{"title":"Transcriptome Concordance Between Borderline Tumors and Endometrioid Carcinoma: An Integrative Genomic Analysis.","authors":"Mio Takahashi, Kohei Nakamura, Tatsuyuki Chiyoda, Chihiro Okada, Sachio Nohara, Reika Takamatsu, Shintaro Yanazume, Hiroaki Kobayashi, Hiroshi Nishihara, Wataru Yamagami","doi":"10.1002/cam4.70601","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Borderline ovarian tumors (BOTs) differ from ovarian carcinomas in their clinical presentation and behavior, yet their molecular characteristics remain poorly understood. This study aims to address this gap by integrating whole-exome sequencing (WES) and RNA sequencing (RNA-seq) to compare BOTs with high-grade serous carcinoma (HGSC), endometrioid carcinoma (EC), and clear-cell carcinoma (CCC).</p><p><strong>Objective: </strong>To elucidate the molecular features of BOTs and evaluate their similarities and differences in comparison to HGSC, EC, and CCC.</p><p><strong>Methods: </strong>The study analyzed 44 ovarian tumor samples, employing WES to identify genomic alterations and RNA-seq to examine transcriptomic profiles. Comparative analyses were conducted to investigate the molecular relationships among the tumor types.</p><p><strong>Results: </strong>The genomic analysis revealed that BOTs share significant similarities with EC. Furthermore, the transcriptomic data highlighted a novel and substantial similarity between BOTs and EC, suggesting deeper biological linkages, including potentially shared oncogenic pathways or tumor microenvironmental factors. These findings challenge traditional classifications and suggest a closer molecular alignment of BOTs with EC than previously understood.</p><p><strong>Conclusions: </strong>This study provides new insights into the molecular characteristics of BOTs, demonstrating their significant resemblance to EC at both the genomic and transcriptomic levels. These results underscore the potential need to reconsider the molecular classification of ovarian tumors and open new avenues for research into the pathogenesis and treatment strategies for BOTs.</p>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 2","pages":"e70601"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11751852/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/cam4.70601","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Borderline ovarian tumors (BOTs) differ from ovarian carcinomas in their clinical presentation and behavior, yet their molecular characteristics remain poorly understood. This study aims to address this gap by integrating whole-exome sequencing (WES) and RNA sequencing (RNA-seq) to compare BOTs with high-grade serous carcinoma (HGSC), endometrioid carcinoma (EC), and clear-cell carcinoma (CCC).
Objective: To elucidate the molecular features of BOTs and evaluate their similarities and differences in comparison to HGSC, EC, and CCC.
Methods: The study analyzed 44 ovarian tumor samples, employing WES to identify genomic alterations and RNA-seq to examine transcriptomic profiles. Comparative analyses were conducted to investigate the molecular relationships among the tumor types.
Results: The genomic analysis revealed that BOTs share significant similarities with EC. Furthermore, the transcriptomic data highlighted a novel and substantial similarity between BOTs and EC, suggesting deeper biological linkages, including potentially shared oncogenic pathways or tumor microenvironmental factors. These findings challenge traditional classifications and suggest a closer molecular alignment of BOTs with EC than previously understood.
Conclusions: This study provides new insights into the molecular characteristics of BOTs, demonstrating their significant resemblance to EC at both the genomic and transcriptomic levels. These results underscore the potential need to reconsider the molecular classification of ovarian tumors and open new avenues for research into the pathogenesis and treatment strategies for BOTs.
期刊介绍：
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
