Cancer CellPub Date : 2024-07-08DOI: 10.1016/j.ccell.2024.06.011
Marc Remke, Vijay Ramaswamy
{"title":"Medulloblastoma subgrouping at first sight","authors":"Marc Remke, Vijay Ramaswamy","doi":"10.1016/j.ccell.2024.06.011","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.06.011","url":null,"abstract":"<p>Recent incorporation of the four primary medulloblastoma subgroups into the WHO Classification of Central Nervous System Tumors necessitates globally accessible methods to discern subgroups. In this issue of <em>Cancer Cell</em>, Wang et al. develop a rapid and reliable machine learning workflow for pre-operative subgroup determination using routine magnetic resonance imaging.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"19 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141561679","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}
Cancer CellPub Date : 2024-06-27DOI: 10.1016/j.ccell.2024.06.002
Yan-Ran (Joyce) Wang, Pengcheng Wang, Zihan Yan, Quan Zhou, Fatma Gunturkun, Peng Li, Yanshen Hu, Wei Emma Wu, Kankan Zhao, Michael Zhang, Haoyi Lv, Lehao Fu, Jiajie Jin, Qing Du, Haoyu Wang, Kun Chen, Liangqiong Qu, Keldon Lin, Michael Iv, Hao Wang, Jian Gong
{"title":"Advancing presurgical non-invasive molecular subgroup prediction in medulloblastoma using artificial intelligence and MRI signatures","authors":"Yan-Ran (Joyce) Wang, Pengcheng Wang, Zihan Yan, Quan Zhou, Fatma Gunturkun, Peng Li, Yanshen Hu, Wei Emma Wu, Kankan Zhao, Michael Zhang, Haoyi Lv, Lehao Fu, Jiajie Jin, Qing Du, Haoyu Wang, Kun Chen, Liangqiong Qu, Keldon Lin, Michael Iv, Hao Wang, Jian Gong","doi":"10.1016/j.ccell.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.06.002","url":null,"abstract":"<p>Global investigation of medulloblastoma has been hindered by the widespread inaccessibility of molecular subgroup testing and paucity of data. To bridge this gap, we established an international molecularly characterized database encompassing 934 medulloblastoma patients from thirteen centers across China and the United States. We demonstrate how image-based machine learning strategies have the potential to create an alternative pathway for non-invasive, presurgical, and low-cost molecular subgroup prediction in the clinical management of medulloblastoma. Our robust validation strategies—including cross-validation, external validation, and consecutive validation—demonstrate the model’s efficacy as a generalizable molecular diagnosis classifier. The detailed analysis of MRI characteristics replenishes the understanding of medulloblastoma through a nuanced radiographic lens. Additionally, comparisons between East Asia and North America subsets highlight critical management implications. We made this comprehensive dataset, which includes MRI signatures, clinicopathological features, treatment variables, and survival data, publicly available to advance global medulloblastoma research.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"29 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462085","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":"Anti-tumor efficacy of HRS-4642 and its potential combination with proteasome inhibition in KRAS G12D-mutant cancer","authors":"Caicun Zhou, Chongyang Li, Libo Luo, Xin Li, Keyi Jia, Ning He, Shiqi Mao, Wanying Wang, Chuchu Shao, Xinyu Liu, Kan Huang, Yaxin Yu, Xinlei Cai, Yingxue Chen, Zican Dai, Wei Li, Jia Yu, Jiayu Li, Feng Shen, Zaiyong Wang, Shengxiang Ren","doi":"10.1016/j.ccell.2024.06.001","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.06.001","url":null,"abstract":"<p><em>KRAS G12D</em> is the most frequently mutated oncogenic <em>KRAS</em> subtype in solid tumors and remains undruggable in clinical settings. Here, we developed a high affinity, selective, long-acting, and non-covalent KRAS G12D inhibitor, HRS-4642, with an affinity constant of 0.083 nM. HRS-4642 demonstrated robust efficacy against <em>KRAS G12D</em>-mutant cancers both <em>in vitro</em> and <em>in vivo</em>. Importantly, in a phase 1 clinical trial, HRS-4642 exhibited promising anti-tumor activity in the escalating dosing cohorts. Furthermore, the sensitization and resistance spectrum for HRS-4642 was deciphered through genome-wide CRISPR-Cas9 screening, which unveiled proteasome as a sensitization target. We further observed that the proteasome inhibitor, carfilzomib, improved the anti-tumor efficacy of HRS-4642. Additionally, HRS-4642, either as a single agent or in combination with carfilzomib, reshaped the tumor microenvironment toward an immune-permissive one. In summary, this study provides potential therapies for patients with <em>KRAS G12D</em>-mutant cancers, for whom effective treatments are currently lacking.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"58 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462115","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}
Cancer CellPub Date : 2024-06-20DOI: 10.1016/j.ccell.2024.05.025
Gabriel Espinosa-Carrasco, Edison Chiu, Aurora Scrivo, Paul Zumbo, Asim Dave, Doron Betel, Sung Wook Kang, Hee-Jin Jang, Matthew D. Hellmann, Bryan M. Burt, Hyun-Sung Lee, Andrea Schietinger
{"title":"Intratumoral immune triads are required for immunotherapy-mediated elimination of solid tumors","authors":"Gabriel Espinosa-Carrasco, Edison Chiu, Aurora Scrivo, Paul Zumbo, Asim Dave, Doron Betel, Sung Wook Kang, Hee-Jin Jang, Matthew D. Hellmann, Bryan M. Burt, Hyun-Sung Lee, Andrea Schietinger","doi":"10.1016/j.ccell.2024.05.025","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.025","url":null,"abstract":"<p>Tumor-specific CD8<sup>+</sup> T cells are frequently dysfunctional and unable to halt tumor growth. We investigated whether tumor-specific CD4<sup>+</sup> T cells can be enlisted to overcome CD8<sup>+</sup> T cell dysfunction within tumors. We find that the spatial positioning and interactions of CD8<sup>+</sup> and CD4<sup>+</sup> T cells, but not their numbers, dictate anti-tumor responses in the context of adoptive T cell therapy as well as immune checkpoint blockade (ICB): CD4<sup>+</sup> T cells must engage with CD8<sup>+</sup> T cells on the same dendritic cell during the effector phase, forming a three-cell-type cluster (triad) to license CD8<sup>+</sup> T cell cytotoxicity and cancer cell elimination. When intratumoral triad formation is disrupted, tumors progress despite equal numbers of tumor-specific CD8<sup>+</sup> and CD4<sup>+</sup> T cells. In patients with pleural mesothelioma treated with ICB, triads are associated with clinical responses. Thus, CD4<sup>+</sup> T cells and triads are required for CD8<sup>+</sup> T cell cytotoxicity during the effector phase and tumor elimination.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"16 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141430733","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}
Cancer CellPub Date : 2024-06-20DOI: 10.1016/j.ccell.2024.05.026
Arnold Bolomsky, Michele Ceribelli, Sebastian Scheich, Kristina Rinaldi, Da Wei Huang, Papiya Chakraborty, Lisette Pham, George W. Wright, Tony Hsiao, Vivian Morris, Jaewoo Choi, James D. Phelan, Ronald J. Holewinski, Thorkell Andresson, Jan Wisniewski, Deanna Riley, Stefania Pittaluga, Elizabeth Hill, Craig J. Thomas, Jagan Muppidi, Ryan M. Young
{"title":"IRF4 requires ARID1A to establish plasma cell identity in multiple myeloma","authors":"Arnold Bolomsky, Michele Ceribelli, Sebastian Scheich, Kristina Rinaldi, Da Wei Huang, Papiya Chakraborty, Lisette Pham, George W. Wright, Tony Hsiao, Vivian Morris, Jaewoo Choi, James D. Phelan, Ronald J. Holewinski, Thorkell Andresson, Jan Wisniewski, Deanna Riley, Stefania Pittaluga, Elizabeth Hill, Craig J. Thomas, Jagan Muppidi, Ryan M. Young","doi":"10.1016/j.ccell.2024.05.026","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.026","url":null,"abstract":"<p>Multiple myeloma (MM) is an incurable plasma cell malignancy that exploits transcriptional networks driven by IRF4. We employ a multi-omics approach to discover IRF4 vulnerabilities, integrating functional genomics screening, spatial proteomics, and global chromatin mapping. ARID1A, a member of the SWI/SNF chromatin remodeling complex, is required for IRF4 expression and functionally associates with IRF4 protein on chromatin. Deleting <em>Arid1a</em> in activated murine B cells disrupts IRF4-dependent transcriptional networks and blocks plasma cell differentiation. Targeting SWI/SNF activity leads to rapid loss of IRF4-target gene expression and quenches global amplification of oncogenic gene expression by MYC, resulting in profound toxicity to MM cells. Notably, MM patients with aggressive disease bear the signature of SWI/SNF activity, and SMARCA2/4 inhibitors remain effective in immunomodulatory drug (IMiD)-resistant MM cells. Moreover, combinations of SWI/SNF and MEK inhibitors demonstrate synergistic toxicity to MM cells, providing a promising strategy for relapsed/refractory disease.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"51 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141435864","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}
Cancer CellPub Date : 2024-06-20DOI: 10.1016/j.ccell.2024.05.023
Islam E. Elkholi, April A.N. Rose, Julio A. Aguirre-Ghiso, Jean-François Côté
{"title":"How can we integrate the biology of breast cancer cell dormancy into clinical practice?","authors":"Islam E. Elkholi, April A.N. Rose, Julio A. Aguirre-Ghiso, Jean-François Côté","doi":"10.1016/j.ccell.2024.05.023","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.023","url":null,"abstract":"<p>Clinical practice and clinical research heavily rely on primary tumors, circulating tumor DNA, and/or overt metastases as sources of material for predicting or investigating breast cancer metastatic relapses. However, these approaches do not consider emerging fundamentals in the biology of metastatic dormancy and relapse. Conversely, the field of metastatic dormancy often discounts key clinical factors influencing relapse dynamics (e.g., patient’s age and overall health condition). Here, we delineate these disparities into four gaps and propose a framework to bridge them.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"10 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141430724","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":"Neoadjuvant SHR-1701 with or without chemotherapy in unresectable stage III non-small-cell lung cancer: A proof-of-concept, phase 2 trial","authors":"Qing Zhou, Yi Pan, Xuening Yang, Yanqiu Zhao, Guang Han, Qingsong Pang, Zhenfa Zhang, Qifeng Wang, Jun Yao, Hui Wang, Weihua Yang, Baogang Liu, Qixun Chen, Xianghui Du, Kaican Cai, Baosheng Li, Yunchao Huang, Xiao Li, Li Song, Wei Shi, Yi-Long Wu","doi":"10.1016/j.ccell.2024.05.024","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.024","url":null,"abstract":"<p>We conducted a proof-of-concept, phase 2 trial to assess neoadjuvant SHR-1701 with or without chemotherapy, followed by surgery or radiotherapy, and then consolidation SHR-1701 in unresectable stage III non-small-cell lung cancer (NSCLC). In the primary cohort of patients receiving neoadjuvant combination therapy (<em>n</em> = 97), both primary endpoints were met, with a post-induction objective response rate of 58% (95% confidence interval [CI] 47–68) and an 18-month event-free survival (EFS) rate of 56.6% (95% CI 45.2–66.5). Overall, 27 (25%) patients underwent surgery; all achieved R0 resection. Among them, 12 (44%) major pathological responses and seven (26%) pathological complete responses were recorded. The 18-month EFS rate was 74.1% (95% CI 53.2–86.7) in surgical patients and 57.3% (43.0–69.3) in radiotherapy-treated patients. Neoadjuvant SHR-1701 with chemotherapy, followed by surgery or radiotherapy, showed promising efficacy with a tolerable safety profile in unresectable stage III NSCLC. Surgical conversion was feasible in a notable proportion of patients and associated with better survival outcomes.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"195 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141430713","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}
Cancer CellPub Date : 2024-06-13DOI: 10.1016/j.ccell.2024.05.022
Philippe Stevens, Elena Benidovskaya, Veronica Llorens-Rico, Jeroen Raes, Marc Van Den Eynde
{"title":"Bacteria in metastatic sites: Unveiling hidden players in cancer progression","authors":"Philippe Stevens, Elena Benidovskaya, Veronica Llorens-Rico, Jeroen Raes, Marc Van Den Eynde","doi":"10.1016/j.ccell.2024.05.022","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.022","url":null,"abstract":"<p>Bacteria exhibit key features of cancer metastasis, such as motility, invasion, and modulation of the tumor microenvironment. They migrate through lymphatic and blood systems, invade metastatic tissues, and alter local microenvironments to support metastatic growth. Bacteria also shape the tumor microenvironment, affecting immune responses and inflammation, which influence tumor progression and therapy response. While they hold therapeutic potential, challenges like contamination and complex characterization persist, necessitating advanced sequencing and research for clinical application.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"39 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315871","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}
Cancer CellPub Date : 2024-06-10DOI: 10.1016/j.ccell.2024.05.016
Chenyu Zhang, Alissa Bockman, Michel DuPage
{"title":"Breaking up the CD8+ T cell: Treg pas de deux","authors":"Chenyu Zhang, Alissa Bockman, Michel DuPage","doi":"10.1016/j.ccell.2024.05.016","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.016","url":null,"abstract":"<p>Checkpoint blockade immunotherapies, such as anti-programmed death-1 (PD-1), unleash anti-tumor CD8<sup>+</sup> T cell responses but may also induce immunosuppressive regulatory T cells (Tregs). In this issue of <em>Cancer Cell</em>, Geels et al. uncover that anti-PD-1 leads to Treg expansion via interleukin-2 (IL-2)-producing CD8<sup>+</sup> T cells. Combining anti-PD-1 with anti-ICOSL interrupts this crosstalk, thereby enhancing tumor control.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"1 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141299222","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}
Cancer CellPub Date : 2024-06-10DOI: 10.1016/j.ccell.2024.05.021
Moritz Gerstung, David Liu, Marzyeh Ghassemi, James Zou, Diego Chowell, Jonas Teuwen, Faisal Mahmood, Jakob Nikolas Kather
{"title":"Artificial intelligence","authors":"Moritz Gerstung, David Liu, Marzyeh Ghassemi, James Zou, Diego Chowell, Jonas Teuwen, Faisal Mahmood, Jakob Nikolas Kather","doi":"10.1016/j.ccell.2024.05.021","DOIUrl":"https://doi.org/10.1016/j.ccell.2024.05.021","url":null,"abstract":"<p>Experts discuss the challenges and opportunities of using artificial intelligence (AI) to study the evolution of cancer cells and their microenvironment, improve diagnosis, predict treatment response, and ensure responsible implementation in the clinic.</p>","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"27 1","pages":""},"PeriodicalIF":50.3,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141299182","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}