Nosakhare Paul Ilerhunmwuwa, Ibrahim Halil Sahin, Anwaar Saeed
{"title":"Immunotherapy resistance in colorectal cancer with liver metastases: challenges & therapeutic advances.","authors":"Nosakhare Paul Ilerhunmwuwa, Ibrahim Halil Sahin, Anwaar Saeed","doi":"10.21037/cco-24-93","DOIUrl":null,"url":null,"abstract":"<p><p>Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, with liver metastasis (LM) being the most common site of spread. The emergence of immunotherapy has changed the landscape of cancer treatment, providing therapeutic options for the management of CRC, especially in metastatic settings. Typically, CRC with microsatellite instability-high (MSI-H) status respond more favorably than those that are microsatellite stable (MSS). However, it has been observed that the presence of LMs limits the efficacy of immunotherapy irrespective of the microsatellite instability (MSI) status, which presents unique challenges in managing CRC with LMs (CRCLM). The exact mechanisms for resistance to immunotherapy in CRCLM are poorly understood. Several factors in the liver tumor microenvironment (TME) have been linked to therapeutic failures with immunotherapy in CRCLM. Novel agents that explore and target immunosuppressive elements in the liver TME, such as the lymphocyte activation gene 3 (LAG-3) and vascular endothelial growth factor receptor (VEGFR), in combination with anti-programmed death-1/ligand-1 (PD-1/PD-L1) have been found to improve immunotherapy response in CRCLM. Machine learning-based bioinformatics may provide further understanding of the several molecular mechanisms in the liver TME that may represent potential areas for therapeutic options and precision cancer medicine. This manuscript explores the challenges associated with immunotherapy in this subset of patients, focusing on TME, immune resistance mechanisms, and potential strategies to enhance immunotherapeutic outcomes.</p>","PeriodicalId":9945,"journal":{"name":"Chinese clinical oncology","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese clinical oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/cco-24-93","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, with liver metastasis (LM) being the most common site of spread. The emergence of immunotherapy has changed the landscape of cancer treatment, providing therapeutic options for the management of CRC, especially in metastatic settings. Typically, CRC with microsatellite instability-high (MSI-H) status respond more favorably than those that are microsatellite stable (MSS). However, it has been observed that the presence of LMs limits the efficacy of immunotherapy irrespective of the microsatellite instability (MSI) status, which presents unique challenges in managing CRC with LMs (CRCLM). The exact mechanisms for resistance to immunotherapy in CRCLM are poorly understood. Several factors in the liver tumor microenvironment (TME) have been linked to therapeutic failures with immunotherapy in CRCLM. Novel agents that explore and target immunosuppressive elements in the liver TME, such as the lymphocyte activation gene 3 (LAG-3) and vascular endothelial growth factor receptor (VEGFR), in combination with anti-programmed death-1/ligand-1 (PD-1/PD-L1) have been found to improve immunotherapy response in CRCLM. Machine learning-based bioinformatics may provide further understanding of the several molecular mechanisms in the liver TME that may represent potential areas for therapeutic options and precision cancer medicine. This manuscript explores the challenges associated with immunotherapy in this subset of patients, focusing on TME, immune resistance mechanisms, and potential strategies to enhance immunotherapeutic outcomes.
期刊介绍:
The Chinese Clinical Oncology (Print ISSN 2304-3865; Online ISSN 2304-3873; Chin Clin Oncol; CCO) publishes articles that describe new findings in the field of oncology, and provides current and practical information on diagnosis, prevention and clinical investigations of cancer. Specific areas of interest include, but are not limited to: multimodality therapy, biomarkers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to cancer. The aim of the Journal is to provide a forum for the dissemination of original research articles as well as review articles in all areas related to cancer. It is an international, peer-reviewed journal with a focus on cutting-edge findings in this rapidly changing field. To that end, Chin Clin Oncol is dedicated to translating the latest research developments into best multimodality practice. The journal features a distinguished editorial board, which brings together a team of highly experienced specialists in cancer treatment and research. The diverse experience of the board members allows our editorial panel to lend their expertise to a broad spectrum of cancer subjects.