"Abstract A051: Spontaneous Remission & Abscopal Responses in Prostate Cancer, a marker of “coldness”?","authors":"Tim Oliver","doi":"10.1158/1538-7445.prostateca26-a051","DOIUrl":"https://doi.org/10.1158/1538-7445.prostateca26-a051","url":null,"abstract":"Introduction: In 1957 spontaneous regression(SR) was established as most frequently in lymphomas, renal and melanoma and in 1968 used by MacFarlain Burnet, to suggest immune surveillance against cancer was a function of the immune system, and that the frequency was greater in earlier stages of cancer. In 1988 Renal cell cancer reported frequency was 6.6% in 73 cases. Despite SR reports increasing since the success of modern immunotherapeuty, a recent review found only 1 case of metastatic prostate cancer (PC) and there was no PC in a series of 58 cases of Radiation Abscopal response(RAR). Though fitting with PC’s reputation as a “cold” cancer, ie having a low response to modern immunotherapy (&lt;5%), this abstract used alternative words in Urology literature to investigate further. Materials and Method: Three terms, evanescent, “vanished” and T0 were used in PUB med searches against second word Prostate.Active surveillance(AC) PC series with post entry biopsy data were also reviewed for incident of T0. Given the high incidence of obesity in series of PC, as additional evidence, we searched for GLP-1RA and PC. Results: The initial search revealed 16 cohorts of prostatectomy and found to have T0. The largest, Knipper, S. et al 2019, found 358/160,352(0.2%) were T0. Most had low volume disease but pT0 was identified in 13/358 (3.6%) with PSA ≥20 ng/ml, in 69 (19.3%) with biopsy GS ≥7 and in 78 (21.8%) with ≥cT2. In a subset, pT0 was identified in 34 (33.3%) patients with ≥2 positive biopsy cores. Eight series of AC with repeat biopsy revealed 952 T0/2862(33.3%), ranging from 41.45% in series with lowest relapse risk to 11.06% with highest relapse risk . Searching for association of GLP-1RA and Prostate cancer revealed a meta-analysis of 5 series of RR 0.72 (95% CI: 0.610 to 0.832). Conclusion: The Knipper et el series demonstrated SR in advanced Primary PC. The nem series in AS is the same as SR HPV positive pre-cancer of the Cervix and as reports of early Prostate cancer with HPV positive from Australia and Canada, investigation is need to see if T0 patients had HPV present. Autopsy series shows that earliest stages of PC precursors occur between 35 and 45 yrs of age , data on GLP-1RA suggests that could be benefit from exploring their use of in low grade PC patients on AS. Citation Format: Tim Oliver. Spontaneous Remission & Abscopal Responses in Prostate Cancer, a marker of “coldness”? [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr A051.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"276 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-b043
Carina Magdaleno, Kasturi Banerjee, Cindy Miranti
A healthy prostate gland consists of a bilayer of epithelial luminal and basal cells. Each cell type express unique cell-specific markers that allow us to identify them. In prostate development, we observe basal cells able to differentiate to luminal cells which forms the bilayer of epithelial cells we observe in prostate glands. However, in a prostate tumor the bilayer is lost and the cells instead form a monolayer of tumor cells that express both luminal and basal markers. This suggests a defect in the differentiation process. Previous research in our laboratory demonstrates that the transcription factor, CREB1, is aberrantly activated in prostate cancer cells and blocks differentiation. RNA sequencing results identified GATA2 and TWIST1 as possible CREB1 target genes in prostate cancer. ChIP assay results demonstrate the CREB1 could possibly regulate GATA2 and TWIST1 by binding to the CREB1 binding sites, CREs, within their respective promoters. Both genes have been shown to be elevated in human prostate cancers, but their role in preventing differentiation or driving prostate cancer oncogenesis is unclear. To determine how GATA2 and TWIST1 affect differentiation in prostate cancer, we are knocking them down in prostate cancer cells or overexpressing them in normal prostate cells and performing our differentiation protocol. We were able to knockdown GATA2 as validated by immunoblotting. We demonstrate that knocking down GATA2 allows prostate cancer cells to form a second layer of cells. Immunofluorescence results show prostate cancer cells colocalize both basal and luminal markers whereas prostate cancer cells with GATA2 knocked down have a separation of basal and luminal cells indicative of the bilayer. We demonstrate that the loss of GATA2 in prostate cancer cells decreases the migratory ability of these cells. Together this data suggest GATA2 is responsible for promoting oncogenesis. Previous research in our laboratory demonstrates the requirement of NOTCH3 in promoting prostate epithelial differentiation. To elucidate the mechanism that might be responsible for our findings we investigated if there is a GATA2-NOTCH3 interaction. Thus far, we have determined that prostate cancer cells with GATA2 knocked down have less NOTCH3 than prostate cancer cells. Citation Format: Carina Magdaleno, Kasturi Banerjee, Cindy Miranti. The role of GATA2 and TWIST1 in disrupted differentiation during prostate cancer tumorigenesis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr B043.
{"title":"Abstract B043: The role of GATA2 and TWIST1 in disrupted differentiation during prostate cancer tumorigenesis","authors":"Carina Magdaleno, Kasturi Banerjee, Cindy Miranti","doi":"10.1158/1538-7445.prostateca26-b043","DOIUrl":"https://doi.org/10.1158/1538-7445.prostateca26-b043","url":null,"abstract":"A healthy prostate gland consists of a bilayer of epithelial luminal and basal cells. Each cell type express unique cell-specific markers that allow us to identify them. In prostate development, we observe basal cells able to differentiate to luminal cells which forms the bilayer of epithelial cells we observe in prostate glands. However, in a prostate tumor the bilayer is lost and the cells instead form a monolayer of tumor cells that express both luminal and basal markers. This suggests a defect in the differentiation process. Previous research in our laboratory demonstrates that the transcription factor, CREB1, is aberrantly activated in prostate cancer cells and blocks differentiation. RNA sequencing results identified GATA2 and TWIST1 as possible CREB1 target genes in prostate cancer. ChIP assay results demonstrate the CREB1 could possibly regulate GATA2 and TWIST1 by binding to the CREB1 binding sites, CREs, within their respective promoters. Both genes have been shown to be elevated in human prostate cancers, but their role in preventing differentiation or driving prostate cancer oncogenesis is unclear. To determine how GATA2 and TWIST1 affect differentiation in prostate cancer, we are knocking them down in prostate cancer cells or overexpressing them in normal prostate cells and performing our differentiation protocol. We were able to knockdown GATA2 as validated by immunoblotting. We demonstrate that knocking down GATA2 allows prostate cancer cells to form a second layer of cells. Immunofluorescence results show prostate cancer cells colocalize both basal and luminal markers whereas prostate cancer cells with GATA2 knocked down have a separation of basal and luminal cells indicative of the bilayer. We demonstrate that the loss of GATA2 in prostate cancer cells decreases the migratory ability of these cells. Together this data suggest GATA2 is responsible for promoting oncogenesis. Previous research in our laboratory demonstrates the requirement of NOTCH3 in promoting prostate epithelial differentiation. To elucidate the mechanism that might be responsible for our findings we investigated if there is a GATA2-NOTCH3 interaction. Thus far, we have determined that prostate cancer cells with GATA2 knocked down have less NOTCH3 than prostate cancer cells. Citation Format: Carina Magdaleno, Kasturi Banerjee, Cindy Miranti. The role of GATA2 and TWIST1 in disrupted differentiation during prostate cancer tumorigenesis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr B043.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"31 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-a064
Tessa B. Tolson, Beatrice Knudsen, Yi Qiao, Wei Zhang, Mason Hovinga, Chance Walker, Erika Egal, Michael Freeman, Yosep Chong, Qian Yang
INTRODUCTION: High-grade, locally advanced primary prostate cancer (PC) carries an increased risk of metastatic progression. The Androgen Receptor indifferent (ARi) phenotype is characterized by low PSA expression despite high expression of AR and has been noted in CRPC where it is considered to be induced by treatment. We sought to examine primary, treatment-naïve PC cases for evidence of ARi. METHODS: We applied digital pathology and multiplexed, single-cell resolution tissue staining techniques to a locally advanced PC patient cohort with 27 patients, and computational RNA expression analysis to the TCGA prostate cancer dataset (TCGA-PRAD). Thus, we first quantify AR and PSA protein expression levels in cells and then identify tissue regions with >30% AR+ cells and <30% PSA+ cells as ARi cases. The PC regions we analyzed include seminal vesicle invasion (SV), lymph node metastasis (LN), extracapsular extension (ECE), perineural invasion (PNI), cribriform (CRIB), and non-cribriform (HGNC). For computational analysis of the TCGA bulk RNA sequencing data, we stratify patients according to high AR / low PSA (ARi-cohort) and high AR / high PSA (AR responsive, or ARr-cohort) and perform differential expression and gene set enrichment analysis accordingly. RESULTS: Pathologically, we identified ARi phenotype in one or more tissue samples from 5 out of 27 patients. ARi is more frequent in LN compared to SV; and within the prostate, HGNC exhibited more ARi than CRIB. Computational analysis of the TCGA-PRAD cohort (n=500) revealed that ARi patients, compared to AR-responsive patients, are enriched in epithelial-mesenchymal transition (EMT), stem-like, and ONECUT2-induced gene signatures. Moreover, we demonstrate that ARi phenotype is strongly associated with the Prostate Cancer Subtype 1 (PCS1) and PAM50 Basal subtype, consistent with the aggressiveness of the disease. CONCLUSION: We identified the ARi phenotype in two cohorts of primary PC patients using both tissue staining with single cell resolution and computational analysis of bulk RNA expression. We further characterized this phenotype using published gene signatures and determined its relationship to PC cancer subtypes. Furthermore, we propose that the presence of the ARi phenotype can be assessed quickly by clinical immunohistochemistry with AR and PSA antibodies followed by quantification of positive ARi cells (as defined by a high AR:PSA ratio). Moving forward, we will perform single cell RNA expression analysis on the cohort we performed tissue staining to further validate the presence and behavior of ARi phenotype in primary PC, expand into other cohorts, as well as evaluate treatment strategies likely to elicit a response in these cells according to their transcriptomic phenotypes. Citation Format: Tessa B. Tolson, Beatrice Knudsen, Yi Qiao, Wei Zhang, Mason Hovinga, Chance Walker, Erika Egal, Michael Freeman, Yosep Chong, Qian Yang. Identification and phenotypical evaluation
简介:高级别、局部晚期原发性前列腺癌(PC)转移进展的风险增加。雄激素受体冷漠(ARi)表型的特点是低PSA表达,尽管AR高表达,并且在CRPC中被注意到,它被认为是由治疗诱导的。我们试图检查原发性,treatment-naïve PC病例的ARi证据。方法:我们将数字病理学和多路复用、单细胞分辨率组织染色技术应用于27例局部晚期PC患者队列,并对TCGA前列腺癌数据集(TCGA- prad)进行计算RNA表达分析。因此,我们首先量化细胞中AR和PSA蛋白的表达水平,然后用&;gt;30% AR+细胞和&;lt;30%的PSA+细胞为ARi病例。我们分析的PC区域包括精囊侵犯(SV)、淋巴结转移(LN)、囊外延伸(ECE)、神经周围侵犯(PNI)、筛状(CRIB)和非筛状(HGNC)。为了计算分析TCGA散装RNA测序数据,我们根据高AR /低PSA (ari -队列)和高AR /高PSA (AR应答,或AR -队列)对患者进行分层,并相应地进行差异表达和基因集富集分析。结果:病理学上,我们在27例患者中的5例的一个或多个组织样本中发现了ARi表型。ARi在LN中比在SV中更常见;前列腺内,HGNC比CRIB表现出更多的ARi。TCGA-PRAD队列(n=500)的计算分析显示,与ar反应性患者相比,ARi患者富含上皮-间质转化(EMT)、茎样和onecut2诱导的基因特征。此外,我们证明ARi表型与前列腺癌亚型1 (PCS1)和PAM50基础亚型密切相关,与疾病的侵袭性一致。结论:我们通过单细胞分辨率的组织染色和大量RNA表达的计算分析,确定了两组原发性PC患者的ARi表型。我们使用已发表的基因特征进一步表征了这种表型,并确定了它与PC癌亚型的关系。此外,我们建议ARi表型的存在可以通过临床免疫组织化学与AR和PSA抗体快速评估,然后定量阳性ARi细胞(由高AR:PSA比率定义)。下一步,我们将对我们进行组织染色的队列进行单细胞RNA表达分析,以进一步验证原发性PC中ARi表型的存在和行为,扩展到其他队列,并根据这些细胞的转录组表型评估可能引起反应的治疗策略。引文格式:Tessa B. Tolson, Beatrice Knudsen, Yi Qiao, Wei Zhang, Mason Hovinga, Chance Walker, Erika Egal, Michael Freeman, Yosep Chong, Yang Qiantreatment-naïve原发性前列腺癌患者雄激素受体无差异表型的鉴定及表型评价[摘要]。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(2增刊):no A064。
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Pub Date : 2026-01-20DOI: 10.1158/1538-7445.prostateca26-b080
Dana S. Vargas Solivan, JuanJuan (Ivy) Yin, Tri Truong, Joseph Twohig, Ross Lake, Adam G. Sowalsky
Background: Metastatic castration-resistant prostate cancer (mCRPC) is a heterogeneous disease, in which patients each carry distinct molecular features that drive metastatic progression. However, the lack of clinically representative models that recapitulate this disease have limited our understanding in the heterogeneity between patients. LuCaP 147, established from a liver metastasis biopsy, is a prostate cancer transplantable xenograft carrying AR and SPOP mutations with a further hypermutated phenotype, as well as loss of MSH2 and MSH6 expression. Methods: Using LuCaP 147, we developed a novel patient-derived metastasis (PDM) model in NSG mice via intracardiac injection. The development of metastasis was monitored through weekly bioluminescent imaging. We analyzed the tumor burden and survival rate of the PDM147 models. At the endpoint, long bones, spines and soft tissues were collected. To evaluate the histologic phenotype of PDM147, tissue sections were stained by immunohistochemistry (IHC) for adenocarcinoma markers including AR and neuroendocrine markers (which include SOX2, ASCL1, and SYP). Results: After intracardiac injection, tumor burden (BLI) was detected after 5 weeks, and mice developed morbidity after 7-8 weeks. H&E stains showed that PDM147 developed bone metastases in spines, long bones, as well as visceral metastases in liver, brain, spinal cord, kidney and adrenal glands. IHC indicated that metastases were heterogeneous with both AR+/NE- and AR-/NE+ cells. AR+ and SYP+ cells were intermingled in the tumor, but the stains themselves were mutually exclusive between cels. Interestingly, no androgen-deprivation therapy was needed to promote NE differentiation, showcasing the biological novelty [SA([1] of this model. Conclusion: PDM147 is a hypermutated tumor with mutually exclusively expressing AR+ and NE+ markers in metastatic sites, including soft tissues and nervous tissues. Future work to define distinct pathways and molecular markers that lead to de novo vs. treatment-induced NE phenotype may offer a better understanding of the biology driving metastatic spread in these similar yet distinct NE subtypes and the role a hypermutator tumor can have in prostate cancer progression. These findings underscore the value of patient-derived models to study mCRPC progression and heterogeneity. Further use of these models for high-throughput drug screens may uncover targeted therapies for advanced prostate cancer. Citation Format: Dana S. Vargas Solivan, JuanJuan (Ivy) Yin, Tri Truong, Joseph Twohig, Ross Lake, Adam G. Sowalsky. A patient-derived metastasis model with spontaneous neuroendocrine transformation [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl): nr B080.
背景:转移性去势抵抗性前列腺癌(mCRPC)是一种异质性疾病,其中每个患者携带不同的分子特征,驱动转移进展。然而,缺乏临床代表性的模型来概括这种疾病,限制了我们对患者之间异质性的理解。LuCaP 147是一种可移植的前列腺癌异种移植物,它携带AR和SPOP突变,具有进一步的高突变表型,以及MSH2和MSH6表达缺失。方法:利用lucap147,通过心内注射建立NSG小鼠患者源性转移(PDM)模型。通过每周一次的生物发光成像监测转移的进展。我们分析了PDM147模型的肿瘤负荷和生存率。在终点处收集长骨、脊柱和软组织。为了评估PDM147的组织学表型,对组织切片进行免疫组化(IHC)染色,检测腺癌标志物,包括AR和神经内分泌标志物(包括SOX2、ASCL1和SYP)。结果:经心内注射后5周检测肿瘤负荷(BLI), 7-8周小鼠发病。H&;E染色显示PDM147在脊柱、长骨发生骨转移,并在肝脏、脑、脊髓、肾脏和肾上腺发生内脏转移。免疫组化显示AR+/NE-和AR-/NE+细胞的转移是异质性的。AR+和SYP+细胞在肿瘤中混杂,但细胞之间的染色本身是互斥的。有趣的是,不需要雄激素剥夺治疗来促进NE分化,这显示了该模型的生物学新颖性[SA([1])]。结论:PDM147是一种在转移部位(包括软组织和神经组织)相互排斥表达AR+和NE+标记的超突变肿瘤。未来的工作是确定导致新生和治疗诱导的NE表型的不同途径和分子标记,这可能有助于更好地理解这些相似但不同的NE亚型中驱动转移扩散的生物学机制,以及超突变肿瘤在前列腺癌进展中的作用。这些发现强调了患者衍生模型在研究mCRPC进展和异质性方面的价值。进一步使用这些模型进行高通量药物筛选可能会发现晚期前列腺癌的靶向治疗方法。引用格式:Dana S. Vargas Solivan, JuanJuan (Ivy) Yin, Tri Truong, Joseph Twohig, Ross Lake, Adam G. Sowalsky。自发性神经内分泌转化的患者源性转移模型[摘要]。摘自:美国癌症研究协会癌症研究特别会议论文集:前列腺癌研究和治疗的创新;2026年1月20日至22日;宾夕法尼亚州的费城费城(PA): AACR;巨蟹座Res 2026;86(2增刊):B080。
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