Trends in cancerPub Date : 2025-04-01Epub Date: 2025-03-24DOI: 10.1016/j.trecan.2025.03.007
Danielle T Loughlin
{"title":"The future of cancer research: invest now.","authors":"Danielle T Loughlin","doi":"10.1016/j.trecan.2025.03.007","DOIUrl":"10.1016/j.trecan.2025.03.007","url":null,"abstract":"","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"259-260"},"PeriodicalIF":14.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701721","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":"Regulation of metastatic organotropism.","authors":"Karen J Dunbar, Gizem Efe, Katherine Cunningham, Emily Esquea, Raul Navaridas, Anil K Rustgi","doi":"10.1016/j.trecan.2024.11.012","DOIUrl":"10.1016/j.trecan.2024.11.012","url":null,"abstract":"<p><p>Metastasis is responsible for most cancer-related deaths. Different cancers have their own preferential sites of metastases, a phenomenon termed metastatic organotropism. The mechanisms underlying organotropism are multifactorial and include the generation of a pre-metastatic niche (PMN), metastatic homing, colonization, dormancy, and metastatic outgrowth. Historically, studies of metastatic organotropism have been limited by a lack of models allowing direct comparison of cells exhibiting different patterns of tropism. However, new innovative models and large-scale sequencing efforts have propelled organotropism research. Herein, we summarize the recent discoveries in metastatic organotropism regulation, focusing on lung, liver, brain, and bone tropism. We discuss how emerging technologies are continuing to improve our ability to model and, hopefully, predict and treat organotropism.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"216-231"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142898412","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2025-01-30DOI: 10.1016/j.trecan.2025.01.005
Sarah Waliany, Jessica J Lin, Justin F Gainor
{"title":"Evolution of first versus next-line targeted therapies for metastatic non-small cell lung cancer.","authors":"Sarah Waliany, Jessica J Lin, Justin F Gainor","doi":"10.1016/j.trecan.2025.01.005","DOIUrl":"10.1016/j.trecan.2025.01.005","url":null,"abstract":"<p><p>The expanding armamentarium of targeted therapies has revolutionized treatment for metastatic oncogene-addicted lung cancers. For multiple subsets, such as those harboring EGFR mutations and fusions in ALK or ROS1, successive generation of increasingly potent, selective, and brain-penetrating targeted therapies have shifted the treatment paradigm towards preferential first-line use of next-generation drugs. This evolution in clinical practice provides a lens through which to review the lessons learned from drug development in oncogene-addicted lung cancers, guided by translational insights into tumor biology and mechanisms of therapeutic resistance. For oncogenic drivers that are less sensitive to single-agent targeted therapies, rationally designed combination strategies will be needed to enable first-line use of targeted agents.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"245-257"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075650","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2025-01-14DOI: 10.1016/j.trecan.2024.12.001
Marta Ligero, Omar S M El Nahhas, Mihaela Aldea, Jakob Nikolas Kather
{"title":"Artificial intelligence-based biomarkers for treatment decisions in oncology.","authors":"Marta Ligero, Omar S M El Nahhas, Mihaela Aldea, Jakob Nikolas Kather","doi":"10.1016/j.trecan.2024.12.001","DOIUrl":"10.1016/j.trecan.2024.12.001","url":null,"abstract":"<p><p>The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs) and targeted therapies has increased the complexity of the treatment landscape for solid tumors. At the current rate of annual FDA approvals, the potential treatment options could increase by tenfold over the next 5 years. The cost of personalized medicine technologies limits its accessibility, thus increasing socioeconomic disparities in the treated population. In this review we describe artificial intelligence (AI)-based solutions - including deep learning (DL) methods for routine medical imaging and large language models (LLMs) for electronic health records (EHRs) - to support cancer treatment decisions with cost-effective biomarkers. We address the current limitations of these technologies and propose the next steps towards their adoption in routine clinical practice.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"232-244"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012423","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2025-01-28DOI: 10.1016/j.trecan.2025.01.001
Thomas Savy, Lucy Flanders, Thaneswari Karpanasamy, Min Sun, Marco Gerlinger
{"title":"Cancer evolution: from Darwin to the Extended Evolutionary Synthesis.","authors":"Thomas Savy, Lucy Flanders, Thaneswari Karpanasamy, Min Sun, Marco Gerlinger","doi":"10.1016/j.trecan.2025.01.001","DOIUrl":"10.1016/j.trecan.2025.01.001","url":null,"abstract":"<p><p>The fundamental evolutionary nature of cancer has been recognized for decades. Increasingly powerful genetic and single cell sequencing technologies, as well as preclinical models, continue to unravel the evolution of premalignant cells, and progression to metastatic stages and to drug-resistant end-stage disease. Here, we summarize recent advances and distil evolutionary principles and their relevance for the clinic. We reveal how cancer cell and microenvironmental plasticity are intertwined with Darwinian evolution and demonstrate the need for a conceptual framework that integrates these processes. This warrants the adoption of the recently developed Extended Evolutionary Synthesis (EES).</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"204-215"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068108","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2024-12-12DOI: 10.1016/j.trecan.2024.11.007
James Adeosun, Mohammad Omar Faruk Shaikh, Timothy Brauns, Yuki Agarwala, Mark C Poznansky, Yohannes Gemechu
{"title":"Intratumoral immune cell manipulations as a strategy to enhance cancer vaccine efficiency.","authors":"James Adeosun, Mohammad Omar Faruk Shaikh, Timothy Brauns, Yuki Agarwala, Mark C Poznansky, Yohannes Gemechu","doi":"10.1016/j.trecan.2024.11.007","DOIUrl":"10.1016/j.trecan.2024.11.007","url":null,"abstract":"<p><p>Shortcomings in cancer vaccine development are attributable to weak and transient anti-tumor cellular responses in the tumor microenvironment. This restriction of efficacy may be due to an intratumoral immunosuppressive milieu, consisting of regulatory T cells, M2 macrophages, and myeloid derived suppressor cells. Here, we analyze recent advances and propose future directions in the modulation of cellular state propensities combined with cancer vaccines.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"192-195"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822729","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2024-12-12DOI: 10.1016/j.trecan.2024.10.007
Wendy V Ingman, Kara L Britt, Jennifer Stone, Tuong L Nguyen, John L Hopper, Erik W Thompson
{"title":"Artificial intelligence improves mammography-based breast cancer risk prediction.","authors":"Wendy V Ingman, Kara L Britt, Jennifer Stone, Tuong L Nguyen, John L Hopper, Erik W Thompson","doi":"10.1016/j.trecan.2024.10.007","DOIUrl":"10.1016/j.trecan.2024.10.007","url":null,"abstract":"<p><p>Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammogram and identify novel features associated with high risk of a future breast cancer diagnosis. Here, we discuss how AI is improving mammographic density-associated risk prediction and shaping the future of screening and risk-reducing strategies.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"188-191"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822725","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2024-12-16DOI: 10.1016/j.trecan.2024.11.008
Shea F Grenier, Cosimo Commisso
{"title":"A hormetic response model for glutamine stress in cancer.","authors":"Shea F Grenier, Cosimo Commisso","doi":"10.1016/j.trecan.2024.11.008","DOIUrl":"10.1016/j.trecan.2024.11.008","url":null,"abstract":"<p><p>Glutamine metabolism supports the development and progression of many cancers and is considered a therapeutic target. Attempts to inhibit glutamine metabolism have resulted in limited success and have not translated into clinical benefit. The outcomes of these clinical studies, along with preclinical investigations, suggest that cellular stress responses to glutamine deprivation or targeting may be modeled as a biphasic hormetic response. By recognizing the multifaceted aspects of glutamine metabolism inhibition within a more comprehensive biological framework, the adoption of this model may guide future fundamental and translational studies. To achieve clinical efficacy, we posit that as a field we will need to anticipate the hormetic effects of glutamine stress and consider how best to co-target cancer cell adaptive mechanisms.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"196-203"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142839628","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}
Trends in cancerPub Date : 2025-03-01Epub Date: 2025-02-18DOI: 10.1016/j.trecan.2025.02.002
Kostas A Papavassiliou, Nektarios Anagnostopoulos, Athanasios G Papavassiliou
{"title":"Molecular insights into SMARCA2 degradation in SMARCA4-mutant lung cancers.","authors":"Kostas A Papavassiliou, Nektarios Anagnostopoulos, Athanasios G Papavassiliou","doi":"10.1016/j.trecan.2025.02.002","DOIUrl":"10.1016/j.trecan.2025.02.002","url":null,"abstract":"<p><p>The molecular mechanisms of switch/sucrose nonfermentable (SWI/SNF)-related BAF chromatin remodeling complex subunit ATPase 2 (SMARCA2) degradation remain elusive. Recently, Kotagiri et al. revealed that SMARCA2 degradation induces enhancer reprogramming in SMARCA4-mutant lung cancer cells, rendering enhancers of key cell-cycle genes inaccessible and suppressing their expression. In addition, the authors identified that transcriptional enhanced associate domain (TEAD) inhibitors synergize with SMARCA2 degraders in inhibiting SMARCA4-mutant lung cancer growth.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"185-187"},"PeriodicalIF":14.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143459697","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}
Trends in cancerPub Date : 2025-02-01Epub Date: 2024-12-19DOI: 10.1016/j.trecan.2024.11.001
Gang Zhang, Yinfeng Chen, Xing Huang, Tingbo Liang
{"title":"Cancer immunotherapeutic challenges from autophagy-immune checkpoint reciprocal regulation.","authors":"Gang Zhang, Yinfeng Chen, Xing Huang, Tingbo Liang","doi":"10.1016/j.trecan.2024.11.001","DOIUrl":"10.1016/j.trecan.2024.11.001","url":null,"abstract":"<p><p>Multiple strategies have been clinically employed as combination partners to enhance the therapeutic efficacy of immune checkpoint inhibitors (ICIs). Although these combinations have demonstrated improved effectiveness in some instances, each presents its own limitations. Autophagy-targeting therapy offers several advantages when combined with ICIs, including enhanced tumor immunogenicity, reduced side effects, and broader applicability to diverse patient populations. However, emerging evidence reveals complex reciprocal regulation between autophagy and immune checkpoints which may complicate combination treatments targeting these two systems. This review focuses on the reciprocal interplay between autophagy and immune checkpoints, and provides valuable guidelines for the determination and adjustment of therapeutic regimens in the future.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":" ","pages":"169-184"},"PeriodicalIF":14.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872923","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}