Cancer discovery最新文献

{"title":"Combination Diagnostics: Adding Blood-Based ctDNA Screening to Low-Dose CT Imaging for Early Detection of Lung Cancer.","authors":"Daniel A Haber, Steven J Skates","doi":"10.1158/2159-8290.CD-24-1195","DOIUrl":"https://doi.org/10.1158/2159-8290.CD-24-1195","url":null,"abstract":"<p><p>Annual low-dose CT screening of individuals with a smoking history identifies early curable lung tumors and reduces cancer mortality by 20%, yet only a minority of eligible patients undergo such monitoring. Mazzone and colleagues apply a blood-based cfDNA fragmentomic assay as a high-sensitivity/low-specificity pre-screen to help stratify individuals who may benefit most from more definitive low-dose CT imaging. See related article by Mazzone et al., p. 2224.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2025-2027"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Cancer Detection Through Comprehensive Mapping of Dynamic Tumorigenesis.","authors":"Jiang Chang, Tongsen Zheng, Chen Wu","doi":"10.1158/2159-8290.CD-24-0831","DOIUrl":"https://doi.org/10.1158/2159-8290.CD-24-0831","url":null,"abstract":"<p><p>Current strategies for early cancer detection and diagnosis need updating to achieve greater precision, necessitating the creation of a comprehensive evolutionary map of tumorigenesis. This requires establishing high-quality prospective cohorts, systematically collecting samples for integrated spatiotemporal multiomics analyses, and efficiently translating laboratory findings into clinical applications.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2037-2040"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the Interplay of Diet, Obesity, Immune Function, and Cancer.","authors":"Yumin Fu, Xinyu Guo, Linmao Sun, Tianming Cui, Jiabei Wang, Yao Liu, Lianxin Liu","doi":"10.1158/2159-8290.CD-24-0834","DOIUrl":"https://doi.org/10.1158/2159-8290.CD-24-0834","url":null,"abstract":"<p><p>This commentary provides an in-depth exploration of the intricate relationships among diet, obesity, immune function, and cancer, highlighting the potential role of dietary interventions as complementary therapies in cancer treatment. Multiple analyses underscore the importance of personalized dietary strategies in cancer management and identify opportunities for further research in this evolving field.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2047-2050"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine.","authors":"Tadayoshi Hashimoto, Yoshiaki Nakamura, Takao Fujisawa, Mitsuho Imai, Taro Shibuki, Naoko Iida, Hiroshi Ozaki, Norio Nonomura, Chigusa Morizane, Hiroji Iwata, Susumu Okano, Wataru Yamagami, Naoya Yamazaki, Shigenori Kadowaki, Hiroya Taniguchi, Makoto Ueno, Shogen Boku, Eiji Oki, Yoshito Komatsu, Satoshi Yuki, Akitaka Makiyama, Tomoyuki Otsuka, Hiroki Hara, Naohiro Okano, Tomohiro Nishina, Yasutoshi Sakamoto, Izumi Miki, Shin Kobayashi, Junichiro Yuda, Shun-Ichiro Kageyama, Michiko Nagamine, Shingo Sakashita, Naoya Sakamoto, Riu Yamashita, Yoshikatsu Koga, Hideaki Bando, Genichiro Ishii, Takeshi Kuwata, Woong-Yang Park, Atsushi Ohtsu, Takayuki Yoshino","doi":"10.1158/2159-8290.CD-24-0206","DOIUrl":"10.1158/2159-8290.CD-24-0206","url":null,"abstract":"<p><p>The SCRUM-Japan MONSTAR-SCREEN consortium is a nationwide molecular profiling project employing artificial intelligence-driven multiomics analyses for patients with advanced malignancies, aiming to develop novel therapeutics and diagnostics and deliver effective drugs to patients. Concurrently, studies assessing molecular residual disease-based precision medicine for resectable solid tumors, including CIRCULATE-Japan, are ongoing. The substantial data generated by these platforms are stored within a state-of-the-art supercomputing infrastructure, VAPOR CONE. Since 2015, our project has registered over 24,000 patients as of December 2023. Among 16,144 patients with advanced solid tumors enrolled in MONSTAR-SCREEN projects, 5.0% have participated in matched clinical trials, demonstrating a 29.2% objective response rate and 14.8-month median survival (95% CI, 13.4-16.3) for patients treated in the matched clinical trials. Notably, patients who received matched therapy demonstrated significantly prolonged overall survival compared with those who did not (hazard ratio 0.77; 95% confidence interval, 0.71-0.83). Significance: Our nationwide molecular profiling initiative played pivotal roles in facilitating the enrollment of patients with advanced solid tumors into matched clinical trials and highlighted the substantial survival benefits of patients treated with matched therapy. We aim to facilitate an industry-academia data-sharing infrastructure ecosystem, fostering new drug discovery paradigms and precision medicine.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":" ","pages":"2243-2261"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beneath the Surface: Neoantigens beyond Chromosomal DNA Mutations.","authors":"Shicheng Su","doi":"10.1158/2159-8290.CD-24-0830","DOIUrl":"https://doi.org/10.1158/2159-8290.CD-24-0830","url":null,"abstract":"<p><p>The conventional wisdom is that the overwhelming majority of neoantigens arise from chromosomal DNA mutations; however, recent studies show that posttranscriptional and posttranslational events can also generate neoantigens. This commentary provides an overview of known and potential sources of nonchromosomal neoantigens, emerging technologies, and clinical trials that may move this field forward to redefine immunologically \"hot/cold\" tumors and develop next-generation immunotherapeutic approaches.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2066-2070"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing Cancer Prevention through an AI-Based Integration of Traditional and Western Medicine.","authors":"Peng Zhang, Qian Zhang, Shao Li","doi":"10.1158/2159-8290.CD-24-0832","DOIUrl":"https://doi.org/10.1158/2159-8290.CD-24-0832","url":null,"abstract":"<p><p>Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer prevention and serves as a complement to Western medicine. We propose an artificial intelligence-based integration of traditional and Western medicine as a new paradigm for cancer prevention, encompassing cancer risk screening and preventive intervention, which will provide new solutions for cancer prevention and offer fresh perspectives for traditional medicine research worldwide.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2033-2036"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Far Side of Resistance to RAS Inhibitors.","authors":"Michelangelo Marasco, Sandra Misale","doi":"10.1158/2159-8290.CD-24-1153","DOIUrl":"https://doi.org/10.1158/2159-8290.CD-24-1153","url":null,"abstract":"<p><p>In this issue, four articles highlight the critical role of nongenetic mechanisms and cell plasticity in mediating resistance to different classes of RAS inhibitors in pancreatic ductal adenocarcinoma and non-small cell lung cancer. See related article by Benitz et al., p. 2162 See related article by Dilly et al., p. 2135 See related article by Araujo et al., p. 2183 See related article by Singhal et al., p. 2122.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2018-2020"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-Cell View of Tumor Microenvironment Gradients in Pleural Mesothelioma.","authors":"Bruno Giotti, Komal Dolasia, William Zhao, Peiwen Cai, Robert Sweeney, Elliot Merritt, Evgeny Kiner, Grace S Kim, Atharva Bhagwat, Thinh Nguyen, Samarth Hegde, Bailey G Fitzgerald, Sanjana Shroff, Travis Dawson, Monica Garcia-Barros, Jamshid Abdul-Ghafar, Rachel Chen, Sacha Gnjatic, Alan Soto, Rachel Brody, Seunghee Kim-Schulze, Zhihong Chen, Kristin G Beaumont, Miriam Merad, Raja M Flores, Robert P Sebra, Amir Horowitz, Thomas U Marron, Anna Tocheva, Andrea Wolf, Alexander M Tsankov","doi":"10.1158/2159-8290.CD-23-0017","DOIUrl":"10.1158/2159-8290.CD-23-0017","url":null,"abstract":"<p><p>Immunotherapies have shown great promise in pleural mesothelioma (PM), yet most patients still do not achieve significant clinical response, highlighting the importance of improving the understanding of the tumor microenvironment (TME). Here, we utilized high-throughput, single-cell RNA sequencing (scRNA-seq) to de novo identify 54 expression programs and construct a comprehensive cellular catalog of the PM TME. We found four cancer-intrinsic programs associated with poor disease outcome and a novel fetal-like, endothelial cell population that likely responds to VEGF signaling and promotes angiogenesis. Across cellular compartments, we observe substantial difference in the TME associated with a cancer-intrinsic sarcomatoid signature, including enrichment in fetal-like endothelial cells, CXCL9+ macrophages, and cytotoxic, exhausted, and regulatory T cells, which we validated using imaging and bulk deconvolution analyses on independent cohorts. Finally, we show, both computationally and experimentally, that NKG2A:HLA-E interaction between NK and tumor cells represents an important new therapeutic axis in PM, especially for epithelioid cases. Significance: This manuscript presents the first single-cell RNA sequencing atlas of PM tumor microenvironment. Findings of translational relevance, validated experimentally and using independent bulk cohorts, include identification of gene programs predictive of survival, a fetal-like endothelial cell population, and NKG2A blockade as a promising new immunotherapeutic intervention in PM.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":" ","pages":"2262-2278"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141497228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Classical Epithelial State Drives Acute Resistance to KRAS Inhibition in Pancreatic Cancer.","authors":"Anupriya Singhal, Hannah C Styers, Jonathan Rub, Zhuxuan Li, Stefan R Torborg, Jung Yun Kim, Olivera Grbovic-Huezo, Huijin Feng, Zeynep Cagla Tarcan, Hulya Sahin Ozkan, Jill Hallin, Olca Basturk, Rona Yaeger, James G Christensen, Doron Betel, Yan Yan, Iok In Christine Chio, Elisa de Stanchina, Tuomas Tammela","doi":"10.1158/2159-8290.CD-24-0740","DOIUrl":"10.1158/2159-8290.CD-24-0740","url":null,"abstract":"<p><p>Intratumoral heterogeneity in pancreatic ductal adenocarcinoma (PDAC) is characterized by a balance between basal and classical epithelial cancer cell states, with basal dominance associating with chemoresistance and a dismal prognosis. Targeting oncogenic KRAS, the primary driver of pancreatic cancer, shows early promise in clinical trials, but efficacy is limited by acquired resistance. Using genetically engineered mouse models and patient-derived xenografts, we find that basal PDAC cells are highly sensitive to KRAS inhibitors. Employing fluorescent and bioluminescent reporter systems, we longitudinally track cell-state dynamics in vivo and reveal a rapid, KRAS inhibitor-induced enrichment of the classical state. Lineage tracing uncovers that these enriched classical PDAC cells are a reservoir for disease relapse. Genetic or chemotherapy-mediated ablation of the classical cell state is synergistic with KRAS inhibition, providing a preclinical proof of concept for this therapeutic strategy. Our findings motivate combining classical state-directed therapies with KRAS inhibitors to deepen responses and counteract resistance in pancreatic cancer. Significance: KRAS inhibitors hold promise in pancreatic cancer, but responses are limited by acquired resistance. We find that a classical epithelial cancer cell state is acutely resistant to KRAS inhibition and serves as a reservoir for disease relapse. Targeting the classical state alongside KRAS inhibition deepens responses, revealing a potent therapeutic strategy. See related commentary by Marasco and Misale, p. 2018.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":" ","pages":"2122-2134"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141554211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Highly Multiplexed Tissue Imaging in Precision Oncology and Translational Cancer Research.","authors":"Alina Bollhagen, Bernd Bodenmiller","doi":"10.1158/2159-8290.CD-23-1165","DOIUrl":"10.1158/2159-8290.CD-23-1165","url":null,"abstract":"<p><p>Precision oncology tailors treatment strategies to a patient's molecular and health data. Despite the essential clinical value of current diagnostic methods, hematoxylin and eosin morphology, immunohistochemistry, and gene panel sequencing offer an incomplete characterization. In contrast, highly multiplexed tissue imaging allows spatial analysis of dozens of markers at single-cell resolution enabling analysis of complex tumor ecosystems; thereby it has the potential to advance our understanding of cancer biology and supports drug development, biomarker discovery, and patient stratification. We describe available highly multiplexed imaging modalities, discuss their advantages and disadvantages for clinical use, and potential paths to implement these into clinical practice. Significance: This review provides guidance on how high-resolution, multiplexed tissue imaging of patient samples can be integrated into clinical workflows. It systematically compares existing and emerging technologies and outlines potential applications in the field of precision oncology, thereby bridging the ever-evolving landscape of cancer research with practical implementation possibilities of highly multiplexed tissue imaging into routine clinical practice.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":"14 11","pages":"2071-2088"},"PeriodicalIF":29.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}