Carolin Siech, Mario de Angelis, Letizia Maria Ippolita Jannello, Francesco Di Bello, Natali Rodriguez Peñaranda, Jordan A Goyal, Zhe Tian, Fred Saad, Shahrokh F Shariat, Stefano Puliatti, Nicola Longo, Ottavio de Cobelli, Alberto Briganti, Mike Wenzel, Philipp Mandel, Luis A Kluth, Felix K H Chun, Pierre I Karakiewicz
Survival differences in rare histological prostate cancer (PCa) subtypes relative to age-matched population-based controls are unknown. Within Surveillance, Epidemiology, and End Results database (2004-2020), newly diagnosed (2004-2015) PCa patients were identified. Relying on the Social Security Administration Life Tables (2004-2020) with 5 years of follow-up, age-matched population-based controls (Monte Carlo simulation) were simulated for each patient. Kaplan-Meier analyses addressed survival rates. Of 582,220 patients, 580,368 (99.68%) harbored acinar, 867 (0.15%) ductal, 534 (0.09%) neuroendocrine, 368 (0.07%) mucinous, and 83 (0.01%) signet ring cell carcinoma. The metastatic stage was most prevalent in neuroendocrine (62%). In the localized stage, the overall survival difference at 5 years of follow-up was greatest in neuroendocrine (22% vs. 72%), signet ring cell (78% vs. 84%), and ductal carcinoma (71% vs. 77%). In the locally advanced stage, overall survival difference was greatest in neuroendocrine (16% vs. 79%), signet ring cell (75% vs. 91%), ductal (78% vs. 84%), and mucinous carcinoma (84% vs. 90%). In the metastatic stage, the overall survival difference was greatest in neuroendocrine (3% vs. 81%), mucinous (26% vs. 84%), and acinar carcinoma (27% vs. 85%). Regardless of stage, neuroendocrine carcinoma patients exhibit the least favorable life expectancy compared with population-based controls. Conversely, all other rare histological PCa subtypes do not meaningfully affect life expectancy in localized or locally advanced stages, except for locally advanced signet ring cell adenocarcinoma.
罕见组织学前列腺癌(PCa)亚型与年龄匹配人群对照的生存差异尚不清楚。在监测、流行病学和最终结果数据库(2004-2020)中,确定了新诊断的(2004-2015)PCa患者。根据社会保障局生命表(2004-2020)进行5年随访,对每位患者进行年龄匹配的基于人群的对照(蒙特卡洛模拟)。Kaplan-Meier分析分析了生存率。在582,220例患者中,580,368例(99.68%)为腺泡癌,867例(0.15%)为导管癌,534例(0.09%)为神经内分泌癌,368例(0.07%)为粘液癌,83例(0.01%)为印戒细胞癌。转移期以神经内分泌为主(62%)。在局部期,随访5年的总生存率差异最大的是神经内分泌(22%对72%)、印戒细胞(78%对84%)和导管癌(71%对77%)。在局部晚期,神经内分泌癌(16%对79%)、印戒细胞癌(75%对91%)、导管癌(78%对84%)和粘液癌(84%对90%)的总生存率差异最大。在转移期,神经内分泌癌(3% vs. 81%)、黏液癌(26% vs. 84%)和腺泡癌(27% vs. 85%)的总生存率差异最大。与以人群为基础的对照组相比,无论分期如何,神经内分泌癌患者表现出最不利的预期寿命。相反,除局部晚期印戒细胞腺癌外,所有其他罕见的组织学前列腺癌亚型对局部或局部晚期的预期寿命没有显著影响。
{"title":"Life expectancy in rare histological prostate cancer subtypes.","authors":"Carolin Siech, Mario de Angelis, Letizia Maria Ippolita Jannello, Francesco Di Bello, Natali Rodriguez Peñaranda, Jordan A Goyal, Zhe Tian, Fred Saad, Shahrokh F Shariat, Stefano Puliatti, Nicola Longo, Ottavio de Cobelli, Alberto Briganti, Mike Wenzel, Philipp Mandel, Luis A Kluth, Felix K H Chun, Pierre I Karakiewicz","doi":"10.1002/ijc.35323","DOIUrl":"https://doi.org/10.1002/ijc.35323","url":null,"abstract":"<p><p>Survival differences in rare histological prostate cancer (PCa) subtypes relative to age-matched population-based controls are unknown. Within Surveillance, Epidemiology, and End Results database (2004-2020), newly diagnosed (2004-2015) PCa patients were identified. Relying on the Social Security Administration Life Tables (2004-2020) with 5 years of follow-up, age-matched population-based controls (Monte Carlo simulation) were simulated for each patient. Kaplan-Meier analyses addressed survival rates. Of 582,220 patients, 580,368 (99.68%) harbored acinar, 867 (0.15%) ductal, 534 (0.09%) neuroendocrine, 368 (0.07%) mucinous, and 83 (0.01%) signet ring cell carcinoma. The metastatic stage was most prevalent in neuroendocrine (62%). In the localized stage, the overall survival difference at 5 years of follow-up was greatest in neuroendocrine (22% vs. 72%), signet ring cell (78% vs. 84%), and ductal carcinoma (71% vs. 77%). In the locally advanced stage, overall survival difference was greatest in neuroendocrine (16% vs. 79%), signet ring cell (75% vs. 91%), ductal (78% vs. 84%), and mucinous carcinoma (84% vs. 90%). In the metastatic stage, the overall survival difference was greatest in neuroendocrine (3% vs. 81%), mucinous (26% vs. 84%), and acinar carcinoma (27% vs. 85%). Regardless of stage, neuroendocrine carcinoma patients exhibit the least favorable life expectancy compared with population-based controls. Conversely, all other rare histological PCa subtypes do not meaningfully affect life expectancy in localized or locally advanced stages, except for locally advanced signet ring cell adenocarcinoma.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chest x-ray (CXR) is widely used for lung cancer screening in Japan. We evaluated the sensitivity and specificity of CXR in detecting early lung cancer and its histological types. We cross-referenced lung cancer municipality screening data with the regional cancer registry database. The results of individuals screened at least once from 2016 to 2018 were utilized to calculate CXR's sensitivity and specificity for lung cancer diagnosed within 1 year of screening (n = 161,251) by stage and its histological types. We stratified analyses based on sex, age, smoking status, first screening, and screening intervals. CXR's sensitivity and specificity for early-stage lung cancer were 73.6% (95% confidence interval [CI], 66.8-79.6) and 94.1% (95% CI, 94.0-94.2), respectively. No significant differences were found in sex or smoking status. The sensitivity for early-stage adenocarcinoma was 76.0% (95% CI, 68.3-82.7), which was higher than that for early-stage squamous cell carcinoma (70.4% [95% CI, 67.3-86.0]). However, no significant differences were observed (p = .532). No significant differences were found in sex or smoking status for early-stage adenocarcinoma or early-stage squamous cell carcinoma. Due to its moderate sensitivity and high specificity, CXR could be a useful tool for mass screening in the general population. However, because CXR failed to detect 26.4% of early-stage cases, practitioners should inform high-risk patients of other screening options.
{"title":"Assessing the performance of chest x-ray screening in detecting early-stage lung cancer in the general population.","authors":"Choy-Lye Chei, Sho Nakamura, Kaname Watanabe, Takashi Mizutani, Hiroto Narimatsu","doi":"10.1002/ijc.35316","DOIUrl":"https://doi.org/10.1002/ijc.35316","url":null,"abstract":"<p><p>Chest x-ray (CXR) is widely used for lung cancer screening in Japan. We evaluated the sensitivity and specificity of CXR in detecting early lung cancer and its histological types. We cross-referenced lung cancer municipality screening data with the regional cancer registry database. The results of individuals screened at least once from 2016 to 2018 were utilized to calculate CXR's sensitivity and specificity for lung cancer diagnosed within 1 year of screening (n = 161,251) by stage and its histological types. We stratified analyses based on sex, age, smoking status, first screening, and screening intervals. CXR's sensitivity and specificity for early-stage lung cancer were 73.6% (95% confidence interval [CI], 66.8-79.6) and 94.1% (95% CI, 94.0-94.2), respectively. No significant differences were found in sex or smoking status. The sensitivity for early-stage adenocarcinoma was 76.0% (95% CI, 68.3-82.7), which was higher than that for early-stage squamous cell carcinoma (70.4% [95% CI, 67.3-86.0]). However, no significant differences were observed (p = .532). No significant differences were found in sex or smoking status for early-stage adenocarcinoma or early-stage squamous cell carcinoma. Due to its moderate sensitivity and high specificity, CXR could be a useful tool for mass screening in the general population. However, because CXR failed to detect 26.4% of early-stage cases, practitioners should inform high-risk patients of other screening options.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Myeloid cell leukaemia 1 (MCL-1) is a BCL-2 family protein that was identified in 1993 by Kozopaz et al.<span><sup>1</sup></span> which, like other members of this family, was found to have a role in the regulation of apoptosis. This occurs as MCL-1 inhibits the intrinsic pathway via binding to the BH3 domains of proapoptotic BCL-2 family proteins. Maintaining a balance between cell division and apoptosis is necessary for homeostasis, and overexpression of MCL-1 disrupts this balance, leading in turn to tumour formation. It is implicated in multiple different types of cancer where high levels are generally associated with poor prognosis, including colorectal cancer (CRC), the second most common cause of cancer death. In this setting, MCL-1 has been found to induce chemoresistance in CRC.<span><sup>2</sup></span> Due to this, BH3 mimetics that inhibit MCL-1 have been investigated as a treatment option with inhibition of MCL-1 having been shown to overcome resistance to regorafenib in CRC cell models.<span><sup>3</sup></span> Along with its canonical role in apoptosis, MCL-1 has also been shown to have multiple other functions including DNA damage repair and immune cell regulation,<span><sup>4</sup></span> although the impact of these functions in individual malignancies such as CRC is not fully understood.</p><p>In the accompanying article, Mittal et al.<span><sup>5</sup></span> aimed to better characterise the role of <i>MCL-1</i> expression on molecular features in CRC. The investigators used multiple techniques including next-generation sequencing, whole exome sequencing and whole transcriptome sequencing in clinical CRC patient samples derived from the Caris platform. These were grouped based on <i>MCL-1</i> mRNA expression into quartiles, <i>MCL-1</i><sup>high</sup> being the top quartile and <i>MCL-1</i><sup>low</sup> the lowest. Samples were also classified based on microsatellite instability/mismatch repair (MMR) status into proficient MMR/microsatellite stable (pMMR/MSS) and MMR deficient/MSI-high (dMMR/MSI-H). The team here found that <i>MCL-1</i><sup>high</sup> expression is to be associated with a significantly higher frequency of dMMR/MSI-H status. It was also associated with higher tumour mutational burden (TMB); however, interestingly in the pMMR/MSS subset, <i>MCL-1</i> expression was not significantly associated with TMB.</p><p>They found <i>MCL-1</i><sup>high</sup> CRC had higher mutation rates in <i>BCOR, TP53, KMT2D, ASXL1, KDM6A, ATM, MSH6, SPEN, KRAS, STK11, GNAS</i> and <i>RNF43</i> and lower mutation rates in <i>CDKN1B, NRAS</i> and <i>APC</i>. Copy number amplifications were also found in several genes in the <i>MCL-1</i><sup>high</sup> group. They also assessed the interferon (IFN) and T cell-inflamed scores and found both IFN-γ and T cell-inflamed scores to be significantly higher in the <i>MCL-1</i><sup>high</sup> group. Taking this forward at a translational level, results found could help inform on possible treatme
{"title":"Effects of MCL-1 expression in colorectal cancer","authors":"Jessamy Adams, Justin Stebbing","doi":"10.1002/ijc.35308","DOIUrl":"10.1002/ijc.35308","url":null,"abstract":"<p>Myeloid cell leukaemia 1 (MCL-1) is a BCL-2 family protein that was identified in 1993 by Kozopaz et al.<span><sup>1</sup></span> which, like other members of this family, was found to have a role in the regulation of apoptosis. This occurs as MCL-1 inhibits the intrinsic pathway via binding to the BH3 domains of proapoptotic BCL-2 family proteins. Maintaining a balance between cell division and apoptosis is necessary for homeostasis, and overexpression of MCL-1 disrupts this balance, leading in turn to tumour formation. It is implicated in multiple different types of cancer where high levels are generally associated with poor prognosis, including colorectal cancer (CRC), the second most common cause of cancer death. In this setting, MCL-1 has been found to induce chemoresistance in CRC.<span><sup>2</sup></span> Due to this, BH3 mimetics that inhibit MCL-1 have been investigated as a treatment option with inhibition of MCL-1 having been shown to overcome resistance to regorafenib in CRC cell models.<span><sup>3</sup></span> Along with its canonical role in apoptosis, MCL-1 has also been shown to have multiple other functions including DNA damage repair and immune cell regulation,<span><sup>4</sup></span> although the impact of these functions in individual malignancies such as CRC is not fully understood.</p><p>In the accompanying article, Mittal et al.<span><sup>5</sup></span> aimed to better characterise the role of <i>MCL-1</i> expression on molecular features in CRC. The investigators used multiple techniques including next-generation sequencing, whole exome sequencing and whole transcriptome sequencing in clinical CRC patient samples derived from the Caris platform. These were grouped based on <i>MCL-1</i> mRNA expression into quartiles, <i>MCL-1</i><sup>high</sup> being the top quartile and <i>MCL-1</i><sup>low</sup> the lowest. Samples were also classified based on microsatellite instability/mismatch repair (MMR) status into proficient MMR/microsatellite stable (pMMR/MSS) and MMR deficient/MSI-high (dMMR/MSI-H). The team here found that <i>MCL-1</i><sup>high</sup> expression is to be associated with a significantly higher frequency of dMMR/MSI-H status. It was also associated with higher tumour mutational burden (TMB); however, interestingly in the pMMR/MSS subset, <i>MCL-1</i> expression was not significantly associated with TMB.</p><p>They found <i>MCL-1</i><sup>high</sup> CRC had higher mutation rates in <i>BCOR, TP53, KMT2D, ASXL1, KDM6A, ATM, MSH6, SPEN, KRAS, STK11, GNAS</i> and <i>RNF43</i> and lower mutation rates in <i>CDKN1B, NRAS</i> and <i>APC</i>. Copy number amplifications were also found in several genes in the <i>MCL-1</i><sup>high</sup> group. They also assessed the interferon (IFN) and T cell-inflamed scores and found both IFN-γ and T cell-inflamed scores to be significantly higher in the <i>MCL-1</i><sup>high</sup> group. Taking this forward at a translational level, results found could help inform on possible treatme","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":"156 8","pages":"1499-1500"},"PeriodicalIF":5.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijc.35308","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pooja Mittal, Francesca Battaglin, Yasmine Baca, Joanne Xiu, Alex Farrell, Shivani Soni, Jae Ho Lo, Lesly Torres-Gonzalez, Sandra Algaze, Priya Jayachandran, Karam Ashouri, Alexandra Wong, Wu Zhang, Jian Yu, Lin Zhang, Benjamin A. Weinberg, Emil Lou, Anthony F. Shields, Richard M. Goldberg, John L. Marshall, Sanjay Goel, Indrakant K. Singh, Heinz-Josef Lenz
Myeloid cell leukemia 1 (MCL-1) is a member of the B-cell lymphoma 2 protein family and has anti-apoptotic functions. Deregulation of MCL-1 has been reported in several cancers, including lung and breast cancer. In the present study, the association of MCL-1 expression with molecular features in colorectal cancer (CRC) has been highlighted. CRC samples from Caris Life Sciences (Phoenix, AZ) were analyzed using NextGen DNA sequencing, whole transcriptome sequencing, whole exome sequencing, and immunohistochemistry (IHC); and stratified based on MCL-1 expression as top quartile MCL-1high (Q4) and bottom quartile MCL-1low (Q1). Immune cell infiltration (CI) in the tumor microenvironment (TME) was measured using RNA deconvolution analysis (QuanTIseq). MCL-1high tumors were associated with an increased rate of programmed death ligand 1 IHC, higher T cell-inflamed signature, interferon score, microsatellite instability-high and tumor mutational burden-high status. MCL-1high was associated with higher mutation rates of BCOR, TP53, KMT2D, ASXL1, KDM6A, ATM, MSH6, SPEN, KRAS, STK11, GNAS, RNF43, and lower mutation rates of CDKN1B, NRAS, and APC, and copy number amplifications in several genes. MCL-1high TME had higher CI of M1 and M2 macrophages, B cells, natural killer cells, neutrophils, and T-regulatory cells infiltration, and lower CI of myeloid dendritic cells. Higher MCL-1 expression is significantly associated with favorable clinical outcomes in CRC cohorts. Our data showed a strong correlation between MCL-1 and distinct immune biomarkers and TME CI in CRC. Our findings suggest MCL-1 is a potential modulator of antitumor immunity, TME, and biomarker in CRC.
{"title":"Comprehensive characterization of MCL-1 in patients with colorectal cancer: Expression, molecular profiles, and outcomes","authors":"Pooja Mittal, Francesca Battaglin, Yasmine Baca, Joanne Xiu, Alex Farrell, Shivani Soni, Jae Ho Lo, Lesly Torres-Gonzalez, Sandra Algaze, Priya Jayachandran, Karam Ashouri, Alexandra Wong, Wu Zhang, Jian Yu, Lin Zhang, Benjamin A. Weinberg, Emil Lou, Anthony F. Shields, Richard M. Goldberg, John L. Marshall, Sanjay Goel, Indrakant K. Singh, Heinz-Josef Lenz","doi":"10.1002/ijc.35304","DOIUrl":"10.1002/ijc.35304","url":null,"abstract":"<p>Myeloid cell leukemia 1 (MCL-1) is a member of the B-cell lymphoma 2 protein family and has anti-apoptotic functions. Deregulation of MCL-1 has been reported in several cancers, including lung and breast cancer. In the present study, the association of <i>MCL-1</i> expression with molecular features in colorectal cancer (CRC) has been highlighted. CRC samples from Caris Life Sciences (Phoenix, AZ) were analyzed using NextGen DNA sequencing, whole transcriptome sequencing, whole exome sequencing, and immunohistochemistry (IHC); and stratified based on MCL-1 expression as top quartile <i>MCL-1</i><sup>high</sup> (Q4) and bottom quartile <i>MCL-1</i><sup>low</sup> (Q1). Immune cell infiltration (CI) in the tumor microenvironment (TME) was measured using RNA deconvolution analysis (QuanTIseq). <i>MCL-1</i><sup>high</sup> tumors were associated with an increased rate of programmed death ligand 1 IHC, higher T cell-inflamed signature, interferon score, microsatellite instability-high and tumor mutational burden-high status. <i>MCL-1</i><sup>high</sup> was associated with higher mutation rates of <i>BCOR</i>, <i>TP53</i>, <i>KMT2D</i>, <i>ASXL1</i>, <i>KDM6A</i>, <i>ATM</i>, <i>MSH6</i>, <i>SPEN</i>, <i>KRAS</i>, <i>STK11</i>, <i>GNAS</i>, <i>RNF43</i>, and lower mutation rates of <i>CDKN1B</i>, <i>NRAS</i>, and <i>APC</i>, and copy number amplifications in several genes. <i>MCL-1</i><sup>high</sup> TME had higher CI of M1 and M2 macrophages, B cells, natural killer cells, neutrophils, and T-regulatory cells infiltration, and lower CI of myeloid dendritic cells. Higher <i>MCL-1</i> expression is significantly associated with favorable clinical outcomes in CRC cohorts. Our data showed a strong correlation between <i>MCL-1</i> and distinct immune biomarkers and TME CI in CRC. Our findings suggest MCL-1 is a potential modulator of antitumor immunity, TME, and biomarker in CRC.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":"156 8","pages":"1583-1593"},"PeriodicalIF":5.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijc.35304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Viktor Grünwald, Rana R. McKay, Tomas Buchler, Masatoshi Eto, Se Hoon Park, Toshio Takagi, Sylvie Zanetta, Daniel Keizman, Cristina Suárez, Sylvie Négrier, Jae Lyun Lee, Daniele Santini, Jens Bedke, Michael Staehler, Christian Kollmannsberger, Toni K. Choueiri, Robert J. Motzer, Joseph E. Burgents, Ran Xie, Chinyere E. Okpara, Thomas Powles
Lenvatinib plus pembrolizumab significantly improved efficacy versus sunitinib in treatment of advanced renal cell carcinoma (aRCC) in the phase 3 CLEAR study. We report results of an exploratory post hoc analysis of tumor response data based on baseline metastatic characteristics of patients who received lenvatinib plus pembrolizumab versus sunitinib, at the final overall survival analysis time point of CLEAR (cutoff: July 31, 2022). Treatment-naïve adults with aRCC were randomized to: lenvatinib (20 mg PO QD in 21-day cycles) plus pembrolizumab (n = 355; 200 mg IV Q3W); lenvatinib plus everolimus (not reported here); or sunitinib (n = 357; 50 mg PO QD; 4 weeks on/2 weeks off). The most common (lenvatinib plus pembrolizumab; sunitinib, respectively) metastatic site was lung (71.0%; 63.9%), followed by lymph node (45.6%; 43.7%), bone (22.5%; 24.9%), and liver (17.7%; 19.6%). Across treatment arms, ≥65% had two or more metastatic organs/sites involved, >80% of patients had nontarget lesions, and ~45% had baseline sums of diameters of target lesions ≥60 mm. Lenvatinib plus pembrolizumab demonstrated greater progression-free survival, objective response rate, and duration of response versus sunitinib across evaluable subgroups regardless of site or size of baseline metastasis or number of metastatic sites at baseline. Overall survival generally trended to favor lenvatinib plus pembrolizumab versus sunitinib; and tumor shrinkage was greater across sites (lung, lymph node, liver, and bone) for patients in the lenvatinib-plus-pembrolizumab arm versus the sunitinib arm. These results further support lenvatinib plus pembrolizumab as a standard-of-care in patients with aRCC regardless of site or size of baseline metastasis or the number of metastatic sites.
{"title":"Clinical outcomes by baseline metastases in patients with renal cell carcinoma treated with lenvatinib plus pembrolizumab versus sunitinib: Post hoc analysis of the CLEAR trial","authors":"Viktor Grünwald, Rana R. McKay, Tomas Buchler, Masatoshi Eto, Se Hoon Park, Toshio Takagi, Sylvie Zanetta, Daniel Keizman, Cristina Suárez, Sylvie Négrier, Jae Lyun Lee, Daniele Santini, Jens Bedke, Michael Staehler, Christian Kollmannsberger, Toni K. Choueiri, Robert J. Motzer, Joseph E. Burgents, Ran Xie, Chinyere E. Okpara, Thomas Powles","doi":"10.1002/ijc.35288","DOIUrl":"10.1002/ijc.35288","url":null,"abstract":"<p>Lenvatinib plus pembrolizumab significantly improved efficacy versus sunitinib in treatment of advanced renal cell carcinoma (aRCC) in the phase 3 CLEAR study. We report results of an exploratory post hoc analysis of tumor response data based on baseline metastatic characteristics of patients who received lenvatinib plus pembrolizumab versus sunitinib, at the final overall survival analysis time point of CLEAR (cutoff: July 31, 2022). Treatment-naïve adults with aRCC were randomized to: lenvatinib (20 mg PO QD in 21-day cycles) plus pembrolizumab (<i>n</i> = 355; 200 mg IV Q3W); lenvatinib plus everolimus (not reported here); or sunitinib (<i>n</i> = 357; 50 mg PO QD; 4 weeks on/2 weeks off). The most common (lenvatinib plus pembrolizumab; sunitinib, respectively) metastatic site was lung (71.0%; 63.9%), followed by lymph node (45.6%; 43.7%), bone (22.5%; 24.9%), and liver (17.7%; 19.6%). Across treatment arms, ≥65% had two or more metastatic organs/sites involved, >80% of patients had nontarget lesions, and ~45% had baseline sums of diameters of target lesions ≥60 mm. Lenvatinib plus pembrolizumab demonstrated greater progression-free survival, objective response rate, and duration of response versus sunitinib across evaluable subgroups regardless of site or size of baseline metastasis or number of metastatic sites at baseline. Overall survival generally trended to favor lenvatinib plus pembrolizumab versus sunitinib; and tumor shrinkage was greater across sites (lung, lymph node, liver, and bone) for patients in the lenvatinib-plus-pembrolizumab arm versus the sunitinib arm. These results further support lenvatinib plus pembrolizumab as a standard-of-care in patients with aRCC regardless of site or size of baseline metastasis or the number of metastatic sites.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":"156 7","pages":"1326-1335"},"PeriodicalIF":5.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijc.35288","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
María S Rodriguez, Yamil D Mahmoud, Silvia Vanzulli, Sebastián Giulianelli, Eunice Spengler, Paula Martínez Vazquez, Javier Burruchaga, John Bushweller, Caroline A Lamb, Isabel A Lüthy, Claudia Lanari, Cecilia Pérez Piñero
Overcoming luminal breast cancer (BrCa) progression remains a critical challenge for improved overall patient survival. RUNX2 has emerged as a protein related to aggressiveness in triple-negative BrCa, however its role in luminal tumors remains elusive. We have previously shown that active FGFR2 (FGFR2-CA) contributes to increased tumor growth and that RUNX2 expression was high in hormone-independent mouse mammary carcinomas. To elucidate the interaction between FGFR2 and RUNX2 in human BrCa, we investigated their roles in tumor progression and treatment responsiveness. Increased FGFR2 activity resulted in higher RUNX2 expression, cell proliferation, and metastasis. In contrast, silencing FGFR2 reduced these parameters. Overexpression of RUNX2 in FGFR2-silenced cells rescued the inhibitory effects, promoting a more aggressive phenotype, even if compared with the wt RUNX2-transfected cells, which also had increased aggressiveness compared with naïve-transfected cells. RUNX2-overexpressing tumors were insensitive to endocrine- or FGFR inhibitor treatments. Notably, the CBFβ-RUNX complex inhibitor, AI-14-91, demonstrated great effectiveness in vitro. In a small cohort of luminal BrCa patients, nuclear RUNX2 expression was associated with tumor recurrence. Transcriptomic analysis strongly supported these data showing that patients with luminal carcinomas with high RUNX2 activity score have a worse progression-free interval than those with low RUNX2 activity. Our findings suggest a complex interplay between FGFR2 and RUNX2 in regulating tumor aggressiveness. This study underscores the significance of RUNX2 in luminal BrCa progression and posits RUNX2 as a promising therapeutic target and as a potential prognostic biomarker in luminal BrCa patients.
{"title":"FGFR2-RUNX2 activation: An unexplored therapeutic pathway in luminal breast cancer related to tumor progression.","authors":"María S Rodriguez, Yamil D Mahmoud, Silvia Vanzulli, Sebastián Giulianelli, Eunice Spengler, Paula Martínez Vazquez, Javier Burruchaga, John Bushweller, Caroline A Lamb, Isabel A Lüthy, Claudia Lanari, Cecilia Pérez Piñero","doi":"10.1002/ijc.35302","DOIUrl":"https://doi.org/10.1002/ijc.35302","url":null,"abstract":"<p><p>Overcoming luminal breast cancer (BrCa) progression remains a critical challenge for improved overall patient survival. RUNX2 has emerged as a protein related to aggressiveness in triple-negative BrCa, however its role in luminal tumors remains elusive. We have previously shown that active FGFR2 (FGFR2-CA) contributes to increased tumor growth and that RUNX2 expression was high in hormone-independent mouse mammary carcinomas. To elucidate the interaction between FGFR2 and RUNX2 in human BrCa, we investigated their roles in tumor progression and treatment responsiveness. Increased FGFR2 activity resulted in higher RUNX2 expression, cell proliferation, and metastasis. In contrast, silencing FGFR2 reduced these parameters. Overexpression of RUNX2 in FGFR2-silenced cells rescued the inhibitory effects, promoting a more aggressive phenotype, even if compared with the wt RUNX2-transfected cells, which also had increased aggressiveness compared with naïve-transfected cells. RUNX2-overexpressing tumors were insensitive to endocrine- or FGFR inhibitor treatments. Notably, the CBFβ-RUNX complex inhibitor, AI-14-91, demonstrated great effectiveness in vitro. In a small cohort of luminal BrCa patients, nuclear RUNX2 expression was associated with tumor recurrence. Transcriptomic analysis strongly supported these data showing that patients with luminal carcinomas with high RUNX2 activity score have a worse progression-free interval than those with low RUNX2 activity. Our findings suggest a complex interplay between FGFR2 and RUNX2 in regulating tumor aggressiveness. This study underscores the significance of RUNX2 in luminal BrCa progression and posits RUNX2 as a promising therapeutic target and as a potential prognostic biomarker in luminal BrCa patients.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Kouvaraki, Ioannis Zerdes, Emmanouil G. Sifakis, Michail Sarafidis, Alexios Matikas, Evangelos Tzoras, Una Kjällquist, Konstantina Stathopoulou, John Lövrot, Amjad Alkodsi, Johan Hartman, Christos Sotiriou, Francois Richard, Thomas Hatschek, Nikolas Herold, Jonas Bergh, George Z. Rassidakis, Theodoros Foukakis
Sterile alpha motif and HD domain-containing protein 1 (SAMHD1) is a dNTP hydrolase important for intracellular dNTP homeostasis and serves as tumor suppressor and modulator of antimetabolite efficacy in cancer, though largely unexplored in breast cancer (BC). A cohort of patients with early BC (n = 564) with available gene expression data (GEP) was used. SAMHD1 protein expression was assessed by immunohistochemistry performed on tissue microarrays. A large pooled transcriptomic dataset was used for validation (n = 2402). GEP data from the metastatic TEX randomized phase III trial (NCT01433614) were used for SAMHD1 predictive evaluation in response to capecitabine. SAMHD1 protein and mRNA levels were higher in HER2-enriched/HER2+ and basal-like (BL)/ER-/HER2- BC. Both SAMHD1 gene and protein expression were independently associated with favorable outcomes in BL tumors. In the pooled dataset, SAMHD1 gene expression was independently associated with favorable disease-free survival in the entire population and within the BL and HER2-enriched molecular subtypes. In metastatic BC, SAMHD1 mRNA levels were higher in responders receiving capecitabine. In conclusion SAMHD1 gene and protein expression represent promising prognostic biomarkers in BL early BC.
{"title":"Prognostic and predictive implications of sterile alpha motif and HD domain-containing protein 1 (SAMHD1) expression in breast cancer","authors":"Maria Kouvaraki, Ioannis Zerdes, Emmanouil G. Sifakis, Michail Sarafidis, Alexios Matikas, Evangelos Tzoras, Una Kjällquist, Konstantina Stathopoulou, John Lövrot, Amjad Alkodsi, Johan Hartman, Christos Sotiriou, Francois Richard, Thomas Hatschek, Nikolas Herold, Jonas Bergh, George Z. Rassidakis, Theodoros Foukakis","doi":"10.1002/ijc.35319","DOIUrl":"10.1002/ijc.35319","url":null,"abstract":"<p>Sterile alpha motif and HD domain-containing protein 1 (SAMHD1) is a dNTP hydrolase important for intracellular dNTP homeostasis and serves as tumor suppressor and modulator of antimetabolite efficacy in cancer, though largely unexplored in breast cancer (BC). A cohort of patients with early BC (<i>n</i> = 564) with available gene expression data (GEP) was used. SAMHD1 protein expression was assessed by immunohistochemistry performed on tissue microarrays. A large pooled transcriptomic dataset was used for validation (<i>n</i> = 2402). GEP data from the metastatic TEX randomized phase III trial (NCT01433614) were used for SAMHD1 predictive evaluation in response to capecitabine. SAMHD1 protein and mRNA levels were higher in HER2-enriched/HER2+ and basal-like (BL)/ER-/HER2- BC. Both <i>SAMHD1</i> gene and protein expression were independently associated with favorable outcomes in BL tumors. In the pooled dataset, SAMHD1 gene expression was independently associated with favorable disease-free survival in the entire population and within the BL and HER2-enriched molecular subtypes. In metastatic BC, <i>SAMHD1</i> mRNA levels were higher in responders receiving capecitabine. In conclusion <i>SAMHD1</i> gene and protein expression represent promising prognostic biomarkers in BL early BC.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":"156 8","pages":"1621-1633"},"PeriodicalIF":5.7,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijc.35319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ting Tao, Shuangai Liu, Min He, Manli Zhao, Chen Chen, Jinkai Peng, Yilong Wang, Jiabin Cai, Jieni Xiong, Can Lai, Weizhong Gu, Meidan Ying, Junqing Mao, Linjie Li, Xuan Jia, Xuan Wu, Wanxin Peng, Xiang Zhang, Yong Li, Tao Li, Jinhu Wang, Qiang Shu
Wilms tumor (WT) is the most common kidney cancer in infants and young children. The determination of the clonality of bilateral WTs is critical to the treatment, because lineage-independent and metastatic tumors may require different treatment strategies. Here we found synchronous bilateral WT (n = 24 tumors from 12 patients) responded differently to preoperative chemotherapy. Transcriptome, whole-exome and whole-genome analysis (n = 12 tumors from 6 patients) demonstrated that each side of bilateral WT was clonally independent in terms of somatic driver mutations, copy number variations and transcriptomic profile. Molecular timing analysis revealed distinct timing and patterns of chromosomal evolution and mutational processes between the two sides of WT. Mutations in WT1, CTNNB1 and copy-neutral loss of heterozygosity of 11p15.5 provide possible genetic predisposition for the early initiation of bilateral WT. Our results provide comprehensive evidence and new insights regarding the separate initiation and early embryonic development of bilateral WT, which may benefit clinical practices in treating metastatic or refractory bilateral WT.
{"title":"Synchronous bilateral Wilms tumors are prone to develop independently and respond differently to preoperative chemotherapy","authors":"Ting Tao, Shuangai Liu, Min He, Manli Zhao, Chen Chen, Jinkai Peng, Yilong Wang, Jiabin Cai, Jieni Xiong, Can Lai, Weizhong Gu, Meidan Ying, Junqing Mao, Linjie Li, Xuan Jia, Xuan Wu, Wanxin Peng, Xiang Zhang, Yong Li, Tao Li, Jinhu Wang, Qiang Shu","doi":"10.1002/ijc.35297","DOIUrl":"10.1002/ijc.35297","url":null,"abstract":"<p>Wilms tumor (WT) is the most common kidney cancer in infants and young children. The determination of the clonality of bilateral WTs is critical to the treatment, because lineage-independent and metastatic tumors may require different treatment strategies. Here we found synchronous bilateral WT (<i>n</i> = 24 tumors from 12 patients) responded differently to preoperative chemotherapy. Transcriptome, whole-exome and whole-genome analysis (<i>n</i> = 12 tumors from 6 patients) demonstrated that each side of bilateral WT was clonally independent in terms of somatic driver mutations, copy number variations and transcriptomic profile. Molecular timing analysis revealed distinct timing and patterns of chromosomal evolution and mutational processes between the two sides of WT. Mutations in <i>WT1</i>, <i>CTNNB1</i> and copy-neutral loss of heterozygosity of 11p15.5 provide possible genetic predisposition for the early initiation of bilateral WT. Our results provide comprehensive evidence and new insights regarding the separate initiation and early embryonic development of bilateral WT, which may benefit clinical practices in treating metastatic or refractory bilateral WT.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":"156 9","pages":"1746-1755"},"PeriodicalIF":5.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer is the second leading cause of death in Turkey, with nearly one in six deaths attributed to the disease. In 2018, Turkey recorded 211,273 new cancer cases. Many cancers are linked to modifiable lifestyle risk factors, such as tobacco use, alcohol consumption, obesity, and inadequate diet and physical activity. Modifying these risk factors could potentially prevent 30%-50% of cancer cases and deaths. This study aims to estimate the population attributable fraction (PAF) of cancer cases and deaths due to various modifiable risk factors in Turkey. Modifiable cancer risk factors were identified as smoking, infections, obesity, physical inactivity, alcohol consumption, inadequate intake of fruits, vegetables, fiber, and calcium. Data on exposure prevalence and cancer incidence were sourced from national surveys and reports. Relative risks (RRs) were obtained from global studies. PAFs were calculated using Levin's equation, accounting for overlaps between risk factors. In 2018, 32% of the cancer cases were attributable to lifestyle risk factors. Smoking was the most significant factor, accounting for 28.4% of cases in men, while high BMI was the leading factor in women, contributing to 11.5% of cases. Lifestyle risk factors were responsible for 41.6% of cancer deaths, with smoking being the leading cause. Lifestyle risk factors contribute significantly to cancer incidence and mortality in Turkey. Prioritizing interventions to reduce tobacco use and obesity could substantially lower the cancer burden. These results are crucial for developing effective cancer prevention strategies and informing public health policies.
{"title":"The fraction of cancer attributable to modifiable risk factors in Turkey in 2018.","authors":"Busra Tozduman, Gul Ergor","doi":"10.1002/ijc.35317","DOIUrl":"https://doi.org/10.1002/ijc.35317","url":null,"abstract":"<p><p>Cancer is the second leading cause of death in Turkey, with nearly one in six deaths attributed to the disease. In 2018, Turkey recorded 211,273 new cancer cases. Many cancers are linked to modifiable lifestyle risk factors, such as tobacco use, alcohol consumption, obesity, and inadequate diet and physical activity. Modifying these risk factors could potentially prevent 30%-50% of cancer cases and deaths. This study aims to estimate the population attributable fraction (PAF) of cancer cases and deaths due to various modifiable risk factors in Turkey. Modifiable cancer risk factors were identified as smoking, infections, obesity, physical inactivity, alcohol consumption, inadequate intake of fruits, vegetables, fiber, and calcium. Data on exposure prevalence and cancer incidence were sourced from national surveys and reports. Relative risks (RRs) were obtained from global studies. PAFs were calculated using Levin's equation, accounting for overlaps between risk factors. In 2018, 32% of the cancer cases were attributable to lifestyle risk factors. Smoking was the most significant factor, accounting for 28.4% of cases in men, while high BMI was the leading factor in women, contributing to 11.5% of cases. Lifestyle risk factors were responsible for 41.6% of cancer deaths, with smoking being the leading cause. Lifestyle risk factors contribute significantly to cancer incidence and mortality in Turkey. Prioritizing interventions to reduce tobacco use and obesity could substantially lower the cancer burden. These results are crucial for developing effective cancer prevention strategies and informing public health policies.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kamil Moskal, Nimisha Khurana, Luisa Siegert, Ye Seul Lee, Hans Clevers, Eran Elinav, Jens Puschhof
The biology of cancer is characterized by an intricate interplay of cells originating not only from the tumor mass, but also its surrounding environment. Different microbial species have been suggested to be enriched in tumors and the impacts of these on tumor phenotypes is subject to intensive investigation. For these efforts, model systems that accurately reflect human-microbe interactions are rapidly gaining importance. Here we present a guide for selecting a suitable in vitro co-culture platform used to model different cancer-microbiome interactions. Our discussion spans a variety of in vitro models, including 2D cultures, tumor spheroids, organoids, and organ-on-a-chip platforms, where we delineate their respective advantages, limitations, and applicability in cancer microbiome research. Particular focus is placed on methodologies that facilitate the exposure of cancer cells to microbes, such as organoid microinjections and co-culture on microfluidic devices. We highlight studies offering critical insights into possible cancer-microbe interactions and underscore the importance of in vitro models in those discoveries. We anticipate the integration of more complex microbial communities and the inclusion of immune cells into co-culture systems to more accurately simulate the tumor microenvironment. The advent of ever more sophisticated co-culture models will aid in unraveling the mechanisms of cancer-microbiome interplay and contribute to exploiting their potential in novel diagnostic and therapeutic strategies.
{"title":"Modeling cancer-microbiome interactions in vitro: A guide to co-culture platforms.","authors":"Kamil Moskal, Nimisha Khurana, Luisa Siegert, Ye Seul Lee, Hans Clevers, Eran Elinav, Jens Puschhof","doi":"10.1002/ijc.35298","DOIUrl":"https://doi.org/10.1002/ijc.35298","url":null,"abstract":"<p><p>The biology of cancer is characterized by an intricate interplay of cells originating not only from the tumor mass, but also its surrounding environment. Different microbial species have been suggested to be enriched in tumors and the impacts of these on tumor phenotypes is subject to intensive investigation. For these efforts, model systems that accurately reflect human-microbe interactions are rapidly gaining importance. Here we present a guide for selecting a suitable in vitro co-culture platform used to model different cancer-microbiome interactions. Our discussion spans a variety of in vitro models, including 2D cultures, tumor spheroids, organoids, and organ-on-a-chip platforms, where we delineate their respective advantages, limitations, and applicability in cancer microbiome research. Particular focus is placed on methodologies that facilitate the exposure of cancer cells to microbes, such as organoid microinjections and co-culture on microfluidic devices. We highlight studies offering critical insights into possible cancer-microbe interactions and underscore the importance of in vitro models in those discoveries. We anticipate the integration of more complex microbial communities and the inclusion of immune cells into co-culture systems to more accurately simulate the tumor microenvironment. The advent of ever more sophisticated co-culture models will aid in unraveling the mechanisms of cancer-microbiome interplay and contribute to exploiting their potential in novel diagnostic and therapeutic strategies.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}