Clinical & Translational Oncology最新文献

{"title":"Anxiety in breast cancer research (1982-2024): a bibliometric analysis.","authors":"Jie Hou, Yaqin Meng, Lei Zhang, Haixia Fan, Minheng Zhang","doi":"10.1007/s12094-025-04115-5","DOIUrl":"10.1007/s12094-025-04115-5","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer remains a major global malignancy, with anxiety severely impacting patients' quality of life and treatment outcomes. Understanding evolving research trends is critical for developing effective interventions. This study examines 40-year trends, collaborations, and knowledge structures in breast cancer anxiety research. The goal is to inform future directions for psychosocial oncology research and policymaking.</p><p><strong>Methods: </strong>Articles and reviews related to breast cancer and anxiety were retrieved from the Web of Science Core Collection (WoSCC). Medical Subject Headings (MeSH) and corresponding entry terms were employed to optimize the search strategy. CiteSpace (Version 6.4.R1), VOSviewer (Version 1.6.19), and the Bibliometrix R package were used to construct knowledge maps, visualize collaboration networks, monitor journal and author metrics over time, and calculate key indicators such as publication and citation counts. Regression analysis was applied to predict future development trends.</p><p><strong>Results: </strong>Analysis of 4376 publications revealed a surge in research post-2006, peaking at 316 publications in 2021. The United States led in publications (1333 articles) and citations (56,008), followed by China, England, and Canada. The University of Sydney ranked first institutionally, and Christine Miaskowski was the most influential author. Psycho-Oncology and Supportive Care in Cancer were the leading journals. Co-citation and reference clustering identified key themes, including the psychological impact of COVID-19, psychological interventions, and long-term survivorship. Keyword analysis revealed a consistent focus on terms such as \"cancer survivor\" and \"mental health,\" with recent trends in \"telehealth,\" \"digital interventions,\" and \"mindfulness.\"</p><p><strong>Conclusion: </strong>Our analysis confirms a paradigm shift toward psychosocial and digital health interventions in breast cancer anxiety research. The findings advocate for integrated, patient-centered care models and highlight untapped potential in low-resource regions. Future research should prioritize scalable digital tools to address global disparities.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1637-1651"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Targeting prostate adenocarcinoma tumor microenvironment via cancer nanotheranostics: a comprehensive update on improved roadmap for disease diagnosis, therapy and management.","authors":"Abdul Wasai, Adhiraj Roy, Deepti Pandita","doi":"10.1007/s12094-025-04121-7","DOIUrl":"10.1007/s12094-025-04121-7","url":null,"abstract":"<p><p>Prostate adenocarcinoma (PAC) ranks second as most lethal malignancy in men worldwide with significant economic burden on public health management. Despite of cytoreductive surgery of visible tumor mass followed by administration of chemotherapies including androgen deprivation therapy (ADT) using several drugs including enzalutamide, patients develop therapy resistance displaying metastatic, castration-resistant PAC (mCRPC). Furthermore, mCRPC patients fail to respond to neoadjuvant chemotherapies (NACT) such as androgen receptor-targeted agents (ARTAs) and develop a lethal, highly aggressive, therapy-induced neuroendocrine PAC (NEPC). Hence, identification of novel, targetable drivers and therapeutic interventions are highly warranted to manage this lethal pathology. Recently, nanotheranostics, an approach combining cancer diagnostics and therapeutics via nanotechnology is emerging as a promising intervention strategy towards early detection, disease remission and improved PAC patient survival outcomes. It frequently targets interacting components between cancer cells and tumor microenvironment (TME) which play critical role in disease progression and chemoresistance. For example, multimodal peptide-based imaging probes (peptides complexed with Cu⁶⁴ etc.) combined with PET-MRI improved early PAC detection and patient survival. In this review, we have comprehensively discussed recent developments in cancer nanotheranostics-their targets in PAC TME, mode of actions and potential therapeutic strategies.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1484-1500"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145551805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuroactive ligand-receptor interaction in gastric cancer: a comprehensive spatial single-cell analysis.","authors":"Lirong Chen, Xiao Li, Shaocong Mo, Shenyang Zhao, Jiayue Zheng, Kexin Cheng, Yi Zhang, Feifei Luo, Wanwei Zheng","doi":"10.1007/s12094-025-04114-6","DOIUrl":"10.1007/s12094-025-04114-6","url":null,"abstract":"<p><strong>Background: </strong>Neuroactive ligand-receptor interaction may influence the development of gastric cancer. However, the underlying mechanisms have not been elucidated.</p><p><strong>Methods: </strong>Based on single-cell, spatial transcriptome, bulk transcriptome data and immunofluorescence in gastric cancer, we validated cells associated with neuroactive ligand-receptor interaction pathways, prognostic genes and communication signaling direction at spatial level.</p><p><strong>Results: </strong>Neuroactive ligand-receptor interaction gene set was closely related to monocyte-macrophages (Mono-Macs), which with high expression of neuroactive ligand-receptor interaction gene set (NEUROhighMono) had significant communication interactions with immune and endothelial cells. Prognostic modeling indicated that patients with high pathway activity had poorer outcomes, characterized by higher stromal scores and elevated immune checkpoint levels. Among related genes, CHRNE was identified as a key marker of poor prognosis, predominantly expressed in Mono-Macs. Integrated spatial transcriptome and immunofluorescence further demonstrated that CHRNE-positive Mono-Macs (CHRNE + Mono) may promote tumor angiogenesis through VEGFA, linking CHRNE to tumor progression and unfavorable prognosis.</p><p><strong>Conclusions: </strong>This study explored neuroactive ligand-receptor interactions in gastric cancer, revealing that Mono-Macs were significantly influenced by related genes. CHRNE + Mono may regulate tumor microenvironment by promoting angiogenesis, highlighting CHRNE as a potential driver of tumor progression. These findings suggest that neuroactive ligand-receptor interactions, particularly CHRNE, could offer potential therapeutic strategies for gastric cancer.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1718-1731"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145524709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the predictive role of inflammatory indices in cancer metastasis.","authors":"Mohammad Reza Moghaddasnejad, Tina Vosoughi, Negar Sadat Sherafat, Saeid Bitaraf, Najmaldin Saki","doi":"10.1007/s12094-025-04093-8","DOIUrl":"10.1007/s12094-025-04093-8","url":null,"abstract":"<p><strong>Background: </strong>Early detection of metastasis in cancer patients plays a pivotal role in improving treatment outcomes and increasing patient survival. This study aimed to evaluate the predictive role of inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI), in identifying metastatic status.</p><p><strong>Methods: </strong>In this study, 60 cancer patients were enrolled between December 2023 and June 2024. Clinicopathological data and complete blood counts (CBCs) were collected prior to treatment initiation. The Receiver Operating Characteristic (ROC) curve was used to determine the optimal cutoff values of different baseline inflammatory indices for the metastatic status analysis.</p><p><strong>Results: </strong>The levels of inflammatory indices were greater in metastatic patients than in nonmetastatic patients; however, only the SIRI was significantly different (1.04 [0.76-1.69] vs. 0.71 [0.45-1.07]; P = 0.044). ROC curve analysis revealed that the area under the curve (AUC) for the SIRI was 0.652 (95% CI 0.507-0.797). Furthermore, broader combinations of the SIRI and MLR, either individually or in conjunction with the NLR, PLR, and/or SII, yielded multi-index models with greater discriminatory power and maintained statistical significance (p < 0.05).</p><p><strong>Conclusion: </strong>The findings indicate that the SIRI, in combination with the MLR, plays a significant role in predicting the metastatic status of cancer patients.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1853-1860"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145453803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A radiogenomics biomarker based on tumor angiogenesis for non-invasive prognosis of clear cell renal cell carcinoma.","authors":"Yuanchao Li, Youting Huang, Haiyun Xu, Shuohui Yang","doi":"10.1007/s12094-025-04109-3","DOIUrl":"10.1007/s12094-025-04109-3","url":null,"abstract":"<p><strong>Purpose: </strong>Tumor angiogenesis drives prognostic heterogeneity in clear cell renal cell carcinoma (ccRCC), but macroscopic imaging cannot predict angiogenesis-related gene dysregulation. We aimed to develop a noninvasive radiogenomic model for assessing angiogenesis-associated gene signatures.</p><p><strong>Methods: </strong>Transcriptomic profiles from TCGA-KIRC were analyzed via \"ConsensusClusterPlus\" to identify angiogenesis subtypes. Univariate Cox, LASSO and Multivariate Cox regression selected prognostic angiogenesis-related genes, constructing a signature-based risk model. Prognostic nomograms integrated genomic markers with clinical variables. Radiomic features from TCIA CT images identified biomarkers stratifying angiogenesis expression, forming a radiogenomic prognostic nomogram. Performance was validated using receiver operating characteristic curves, calibration plots, and decision curve analysis.</p><p><strong>Results: </strong>The ccRCC patients were stratified into two angiogenesis-based molecular subtypes. An eight-gene angiogenesis signature predicted overall survival in TCGA, categorizing patients into low-/high-risk groups. Six radiomic features predicting signature expression were identified (Training AUC = 0.753; Testing AUC = 0.814). The combined radiogenomic-clinical nomogram achieved time-dependent survival AUCs of 0.870 (1-year), 0.811 (3-year), and 0.784 (5-year).</p><p><strong>Conclusion: </strong>The radiogenomics model correlates significantly with angiogenesis-related gene expression and enables prognostic stratification in ccRCC, supporting precision treatment selection and advancing personalized theranostics.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1825-1838"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145453755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SEOM-GEMCAD-TTD clinical guideline for the diagnosis and treatment of esophageal cancer (update 2025).","authors":"Ana Fernández-Montes, Julia Alcaide, Ana Belén Custodio, Lourdes Fernández Franco, Javier Gallego Plazas, Carlos Gómez-Martín, Paula Richart, Fernando Rivera, Maria Alsina","doi":"10.1007/s12094-026-04291-y","DOIUrl":"10.1007/s12094-026-04291-y","url":null,"abstract":"<p><p>Esophageal cancer represents an aggressive disease positioned as the seventh-leading cause of death from cancer. Esophageal cancer comprises two different diseases that should be distinguished by histology, i.e., squamous cell carcinoma and adenocarcinoma. The epidemiology and molecular differences between these two entities explain their different responsiveness to novel treatments which should be treated independently. The improvement in outcomes of patients with esophageal cancer are obtained when a multidisciplinary therapeutic strategy is utilized. The introduction of targeted therapies including immunotherapy has markedly improved patient outcomes. We present an updated version of the Spanish esophageal cancer guidelines, summarizing the current evidence and available therapies for the treatment of esophageal cancer.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1595-1609"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13099785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147357306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of PLN, LNR, and LODDS in advanced colorectal signet ring cell carcinoma.","authors":"Liang Chu, Cenzhu Wang, Han Wang, Yucheng Ding, Shuhan Feng, Yan Zhang, Yanan Zheng, Fuchao Li, Lei Liu","doi":"10.1007/s12094-025-04108-4","DOIUrl":"10.1007/s12094-025-04108-4","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate the prognostic value of positive lymph node (PLN), lymph node ratio (LNR) and the log odds of metastatic lymph nodes (LODDS) in advanced colorectal signet ring cell carcinoma (CRC-SRCC) patients.</p><p><strong>Methods: </strong>CRC-SRCC patients were collected from the SEER database between 2013 and 2017 to form the training set. Concurrently, patients from four tertiary hospitals in China were gathered to constitute an external validation set. Survival curves were constructed using the Kaplan-Meier method, and univariate and multivariate prognostic analyses were conducted using the Cox proportional hazards model. A nomogram model was developed, and the discrimination and accuracy of the model were assessed using calibration curves, and receiver operating characteristic (ROC) curves.</p><p><strong>Results: </strong>A total of 391 patients with advanced CRC-SRCC were included in the study. Univariate and multivariate analyses demonstrated that high PLN, LNR, and LODDS were significantly associated with worse cancer-specific survival (CSS) and overall survival (OS). Combined variable of PLN, LNR, and LODDS had greater prognostic value, compared with the triple-variable low group, the triple-variable high group had a 7.398-fold (95% CI: 3.488-15.691) increased risk of death. Further analysis showed that the combined variable contributed 54.7% to prognosis in the training set and 47.6% in the validation set. A prognostic nomogram incorporating the combined variable was developed. The calibration curve and ROC curve indicated that the model had relatively good predictive accuracy.</p><p><strong>Conclusion: </strong>PLN, LNR, and LODDS may serve as valuable indicators for prognostic assessment in patients with CRC-SRCC, with the combined variable demonstrating superior predictive performance.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1792-1806"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145514868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of GPA, molGPA and prognostic factors in melanoma brain metastases: a single-center study.","authors":"Jens Christian Philippi, Niklas Mittenbacher, Dirk Vordermark, Daniel Medenwald, Jörg Andreas Müller","doi":"10.1007/s12094-025-04118-2","DOIUrl":"10.1007/s12094-025-04118-2","url":null,"abstract":"<p><strong>Background: </strong>Malignant melanoma ranks among the leading causes of brain metastases (BM). The Graded Prognostic Assessment (GPA) and the melanoma-specific molecular GPA (molGPA) are well-established prognostic tools that help estimate survival and guide therapeutic decisions. This single-center, retrospective clinical study aimed to evaluate prognostic factors for overall survival (OS), intracranial tumor control (IC), and intracranial progression-free survival (IPFS), as well as GPA and molGPA within a real-world clinical setting.</p><p><strong>Methods: </strong>Patients with melanoma-associated BM who underwent radiotherapy (RT) between January 2016 and December 2023 were included. Study endpoints included OS, IC, and IPFS, with OS and IPFS analyzed across the entire cohort (n = 59) and IC was evaluated in cases with follow-up imaging (n = 47).</p><p><strong>Results: </strong>The median survival of all patients was 6.9 months (IQR 2.2; 23.6). Regarding OS, three predictive factors were significantly associated with the survival probability: a Karnofsky performance status index (KPS) <70 (p = 0.003), a GPA score of 0-1.0 versus 1.5-4.0 (p = 0.002) and a molGPA score of 0-1.0 versus 1.5-4.0 (p= 0.034). Intracranial progression-free survival was significantly decreased in patients with KPS <70 (p = 0.01), multiple brain metastases (p = 0.036), and GPA scores of 0-1.0 (p = 0.011).</p><p><strong>Conclusions: </strong>Both GPA and molGPA were validated as significant predictors of OS in patients with melanoma-associated BM. However, GPA emerged as the sole score significantly associated with both OS and IPFS, suggesting a potential advantage in its clinical utility. The validation of GPA and molGPA as significant predictors for OS in a real clinical setting support their use in guiding treatment recommendations.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1815-1824"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13099800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145670857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex-based molecular and prognostic disparities in pan-cancer: an analysis across the global cohorts.","authors":"Guruguhan Sivakumar, Tapas Patra, Durgadevi Veeraiyan, Akhileshwar Namani","doi":"10.1007/s12094-025-04104-8","DOIUrl":"10.1007/s12094-025-04104-8","url":null,"abstract":"<p><strong>Background: </strong>Biological sex influences cancer risk, molecular profiles, and clinical outcomes, yet its role in non-reproductive cancers remains underexplored.</p><p><strong>Methods: </strong>This study investigated sex-based differences in somatic mutations, copy number alterations (CNAs), and overall survival (OS) across 34,782 patients from three global pan-cancer cohorts (TCGA, MSK MetTropism, and China OrigiMed), excluding reproductive cancers to minimize confounders. Sex-specific genetic alterations were assessed using Fisher's exact test, while OS differences were evaluated with Kaplan-Meier and Cox proportional hazards models.</p><p><strong>Results: </strong>Incidence patterns revealed a strong male predominance in esophageal, liver, bladder, and head and neck cancers, whereas thyroid and gallbladder cancers were more common in females. OS analysis showed a consistent female advantage in both primary and metastatic cohorts, with males experiencing poorer OS in lung adenocarcinoma, glioblastoma, and pancreatic adenocarcinoma, although colorectal cancer with hepatic metastases favored males. Mutational profiling revealed that the TP53, CDKN2A, and TTN mutations were more frequent in males, while EGFR, KRAS, BRAF, and PIK3CA mutations occurred more often in females. Notably, BRAF and EGFR mutations were associated with better survival in females. CNAs analysis demonstrated male-biased amplifications, including CCND1 and the FGF cluster in the China cohort, and MYC, CCND1, and ERBB2 in the TCGA and MSK cohorts. In contrast, MDM2 amplification was enriched in females in the China cohort.</p><p><strong>Conclusion: </strong>These findings highlight both shared and population-specific molecular differences and underscore the importance of integrating sex as a biological variable in cancer genomics, biomarker development, and clinical trial design.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1893-1904"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145543452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a cuproptosis-related gene signature for predicting prognosis and drug sensitivity in gastric cancer.","authors":"Hongxin Huang, Funing Zhang, Zetian Chen, Jihuan Wang, Yifan Zou, Weizhi Wang, Zekuan Xu","doi":"10.1007/s12094-025-04132-4","DOIUrl":"10.1007/s12094-025-04132-4","url":null,"abstract":"<p><strong>Background: </strong>Cuproptosis, a recently identified copper-dependent form of cell death linked to the tricarboxylic acid cycle, remains poorly understood with respect to its association with prognosis and therapeutic response in gastric cancer (GC). This study aimed to construct a prognostic model based on cuproptosis-related genes (CRGs) and to evaluate its clinical utility for predicting patient survival and therapeutic response.</p><p><strong>Methods: </strong>Transcriptomic and clinical data of GC patients were obtained from the TCGA and GEO databases. Consensus clustering was applied to identify molecular subtypes based on CRG expression profiles. A prognostic model was developed using LASSO regression on differentially expressed genes, and a nomogram integrating clinical variables and the signature was constructed to enhance outcome prediction. The model's performance was assessed via Kaplan-Meier survival analysis, log-rank tests, Cox regression, and time-dependent ROC curves. Chemotherapy and immunotherapy response predictions were evaluated using the pRRophetic package and the TIDE algorithm, respectively. Single-cell RNA sequencing analysis was conducted using the Seurat package, and the expression of key genes was validated by qRT-PCR in cell lines and clinical specimens.</p><p><strong>Results: </strong>Comprehensive analysis of CRG expression and prognostic relevance identified two distinct cuproptosis-associated molecular subtypes in GC. A six-gene prognostic model was developed via LASSO regression. Patients were stratified into high- and low-risk groups. The high-risk group exhibited worse survival and more advanced TNM stages, whereas the low-risk group showed greater predicted sensitivity to chemotherapy and immunotherapy. ROC analysis confirmed the model's reasonable predictive performance.</p><p><strong>Conclusions: </strong>This study reveals significant associations between CRG expression, predicted therapeutic response, and clinical prognosis in GC patients. The developed prognostic model may serve as a clinically useful tool for survival prediction and could facilitate personalized therapeutic strategies.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1761-1778"},"PeriodicalIF":2.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145607199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}