Pub Date : 2025-12-31Epub Date: 2025-12-29DOI: 10.21037/tcr-2025-1721
Siegfried Hélage, Marie-Céline Blanc-Quintin, Nathalie Neveux, Antonin Ginguay, Jean-Pascal De Bandt, Luc Cynober, Jérôme Alexandre, François Goldwasser, Élisabeth Dion
Background: Glutamine, an essential nutrient for healthy cells, supports immunity and cytoprotection during anticancer treatments. However, intense glutaminolysis may promote proliferation and chemoresistance in ovarian carcinomas by activating the PI3K/AKT/mTORC1 pathway and overexpressing c-Myc. This study aimed to characterize glutamine metabolism in ovarian carcinomas and assess its impact on tumor aggressiveness and chemosensitivity, to inform nutritional supplementation or therapeutic targeting.
Methods: Glutamine and glucose consumption, chemosensitivity to cisplatin and paclitaxel, and doubling time were analyzed in three ovarian carcinoma cell lines (ES-2, TOV-21G: clear cell; OVCAR-3: serous papillary) and primary ascites cells under varying glutamine concentrations (0.5, 1, 2, 4 mM). Expression of glutaminase, glutamate dehydrogenase 1 (GDH1), and c-Myc, as well as PI3K/AKT/mTORC1 activation, were assessed by reverse transcription-polymerase chain reaction (RT-PCR) and Western blot.
Results: TOV-21G exhibited significantly higher glutamine consumption (13.3±1.3 vs. 6.5±0.3 and 7±0.5 U/mg protein, P<0.001), increased expression of glutaminase, GDH1, and c-Myc, marked PI3K/AKT/mTORC1 activation (P=0.045), and a shorter doubling time (11.5±1.5 h, P=0.04) compared to ES-2 and OVCAR-3. OVCAR-3 showed significantly greater resistance to cisplatin and paclitaxel (P=0.03). Varying glutamine concentrations did not affect chemosensitivity.
Conclusions: Intense glutaminolysis is associated with increased tumor aggressiveness, suggesting a prognostic role for 18F-(2S,4R)-4-fluoroglutamine (18F-fluoroglutamine) positron emission tomography (PET) imaging. Glutamine supplementation, without impacting chemoresistance, may mitigate iatrogenic effects, while targeting glutaminolysis offers a therapeutic perspective.
背景:谷氨酰胺是健康细胞必需的营养物质,在抗癌治疗中支持免疫和细胞保护。然而,强烈的谷氨酰胺水解可能通过激活PI3K/AKT/mTORC1通路和过表达c-Myc来促进卵巢癌的增殖和化疗耐药。本研究旨在描述谷氨酰胺在卵巢癌中的代谢特征,并评估其对肿瘤侵袭性和化疗敏感性的影响,为营养补充或治疗靶向提供信息。方法:分析不同谷氨酰胺浓度(0.5、1、2、4 mM)对3种卵巢癌细胞系(ES-2、TOV-21G:透明细胞;OVCAR-3:浆液乳头状细胞)和原发腹水细胞谷氨酰胺和葡萄糖消耗、顺铂和紫杉醇化疗敏感性及倍增时间的影响。通过逆转录聚合酶链反应(RT-PCR)和Western blot检测谷氨酰胺酶、谷氨酸脱氢酶1 (GDH1)和c-Myc的表达以及PI3K/AKT/mTORC1的活化。结果:TOV-21G表现出更高的谷氨酰胺消耗(13.3±1.3 vs. 6.5±0.3和7±0.5 U/mg蛋白)。结论:谷氨酰胺溶解与肿瘤侵袭性增加有关,提示18F-(2S,4R)-4-氟谷氨酰胺(18F-氟谷氨酰胺)正电子发射断层扫描(PET)成像具有预后作用。补充谷氨酰胺,不影响化疗耐药,可能减轻医源性效应,而靶向谷氨酰胺解药提供了治疗前景。
{"title":"Glutamine metabolism drives tumor aggressiveness but not chemoresistance in ovarian carcinoma cell lines.","authors":"Siegfried Hélage, Marie-Céline Blanc-Quintin, Nathalie Neveux, Antonin Ginguay, Jean-Pascal De Bandt, Luc Cynober, Jérôme Alexandre, François Goldwasser, Élisabeth Dion","doi":"10.21037/tcr-2025-1721","DOIUrl":"10.21037/tcr-2025-1721","url":null,"abstract":"<p><strong>Background: </strong>Glutamine, an essential nutrient for healthy cells, supports immunity and cytoprotection during anticancer treatments. However, intense glutaminolysis may promote proliferation and chemoresistance in ovarian carcinomas by activating the PI3K/AKT/mTORC1 pathway and overexpressing c-Myc. This study aimed to characterize glutamine metabolism in ovarian carcinomas and assess its impact on tumor aggressiveness and chemosensitivity, to inform nutritional supplementation or therapeutic targeting.</p><p><strong>Methods: </strong>Glutamine and glucose consumption, chemosensitivity to cisplatin and paclitaxel, and doubling time were analyzed in three ovarian carcinoma cell lines (ES-2, TOV-21G: clear cell; OVCAR-3: serous papillary) and primary ascites cells under varying glutamine concentrations (0.5, 1, 2, 4 mM). Expression of glutaminase, glutamate dehydrogenase 1 (GDH1), and c-Myc, as well as PI3K/AKT/mTORC1 activation, were assessed by reverse transcription-polymerase chain reaction (RT-PCR) and Western blot.</p><p><strong>Results: </strong>TOV-21G exhibited significantly higher glutamine consumption (13.3±1.3 <i>vs</i>. 6.5±0.3 and 7±0.5 U/mg protein, P<0.001), increased expression of glutaminase, GDH1, and c-Myc, marked PI3K/AKT/mTORC1 activation (P=0.045), and a shorter doubling time (11.5±1.5 h, P=0.04) compared to ES-2 and OVCAR-3. OVCAR-3 showed significantly greater resistance to cisplatin and paclitaxel (P=0.03). Varying glutamine concentrations did not affect chemosensitivity.</p><p><strong>Conclusions: </strong>Intense glutaminolysis is associated with increased tumor aggressiveness, suggesting a prognostic role for <sup>18</sup>F-(2S,4R)-4-fluoroglutamine (<sup>18</sup>F-fluoroglutamine) positron emission tomography (PET) imaging. Glutamine supplementation, without impacting chemoresistance, may mitigate iatrogenic effects, while targeting glutaminolysis offers a therapeutic perspective.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8448-8461"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776192/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145934982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><strong>Background: </strong>Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignant tumor globally. Histopathological grading classifies HNSCC into well-differentiated and poorly differentiated types. Poorly differentiated tumors tend to exhibit greater aggressiveness, with higher risks of invasion, metastasis, and mortality. However, current methods for assessing differentiation lack reliable molecular markers for objective diagnosis. Furthermore, the differences in immune microenvironment between well-differentiated and poorly differentiated tumors are not fully understood. In this study, we integrate machine learning and single-cell transcriptomic analysis to identify molecular markers closely associated with differentiation and explore the immune microenvironment differences across various differentiation states.</p><p><strong>Methods: </strong>We obtained transcriptomic data, including pathological differentiation and survival annotations, from The Cancer Genome Atlas-Head and Neck Squamous Cell Carcinoma (TCGA-HNSC) dataset. Weighted gene co-expression network analysis (WGCNA) was employed to identify gene modules associated with tumor differentiation. Pseudotime trajectory analysis was performed using the Monocle tool on single-cell RNA sequencing data from the Gene Expression Omnibus (GEO) database. Branch Expression Analysis Modeling (BEAM) analysis was subsequently conducted to pinpoint gene changes at differentiation branch points. The integration of these analyses led to the identification of differentiation-related genes and the development of a differentiation prediction model. Finally, key differentiation-related genes and immune microenvironment differences were validated through western blot, quantitative polymerase chain reaction, immunohistochemistry, spheroid formation assays, and multiplex immunofluorescence.</p><p><strong>Results: </strong>This study identified cellular retinoic acid-binding protein 2 (CRABP2) as a key gene associated with well-differentiated HNSCC. We found that low expression of CRABP2 may facilitate the formation of poorly differentiated HNSCC and contribute to the development of an immune-suppressive microenvironment. Tumor immune microenvironment remodeling was characterized by increased infiltration of regulatory T cells (Tregs) and reduced neutrophil infiltration, which may be linked to the invasiveness and poorer prognosis of poorly differentiated tumors.</p><p><strong>Conclusions: </strong>Our findings highlight significant molecular differences between well-differentiated and poorly differentiated HNSCC, with low CRABP2 expression identified as a critical driver of poorly differentiated HNSCC and a central factor in the immune-suppressive tumor microenvironment. For the first time, we report that poorly differentiated HNSCC are associated with an immune-suppressive microenvironment, characterized by increased Treg infiltration and decreased neutrophil infiltration, whic
背景:头颈部鳞状细胞癌(HNSCC)是全球第六大常见恶性肿瘤。组织病理学分级将HNSCC分为高分化型和低分化型。低分化肿瘤往往表现出更大的侵袭性,具有更高的侵袭、转移和死亡风险。然而,目前评估分化的方法缺乏可靠的分子标记来进行客观诊断。此外,高分化和低分化肿瘤之间的免疫微环境差异尚不完全清楚。在本研究中,我们将机器学习和单细胞转录组学分析相结合,识别与分化密切相关的分子标记,探索不同分化状态下免疫微环境的差异。方法:我们从癌症基因组图谱-头颈部鳞状细胞癌(TCGA-HNSC)数据集中获得转录组数据,包括病理分化和生存注释。采用加权基因共表达网络分析(WGCNA)鉴定与肿瘤分化相关的基因模块。使用Monocle工具对来自Gene Expression Omnibus (GEO)数据库的单细胞RNA测序数据进行伪时间轨迹分析。随后进行分支表达分析模型(BEAM)分析,以确定分化分支点的基因变化。这些分析的整合导致分化相关基因的鉴定和分化预测模型的发展。最后,通过western blot、定量聚合酶链反应、免疫组织化学、球体形成试验和多重免疫荧光验证关键分化相关基因和免疫微环境差异。结果:本研究发现细胞维甲酸结合蛋白2 (CRABP2)是与高分化HNSCC相关的关键基因。我们发现,低表达的CRABP2可能促进低分化HNSCC的形成,并有助于免疫抑制微环境的发展。肿瘤免疫微环境重塑的特征是调节性T细胞(Tregs)浸润增加和中性粒细胞浸润减少,这可能与低分化肿瘤的侵袭性和较差的预后有关。结论:我们的研究结果突出了高分化和低分化HNSCC之间的显著分子差异,低表达的CRABP2被认为是低分化HNSCC的关键驱动因素,也是免疫抑制肿瘤微环境的核心因素。我们首次报道了低分化HNSCC与免疫抑制微环境相关,其特征是Treg浸润增加和中性粒细胞浸润减少,这可能导致其预后较差。本研究发现了与HNSCC分化相关的新标记基因,并为肿瘤分化驱动机制提供了新的见解。这些结果为开发针对分化途径和免疫调节的个性化治疗策略铺平了道路,旨在改善HNSCC患者的治疗效果。
{"title":"Identification of differentiation markers and immune microenvironment in head and neck squamous cell carcinoma using machine learning combined with single-cell analysis.","authors":"Zishanbai Zhang, Yue Li, Miao Wang, Yixin Jing, Honglian Hu, Menglin Shi, Yiming Ding, Xiaohong Chen","doi":"10.21037/tcr-2025-1723","DOIUrl":"10.21037/tcr-2025-1723","url":null,"abstract":"<p><strong>Background: </strong>Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignant tumor globally. Histopathological grading classifies HNSCC into well-differentiated and poorly differentiated types. Poorly differentiated tumors tend to exhibit greater aggressiveness, with higher risks of invasion, metastasis, and mortality. However, current methods for assessing differentiation lack reliable molecular markers for objective diagnosis. Furthermore, the differences in immune microenvironment between well-differentiated and poorly differentiated tumors are not fully understood. In this study, we integrate machine learning and single-cell transcriptomic analysis to identify molecular markers closely associated with differentiation and explore the immune microenvironment differences across various differentiation states.</p><p><strong>Methods: </strong>We obtained transcriptomic data, including pathological differentiation and survival annotations, from The Cancer Genome Atlas-Head and Neck Squamous Cell Carcinoma (TCGA-HNSC) dataset. Weighted gene co-expression network analysis (WGCNA) was employed to identify gene modules associated with tumor differentiation. Pseudotime trajectory analysis was performed using the Monocle tool on single-cell RNA sequencing data from the Gene Expression Omnibus (GEO) database. Branch Expression Analysis Modeling (BEAM) analysis was subsequently conducted to pinpoint gene changes at differentiation branch points. The integration of these analyses led to the identification of differentiation-related genes and the development of a differentiation prediction model. Finally, key differentiation-related genes and immune microenvironment differences were validated through western blot, quantitative polymerase chain reaction, immunohistochemistry, spheroid formation assays, and multiplex immunofluorescence.</p><p><strong>Results: </strong>This study identified cellular retinoic acid-binding protein 2 (CRABP2) as a key gene associated with well-differentiated HNSCC. We found that low expression of CRABP2 may facilitate the formation of poorly differentiated HNSCC and contribute to the development of an immune-suppressive microenvironment. Tumor immune microenvironment remodeling was characterized by increased infiltration of regulatory T cells (Tregs) and reduced neutrophil infiltration, which may be linked to the invasiveness and poorer prognosis of poorly differentiated tumors.</p><p><strong>Conclusions: </strong>Our findings highlight significant molecular differences between well-differentiated and poorly differentiated HNSCC, with low CRABP2 expression identified as a critical driver of poorly differentiated HNSCC and a central factor in the immune-suppressive tumor microenvironment. For the first time, we report that poorly differentiated HNSCC are associated with an immune-suppressive microenvironment, characterized by increased Treg infiltration and decreased neutrophil infiltration, whic","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8579-8599"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776199/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145934994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31Epub Date: 2025-12-23DOI: 10.21037/tcr-2025-1190
Jingjing Chen, Jianjie Ju, Jingting Wang, Limei Yang
<p><strong>Background: </strong>Pancreatic ductal adenocarcinoma (PDAC) exhibits aggressive progression, dense stromal remodeling, and resistance to chemotherapy, resulting in extremely poor survival. Although bevacizumab-mediated vascular endothelial growth factor (VEGF) inhibition can suppress angiogenesis, clinical efficacy is limited by compensatory activation of alternative signaling pathways. Meanwhile, PDAC-associated hypercoagulability supports tumor progression, and warfarin has been reported to exert anti-tumor effects partly through inhibition of the growth arrest-specific protein 6 (Gas6)/Axl-phosphoinositide 3-kinase (PI3K)-protein kinase B (Akt) axis. Given that epidermal growth factor receptor (EGFR) also converges on the PI3K-Akt pathway, combining warfarin with bevacizumab may enhance therapeutic efficacy by co-targeting angiogenic and oncogenic signaling. This study aimed to evaluate the synergistic effects of warfarin and bevacizumab in PDAC and to elucidate the underlying molecular mechanisms.</p><p><strong>Methods: </strong>An integrated approach combining network pharmacology, molecular docking, and in vitro assays was used. Bioinformatics tools identified key targets and pathways, with docking simulations assessing warfarin-target binding. Functional assays, including the Cell Counting Kit-8 (CCK-8), wound healing, flow cytometry, quantitative real-time polymerase chain reaction (qRT-PCR), and Western blot, evaluated cell proliferation, migration, apoptosis, and gene/protein expression related to EGFR-PI3K-Akt pathway.</p><p><strong>Results: </strong>Integrated bioinformatics identified 70 overlapping targets between warfarin and pancreatic cancer, with EGFR, PI3K isoforms, and AKT1 as core hubs in the protein-protein interaction (PPI) network. Molecular docking demonstrated strong warfarin binding to EGFR, PI3K catalytic isoforms, and AKT1 (ΔG <-7.0 kcal/mol), while exhibiting moderate interaction with the PI3K regulatory subunit phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1, -6.1 kcal/mol). In vitro validation showed that 0.8 mmol/L warfarin combined with 500 mg/L bevacizumab exhibited optimal anti-proliferative synergy (24-h Bliss score: 0.335; 48-h inhibition: 50.5%), while reducing wound closure versus blank (P<0.001). The combination elevated apoptosis to 10.11% (P<0.001 <i>vs</i>. 1.19% blank) with B-cell lymphoma 2 (Bcl-2) suppression (0.41-fold), Bcl-2-associated X protein (Bax, 1.12-fold) and cysteine-aspartic acid protease-3 (caspase-3, 0.93-fold) upregulation. Combination therapy synergistically downregulated EGFR (0.41- <i>vs</i>. 0.74-fold warfarin, P<0.001) and PI3K (0.32- <i>vs</i>. 0.57-fold, P<0.001) at messenger RNA (mRNA)/protein levels, while AKT1 protein remained unchanged (P>0.05).</p><p><strong>Conclusions: </strong>The warfarin-bevacizumab combination synergistically impaired PDAC progression via multi-tiered EGFR-PI3K-Akt suppression and mitochondrial apoptosis activation, providing a rati
{"title":"Warfarin and bevacizumab suppress tumor progression in pancreatic ductal adenocarcinoma by targeting EGFR-PI3K-Akt signaling: inhibition of proliferation/migration and apoptosis induction.","authors":"Jingjing Chen, Jianjie Ju, Jingting Wang, Limei Yang","doi":"10.21037/tcr-2025-1190","DOIUrl":"10.21037/tcr-2025-1190","url":null,"abstract":"<p><strong>Background: </strong>Pancreatic ductal adenocarcinoma (PDAC) exhibits aggressive progression, dense stromal remodeling, and resistance to chemotherapy, resulting in extremely poor survival. Although bevacizumab-mediated vascular endothelial growth factor (VEGF) inhibition can suppress angiogenesis, clinical efficacy is limited by compensatory activation of alternative signaling pathways. Meanwhile, PDAC-associated hypercoagulability supports tumor progression, and warfarin has been reported to exert anti-tumor effects partly through inhibition of the growth arrest-specific protein 6 (Gas6)/Axl-phosphoinositide 3-kinase (PI3K)-protein kinase B (Akt) axis. Given that epidermal growth factor receptor (EGFR) also converges on the PI3K-Akt pathway, combining warfarin with bevacizumab may enhance therapeutic efficacy by co-targeting angiogenic and oncogenic signaling. This study aimed to evaluate the synergistic effects of warfarin and bevacizumab in PDAC and to elucidate the underlying molecular mechanisms.</p><p><strong>Methods: </strong>An integrated approach combining network pharmacology, molecular docking, and in vitro assays was used. Bioinformatics tools identified key targets and pathways, with docking simulations assessing warfarin-target binding. Functional assays, including the Cell Counting Kit-8 (CCK-8), wound healing, flow cytometry, quantitative real-time polymerase chain reaction (qRT-PCR), and Western blot, evaluated cell proliferation, migration, apoptosis, and gene/protein expression related to EGFR-PI3K-Akt pathway.</p><p><strong>Results: </strong>Integrated bioinformatics identified 70 overlapping targets between warfarin and pancreatic cancer, with EGFR, PI3K isoforms, and AKT1 as core hubs in the protein-protein interaction (PPI) network. Molecular docking demonstrated strong warfarin binding to EGFR, PI3K catalytic isoforms, and AKT1 (ΔG <-7.0 kcal/mol), while exhibiting moderate interaction with the PI3K regulatory subunit phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1, -6.1 kcal/mol). In vitro validation showed that 0.8 mmol/L warfarin combined with 500 mg/L bevacizumab exhibited optimal anti-proliferative synergy (24-h Bliss score: 0.335; 48-h inhibition: 50.5%), while reducing wound closure versus blank (P<0.001). The combination elevated apoptosis to 10.11% (P<0.001 <i>vs</i>. 1.19% blank) with B-cell lymphoma 2 (Bcl-2) suppression (0.41-fold), Bcl-2-associated X protein (Bax, 1.12-fold) and cysteine-aspartic acid protease-3 (caspase-3, 0.93-fold) upregulation. Combination therapy synergistically downregulated EGFR (0.41- <i>vs</i>. 0.74-fold warfarin, P<0.001) and PI3K (0.32- <i>vs</i>. 0.57-fold, P<0.001) at messenger RNA (mRNA)/protein levels, while AKT1 protein remained unchanged (P>0.05).</p><p><strong>Conclusions: </strong>The warfarin-bevacizumab combination synergistically impaired PDAC progression via multi-tiered EGFR-PI3K-Akt suppression and mitochondrial apoptosis activation, providing a rati","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8616-8631"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776193/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31Epub Date: 2025-12-29DOI: 10.21037/tcr-2025-1007
Amanda Herrmann, Christopher Grant, Lyudmila Bazhenova
Background and objective: MET alterations have been identified as both primary oncogenic drivers and drivers of acquired resistance in non-small cell lung cancer (NSCLC). There are several mechanisms by which the MET axis can become altered, and an evolving understanding of these pathways provides insight into unique therapeutic targets. Despite considerable research and numerous strategies under investigation, challenges remain, and approved therapies are limited. The purpose of this review is to provide an updated summary of the current evidence, key challenges, and future directions for the diagnosis, classification, and management of advanced and metastatic NSCLC harboring MET alterations.
Methods: A broad literature review was conducted using key terms related to MET-alterations and targeted therapy in advanced and metastatic NSCLC. While no definitive inclusion or exclusion criteria were applied, articles were selected based on their relevance and rigor, with an emphasis on primary and secondary literature published within the last 10 years.
Key content and findings: We review here the pathophysiology and epidemiology of MET alterations that have been identified in NSCLC, including MET exon 14 skipping mutation (METex14), MET amplification (MET AMP), MET overexpression (MET OE), and MET fusion (MET FUS). We review data supporting established treatment strategies as well as areas of active investigation, with a focus on MET tyrosine kinase inhibitors (TKIs), anti-MET and anti-hepatocyte growth factor (HGF) antibodies, bispecific antibodies (B-Abs), antibody-drug conjugates (ADCs), and immunotherapy (IO). We identify key challenges to progress in this space, including standardization of biomarker-driven patient selection, identification of novel therapeutic mechanisms, and management of emerging treatment resistance. Finally, we discuss future directions and areas of promising development, including multi-omics diagnostic approaches, ADCs, and B-Abs.
Conclusions: MET-altered NSCLC is a challenging and heterogeneous molecular subset, and our knowledge is rapidly evolving. Work is ongoing to define the spectrum of actionable mutations, to develop standardized and clinically meaningful biomarker-driven identification of these alterations, and to determine the most effective treatment approaches, with the goal of expanding the treatment landscape and improving outcomes for a subset of patients with limited treatment options.
{"title":"Targeting MET in advanced and metastatic non-small cell lung cancer: a literature review of the current landscape.","authors":"Amanda Herrmann, Christopher Grant, Lyudmila Bazhenova","doi":"10.21037/tcr-2025-1007","DOIUrl":"10.21037/tcr-2025-1007","url":null,"abstract":"<p><strong>Background and objective: </strong>MET alterations have been identified as both primary oncogenic drivers and drivers of acquired resistance in non-small cell lung cancer (NSCLC). There are several mechanisms by which the MET axis can become altered, and an evolving understanding of these pathways provides insight into unique therapeutic targets. Despite considerable research and numerous strategies under investigation, challenges remain, and approved therapies are limited. The purpose of this review is to provide an updated summary of the current evidence, key challenges, and future directions for the diagnosis, classification, and management of advanced and metastatic NSCLC harboring MET alterations.</p><p><strong>Methods: </strong>A broad literature review was conducted using key terms related to MET-alterations and targeted therapy in advanced and metastatic NSCLC. While no definitive inclusion or exclusion criteria were applied, articles were selected based on their relevance and rigor, with an emphasis on primary and secondary literature published within the last 10 years.</p><p><strong>Key content and findings: </strong>We review here the pathophysiology and epidemiology of MET alterations that have been identified in NSCLC, including MET exon 14 skipping mutation (METex14), MET amplification (MET AMP), MET overexpression (MET OE), and MET fusion (MET FUS). We review data supporting established treatment strategies as well as areas of active investigation, with a focus on MET tyrosine kinase inhibitors (TKIs), anti-MET and anti-hepatocyte growth factor (HGF) antibodies, bispecific antibodies (B-Abs), antibody-drug conjugates (ADCs), and immunotherapy (IO). We identify key challenges to progress in this space, including standardization of biomarker-driven patient selection, identification of novel therapeutic mechanisms, and management of emerging treatment resistance. Finally, we discuss future directions and areas of promising development, including multi-omics diagnostic approaches, ADCs, and B-Abs.</p><p><strong>Conclusions: </strong>MET-altered NSCLC is a challenging and heterogeneous molecular subset, and our knowledge is rapidly evolving. Work is ongoing to define the spectrum of actionable mutations, to develop standardized and clinically meaningful biomarker-driven identification of these alterations, and to determine the most effective treatment approaches, with the goal of expanding the treatment landscape and improving outcomes for a subset of patients with limited treatment options.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"9027-9052"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31Epub Date: 2025-12-29DOI: 10.21037/tcr-2025-1349
Hong Mei Wang, Yue Hui Zhou, Gu Bin Lin, Bi Lian Zheng, Kun Zhang, Xiu Rong Chi, Yi Peng, Xiao Xi Huang, Hua Le Zhang
Background: In the case of lymph node metastasis, small-tumor breast cancer patients show distinct survival rates. Current studies have not conducted in-depth analyses of small-tumor patients with different immune subtypes and different lymph node metastases. This study aimed to examine the survival outcomes and chemotherapy efficacy of patients with different immune subtypes.
Methods: Retrospective clinical data of small-tumor breast cancer patients were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. A multivariate Cox proportional hazards model was used to analyze prognostic factors. Survival analysis was stratified based on stage T, stage N and immune subtypes.
Results: Patients with T1cN2+ stage had the highest risk of death. However, in T1N1 stage cancers, compared with patients of other subtypes in T1mi/a-bN1 stage, the overall survival (OS) and breast cancer-specific survival (BCSS) of patients with T1mi/a-bN1 hormone receptor negative human epidermal growth factor receptor 2 positive (HR-HER2+) were significantly worse. HR+HER2- subtype patients showed a similar trend. Additionally, postoperative adjuvant chemotherapy (AC) was a favorable prognostic factor for OS in small-tumor breast cancer patients [hazard ratio (HR) =0.78, P<0.001] but had no significant effect on BCSS (HR =1.1, P=0.11). In the pT1mi/a-bN0-1 HR+HER2- subtype and pT1mi/a-bN0 HR-HER2-/HR+HER2+ subtype patients, AC did not significantly improve survival (P>0.05).
Conclusions: In addition to T1cN2+ stage or HR-HER2- subtype, this study identified T1mi/a-bN1 HR-HER2+ subgroup as a high-risk type in small-tumor breast cancer. And small-tumor breast cancer patients do not usually benefit from AC. AC may not be recommended for certain subgroups, such as patients with pT1mi/a-bN0-1 HR+HER2- or pT1mi/a-bN0 HR-HER2-/HR+HER2+ can be exempted from chemotherapy.
{"title":"Prognosis and chemotherapy efficacy in small-tumor breast cancer with different immune subtypes: a SEER-based study.","authors":"Hong Mei Wang, Yue Hui Zhou, Gu Bin Lin, Bi Lian Zheng, Kun Zhang, Xiu Rong Chi, Yi Peng, Xiao Xi Huang, Hua Le Zhang","doi":"10.21037/tcr-2025-1349","DOIUrl":"10.21037/tcr-2025-1349","url":null,"abstract":"<p><strong>Background: </strong>In the case of lymph node metastasis, small-tumor breast cancer patients show distinct survival rates. Current studies have not conducted in-depth analyses of small-tumor patients with different immune subtypes and different lymph node metastases. This study aimed to examine the survival outcomes and chemotherapy efficacy of patients with different immune subtypes.</p><p><strong>Methods: </strong>Retrospective clinical data of small-tumor breast cancer patients were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. A multivariate Cox proportional hazards model was used to analyze prognostic factors. Survival analysis was stratified based on stage T, stage N and immune subtypes.</p><p><strong>Results: </strong>Patients with T1cN2+ stage had the highest risk of death. However, in T1N1 stage cancers, compared with patients of other subtypes in T1mi/a-bN1 stage, the overall survival (OS) and breast cancer-specific survival (BCSS) of patients with T1mi/a-bN1 hormone receptor negative human epidermal growth factor receptor 2 positive (HR-HER2+) were significantly worse. HR+HER2- subtype patients showed a similar trend. Additionally, postoperative adjuvant chemotherapy (AC) was a favorable prognostic factor for OS in small-tumor breast cancer patients [hazard ratio (HR) =0.78, P<0.001] but had no significant effect on BCSS (HR =1.1, P=0.11). In the pT1mi/a-bN0-1 HR+HER2- subtype and pT1mi/a-bN0 HR-HER2-/HR+HER2+ subtype patients, AC did not significantly improve survival (P>0.05).</p><p><strong>Conclusions: </strong>In addition to T1cN2+ stage or HR-HER2- subtype, this study identified T1mi/a-bN1 HR-HER2+ subgroup as a high-risk type in small-tumor breast cancer. And small-tumor breast cancer patients do not usually benefit from AC. AC may not be recommended for certain subgroups, such as patients with pT1mi/a-bN0-1 HR+HER2- or pT1mi/a-bN0 HR-HER2-/HR+HER2+ can be exempted from chemotherapy.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8667-8687"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776230/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31Epub Date: 2025-12-24DOI: 10.21037/tcr-2025-1211
Libo Zhang, Xianghong Xu, Yan Wang, Jiarui Zhang, Hui Cai, Tao Qu
<p><strong>Background: </strong>Gastric cancer (GC) is a common gastrointestinal malignancy worldwide, and patients at advanced stages have a poor prognosis due to delayed diagnosis and limited treatment options. The tumor microenvironment (TME), a critical player in the initiation, progression, and treatment resistance of GC, has garnered significantly increased research focus in recent years. However, there is currently a lack of bibliometric analysis on TME research in GC, making it challenging to pinpoint research hotspots and development trends in this field. Therefore, this study aims to conduct a bibliometric analysis of research conducted over the past two decades to identify research hotspots and emerging trends.</p><p><strong>Methods: </strong>A comprehensive search of the Web of Science Core Collection (WOSCC) retrieved publications on GC TME from 2005 to 2024. Following screening that excluded non-English publications, articles outside the specified timeframe, and non-research articles, 1,486 English publications were ultimately included. Visualization analysis was conducted using CiteSpace, VOSviewer, and Excel, encompassing annual publication volume, collaborative networks among countries/institutions/authors, journal co-citation analysis, keyword co-occurrence and clustering, to reveal research distribution patterns, hotspots, and emerging trends.</p><p><strong>Results: </strong>Publications on this topic demonstrated a consistent annual increase from 2005 to 2024, reaching a peak annual output of 305 articles in 2024, indicating sustained growth in research activity. China accounted for the highest volume of publications (n=1,098), significantly outnumbering the United States (n=155) and Japan (n=111). The United States (20 collaborating countries/regions) and China (17 collaborating countries/regions) emerged as central nodes in the international collaboration network. Chinese institutions dominated the research output, with Nanjing Medical University (75 publications) and Fudan University (68 publications) ranking highest in productivity. Notably, Nanjing Medical University demonstrated the most extensive collaborative network, partnering with 31 institutions. Xu Zhang emerged as the leading contributor with the highest publication output (20 articles) and most citations (1,453 citations), establishing him as a pivotal figure in this research domain.</p><p><strong>Conclusions: </strong>The GC TME research landscape from 2005 to 2024 featured three prominent immunotherapy frontiers: chimeric antigen receptor-engineered T lymphocytes (CAR-T) cell technology, immune checkpoint blockade therapy, and key components of TME. Simultaneously, epigenetic regulation (m6A methylation), computational oncology (machine learning applications), and metastatic microenvironments (liver metastasis patterns) emerged as pivotal research directions. These findings establish a comprehensive framework for GC TME research, delineate current priorities,
{"title":"Research hotspots and frontiers in the tumor microenvironment of gastric cancer: a bibliometric review from 2005 to 2024.","authors":"Libo Zhang, Xianghong Xu, Yan Wang, Jiarui Zhang, Hui Cai, Tao Qu","doi":"10.21037/tcr-2025-1211","DOIUrl":"10.21037/tcr-2025-1211","url":null,"abstract":"<p><strong>Background: </strong>Gastric cancer (GC) is a common gastrointestinal malignancy worldwide, and patients at advanced stages have a poor prognosis due to delayed diagnosis and limited treatment options. The tumor microenvironment (TME), a critical player in the initiation, progression, and treatment resistance of GC, has garnered significantly increased research focus in recent years. However, there is currently a lack of bibliometric analysis on TME research in GC, making it challenging to pinpoint research hotspots and development trends in this field. Therefore, this study aims to conduct a bibliometric analysis of research conducted over the past two decades to identify research hotspots and emerging trends.</p><p><strong>Methods: </strong>A comprehensive search of the Web of Science Core Collection (WOSCC) retrieved publications on GC TME from 2005 to 2024. Following screening that excluded non-English publications, articles outside the specified timeframe, and non-research articles, 1,486 English publications were ultimately included. Visualization analysis was conducted using CiteSpace, VOSviewer, and Excel, encompassing annual publication volume, collaborative networks among countries/institutions/authors, journal co-citation analysis, keyword co-occurrence and clustering, to reveal research distribution patterns, hotspots, and emerging trends.</p><p><strong>Results: </strong>Publications on this topic demonstrated a consistent annual increase from 2005 to 2024, reaching a peak annual output of 305 articles in 2024, indicating sustained growth in research activity. China accounted for the highest volume of publications (n=1,098), significantly outnumbering the United States (n=155) and Japan (n=111). The United States (20 collaborating countries/regions) and China (17 collaborating countries/regions) emerged as central nodes in the international collaboration network. Chinese institutions dominated the research output, with Nanjing Medical University (75 publications) and Fudan University (68 publications) ranking highest in productivity. Notably, Nanjing Medical University demonstrated the most extensive collaborative network, partnering with 31 institutions. Xu Zhang emerged as the leading contributor with the highest publication output (20 articles) and most citations (1,453 citations), establishing him as a pivotal figure in this research domain.</p><p><strong>Conclusions: </strong>The GC TME research landscape from 2005 to 2024 featured three prominent immunotherapy frontiers: chimeric antigen receptor-engineered T lymphocytes (CAR-T) cell technology, immune checkpoint blockade therapy, and key components of TME. Simultaneously, epigenetic regulation (m6A methylation), computational oncology (machine learning applications), and metastatic microenvironments (liver metastasis patterns) emerged as pivotal research directions. These findings establish a comprehensive framework for GC TME research, delineate current priorities, ","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8329-8346"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776242/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Gastric cancer (GC) is the fifth most commonly diagnosed cancer worldwide and ranks as the third leading cause of cancer-related deaths. In the tumor microenvironment (TME), malignant cells undergo hypoxic adaptation via metabolic reprogramming, which promotes cellular proliferation and lactate accumulation. However, the significance of hypoxia- and lactylation-related genes (HALRGs) in GC remains unclear. This study aimed to investigate the impact of hypoxia and lactylation on GC and to construct relevant prognostic models.
Methods: We downloaded single-cell RNA sequencing (scRNA-seq), spatial transcriptome (ST) data, and clinical data. The least absolute shrinkage and selection operator (LASSO) algorithm was used to develop a prognostic model, which was validated in an external cohort. Immune cell infiltration was analyzed using the CIBERSORT algorithm, while the Tumor Immune Dysfunction and Exclusion (TIDE) score and ESTIMATE method were combined to evaluate the prognostic potential of immunotherapy response.
Results: We analyzed 23,447 genes and 104,150 cells from scRNA-seq, classifying the cells into seven distinct types. The spatial distribution characteristics of these cell types were further examined using ST data. Inference of copy number variations (InferCNV) analysis was performed on epithelial cells to differentiate between malignant and normal cells, revealing that normal epithelial cells could be further categorized into five subtypes. We then developed a prognostic model based on HALRGs using The Cancer Genome Atlas (TCGA) data, which was validated in the Gene Expression Omnibus (GEO) dataset. Patients were divided into high- and low-risk groups according to HALRG scores. Interestingly, the high-risk group exhibited higher TIDE scores, suggesting a poorer response to immunotherapy.
Conclusions: This study uncovered the cellular heterogeneity of GC by integrating scRNA-seq and ST data. The results demonstrated that the HALRG risk model may be effective in predicting the clinical prognosis and has the potential to guide personalized treatment in GC.
{"title":"Comprehensive analysis of gene signature linking hypoxia and lactylation for predicting prognosis and immunotherapy response in patients with gastric cancer.","authors":"Ping Liu, Xiaohong Wang, Ruiheng Xie, Rui Luo, Yizhou Wang, Ping Wang, Ruiyu Wang, Xian Zhou, Xiaowei Tang","doi":"10.21037/tcr-2025-1453","DOIUrl":"10.21037/tcr-2025-1453","url":null,"abstract":"<p><strong>Background: </strong>Gastric cancer (GC) is the fifth most commonly diagnosed cancer worldwide and ranks as the third leading cause of cancer-related deaths. In the tumor microenvironment (TME), malignant cells undergo hypoxic adaptation via metabolic reprogramming, which promotes cellular proliferation and lactate accumulation. However, the significance of hypoxia- and lactylation-related genes (HALRGs) in GC remains unclear. This study aimed to investigate the impact of hypoxia and lactylation on GC and to construct relevant prognostic models.</p><p><strong>Methods: </strong>We downloaded single-cell RNA sequencing (scRNA-seq), spatial transcriptome (ST) data, and clinical data. The least absolute shrinkage and selection operator (LASSO) algorithm was used to develop a prognostic model, which was validated in an external cohort. Immune cell infiltration was analyzed using the CIBERSORT algorithm, while the Tumor Immune Dysfunction and Exclusion (TIDE) score and ESTIMATE method were combined to evaluate the prognostic potential of immunotherapy response.</p><p><strong>Results: </strong>We analyzed 23,447 genes and 104,150 cells from scRNA-seq, classifying the cells into seven distinct types. The spatial distribution characteristics of these cell types were further examined using ST data. Inference of copy number variations (InferCNV) analysis was performed on epithelial cells to differentiate between malignant and normal cells, revealing that normal epithelial cells could be further categorized into five subtypes. We then developed a prognostic model based on HALRGs using The Cancer Genome Atlas (TCGA) data, which was validated in the Gene Expression Omnibus (GEO) dataset. Patients were divided into high- and low-risk groups according to HALRG scores. Interestingly, the high-risk group exhibited higher TIDE scores, suggesting a poorer response to immunotherapy.</p><p><strong>Conclusions: </strong>This study uncovered the cellular heterogeneity of GC by integrating scRNA-seq and ST data. The results demonstrated that the HALRG risk model may be effective in predicting the clinical prognosis and has the potential to guide personalized treatment in GC.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8825-8839"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Duodenal adenocarcinoma (DAC), the most common subtype of small bowel adenocarcinoma, is rare. As a result, the survival benefit of adjuvant chemotherapy (AC) for patients with DAC following surgical resection remains controversial and poorly defined. This study aimed to evaluate the association between AC and survival and to identify patient subgroups that derive the greatest benefit.
Methods: A retrospective analysis was conducted using data from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2021). Patients with DAC who underwent surgical resection were included and divided into AC and no-AC groups. Overall survival (OS) and cancer-specific survival (CSS) were compared. Propensity score matching (PSM) was employed as a sensitivity analysis to minimize confounding. Subgroup interaction analyses were performed to identify differential treatment effects.
Results: Of 3,296 patients, 704 (21.4%) received AC. In the analysis of the entire cohort, AC was independently associated with improved OS [hazard ratio (HR) =0.63, 95% confidence interval (CI): 0.53-0.74, P<0.001] and CSS (HR =0.67, 95% CI: 0.55-0.82, P<0.001). This benefit was robustly confirmed in the PSM-matched cohort of 878 patients. Subgroup analyses revealed significant interactions, indicating that the survival benefit was most pronounced in patients aged ≥65 years and those with lymph node metastasis (N1/N2) or advanced T-stage (T3/T4).
Conclusions: This large, population-based study provides robust evidence that AC is associated with significantly improved survival after surgery for DAC, particularly in older patients and those with lymph node-positive or locally advanced disease. These findings support the use of AC to enhance survival outcomes in specific DAC patient groups.
{"title":"Survival benefit of adjuvant chemotherapy for duodenal adenocarcinoma: a retrospective cohort study and propensity score-matched analysis.","authors":"Yuting Luo, Yijun Fan, Chengxi Fan, Zhengqiang Chen, Yaotian Fan, Zhen You, Xiwen Ye","doi":"10.21037/tcr-2025-1155","DOIUrl":"10.21037/tcr-2025-1155","url":null,"abstract":"<p><strong>Background: </strong>Duodenal adenocarcinoma (DAC), the most common subtype of small bowel adenocarcinoma, is rare. As a result, the survival benefit of adjuvant chemotherapy (AC) for patients with DAC following surgical resection remains controversial and poorly defined. This study aimed to evaluate the association between AC and survival and to identify patient subgroups that derive the greatest benefit.</p><p><strong>Methods: </strong>A retrospective analysis was conducted using data from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2021). Patients with DAC who underwent surgical resection were included and divided into AC and no-AC groups. Overall survival (OS) and cancer-specific survival (CSS) were compared. Propensity score matching (PSM) was employed as a sensitivity analysis to minimize confounding. Subgroup interaction analyses were performed to identify differential treatment effects.</p><p><strong>Results: </strong>Of 3,296 patients, 704 (21.4%) received AC. In the analysis of the entire cohort, AC was independently associated with improved OS [hazard ratio (HR) =0.63, 95% confidence interval (CI): 0.53-0.74, P<0.001] and CSS (HR =0.67, 95% CI: 0.55-0.82, P<0.001). This benefit was robustly confirmed in the PSM-matched cohort of 878 patients. Subgroup analyses revealed significant interactions, indicating that the survival benefit was most pronounced in patients aged ≥65 years and those with lymph node metastasis (N1/N2) or advanced T-stage (T3/T4).</p><p><strong>Conclusions: </strong>This large, population-based study provides robust evidence that AC is associated with significantly improved survival after surgery for DAC, particularly in older patients and those with lymph node-positive or locally advanced disease. These findings support the use of AC to enhance survival outcomes in specific DAC patient groups.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"8725-8736"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31Epub Date: 2025-12-25DOI: 10.21037/tcr-2025-1434
Shreya Louis, John Paul Aboubechara, Keshav Saigal, Toni Cao, Seema Nagpal
Brain metastases (BrM) are a frequent and devastating complication of non-small cell lung cancer (NSCLC), affecting up to 40% of patients during their disease course. Historically, treatment relied primarily on surgery and radiation, as systemic therapies were thought to have limited activity in the central nervous system (CNS). However, over the past two decades, the development of more targeted therapies has transformed the treatment landscape. Many of these newer agents have improved CNS penetration, which may offer patients the possibility of deferring or reducing the need for local therapies and their associated toxicities. Despite these advances, many challenges remain. There is still a lack of consistent inclusion of BrM patients in clinical trials, and when they are included, there are inconsistencies in measuring radiographic responses as well as in standardized CNS-specific endpoints, making it difficult to compare outcomes across therapies. As treatment options expand, the integration of systemic therapies with surgery and radiation requires nuanced, multidisciplinary decision-making tailored to individual patients. In this review, we aim to summarize the current treatment landscape of pertinent therapies for BrM in NSCLC patients while highlighting the need for broadening inclusion of these patients and creating well-designed prospective studies that intentionally include patients with active and untreated BrM alongside rigorously assess intracranial outcomes. Such efforts will be critical to developing treatment plans in order to ultimately improve survival and quality of life for NSCLC patients with BrM.
{"title":"An updated review on systemic therapy for brain metastases in non-small cell lung cancer.","authors":"Shreya Louis, John Paul Aboubechara, Keshav Saigal, Toni Cao, Seema Nagpal","doi":"10.21037/tcr-2025-1434","DOIUrl":"10.21037/tcr-2025-1434","url":null,"abstract":"<p><p>Brain metastases (BrM) are a frequent and devastating complication of non-small cell lung cancer (NSCLC), affecting up to 40% of patients during their disease course. Historically, treatment relied primarily on surgery and radiation, as systemic therapies were thought to have limited activity in the central nervous system (CNS). However, over the past two decades, the development of more targeted therapies has transformed the treatment landscape. Many of these newer agents have improved CNS penetration, which may offer patients the possibility of deferring or reducing the need for local therapies and their associated toxicities. Despite these advances, many challenges remain. There is still a lack of consistent inclusion of BrM patients in clinical trials, and when they are included, there are inconsistencies in measuring radiographic responses as well as in standardized CNS-specific endpoints, making it difficult to compare outcomes across therapies. As treatment options expand, the integration of systemic therapies with surgery and radiation requires nuanced, multidisciplinary decision-making tailored to individual patients. In this review, we aim to summarize the current treatment landscape of pertinent therapies for BrM in NSCLC patients while highlighting the need for broadening inclusion of these patients and creating well-designed prospective studies that intentionally include patients with active and untreated BrM alongside rigorously assess intracranial outcomes. Such efforts will be critical to developing treatment plans in order to ultimately improve survival and quality of life for NSCLC patients with BrM.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"9053-9062"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31Epub Date: 2025-12-29DOI: 10.21037/tcr-2025-1-2642
Zi Gao, Kaiyue Fu, Peijuan Li, Zhen Fang, Jin Liu, Liang Shang
Background and objective: MicroRNAs (miRNAs or miRs) are critical epigenetic regulators in gastric carcinogenesis; however, to date, comprehensive analyses of their stage-specific dysregulation and clinical utility are limited. This review synthesized evidence on miRNA dysregulation throughout the gastritis-metaplasia-cancer cascade to assess the diagnostic and therapeutic potential of miRNAs. Research challenges are also discussed.
Methods: A narrative overview was conducted based on systematic searches of the PubMed and Web of Science databases (from 1993-2025.03), focusing on high-impact studies on miRNA expression, and their functional mechanisms and clinical utility in gastric precancerous and cancerous lesions.
Key content and findings: Stage-specific miRNA dysregulation contributes to gastric disease progression. In chronic gastritis (CG), miR-155 and let-7b regulate inflammation, while miR-92a-1-5p and miR-296-5p participate in intestinal metaplasia (IM) by modulating CDX2/FOXD1 and ERK signaling. In gastric cancer (GC), miR-21 and miR-375 regulate proliferation and apoptosis. Clinically, circulating miRNA panels (e.g., miR-4257, miR-6785-5p, and miR-187-5p) enhance early detection, while miR-125a-5p boosts the trastuzumab response via ERBB2 targeting. Despite progress, challenges remain in the mechanistic and clinical validation of miRNAs. Integrating multi-omics and machine learning may optimize miRNA-based diagnostics and therapeutics for precision medicine.
Conclusions: This review highlights miRNAs as pivotal regulators in gastric carcinogenesis and promising precision medicine tools. The study findings will promote the standardization of profiling methods and accelerate translational research, both of which are essential to the advancement of GC diagnostic and therapeutic strategies.
背景与目的:MicroRNAs (miRNAs或miRs)是胃癌发生过程中重要的表观遗传调控因子;然而,到目前为止,对其阶段特异性失调和临床应用的综合分析是有限的。本综述综合了miRNA在胃炎-化生-癌级联过程中失调的证据,以评估miRNA的诊断和治疗潜力。本文还讨论了研究面临的挑战。方法:系统检索PubMed和Web of Science数据库(1993- 2015.03),对miRNA表达及其在胃癌前病变和癌性病变中的作用机制和临床应用进行综述。关键内容和发现:阶段特异性miRNA失调有助于胃疾病的进展。在慢性胃炎(CG)中,miR-155和let-7b调节炎症,而miR-92a-1-5p和miR-296-5p通过调节CDX2/FOXD1和ERK信号参与肠化生(IM)。在胃癌(GC)中,miR-21和miR-375调节增殖和凋亡。临床上,循环miRNA面板(例如miR-4257, miR-6785-5p和miR-187-5p)增强早期检测,而miR-125a-5p通过ERBB2靶向增强曲妥珠单抗应答。尽管取得了进展,但mirna的机制和临床验证仍然存在挑战。整合多组学和机器学习可以优化基于mirna的精准医学诊断和治疗方法。结论:本综述强调了mirna在胃癌发生中的关键调节作用和有前途的精准医疗工具。该研究结果将促进分析方法的标准化和加速转化研究,这对提高GC诊断和治疗策略至关重要。
{"title":"The role of microRNAs in gastritis, intestinal metaplasia, and gastric cancer: a narrative review.","authors":"Zi Gao, Kaiyue Fu, Peijuan Li, Zhen Fang, Jin Liu, Liang Shang","doi":"10.21037/tcr-2025-1-2642","DOIUrl":"10.21037/tcr-2025-1-2642","url":null,"abstract":"<p><strong>Background and objective: </strong>MicroRNAs (miRNAs or miRs) are critical epigenetic regulators in gastric carcinogenesis; however, to date, comprehensive analyses of their stage-specific dysregulation and clinical utility are limited. This review synthesized evidence on miRNA dysregulation throughout the gastritis-metaplasia-cancer cascade to assess the diagnostic and therapeutic potential of miRNAs. Research challenges are also discussed.</p><p><strong>Methods: </strong>A narrative overview was conducted based on systematic searches of the PubMed and Web of Science databases (from 1993-2025.03), focusing on high-impact studies on miRNA expression, and their functional mechanisms and clinical utility in gastric precancerous and cancerous lesions.</p><p><strong>Key content and findings: </strong>Stage-specific miRNA dysregulation contributes to gastric disease progression. In chronic gastritis (CG), miR-155 and let-7b regulate inflammation, while miR-92a-1-5p and miR-296-5p participate in intestinal metaplasia (IM) by modulating CDX2/FOXD1 and ERK signaling. In gastric cancer (GC), miR-21 and miR-375 regulate proliferation and apoptosis. Clinically, circulating miRNA panels (e.g., miR-4257, miR-6785-5p, and miR-187-5p) enhance early detection, while miR-125a-5p boosts the trastuzumab response via ERBB2 targeting. Despite progress, challenges remain in the mechanistic and clinical validation of miRNAs. Integrating multi-omics and machine learning may optimize miRNA-based diagnostics and therapeutics for precision medicine.</p><p><strong>Conclusions: </strong>This review highlights miRNAs as pivotal regulators in gastric carcinogenesis and promising precision medicine tools. The study findings will promote the standardization of profiling methods and accelerate translational research, both of which are essential to the advancement of GC diagnostic and therapeutic strategies.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 12","pages":"9063-9081"},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12776212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}