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Diniz CHDP, Henrique T, Stefanini ACB, De Castro TB, Tajara EH. Cetuximab chemotherapy resistance: Insight into the homeostatic evolution of head and neck cancer (Review). Oncol Rep 2024; 51:80. [PMID: 38639184 PMCID: PMC11056821 DOI: 10.3892/or.2024.8739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/03/2024] [Indexed: 04/20/2024] Open
Abstract
The complex evolution of genetic alterations in cancer that occurs in vivo is a selective process involving numerous factors and mechanisms. Chemotherapeutic agents that prevent the growth and spread of cancer cells induce selective pressure, leading to rapid artificial selection of resistant subclones. This rapid evolution is possible because antineoplastic drugs promote alterations in tumor‑cell metabolism, thus creating a bottleneck event. The few resistant cells that survive in this new environment obtain differential reproductive success that enables them to pass down the newly selected resistant gene pool. The present review aims to summarize key findings of tumor evolution, epithelial‑mesenchymal transition and resistance to cetuximab therapy in head and neck squamous cell carcinoma.
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Affiliation(s)
- Carlos Henrique De Paula Diniz
- Department of Molecular Biology, School of Medicine of São José do Rio Preto-FAMERP, São José do Rio Preto, São Paulo, SP 15090-000, Brazil
| | - Tiago Henrique
- Department of Molecular Biology, School of Medicine of São José do Rio Preto-FAMERP, São José do Rio Preto, São Paulo, SP 15090-000, Brazil
| | - Ana Carolina B. Stefanini
- Department of Molecular Biology, School of Medicine of São José do Rio Preto-FAMERP, São José do Rio Preto, São Paulo, SP 15090-000, Brazil
- Department of Experimental Research, Albert Einstein Education and Research Israeli Institute, IIEPAE, São Paulo, SP 05652-900, Brazil
| | - Tialfi Bergamin De Castro
- Department of Molecular Biology, School of Medicine of São José do Rio Preto-FAMERP, São José do Rio Preto, São Paulo, SP 15090-000, Brazil
- Microbial Pathogenesis Department, School of Dentistry, University of Maryland, Baltimore, MD 21201, USA
| | - Eloiza H. Tajara
- Department of Molecular Biology, School of Medicine of São José do Rio Preto-FAMERP, São José do Rio Preto, São Paulo, SP 15090-000, Brazil
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, SP 05508-090, Brazil
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Wu Y, Li Z, Lee AV, Oesterreich S, Luo B. Liver tropism of ER mutant breast cancer is characterized by unique molecular changes and immune infiltration. Breast Cancer Res Treat 2024; 205:371-386. [PMID: 38427312 DOI: 10.1007/s10549-024-07255-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/11/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE Hotspot estrogen receptor alpha (ER/ESR1) mutations are recognized as the driver for both endocrine resistance and metastasis in advanced ER-positive (ER+) breast cancer, but their contributions to metastatic organ tropism remain insufficiently understood. In this study, we aim to comprehensively profile the organotropic metastatic pattern for ESR1 mutant breast cancer. METHODS The organ-specific metastatic pattern of ESR1 mutant breast cancer was delineated using multi-omics data from multiple publicly available cohorts of ER+ metastatic breast cancer patients. Gene mutation/copy number variation (CNV) and differential gene expression analyses were performed to identify the genomic and transcriptomic alterations uniquely associated with ESR1 mutant liver metastasis. Upstream regulator, downstream pathway, and immune infiltration analysis were conducted for subsequent mechanistic investigations. RESULTS ESR1 mutation-driven liver tropism was revealed by significant differences, encompassing a higher prevalence of liver metastasis in patients with ESR1 mutant breast cancer and an enrichment of mutations in liver metastatic samples. The significant enrichment of AGO2 copy number amplifications (CNAs) and multiple gene expression changes were revealed uniquely in ESR1 mutant liver metastasis. We also unveiled alterations in downstream signaling pathways and immune infiltration, particularly an enrichment of neutrophils, suggesting potential therapeutic vulnerabilities. CONCLUSION Our data provide a comprehensive characterization of the behaviors and mechanisms of ESR1 mutant liver metastasis, paving the way for the development of personalized therapy to target liver metastasis for patients with ESR1 mutant breast cancer.
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Affiliation(s)
- Yang Wu
- School of Medicine, Tsinghua University, Beijing, China
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Zheqi Li
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adrian V Lee
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
- Institute for Precision Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steffi Oesterreich
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bin Luo
- Department of General Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, 102218, China.
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Cervantes-Villagrana RD, Mendoza V, Hinck CS, de la Fuente-León RL, Hinck AP, Reyes-Cruz G, Vázquez-Prado J, López-Casillas F. Betaglycan sustains HGF/Met signaling in lung cancer and endothelial cells promoting cell migration and tumor growth. Heliyon 2024; 10:e30520. [PMID: 38756586 PMCID: PMC11096750 DOI: 10.1016/j.heliyon.2024.e30520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
Persistent HGF/Met signaling drives tumor growth and dissemination. Proteoglycans within the tumor microenvironment might control HGF availability and signaling by affecting its accessibility to Met (HGF receptor), likely defining whether acute or sustained HGF/Met signaling cues take place. Given that betaglycan (BG, also known as type III TGFβ receptor or TGFBR3), a multi-faceted proteoglycan TGFβ co-receptor, can be found within the tumor microenvironment, we addressed its hypothetical role in oncogenic HGF signaling. We found that HGF/Met promotes lung cancer and endothelial cells migration via PI3K and mTOR. This effect was enhanced by recombinant soluble betaglycan (solBG) via a mechanism attributable to its glycosaminoglycan chains, as a mutant without them did not modulate HGF effects. Moreover, soluble betaglycan extended the effect of HGF-induced phosphorylation of Met, Akt, and Erk, and membrane recruitment of the RhoGEF P-Rex1. Data-mining analysis of lung cancer patient datasets revealed a significant correlation between high MET receptor, HGF, and PREX1 expression and reduced patient survival. Soluble betaglycan showed biochemical interaction with HGF and, together, they increased tumor growth in immunocompetent mice. In conclusion, the oncogenic properties of the HGF/Met pathway are enhanced and sustained by GAG-containing soluble betaglycan.
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Affiliation(s)
| | - Valentín Mendoza
- Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Cynthia S. Hinck
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Andrew P. Hinck
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | | | - Fernando López-Casillas
- Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Mexico City, Mexico
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4
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Guan C, Zhang X, Yu L. A Review of Recent Advances in the Molecular Mechanisms Underlying Brain Metastasis in Lung Cancer. Mol Cancer Ther 2024; 23:627-637. [PMID: 38123448 DOI: 10.1158/1535-7163.mct-23-0416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/26/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
Brain metastasis from lung cancer is a prevalent mode of treatment failure associated with a poor prognosis. The incidence of brain metastasis has recently shown a dramatic increase. The early detection and risk stratification of lung cancer-related brain metastasis would be highly advantageous for patients. However, our current knowledge and comprehension of the underlying mechanisms driving brain metastasis in lung cancer pose significant challenges. This review summarizes the mechanisms underlying brain metastasis, focusing on the intricate interplay between lung cancer-derived tumor cells and the unique characteristics of the brain, recent advancements in the identification of driver genes, concomitant genes, epigenetic features, including miRNAs and long noncoding RNAs, as well as the molecular characterization of brain metastasis originating from other organs, which may further enhance risk stratification and facilitate precise treatment strategies.
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Affiliation(s)
- Chao Guan
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoye Zhang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Li Yu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China
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Karras P, Black JRM, McGranahan N, Marine JC. Decoding the interplay between genetic and non-genetic drivers of metastasis. Nature 2024; 629:543-554. [PMID: 38750233 DOI: 10.1038/s41586-024-07302-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 03/12/2024] [Indexed: 05/18/2024]
Abstract
Metastasis is a multistep process by which cancer cells break away from their original location and spread to distant organs, and is responsible for the vast majority of cancer-related deaths. Preventing early metastatic dissemination would revolutionize the ability to fight cancer. Unfortunately, the relatively poor understanding of the molecular underpinnings of metastasis has hampered the development of effective anti-metastatic drugs. Although it is now accepted that disseminating tumour cells need to acquire multiple competencies to face the many obstacles they encounter before reaching their metastatic site(s), whether these competencies are acquired through an accumulation of metastasis-specific genetic alterations and/or non-genetic events is often debated. Here we review a growing body of literature highlighting the importance of both genetic and non-genetic reprogramming events during the metastatic cascade, and discuss how genetic and non-genetic processes act in concert to confer metastatic competencies. We also describe how recent technological advances, and in particular the advent of single-cell multi-omics and barcoding approaches, will help to better elucidate the cross-talk between genetic and non-genetic mechanisms of metastasis and ultimately inform innovative paths for the early detection and interception of this lethal process.
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Affiliation(s)
- Panagiotis Karras
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - James R M Black
- Cancer Genome Evolution Research Group, UCL Cancer Institute, London, UK
| | | | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium.
- Department of Oncology, KU Leuven, Leuven, Belgium.
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Gupta A, Gazzo A, Selenica P, Safonov A, Pareja F, da Silva EM, Brown DN, Zhu Y, Patel J, Blanco-Heredia J, Stefanovska B, Carpenter MA, Pei X, Frosina D, Jungbluth AA, Ladanyi M, Curigliano G, Weigelt B, Riaz N, Powell SN, Razavi P, Harris RS, Reis-Filho JS, Marra A, Chandarlapaty S. APOBEC3 mutagenesis drives therapy resistance in breast cancer. bioRxiv 2024:2024.04.29.591453. [PMID: 38746158 PMCID: PMC11092499 DOI: 10.1101/2024.04.29.591453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Acquired genetic alterations commonly drive resistance to endocrine and targeted therapies in metastatic breast cancer 1-7 , however the underlying processes engendering these diverse alterations are largely uncharacterized. To identify the mutational processes operant in breast cancer and their impact on clinical outcomes, we utilized a well-annotated cohort of 3,880 patient samples with paired tumor-normal sequencing data. The mutational signatures associated with apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) enzymes were highly prevalent and enriched in post-treatment compared to treatment-naïve hormone receptor-positive (HR+) cancers. APOBEC3 mutational signatures were independently associated with shorter progression-free survival on antiestrogen plus CDK4/6 inhibitor combination therapy in patients with HR+ metastatic breast cancer. Whole genome sequencing (WGS) of breast cancer models and selected paired primary-metastatic samples demonstrated that active APOBEC3 mutagenesis promoted resistance to both endocrine and targeted therapies through characteristic alterations such as RB1 loss-of-function mutations. Evidence of APOBEC3 activity in pre-treatment samples illustrated a pervasive role for this mutational process in breast cancer evolution. The study reveals APOBEC3 mutagenesis to be a frequent mediator of therapy resistance in breast cancer and highlights its potential as a biomarker and target for overcoming resistance.
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7
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Li Q, Jiang M, Hong S, Yang J, Wu X, Pang J, Chen Y, Zhao X, Ding X. Comprehensive genomic and clinical analyses identify APOBEC mutational signatures as a brain metastasis risk factor in lung adenocarcinoma patients. Transl Oncol 2024; 43:101921. [PMID: 38402722 PMCID: PMC10904272 DOI: 10.1016/j.tranon.2024.101921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/08/2024] [Accepted: 02/19/2024] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND Lung adenocarcinoma is the most common source of brain metastasis (BM), resulting in significant morbidity and mortality. We aimed to identify patients with high BM risk who possibly benefit from brain-penetrant drugs, prophylactic cranial irradiation, or close brain magnetic resonance imaging surveillance. METHODS Metastatic lung adenocarcinoma patients with extracranial tumor samples profiled by a next-generation sequencing panel targeting 425 tumor-related genes were retrospectively enrolled between February 2008 and July 2021. We compared BM and non-BM patients' genomic and clinical features and studied their associations with BM risk. Two external cohorts were used for result validation and molecular mechanisms investigation, respectively. RESULTS We included 174 eligible patients, including 90 having developed BM by the end of follow-up. Age≤60, EGFR activating mutations, and high-level apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like (APOBEC) mutational signatures were associated with elevated BM risk. Similar findings in BM-free survival were obtained by fitting Fine-Gray subdistribution hazard models addressing competing risks. Increased BM risk related to APOBEC mutational signatures was validated in an external cohort (N = 440). RNA sequencing data analyses performed in another external cohort (N = 230) revealed that expressions of metastasis-related pathways such as transforming growth factor (TGF)β and epithelial-mesenchymal transition (EMT) were upregulated in the patients with high-level APOBEC mutational signatures. CONCLUSION APOBEC mutational signatures related to upregulated TGFβ and EMT, could serve as an independent risk factor for BM and BM-free survival in metastatic lung adenocarcinoma patients. Further investigations are warranted to tailor personalized treatments to improve the susceptible patient's outcomes.
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Affiliation(s)
- Qiang Li
- Cancer Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China; Cancer Center, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China
| | - Meng Jiang
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China; Department of Neurosurgery, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China
| | - Shiqiang Hong
- Cancer Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China; Cancer Center, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China
| | - Jing Yang
- Cancer Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China; Cancer Center, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China
| | - Xiaoying Wu
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Jiaohui Pang
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Yedan Chen
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Xiaotian Zhao
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Xiao Ding
- Cancer Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China; Cancer Center, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China.
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Li T, Liu J, Zhou Y, Huang S, Wang D, Chen J, Fu Y, He P. Clinical relevance of somatic mutations in Chinese lung adenocarcinoma and their prognostic implications for survival. Cancer Med 2024; 13:e7227. [PMID: 38770632 DOI: 10.1002/cam4.7227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 04/07/2024] [Accepted: 04/18/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND To comprehensively elucidate the genomic and mutational features of lung cancer cases, and lung adenocarcinoma (LUAD), it is imperative to conduct ongoing investigations into the genomic landscape. In this study, we aim to analyze the somatic mutation profile and assessed the significance of these informative genes utilizing a retrospective LUAD cohort. METHODS A total of 247 Chinese samples were analyzed to exhibit the tumor somatic genomic alterations in patients with LUAD. The Cox regression analysis was employed to identify prognosis-related genes and establish a predictive model for stratifying patients with LUAD. RESULTS In the Dianjiang People's Hospital (DPH) cohort, the top five frequent mutated genes were (Epidermal growth factor receptor) EGFR (68%), TP53 (30%), RBM10 (13%), LRP1B (9%), and KRAS (9%). Of which, EGFR is a mostly altered driver gene, and most mutation sites are located in tyrosine kinase regions. Oncogene pathway alteration and mutation signature analysis demonstrated the RTK-RAS pathway alteration, and smoking was the main carcinogenic factor of the DPH cohort. Furthermore, we identified 34 driver genes in the DPH cohort, including EGFR (68%), TP53 (30.4%), RBM10 (12.6%), KRAS (8.5%), LRP1B (8.5%), and so on, and 45 Clinical Characteristic-Related Genes (CCRGs) were found to closely related to the clinical high-risk factors. We developed a Multiple Parameter Gene Mutation (MPGM) risk model by integrating critical genes and oncogenic pathway alterations in LUAD patients from the DPH cohort. Based on publicly available LUAD datasets, we identified five genes, including BRCA2, Anaplastic lymphoma kinase (ALK), BRAF, EGFR, and Platelet-Derived Growth Factor Receptor Alpha (PDGFRA), according to the multivariable Cox regression analysis. The MPGM-low group showed significantly better overall survival (OS) compared to the MPGM-high group (p < 0.0001, area under the curve (AUC) = 0.754). The robust performance was validated in 55 LUAD patients from the DPH cohort and another LUAD dataset. Immune characteristics analysis revealed a higher proportion of primarily DCs and mononuclear cells in the MPGM-low risk group, while the MPGM-high risk group showed lower immune cells and higher tumor cell infiltration. CONCLUSION This study provides a comprehensive genomic landscape of Chinese LUAD patients and develops an MPGM risk model for LUAD prognosis stratification. Further follow-up will be performed for the patients in the DPH cohort consistently to explore the resistance and prognosis genetic features.
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Affiliation(s)
- Tongxin Li
- Department of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China
| | - Jie Liu
- Department of Thoracic Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yu Zhou
- Department of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China
| | - Shengyuan Huang
- Department of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China
| | - Dong Wang
- Department of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China
| | - Jianrong Chen
- Department of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China
| | - Yong Fu
- Department of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China
| | - Ping He
- Department of Cardiac Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Lambert AW, Zhang Y, Weinberg RA. Cell-intrinsic and microenvironmental determinants of metastatic colonization. Nat Cell Biol 2024; 26:687-697. [PMID: 38714854 DOI: 10.1038/s41556-024-01409-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/21/2024] [Indexed: 05/18/2024]
Abstract
Cancer metastasis is a biologically complex process that remains a major challenge in the oncology clinic, accounting for nearly all of the mortality associated with malignant neoplasms. To establish metastatic growths, carcinoma cells must disseminate from the primary tumour, survive in unfamiliar tissue microenvironments, re-activate programs of proliferation, and escape innate and adaptive immunosurveillance. The entire process is extremely inefficient and can occur over protracted timescales, yielding only a vanishingly small number of carcinoma cells that are able to complete all of the required steps. Here we review both the cancer-cell-intrinsic mechanisms and microenvironmental interactions that enable metastatic colonization. In particular, we highlight recent work on the behaviour of already-disseminated tumour cells, since meaningful progress in treating metastatic disease will clearly require a better understanding of the cells that spawn metastases, which generally have disseminated by the time of initial diagnosis.
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Affiliation(s)
- Arthur W Lambert
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA, USA
| | - Yun Zhang
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Robert A Weinberg
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- MIT Ludwig Center, Cambridge, MA, USA.
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Moffat GT, Hu ZI, Meric-Bernstam F, Kong EK, Pavlick D, Ross JS, Murugesan K, Kwong L, De Armas AD, Korkut A, Javle M, Knox JJ. KRAS Allelic Variants in Biliary Tract Cancers. JAMA Netw Open 2024; 7:e249840. [PMID: 38709532 DOI: 10.1001/jamanetworkopen.2024.9840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/07/2024] Open
Abstract
Importance Biliary tract cancers (BTCs) contain several actionable molecular alterations, including FGFR2, IDH1, ERBB2 (formerly HER2), and KRAS. KRAS allelic variants are found in 20% to 30% of BTCs, and multiple KRAS inhibitors are currently under clinical investigation. Objectives To describe the genomic landscape, co-sequence variations, immunophenotype, genomic ancestry, and survival outcomes of KRAS-mutated BTCs and to calculate the median overall survival (mOS) for the most common allelic variants. Design, Setting, and Participants This retrospective, multicenter, pooled cohort study obtained clinical and next-generation sequencing data from multiple databases between January 1, 2017, and December 31, 2022. These databases included Princess Margaret Cancer Centre, MD Anderson Cancer Center, Foundation Medicine, American Association for Cancer Research Project GENIE, and cBioPortal for Cancer Genomics. The cohort comprised patients with BTCs who underwent genomic testing. Main Outcome and Measure The main outcome was mOS, defined as date of diagnosis to date of death, which was measured in months. Results A total of 7457 patients (n = 3773 males [50.6%]; mean [SD] age, 63 [5] years) with BTCs and genomic testing were included. Of these patients, 5813 had clinical outcome data available, in whom 1000 KRAS-mutated BTCs were identified. KRAS allelic variants were highly prevalent in perihilar cholangiocarcinoma (28.6%) and extrahepatic cholangiocarcinoma (36.1%). Thirty-six KRAS allelic variants were identified, and the prevalence rates in descending order were G12D (41%), G12V (23%), and Q61H (8%). The variant G12D had the highest mOS of 25.1 (95% CI, 22.0-33.0) months compared with 22.8 (95% CI, 19.6-31.4) months for Q61H and 17.8 (95% CI, 16.3-23.1) months for G12V variants. The majority of KRAS-mutated BTCs (98.9%) were not microsatellite instability-high and had low tumor mutational burden (ranging from a median [IQR] of 1.2 (1.2-2.5) to a mean [SD] of 3.3 [1.3]). Immune profiling through RNA sequencing of KRAS and NRAS-mutated samples showed a pattern toward a more immune-inflamed microenvironment with higher M1 macrophage activation (0.16 vs 0.12; P = .047) and interferon-γ expression compared with wild-type tumors. The G12D variant remained the most common KRAS allelic variant in all patient ancestries. Patients with admixed American ancestry had the highest proportion of G12D variant (45.0%). Conclusions and Relevance This cohort study found that KRAS allelic variants were relatively common and may be potentially actionable genomic alterations in patients with BTCs, especially perihilar cholangiocarcinoma and extrahepatic cholangiocarcinoma. The findings add to the growing data on genomic and immune landscapes of KRAS allelic variants in BTCs and are potentially of value to the planning of specific therapies for this heterogeneous patient group.
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Affiliation(s)
- Gordon Taylor Moffat
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Zishuo Ian Hu
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Funda Meric-Bernstam
- Department of Developmental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston
| | - Elisabeth Kathleen Kong
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston
| | - Dean Pavlick
- Foundation Medicine Inc, Cambridge, Massachusetts
| | - Jeffrey S Ross
- Foundation Medicine Inc, Cambridge, Massachusetts
- State University of New York Upstate Medical University, Syracuse
| | | | - Lawrence Kwong
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston
| | - Anaemy Danner De Armas
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston
| | - Milind Javle
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Jennifer J Knox
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
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Mastronikolis NS, Delides A, Kyrodimos E, Piperigkou Z, Spyropoulou D, Giotakis E, Tsiambas E, Karamanos NK. Insights into metastatic roadmap of head and neck cancer squamous cell carcinoma based on clinical, histopathological and molecular profiles. Mol Biol Rep 2024; 51:597. [PMID: 38683372 PMCID: PMC11058607 DOI: 10.1007/s11033-024-09476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/25/2024] [Indexed: 05/01/2024]
Abstract
The incidence of head and neck cancer (HNC), constituting approximately one in ten cancer cases worldwide, affects approximately 644,000 individuals annually. Managing this complex disease involves various treatment modalities such as systemic therapy, radiation, and surgery, particularly for patients with locally advanced disease. HNC treatment necessitates a multidisciplinary approach due to alterations in patients' genomes affecting their functionality. Predominantly, squamous cell carcinomas (SCCs), the majority of HNCs, arise from the upper aerodigestive tract epithelium. The epidemiology, staging, diagnosis, and management techniques of head and neck squamous cell carcinoma (HNSCC), encompassing clinical, image-based, histopathological and molecular profiling, have been extensively reviewed. Lymph node metastasis (LNM) is a well-known predictive factor for HNSCC that initiates metastasis and significantly impacts HNSCC prognosis. Distant metastasis (DM) in HNSCC has been correlated to aberrant expression of cancer cell-derived cytokines and growth factors triggering abnormal activation of several signaling pathways that boost cancer cell aggressiveness. Recent advances in genetic profiling, understanding tumor microenvironment, oligometastatic disease, and immunotherapy have revolutionized treatment strategies and disease control. Future research may leverage genomics and proteomics to identify biomarkers aiding individualized HNSCC treatment. Understanding the molecular basis, genetic landscape, atypical signaling pathways, and tumor microenvironment have enhanced the comprehension of HNSCC molecular etiology. This critical review sheds light on regional and distant metastases in HNSCC, presenting major clinical and laboratory features, predictive biomarkers, and available therapeutic approaches.
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Affiliation(s)
- Nicholas S Mastronikolis
- Department of Otorhinolaryngology - Head and Neck Surgery, School of Medicine, University of Patras, Patras, 26504, Greece.
| | - Alexander Delides
- 2nd Otolaryngology Department, School of Medicine, National & Kapodistrian University of Athens, 'Attikon' University Hospital, Rimini 1, Athens, 12462, Greece
| | - Efthymios Kyrodimos
- 1st Otolaryngology Department, School of Medicine, National & Kapodistrian University of Athens, 'Ippokrateion' General Hospital, Athens, Greece
| | - Zoi Piperigkou
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Patras, 26504, Greece
| | - Despoina Spyropoulou
- Department of Radiation Oncology, Medical School, University of Patras, Patras, 26504, Greece
| | - Evangelos Giotakis
- 1st Otolaryngology Department, School of Medicine, National & Kapodistrian University of Athens, 'Ippokrateion' General Hospital, Athens, Greece
| | | | - Nikos K Karamanos
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Patras, 26504, Greece
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12
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Xu P, Gao Y, Jiang S, Cui Y, Xie Y, Kang Z, Chen YX, Sun D, Fang JY. CHEK2 deficiency increase the response to PD-1 inhibitors by affecting the tumor immune microenvironment. Cancer Lett 2024; 588:216595. [PMID: 38097135 DOI: 10.1016/j.canlet.2023.216595] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/13/2023] [Accepted: 12/06/2023] [Indexed: 03/12/2024]
Abstract
Immune checkpoint blockade (ICB) therapy has improved treatment effects in multiple cancers. Gene mutations in the DNA damage repair pathway (DDR) may cause genomic instability and may relate to the efficacy of ICB. Checkpoint kinase 2 (CHEK2) and polymerase epsilon (POLE) are important genes in the DDR. In this study, we aimed to study the impact of CHEK2 deficiency mutations on the response to ICB. We found that tumors with CHEK2 mutations had a significantly higher tumor mutational burden (TMB) compared to those with CHEK2-WT in a pancancer database. We noted that CHEK2 deficiency mutations potentiated the anti-tumor effect of anti-PD-1 therapy in MC38 and B16 tumor-bearing mice with the decrease of tumor volume and tumor weight after anti-PD-1 treatment. Mechanistically, CHEK2 deficiency tumors were with the increased cytotoxic CD8+ T-cell infiltration, especially cytotoxic CD8+ T cells, and modulated the tumor-immune microenvironment with an upregulated immune inflammatory pathway and antigen presentation pathway after anti-PD-1 treatment. Furthermore, murine models with POLE mutations confirmed that CHEK2 deficiency shaped similar mutational and immune landscapes as POLE mutations after anti-PD-1 treatment. Taken together, our results demonstrated that CHEK2 deficiency mutations may increase the response to ICB (eg. anti-PD-1) by influencing the tumor immune microenvironment. This indicated that CHEK2 deficiency mutations were a potentially predictive biomarker and CHEK2 deficiency may potentiate response to immunotherapy.
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Affiliation(s)
- Pingping Xu
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yaqi Gao
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shanshan Jiang
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Cui
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanhong Xie
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ziran Kang
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying-Xuan Chen
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Danfeng Sun
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jing-Yuan Fang
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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13
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Carrolo M, Miranda JAI, Vilhais G, Quintela A, Sousa MFE, Costa DA, Pinto FR. Metastatic organotropism: a brief overview. Front Oncol 2024; 14:1358786. [PMID: 38725618 PMCID: PMC11079203 DOI: 10.3389/fonc.2024.1358786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/12/2024] [Indexed: 05/12/2024] Open
Abstract
Organotropism has been known since 1889, yet this vital component of metastasis has predominantly stayed elusive. This mini-review gives an overview of the current understanding of the underlying mechanisms of organotropism and metastases development by focusing on the formation of the pre-metastatic niche, immune defenses against metastases, and genomic alterations associated with organotropism. The particular case of brain metastases is also addressed, as well as the impact of organotropism in cancer therapy. The limited comprehension of the factors behind organotropism underscores the necessity for efficient strategies and treatments to manage metastases.
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Affiliation(s)
| | - João A. I. Miranda
- BioISI – Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
| | | | - António Quintela
- Hematology and Oncology Department, CUF Oncologia, Lisbon, Portugal
| | | | - Diogo Alpuim Costa
- Hematology and Oncology Department, CUF Oncologia, Lisbon, Portugal
- Medical Oncology Department, Hospital de Cascais, Cascais, Portugal
- NOVA Medical School, Faculdade de Ciências Médicas, Lisbon, Portugal
| | - Francisco R. Pinto
- BioISI – Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
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14
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Wong CC, Yu J. Mapping the pancancer metastasis tumor microbiome. Cell 2024; 187:2126-2128. [PMID: 38670070 DOI: 10.1016/j.cell.2024.03.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 03/26/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
The landscape of the intratumoral microbiome in tumor metastases is largely unchartered. In this issue of Cell, Voest et al. profiled the tumor metastasis-associated microbiome in a pancancer cohort of 4,160 biopsies from 26 cancer types. This dataset offers a useful resource for understanding the role of the microbiome in metastatic cancers.
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Affiliation(s)
- Chi Chun Wong
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jun Yu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
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15
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Nguyen PN. Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways. BMC Bioinformatics 2024; 25:149. [PMID: 38609844 DOI: 10.1186/s12859-024-05755-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Biomarker discovery is a challenging task due to the massive search space. Quantum computing and quantum Artificial Intelligence (quantum AI) can be used to address the computational problem of biomarker discovery from genetic data. METHOD We propose a Quantum Neural Networks architecture to discover genetic biomarkers for input activation pathways. The Maximum Relevance-Minimum Redundancy criteria score biomarker candidate sets. Our proposed model is economical since the neural solution can be delivered on constrained hardware. RESULTS We demonstrate the proof of concept on four activation pathways associated with CTLA4, including (1) CTLA4-activation stand-alone, (2) CTLA4-CD8A-CD8B co-activation, (3) CTLA4-CD2 co-activation, and (4) CTLA4-CD2-CD48-CD53-CD58-CD84 co-activation. CONCLUSION The model indicates new genetic biomarkers associated with the mutational activation of CLTA4-associated pathways, including 20 genes: CLIC4, CPE, ETS2, FAM107A, GPR116, HYOU1, LCN2, MACF1, MT1G, NAPA, NDUFS5, PAK1, PFN1, PGAP3, PPM1G, PSMD8, RNF213, SLC25A3, UBA1, and WLS. We open source the implementation at: https://github.com/namnguyen0510/Biomarker-Discovery-with-Quantum-Neural-Networks .
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Affiliation(s)
- Phuong-Nam Nguyen
- Faculty of Computer Science, PHENIKAA University, Yen Nghia, Ha Dong, Hanoi, 12116, Vietnam.
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16
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Butler G, Amend SR, Axelrod R, Venditti C, Pienta KJ. Punctuational evolution is pervasive in distal site metastatic colonization. bioRxiv 2024:2024.04.08.588529. [PMID: 38645078 PMCID: PMC11030309 DOI: 10.1101/2024.04.08.588529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The evolution of metastasis represents a lethal stage of cancer progression. Yet, the evolutionary kinetics of metastatic disease remain unresolved. Here, using single cell CRISPR-Cas9 lineage tracing data, we show that in metastatic disease, gradual molecular evolution is punctuated by episodes of rapid evolutionary change associated with lineage divergence. By measuring punctuational effects across the metastatic cascade, we show that punctuational effects contribute more to the molecular diversity at distal site metastases compared to the paired primary tumor, suggesting qualitatively different modes of evolution may drive primary and metastatic tumor progression. This is the first empirical evidence for distinct patterns of molecular evolution at early and late stages of metastasis and demonstrates the complex interplay of cell intrinsic and extrinsic factors that shape lethal cancer.
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17
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Guerrero Zuniga A, Aikin TJ, McKenney C, Lendner Y, Phung A, Hook PW, Meltzer A, Timp W, Regot S. Sustained ERK signaling promotes G2 cell cycle exit and primes cells for whole-genome duplication. Dev Cell 2024:S1534-5807(24)00200-4. [PMID: 38640927 DOI: 10.1016/j.devcel.2024.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/30/2024] [Accepted: 03/25/2024] [Indexed: 04/21/2024]
Abstract
Whole-genome duplication (WGD) is a frequent event in cancer evolution that fuels chromosomal instability. WGD can result from mitotic errors or endoreduplication, yet the molecular mechanisms that drive WGD remain unclear. Here, we use live single-cell analysis to characterize cell-cycle dynamics upon aberrant Ras-ERK signaling. We find that sustained ERK signaling in human cells leads to reactivation of the APC/C in G2, resulting in tetraploid G0-like cells that are primed for WGD. This process is independent of DNA damage or p53 but dependent on p21. Transcriptomics analysis and live-cell imaging showed that constitutive ERK activity promotes p21 expression, which is necessary and sufficient to inhibit CDK activity and which prematurely activates the anaphase-promoting complex (APC/C). Finally, either loss of p53 or reduced ERK signaling allowed for endoreduplication, completing a WGD event. Thus, sustained ERK signaling-induced G2 cell cycle exit represents an alternative path to WGD.
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Affiliation(s)
- Adler Guerrero Zuniga
- Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Biochemistry, Cellular and Molecular Biology Graduate Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Timothy J Aikin
- Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Biochemistry, Cellular and Molecular Biology Graduate Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Connor McKenney
- Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Biochemistry, Cellular and Molecular Biology Graduate Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yovel Lendner
- Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alain Phung
- Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Paul W Hook
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21205, USA
| | - Amy Meltzer
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21205, USA
| | - Winston Timp
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21205, USA
| | - Sergi Regot
- Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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18
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Han Z, Song C, Li D, Zhu W, Sun J, Yao J, Gan W, Wang F, Yang X, Zhu L. KMT2A Mutations and High Prevalence of dMMR-associated Mutational Signatures as Prognostic Indicators in Metastatic Colorectal Cancer. J Cancer 2024; 15:3140-3150. [PMID: 38706918 PMCID: PMC11064249 DOI: 10.7150/jca.94410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 03/17/2024] [Indexed: 05/07/2024] Open
Abstract
The conventional treatment strategies for patients with metastatic colorectal cancer (mCRC) are predominantly guided by the status of RAS and BRAF mutations. Although patients may exhibit analogous pathological characteristics and undergo similar treatment regimens, notable disparities in their prognostic outcomes can be observed. Therefore, tissue and plasma samples from 40 mCRC patients underwent next-generation sequencing targeting 425 cancer-relevant genes. Genomic variations and canonical oncogenic pathways were investigated for their prognostic effects in association with progression-free survival (PFS) of these patients. We found that patients with BRCA2 and KMT2A mutations exhibited worse prognostic outcomes after chemotherapy-based treatment (univariate, P < 0.01). Further pathway analysis indicated that alterations in the homologous recombination pathway and in the KMT2A signaling network were also significantly associated with shortened PFS (univariate, P < 0.01). Additionally, mutation signature analysis showed that patients with higher proportions of defective mismatch repair (dMMR)-related mutational signatures. Had a worse prognosis (univariate, P = 0.02). KMT2A mutations (hazard ratio [HR], 4.47; 95% confidence interval [CI], 1-19.93; P =0.050) and dMMR signature proportions (HR, 3.57; 95% CI, 1.42-8.96; P = 0.007) remained independently associated with PFS after multivariate analysis and the results were further externally validated. These findings may enhance our understanding of this disease and may potentially facilitate the optimization of its treatment approaches.
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Affiliation(s)
- Zhihang Han
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Chuanjun Song
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
- Xinghua People's Hospital Affiliated to Yangzhou University, No. 419 Yingwu South Road, Xinghua, Jiangsu, 225700, China
| | - Dongqing Li
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Weiyou Zhu
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Jiukang Sun
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Jialing Yao
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Wenyuan Gan
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Fufeng Wang
- Nanjing Geneseeq Technology Inc, Nanjing, Jiangsu Province, 210018, China
| | - Xiaodong Yang
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
| | - Lingjun Zhu
- The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province,210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu Province, 210029, China
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19
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Lin CJ, Jin X, Ma D, Chen C, Ou-Yang Y, Pei YC, Zhou CZ, Qu FL, Wang YJ, Liu CL, Fan L, Hu X, Shao ZM, Jiang YZ. Genetic interactions reveal distinct biological and therapeutic implications in breast cancer. Cancer Cell 2024; 42:701-719.e12. [PMID: 38593782 DOI: 10.1016/j.ccell.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 01/16/2024] [Accepted: 03/13/2024] [Indexed: 04/11/2024]
Abstract
Co-occurrence and mutual exclusivity of genomic alterations may reflect the existence of genetic interactions, potentially shaping distinct biological phenotypes and impacting therapeutic response in breast cancer. However, our understanding of them remains limited. Herein, we investigate a large-scale multi-omics cohort (n = 873) and a real-world clinical sequencing cohort (n = 4,405) including several clinical trials with detailed treatment outcomes and perform functional validation in patient-derived organoids, tumor fragments, and in vivo models. Through this comprehensive approach, we construct a network comprising co-alterations and mutually exclusive events and characterize their therapeutic potential and underlying biological basis. Notably, we identify associations between TP53mut-AURKAamp and endocrine therapy resistance, germline BRCA1mut-MYCamp and improved sensitivity to PARP inhibitors, and TP53mut-MYBamp and immunotherapy resistance. Furthermore, we reveal that precision treatment strategies informed by co-alterations hold promise to improve patient outcomes. Our study highlights the significance of genetic interactions in guiding genome-informed treatment decisions beyond single driver alterations.
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Affiliation(s)
- Cai-Jin Lin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xi Jin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ding Ma
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Chao Chen
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yang Ou-Yang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yu-Chen Pei
- Precision Cancer Medical Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Chao-Zheng Zhou
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Fei-Lin Qu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yun-Jin Wang
- Precision Cancer Medical Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Cheng-Lin Liu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Lei Fan
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xin Hu
- Precision Cancer Medical Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Yi-Zhou Jiang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
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20
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Petrella F, Danuzzo F, Sibilia MC, Vaquer S, Longarini R, Guidi A, Raveglia F, Libretti L, Pirondini E, Cara A, Cassina EM, Tuoro A, Cortinovis D. Colorectal Cancer Pulmonary Metastasectomy: When, Why and How. Cancers (Basel) 2024; 16:1408. [PMID: 38611086 PMCID: PMC11010871 DOI: 10.3390/cancers16071408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
Colorectal cancer is the third-most-diagnosed cancer in males and in females, representing 8% of estimated new cases, and the third cause of cancer-related death in both sexes, accounting for 9% of cancer deaths in men and 8% in women. About 20% of patients diagnosed with CRC present metastatic disease. Although lung metachronous or synchronous metastatic spread without other involved sites has been reported in only a small proportion of patients, considering that this tumor is frequently diagnosed, the clinical approach to CRC pulmonary metastases represents a major issue for thoracic surgeons and CRC oncologists. Among patients diagnosed with pulmonary metastases from CRC, about 9-12% are eligible for local treatments with radical intent, including surgical resection, SBRT (stereotactic body radiation therapy) and ablation therapy. Due to the lack of randomized controlled trials among different local strategies, there is no definitive evidence about the optimal approach, although surgical resection is considered the most effective therapeutic option in this clinical scenario. Oncological achievement of primary radical resection, the biology of primary tumor and metastatic sites, disease free interval and or progression free survival are independent prognostic factors which make it possible to define a cohort of patients which might significantly benefit from pulmonary metastasectomy.
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Affiliation(s)
- Francesco Petrella
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Federica Danuzzo
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Maria Chiara Sibilia
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Sara Vaquer
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Raffaella Longarini
- Division of Medical Oncology, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (R.L.); or (D.C.)
| | - Alessandro Guidi
- Division of Medical Oncology, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (R.L.); or (D.C.)
| | - Federico Raveglia
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Lidia Libretti
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Emanuele Pirondini
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Andrea Cara
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Enrico Mario Cassina
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Antonio Tuoro
- Division of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (F.D.); (M.C.S.); (S.V.); (L.L.); (E.P.); (A.C.); (E.M.C.); (A.T.)
| | - Diego Cortinovis
- Division of Medical Oncology, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy; (R.L.); or (D.C.)
- School of Medicine and Surgery, University of Milano Bicocca, 20126 Milan, Italy
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21
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Diazzi S, Ablain J. Nonepithelial cancer dissemination: specificities and challenges. Trends Cancer 2024; 10:356-368. [PMID: 38135572 DOI: 10.1016/j.trecan.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023]
Abstract
Epithelial cancers have served as a paradigm to study tumor dissemination but recent data have highlighted significant differences with nonepithelial cancers. Here, we review the current knowledge on nonepithelial tumor dissemination, drawing examples from the latest developments in melanoma, glioma, and sarcoma research. We underscore the importance of the reactivation of developmental processes during cancer progression and describe the nongenetic mechanisms driving nonepithelial tumor spread. We also outline therapeutic opportunities and ongoing clinical approaches to fight disseminating cancers. Finally, we discuss remaining challenges and emerging questions in the field. Defining the core principles underlying nonepithelial cancer dissemination may uncover actionable vulnerabilities of metastatic tumors and help improve the prognosis of patients with cancer.
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Affiliation(s)
- Serena Diazzi
- Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, INSERM U1052, CNRS UMR5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Julien Ablain
- Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, INSERM U1052, CNRS UMR5286, Université Claude Bernard Lyon 1, Lyon, France.
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22
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Boiarsky D, Gulhan DC, Savignano H, Lakshminarayanan G, McClure HM, Silver R, Hirsch MS, Sholl LM, Choudhury AD, Ananda G, Park PJ, Tewari AK, Berchuck JE. A Panel-Based Mutational Signature of Mismatch Repair Deficiency is Associated With Durable Response to Pembrolizumab in Metastatic Castration-Resistant Prostate Cancer. Clin Genitourin Cancer 2024; 22:558-568.e3. [PMID: 38342659 PMCID: PMC10939759 DOI: 10.1016/j.clgc.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/14/2024] [Accepted: 01/15/2024] [Indexed: 02/13/2024]
Abstract
INTRODUCTION/BACKGROUND Immune checkpoint inhibitors (ICIs) have limited efficacy in prostate cancer (PCa). Better biomarkers are needed to predict responses to ICIs. We sought to demonstrate that a panel-based mutational signature identifies mismatch repair (MMR) deficient (MMRd) PCa and is a biomarker of response to pembrolizumab. PATIENTS AND METHODS Clinico-genomic data was obtained for 2664 patients with PCa sequenced at Dana-Farber Cancer Institute (DFCI) and Memorial Sloan Kettering (MSK). Clinical outcomes were collected for patients with metastatic castration-resistant PCa (mCRPC) treated with pembrolizumab at DFCI. SigMA was used to characterize tumors as MMRd or MMR proficient (MMRp). The concordance between MMRd with microsatellite instability (MSI-H) was assessed. Radiographic progression-free survival (rPFS) and overall survival (OS) were collected for patients treated with pembrolizumab. Event-time distributions were estimated using Kaplan-Meier methodology. RESULTS Across both cohorts, 100% (DFCI: 12/12; MSK: 43/43) of MSI-H tumors were MMRd. However, 14% (2/14) and 9.1% (6/66) of MMRd tumors in the DFCI and MSK cohorts respectively were microsatellite stable (MSS), and 26% (17/66) were MSI-indeterminate in the MSK cohort. Among patients treated with pembrolizumab, those with MMRd (n = 5) versus MMRp (n = 14) mCRPC experienced markedly improved rPFS (HR = 0.088, 95% CI: 0.011-0.70; P = .0064) and OS (HR = 0.11, 95% CI: 0.014-0.80; P = .010) from start of treatment. Four patients with MMRd experienced remissions of >= 2.5 years. CONCLUSION SigMA detects additional cases of MMRd as compared to MSI testing in PCa and identifies patients likely to experience durable response to pembrolizumab.
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Affiliation(s)
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Hunter Savignano
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Heather M McClure
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Rebecca Silver
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Atish D Choudhury
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Guruprasad Ananda
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Alok K Tewari
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Jacob E Berchuck
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
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23
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Hosea R, Hillary S, Naqvi S, Wu S, Kasim V. The two sides of chromosomal instability: drivers and brakes in cancer. Signal Transduct Target Ther 2024; 9:75. [PMID: 38553459 PMCID: PMC10980778 DOI: 10.1038/s41392-024-01767-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/18/2024] [Accepted: 02/06/2024] [Indexed: 04/02/2024] Open
Abstract
Chromosomal instability (CIN) is a hallmark of cancer and is associated with tumor cell malignancy. CIN triggers a chain reaction in cells leading to chromosomal abnormalities, including deviations from the normal chromosome number or structural changes in chromosomes. CIN arises from errors in DNA replication and chromosome segregation during cell division, leading to the formation of cells with abnormal number and/or structure of chromosomes. Errors in DNA replication result from abnormal replication licensing as well as replication stress, such as double-strand breaks and stalled replication forks; meanwhile, errors in chromosome segregation stem from defects in chromosome segregation machinery, including centrosome amplification, erroneous microtubule-kinetochore attachments, spindle assembly checkpoint, or defective sister chromatids cohesion. In normal cells, CIN is deleterious and is associated with DNA damage, proteotoxic stress, metabolic alteration, cell cycle arrest, and senescence. Paradoxically, despite these negative consequences, CIN is one of the hallmarks of cancer found in over 90% of solid tumors and in blood cancers. Furthermore, CIN could endow tumors with enhanced adaptation capabilities due to increased intratumor heterogeneity, thereby facilitating adaptive resistance to therapies; however, excessive CIN could induce tumor cells death, leading to the "just-right" model for CIN in tumors. Elucidating the complex nature of CIN is crucial for understanding the dynamics of tumorigenesis and for developing effective anti-tumor treatments. This review provides an overview of causes and consequences of CIN, as well as the paradox of CIN, a phenomenon that continues to perplex researchers. Finally, this review explores the potential of CIN-based anti-tumor therapy.
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Affiliation(s)
- Rendy Hosea
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
- The 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Sharon Hillary
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
- The 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Sumera Naqvi
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
- The 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Shourong Wu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China.
- The 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China.
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing University, Chongqing, 400030, China.
| | - Vivi Kasim
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China.
- The 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China.
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing University, Chongqing, 400030, China.
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24
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Tsanov KM, Barriga FM, Ho YJ, Alonso-Curbelo D, Livshits G, Koche RP, Baslan T, Simon J, Tian S, Wuest AN, Luan W, Wilkinson JE, Masilionis I, Dimitrova N, Iacobuzio-Donahue CA, Chaligné R, Pe’er D, Massagué J, Lowe SW. Metastatic site influences driver gene function in pancreatic cancer. bioRxiv 2024:2024.03.17.585402. [PMID: 38562717 PMCID: PMC10983983 DOI: 10.1101/2024.03.17.585402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Driver gene mutations can increase the metastatic potential of the primary tumor1-3, but their role in sustaining tumor growth at metastatic sites is poorly understood. A paradigm of such mutations is inactivation of SMAD4 - a transcriptional effector of TGFβ signaling - which is a hallmark of multiple gastrointestinal malignancies4,5. SMAD4 inactivation mediates TGFβ's remarkable anti- to pro-tumorigenic switch during cancer progression and can thus influence both tumor initiation and metastasis6-14. To determine whether metastatic tumors remain dependent on SMAD4 inactivation, we developed a mouse model of pancreatic ductal adenocarcinoma (PDAC) that enables Smad4 depletion in the pre-malignant pancreas and subsequent Smad4 reactivation in established metastases. As expected, Smad4 inactivation facilitated the formation of primary tumors that eventually colonized the liver and lungs. By contrast, Smad4 reactivation in metastatic disease had strikingly opposite effects depending on the tumor's organ of residence: suppression of liver metastases and promotion of lung metastases. Integrative multiomic analysis revealed organ-specific differences in the tumor cells' epigenomic state, whereby the liver and lungs harbored chromatin programs respectively dominated by the KLF and RUNX developmental transcription factors, with Klf4 depletion being sufficient to reverse Smad4's tumor-suppressive activity in liver metastases. Our results show how epigenetic states favored by the organ of residence can influence the function of driver genes in metastatic tumors. This organ-specific gene-chromatin interplay invites consideration of anatomical site in the interpretation of tumor genetics, with implications for the therapeutic targeting of metastatic disease.
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Affiliation(s)
- Kaloyan M. Tsanov
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco M. Barriga
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Yu-Jui Ho
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Direna Alonso-Curbelo
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Geulah Livshits
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard P. Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timour Baslan
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Biomedical Sciences, School of Veterinary Medicine, The University of Pennsylvania, Philadelphia, PA, USA
| | - Janelle Simon
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sha Tian
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandra N. Wuest
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei Luan
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John E. Wilkinson
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ignas Masilionis
- Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nevenka Dimitrova
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christine A. Iacobuzio-Donahue
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ronan Chaligné
- Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dana Pe’er
- Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Joan Massagué
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Scott W. Lowe
- Cancer Biology & Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
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25
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Hebert JD, Tang YJ, Andrejka L, Lopez SS, Petrov DA, Boross G, Winslow MM. Combinatorial in vivo genome editing identifies widespread epistasis during lung tumorigenesis. bioRxiv 2024:2024.03.07.583981. [PMID: 38496564 PMCID: PMC10942407 DOI: 10.1101/2024.03.07.583981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Lung adenocarcinoma, the most common subtype of lung cancer, is genomically complex, with tumors containing tens to hundreds of non-synonymous mutations. However, little is understood about how genes interact with each other to enable tumorigenesis in vivo , largely due to a lack of methods for investigating genetic interactions in a high-throughput and multiplexed manner. Here, we employed a novel platform to generate tumors with all pairwise inactivation of ten tumor suppressor genes within an autochthonous mouse model of oncogenic KRAS-driven lung cancer. By quantifying the fitness of tumors with every single and double mutant genotype, we show that most tumor suppressor genetic interactions exhibited negative epistasis, with diminishing returns on tumor fitness. In contrast, Apc inactivation showed positive epistasis with the inactivation of several other genes, including dramatically synergistic effects on tumor fitness in combination with Lkb1 or Nf1 inactivation. This approach has the potential to expand the scope of genetic interactions that may be functionally characterized in vivo , which could lead to a better understanding of how complex tumor genotypes impact each step of carcinogenesis.
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26
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Hebert JD, Xu H, Tang YJ, Ruiz PA, Detrick C, Wang J, Hughes NW, Donosa O, Andrejka L, Karmakar S, Aboiralor I, Cong L, Sage J, Petrov DA, Winslow MM. Modeling the genomic complexity of human cancer using Cas12a mice. bioRxiv 2024:2024.03.07.583774. [PMID: 38496463 PMCID: PMC10942438 DOI: 10.1101/2024.03.07.583774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Somatic genome editing in mouse models has increased our understanding of the in vivo effects of genetic alterations in areas ranging from neuroscience to cancer biology and beyond. However, existing models have been restricted in their ability to create multiple targeted edits, which has limited investigations into complex genetic interactions that underlie development, homeostasis, and disease. To accelerate and expand the generation of complex genotypes in somatic cells, we generated transgenic mice with Cre-regulated and constitutive expression of enhanced Acidaminococcus sp. Cas12a (enAsCas12a), an RNA-guided endonuclease with unique attributes that enable simple targeting of multiple genes. In these mice, enAsCas12a-mediated somatic genome editing robustly generated compound genotypes, as exemplified by the initiation of oncogene-negative lung adenocarcinoma, small-cell lung cancer, and a canonical genotype of pancreatic ductal adenocarcinoma, all driven by homozygous inactivation of trios of tumor suppressor genes. We further integrated these modular crRNA arrays with clonal barcoding to quantify the size and number of tumors with each array. These Cas12a alleles will enable the rapid generation of disease models and broadly facilitate the high-throughput investigation of coincident genomic alterations in somatic cells in vivo .
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27
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Jiang Y, Dong YH, Zhao SW, Liu DY, Zhang JY, Xu XY, Chen H, Chen H, Jin JB. Multiregion WES of metastatic pancreatic neuroendocrine tumors revealed heterogeneity in genomic alterations, immune microenvironment and evolutionary patterns. Cell Commun Signal 2024; 22:164. [PMID: 38448900 PMCID: PMC10916270 DOI: 10.1186/s12964-024-01545-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/25/2024] [Indexed: 03/08/2024] Open
Abstract
Pancreatic neuroendocrine tumors (PanNETs), though uncommon, have a high likelihood of spreading to other body parts. Previously, the genetic diversity and evolutionary patterns in metastatic PanNETs were not well understood. To investigate this, we performed multiregion sampling whole-exome sequencing (MRS-WES) on samples from 10 patients who had not received prior treatment for metastatic PanNETs. This included 29 primary tumor samples, 31 lymph node metastases, and 15 liver metastases. We used the MSK-MET dataset for survival analysis and validation of our findings. Our research indicates that mutations in the MEN1/DAXX genes might trigger the early stages of PanNET development. We categorized the patients based on the presence (MEN1/DAXXmut, n = 7) or absence (MEN1/DAXXwild, n = 3) of these mutations. Notable differences were observed between the two groups in terms of genetic alterations and clinically relevant mutations, confirmed using the MSK-MET dataset. Notably, patients with mutations in MEN1/DAXX/ATRX genes had a significantly longer median overall survival compared to those without these mutations (median not reached vs. 43.63 months, p = 0.047). Multiplex immunohistochemistry (mIHC) analysis showed a more prominent immunosuppressive environment in metastatic tumors, especially in patients with MEN1/DAXX mutations. These findings imply that MEN1/DAXX mutations lead PanNETs through a unique evolutionary path. The disease's progression pattern indicates that PanNETs can spread early, even before clinical detection, highlighting the importance of identifying biomarkers related to metastasis to guide personalized treatment strategies.
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Affiliation(s)
- Yu Jiang
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Ruijn 2nd Road, Shanghai, 200025, People's Republic of China
| | - Yi-Han Dong
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Shi-Wei Zhao
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Ruijn 2nd Road, Shanghai, 200025, People's Republic of China
| | - Dong-Yu Liu
- Department of Clinical and Translational Medicine, 3D Medicines Inc., Shanghai, 201114, People's Republic of China
| | - Ji-Yang Zhang
- Department of Clinical and Translational Medicine, 3D Medicines Inc., Shanghai, 201114, People's Republic of China
| | - Xiao-Ya Xu
- Department of Clinical and Translational Medicine, 3D Medicines Inc., Shanghai, 201114, People's Republic of China
| | - Hao Chen
- Bioinformatics Department, JMDNA Inc., Building 23, 500 Furonghua Road, Shanghai, 201203, People's Republic of China.
| | - Hao Chen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Ruijn 2nd Road, Shanghai, 200025, People's Republic of China.
| | - Jia-Bin Jin
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Ruijn 2nd Road, Shanghai, 200025, People's Republic of China.
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28
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Duan XP, Qin BD, Jiao XD, Liu K, Wang Z, Zang YS. New clinical trial design in precision medicine: discovery, development and direction. Signal Transduct Target Ther 2024; 9:57. [PMID: 38438349 PMCID: PMC10912713 DOI: 10.1038/s41392-024-01760-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/25/2024] [Accepted: 01/29/2024] [Indexed: 03/06/2024] Open
Abstract
In the era of precision medicine, it has been increasingly recognized that individuals with a certain disease are complex and different from each other. Due to the underestimation of the significant heterogeneity across participants in traditional "one-size-fits-all" trials, patient-centered trials that could provide optimal therapy customization to individuals with specific biomarkers were developed including the basket, umbrella, and platform trial designs under the master protocol framework. In recent years, the successive FDA approval of indications based on biomarker-guided master protocol designs has demonstrated that these new clinical trials are ushering in tremendous opportunities. Despite the rapid increase in the number of basket, umbrella, and platform trials, the current clinical and research understanding of these new trial designs, as compared with traditional trial designs, remains limited. The majority of the research focuses on methodologies, and there is a lack of in-depth insight concerning the underlying biological logic of these new clinical trial designs. Therefore, we provide this comprehensive review of the discovery and development of basket, umbrella, and platform trials and their underlying logic from the perspective of precision medicine. Meanwhile, we discuss future directions on the potential development of these new clinical design in view of the "Precision Pro", "Dynamic Precision", and "Intelligent Precision". This review would assist trial-related researchers to enhance the innovation and feasibility of clinical trial designs by expounding the underlying logic, which be essential to accelerate the progression of precision medicine.
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Affiliation(s)
- Xiao-Peng Duan
- Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Bao-Dong Qin
- Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Xiao-Dong Jiao
- Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Ke Liu
- Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Zhan Wang
- Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Yuan-Sheng Zang
- Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China.
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29
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Aleksandrovic E, Zhang S, Yu D. From pre-clinical to translational brain metastasis research: current challenges and emerging opportunities. Clin Exp Metastasis 2024:10.1007/s10585-024-10271-9. [PMID: 38430319 DOI: 10.1007/s10585-024-10271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/18/2024] [Indexed: 03/03/2024]
Abstract
Brain metastasis, characterized by poor clinical outcomes, is a devastating disease. Despite significant mechanistic and therapeutic advances in recent years, pivotal improvements in clinical interventions have remained elusive. The heterogeneous nature of the primary tumor of origin, complications in drug delivery across the blood-brain barrier, and the distinct microenvironment collectively pose formidable clinical challenges in developing new treatments for patients with brain metastasis. Although current preclinical models have deepened our basic understanding of the disease, much of the existing research on brain metastasis has employed a reductionist approach. This approach, which often relies on either in vitro systems or in vivo injection models in young and treatment-naive mouse models, does not give sufficient consideration to the clinical context. Given the translational importance of brain metastasis research, we advocate for the design of preclinical experimental models that take into account these unique clinical challenges and align more closely with current clinical practices. We anticipate that aligning and simulating real-world patient conditions will facilitate the development of more translatable treatment regimens. This brief review outlines the most pressing clinical challenges, the current state of research in addressing them, and offers perspectives on innovative metastasis models and tools aimed at identifying novel strategies for more effective management of clinical brain metastasis.
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Affiliation(s)
- Emilija Aleksandrovic
- Department of Pathology, Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, 6001 Forest Park Rd, Dallas, TX, 75235, USA
| | - Siyuan Zhang
- Department of Pathology, Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, 6001 Forest Park Rd, Dallas, TX, 75235, USA.
| | - Dihua Yu
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
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30
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Ibusuki R, Iwama E, Shimauchi A, Tsutsumi H, Yoneshima Y, Tanaka K, Okamoto I. TP53 gain-of-function mutations promote osimertinib resistance via TNF-α-NF-κB signaling in EGFR-mutated lung cancer. NPJ Precis Oncol 2024; 8:60. [PMID: 38431700 PMCID: PMC10908812 DOI: 10.1038/s41698-024-00557-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 02/20/2024] [Indexed: 03/05/2024] Open
Abstract
EGFR tyrosine kinase inhibitors (TKIs) are effective against EGFR-mutated lung cancer, but tumors eventually develop resistance to these drugs. Although TP53 gain-of-function (GOF) mutations promote carcinogenesis, their effect on EGFR-TKI efficacy has remained unclear. We here established EGFR-mutated lung cancer cell lines that express wild-type (WT) or various mutant p53 proteins with CRISPR-Cas9 technology and found that TP53-GOF mutations promote early development of resistance to the EGFR-TKI osimertinib associated with sustained activation of ERK and expression of c-Myc. Gene expression analysis revealed that osimertinib activates TNF-α-NF-κB signaling specifically in TP53-GOF mutant cells. In such cells, osimertinib promoted interaction of p53 with the NF-κB subunit p65, translocation of the resulting complex to the nucleus and its binding to the TNF promoter, and TNF-α production. Concurrent treatment of TP53-GOF mutant cells with the TNF-α inhibitor infliximab suppressed acquisition of osimertinib resistance as well as restored osimertinib sensitivity in resistant cells in association with attenuation of ERK activation and c-Myc expression. Our findings indicate that induction of TNF-α expression by osimertinib in TP53-GOF mutant cells contributes to the early development of osimertinib resistance, and that TNF-α inhibition may therefore be an effective strategy to overcome such resistance in EGFR-mutant lung cancer with TP53-GOF mutations.
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Affiliation(s)
- Ritsu Ibusuki
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Eiji Iwama
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Atsushi Shimauchi
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hirono Tsutsumi
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuto Yoneshima
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kentaro Tanaka
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Isamu Okamoto
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Christ SM, Pohl K, Willmann J, Heesen P, Heusel A, Ahmadsei M, Kühnis A, Vlaskou Badra E, Muehlematter UJ, Mayinger M, Balermpas P, Andratschke N, Zaorsky N, Huellner M, Guckenberger M. Patterns of metastatic spread and tumor burden in unselected cancer patients using PET imaging: Implications for the oligometastatic spectrum theory. Clin Transl Radiat Oncol 2024; 45:100724. [PMID: 38288311 PMCID: PMC10823052 DOI: 10.1016/j.ctro.2024.100724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 12/08/2023] [Accepted: 01/07/2024] [Indexed: 01/31/2024] Open
Abstract
Introduction and background Metastatic disease has been proposed as a continuum, with no clear cut-off between oligometastatic and polymetastatic disease. This study aims to quantify tumor burden and patterns of spread in unselected metastatic cancer patients referred for PET-based staging, response assessment of restaging. Materials and methods All oncological fluorodeoxyglucose (FDG-) and prostate-specific membrane antigen (PSMA-) positron emission tomography (PET) scans conducted at a single academic center in 2020 were analyzed. Imaging reports of all patients with metastatic disease were reviewed and assessed. Results For this study, 7,000 PET scans were screened. One third of PET scans (n = 1,754; 33 %) from 1,155 unique patients showed presence of metastatic disease from solid malignancies, of which 601 (52 %) and 554 (48 %) were classified as oligometastatic (maximum 5 metastases) and polymetastatic (>5 metastases), respectively. Lung and pleural cancer, skin cancer, and breast cancer were the most common primary tumor histologies with 132 (23.8 %), 88 (15.9 %), and 72 (13.0 %) cases, respectively. Analysis of the number of distant metastases showed a strong bimodal distribution of the metastatic burden with 26 % of patients having one solitary metastasis and 43 % of patients harboring >10 metastases. Yet, despite 43 % of polymetastatic patients having >10 distant metastases, their pattern of distribution was restricted to one or two organs in about two thirds of patients, and there was no association between the number of distant metastases and the number of involved organs. Conclusion The majority of metastatic cancer patients are characterized by either a solitary metastasis or a high tumor burden with >10 metastases, the latter was often associated with affecting a limited number of organs. These findings support both the spectrum theory of metastasis and the seed and soil hypothesis and can support in designing the next generation of clinical trials in the field of oligometastatic disease.
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Affiliation(s)
- Sebastian M. Christ
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kaspar Pohl
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Jonas Willmann
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Proton Therapy, Paul Scherrer Institute, ETH Domain, Villigen, Switzerland
| | - Philip Heesen
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Astrid Heusel
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Maiwand Ahmadsei
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Anja Kühnis
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Eugenia Vlaskou Badra
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Urs J. Muehlematter
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Mayinger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Panagiotis Balermpas
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Nicholas Zaorsky
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Martin Huellner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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Dymerska D, Marusiak AA. Drivers of cancer metastasis - Arise early and remain present. Biochim Biophys Acta Rev Cancer 2024; 1879:189060. [PMID: 38151195 DOI: 10.1016/j.bbcan.2023.189060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/09/2023] [Accepted: 12/15/2023] [Indexed: 12/29/2023]
Abstract
Cancer and its metastases arise from mutations of genes, drivers that promote a tumor's growth. Analyses of driver events provide insights into cancer cell history and may lead to a better understanding of oncogenesis. We reviewed 27 metastatic research studies, including pan-cancer studies, individual cancer studies, and phylogenetic analyses, and summarized our current knowledge of metastatic drivers. All of the analyzed studies had a high level of consistency of driver mutations between primary tumors and metastasis, indicating that most drivers appear early in cancer progression and are maintained in metastatic cells. Additionally, we reviewed data from around 50,000 metastatic cancer patients and compiled a list of genes altered in metastatic lesions. We performed Gene Ontology analysis and confirmed that the most significantly enriched processes in metastatic lesions were the epigenetic regulation of gene expression, signal transduction, cell cycle, programmed cell death, DNA damage, hypoxia and EMT. In this review, we explore the most recent discoveries regarding genetic factors in the advancement of cancer, specifically those that drive metastasis.
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Affiliation(s)
- Dagmara Dymerska
- Laboratory of Molecular OncoSignalling, IMol Polish Academy of Sciences, Warsaw, Poland.
| | - Anna A Marusiak
- Laboratory of Molecular OncoSignalling, IMol Polish Academy of Sciences, Warsaw, Poland.
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Bhatia S, Khanna KK, Duijf PHG. Targeting chromosomal instability and aneuploidy in cancer. Trends Pharmacol Sci 2024; 45:210-224. [PMID: 38355324 DOI: 10.1016/j.tips.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 02/16/2024]
Abstract
Cancer development and therapy resistance are driven by chromosomal instability (CIN), which causes chromosome gains and losses (i.e., aneuploidy) and structural chromosomal alterations. Technical limitations and knowledge gaps have delayed therapeutic targeting of CIN and aneuploidy in cancers. However, our toolbox for creating and studying aneuploidy in cell models has greatly expanded recently. Moreover, accumulating evidence suggests that seven conventional antimitotic chemotherapeutic drugs achieve clinical response by inducing CIN instead of mitotic arrest, although additional anticancer activities may also contribute in vivo. In this review, we discuss these recent developments. We also highlight new discoveries, which together show that 25 chromosome arm aneuploidies (CAAs) may be targetable by 36 drugs across 14 types of cancer. Collectively, these advances offer many new opportunities to improve cancer treatment.
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Affiliation(s)
- Sugandha Bhatia
- Queensland University of Technology (QUT), School of Biomedical Sciences, Centre for Genomics and Personalised Health and Centre for Biomedical Technologies at the Translational Research Institute, Woolloongabba, QLD 4102, Australia.
| | - Kum Kum Khanna
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia; Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD 4102, Australia
| | - Pascal H G Duijf
- Queensland University of Technology (QUT), School of Biomedical Sciences, Centre for Genomics and Personalised Health and Centre for Biomedical Technologies at the Translational Research Institute, Woolloongabba, QLD 4102, Australia; Centre for Cancer Biology, Clinical and Health Sciences, University of South Australia and SA Pathology, Adelaide, SA 5001, Australia; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
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Cai Q, He Y, Zhou Y, Zheng J, Deng J. Nanomaterial-Based Strategies for Preventing Tumor Metastasis by Interrupting the Metastatic Biological Processes. Adv Healthc Mater 2024:e2303543. [PMID: 38411537 DOI: 10.1002/adhm.202303543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/01/2024] [Indexed: 02/28/2024]
Abstract
Tumor metastasis is the primary cause of cancer-related deaths. The prevention of tumor metastasis has garnered notable interest and interrupting metastatic biological processes is considered a potential strategy for preventing tumor metastasis. The tumor microenvironment (TME), circulating tumor cells (CTCs), and premetastatic niche (PMN) play crucial roles in metastatic biological processes. These processes can be interrupted using nanomaterials due to their excellent physicochemical properties. However, most studies have focused on only one aspect of tumor metastasis. Here, the hypothesis that nanomaterials can be used to target metastatic biological processes and explore strategies to prevent tumor metastasis is highlighted. First, the metastatic biological processes and strategies involving nanomaterials acting on the TME, CTCs, and PMN to prevent tumor metastasis are briefly summarized. Further, the current challenges and prospects of nanomaterials in preventing tumor metastasis by interrupting metastatic biological processes are discussed. Nanomaterial-and multifunctional nanomaterial-based strategies for preventing tumor metastasis are advantageous for the long-term fight against tumor metastasis and their continued exploration will facilitate rapid progress in the prevention, diagnosis, and treatment of tumor metastasis. Novel perspectives are outlined for developing more effective strategies to prevent tumor metastasis, thereby improving the outcomes of patients with cancer.
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Affiliation(s)
- Qingjin Cai
- Department of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, China
| | - Yijia He
- School of Basic Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Yang Zhou
- Department of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, China
| | - Ji Zheng
- Department of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, China
| | - Jun Deng
- Institute of Burn Research, Southwest Hospital, State Key Lab of Trauma, Burn and Combined Injury, Chongqing Key Laboratory for Disease Proteomics, Third Military Medical University (Army Medical University), Chongqing, 400038, China
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An SX, Yu ZJ, Fu C, Wei MJ, Shen LH. Biological factors driving colorectal cancer metastasis. World J Gastrointest Oncol 2024; 16:259-272. [PMID: 38425391 PMCID: PMC10900157 DOI: 10.4251/wjgo.v16.i2.259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/23/2023] [Accepted: 01/08/2024] [Indexed: 02/02/2024] Open
Abstract
Approximately 20% of colorectal cancer (CRC) patients present with metastasis at diagnosis. Among Stage I-III CRC patients who undergo surgical resection, 18% typically suffer from distal metastasis within the first three years following initial treatment. The median survival duration after the diagnosis of metastatic CRC (mCRC) is only 9 mo. mCRC is traditionally considered to be an advanced stage malignancy or is thought to be caused by incomplete resection of tumor tissue, allowing cancer cells to spread from primary to distant organs; however, increasing evidence suggests that the mCRC process can begin early in tumor development. CRC patients present with high heterogeneity and diverse cancer phenotypes that are classified on the basis of molecular and morphological alterations. Different genomic and nongenomic events can induce subclone diversity, which leads to cancer and metastasis. Throughout the course of mCRC, metastatic cascades are associated with invasive cancer cell migration through the circulatory system, extravasation, distal seeding, dormancy, and reactivation, with each step requiring specific molecular functions. However, cancer cells presenting neoantigens can be recognized and eliminated by the immune system. In this review, we explain the biological factors that drive CRC metastasis, namely, genomic instability, epigenetic instability, the metastatic cascade, the cancer-immunity cycle, and external lifestyle factors. Despite remarkable progress in CRC research, the role of molecular classification in therapeutic intervention remains unclear. This review shows the driving factors of mCRC which may help in identifying potential candidate biomarkers that can improve the diagnosis and early detection of mCRC cases.
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Affiliation(s)
- Shuai-Xing An
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
- BD Department, Greenpine Pharma Group Co., Ltd, Tianjin 300020, China
| | - Zhao-Jin Yu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Chen Fu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Min-Jie Wei
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Long-Hai Shen
- Center of Oncology, Genertec Liaoyou Gem Flower Hospital, PanJin 124010, Liaoning Province, China
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Abstract
Importance Approximately 43 720 new cases of thyroid carcinoma are expected to be diagnosed in 2023 in the US. Five-year relative survival is approximately 98.5%. This review summarizes current evidence regarding pathophysiology, diagnosis, and management of early-stage and advanced thyroid cancer. Observations Papillary thyroid cancer accounts for approximately 84% of all thyroid cancers. Papillary, follicular (≈4%), and oncocytic (≈2%) forms arise from thyroid follicular cells and are termed well-differentiated thyroid cancer. Aggressive forms of follicular cell-derived thyroid cancer are poorly differentiated thyroid cancer (≈5%) and anaplastic thyroid cancer (≈1%). Medullary thyroid cancer (≈4%) arises from parafollicular C cells. Most cases of well-differentiated thyroid cancer are asymptomatic and detected during physical examination or incidentally found on diagnostic imaging studies. For microcarcinomas (≤1 cm), observation without surgical resection can be considered. For tumors larger than 1 cm with or without lymph node metastases, surgery with or without radioactive iodine is curative in most cases. Surgical resection is the preferred approach for patients with recurrent locoregional disease. For metastatic disease, surgical resection or stereotactic body irradiation is favored over systemic therapy (eg, lenvatinib, dabrafenib). Antiangiogenic multikinase inhibitors (eg, sorafenib, lenvatinib, cabozantinib) are approved for thyroid cancer that does not respond to radioactive iodine, with response rates 12% to 65%. Targeted therapies such as dabrafenib and selpercatinib are directed to genetic mutations (BRAF, RET, NTRK, MEK) that give rise to thyroid cancer and are used in patients with advanced thyroid carcinoma. Conclusions Approximately 44 000 new cases of thyroid cancer are diagnosed each year in the US, with a 5-year relative survival of 98.5%. Surgery is curative in most cases of well-differentiated thyroid cancer. Radioactive iodine treatment after surgery improves overall survival in patients at high risk of recurrence. Antiangiogenic multikinase inhibitors and targeted therapies to genetic mutations that give rise to thyroid cancer are increasingly used in the treatment of metastatic disease.
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Affiliation(s)
- Laura Boucai
- Department of Medicine, Division of Endocrinology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark Zafereo
- Department of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Maria E Cabanillas
- Department of Endocrine Neoplasia and Hormonal Disorders, University of Texas MD Anderson Cancer Center, Houston, Texas
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Carceles-Cordon M, Orme JJ, Domingo-Domenech J, Rodriguez-Bravo V. The yin and yang of chromosomal instability in prostate cancer. Nat Rev Urol 2024:10.1038/s41585-023-00845-9. [PMID: 38307951 DOI: 10.1038/s41585-023-00845-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2023] [Indexed: 02/04/2024]
Abstract
Metastatic prostate cancer remains an incurable lethal disease. Studies indicate that prostate cancer accumulates genomic changes during disease progression and displays the highest levels of chromosomal instability (CIN) across all types of metastatic tumours. CIN, which refers to ongoing chromosomal DNA gain or loss during mitosis, and derived aneuploidy, are known to be associated with increased tumour heterogeneity, metastasis and therapy resistance in many tumour types. Paradoxically, high CIN levels are also proposed to be detrimental to tumour cell survival, suggesting that cancer cells must develop adaptive mechanisms to ensure their survival. In the context of prostate cancer, studies indicate that CIN has a key role in disease progression and might also offer a therapeutic vulnerability that can be pharmacologically targeted. Thus, a comprehensive evaluation of the causes and consequences of CIN in prostate cancer, its contribution to aggressive advanced disease and a better understanding of the acquired CIN tolerance mechanisms can translate into new tumour classifications, biomarker development and therapeutic strategies.
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Affiliation(s)
| | - Jacob J Orme
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Josep Domingo-Domenech
- Department of Urology, Mayo Clinic, Rochester, MN, USA.
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
| | - Veronica Rodriguez-Bravo
- Department of Urology, Mayo Clinic, Rochester, MN, USA.
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
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Abstract
ABSTRACT Pancreatic cancer remains one of the deadliest of all cancer types with a 5-year overall survival rate of just 12%. Preclinical models available for understanding the disease pathophysiology have evolved significantly in recent years. Traditionally, commercially available 2-dimensional cell lines were developed to investigate mechanisms underlying tumorigenesis, metastasis, and drug resistance. However, these cells grow as monolayer cultures that lack heterogeneity and do not effectively represent tumor biology. Developing patient-derived xenografts and genetically engineered mouse models led to increased cellular heterogeneity, molecular diversity, and tissues that histologically represent the original patient tumors. However, these models are relatively expensive and very timing consuming. More recently, the advancement of fast and inexpensive in vitro models that better mimic disease conditions in vivo are on the rise. Three-dimensional cultures like organoids and spheroids have gained popularity and are considered to recapitulate complex disease characteristics. In addition, computational genomics, transcriptomics, and metabolomic models are being developed to simulate pancreatic cancer progression and predict better treatment strategies. Herein, we review the challenges associated with pancreatic cancer research and available analytical models. We suggest that an integrated approach toward using these models may allow for developing new strategies for pancreatic cancer precision medicine.
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Affiliation(s)
- Philip Salu
- From the Department of Biological Sciences, North Dakota State University, Fargo, ND
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Saito Y, Kobayashi K, Fukuoka O, Sakai T, Yamamura K, Ando M, Kondo K. Ultra-high combined positive score and high serum albumin are favorable prognostic biomarkers for immune checkpoint inhibitors in head and neck squamous cell carcinoma. Head Neck 2024; 46:367-377. [PMID: 38063247 DOI: 10.1002/hed.27576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Biomarkers that predict response to immune checkpoint inhibitor (ICI) in recurrent metastatic squamous cell carcinoma of the head and neck (RMHNSCC) are not well known. METHODS We prospectively measured the combined positive score (CPS) and administered ICI to patients with RMHNSCC. RESULTS Of 51 patients, 23 patients had a CPS <20 and 12 patients (23.5%) had a CPS ≥90. CPS showed a negative correlation with serum albumin. Survival analysis showed a 2-year survival rate of 24.1%. In multivariate analysis, CPS ≥90 (HR 0.3026, p = 0.02614) and albumin >3.5 (HR 0.3463, p = 0.01354) were the significant factors and plus chemotherapy (HR 0.4648, p = 0.07632) was not significant. Seven patients (14%) with CPS ≥90 and albumin >3.5 showed a 2-year survival rate of 66. 7%. CONCLUSIONS CPS ≥90 and albumin >3.5 cases are a subgroup of RMHNSCC that respond extremely well to ICI.
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Affiliation(s)
- Yuki Saito
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
| | - Kenya Kobayashi
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
| | - Osamu Fukuoka
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
| | - Toshihiko Sakai
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
- Department of Head and Neck Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Koji Yamamura
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
| | - Mizuo Ando
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
- Department of Otorhinolaryngology-Head and Neck Surgery, Okayama University, Graduate School of Medicine, Okayama, Japan
| | - Kenji Kondo
- Departments of Otolaryngology, Head and Neck Surgery, University of Tokyo, Tokyo, Japan
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Ahmadi S, Landa I. The prognostic power of gene mutations in thyroid cancer. Endocr Connect 2024; 13:e230297. [PMID: 38078934 PMCID: PMC10831542 DOI: 10.1530/ec-23-0297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 12/11/2023] [Indexed: 01/17/2024]
Abstract
The introduction and generalization of next-generation sequencing techniques have significantly increased the identification of mutations in thyroid tumors from multiple patient cohorts. The understanding of the association between specific mutations and clinical outcomes is gradually leading to individualizing the care of patients with thyroid cancer. BRAFV600 is the most common mutation seen in thyroid cancer patients and unequivocally predicts malignancy, but when considered in isolation, it is not recommended to be used as an independent prognostic factor. Mutations in RAS are the second most common alterations in thyroid cancer but can be found in benign and malignant lesions. Rearrangements involving receptor tyrosine kinases, primarily RET, are found in a subset of thyroid tumors without mutations in either BRAF or RAS. The assessment of additional mutations is increasingly employed in thyroid cancer prognostication. The coexistence of BRAF with alterations in genes such as PIK3CA, TERT promoter, or TP53 is associated with less favorable outcomes. Similar studies have also shown that additional oncogenic mutations in RAS-mutant thyroid carcinoma, such as those affecting the EIF1AX gene, likely predict a more aggressive clinicopathologic behavior. Overall, emerging evidence suggests that the co-occurrence of specific alterations in defined genes with BRAF or RAS mutations can become prognostic tools and useful predictors of thyroid tumor aggressiveness.
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Affiliation(s)
- Sara Ahmadi
- Division of Endocrinology, Thyroid Section, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Iñigo Landa
- Division of Endocrinology, Thyroid Section, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Baker TM, Waise S, Tarabichi M, Van Loo P. Aneuploidy and complex genomic rearrangements in cancer evolution. Nat Cancer 2024; 5:228-239. [PMID: 38286829 DOI: 10.1038/s43018-023-00711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/14/2023] [Indexed: 01/31/2024]
Abstract
Mutational processes that alter large genomic regions occur frequently in developing tumors. They range from simple copy number gains and losses to the shattering and reassembly of entire chromosomes. These catastrophic events, such as chromothripsis, chromoplexy and the formation of extrachromosomal DNA, affect the expression of many genes and therefore have a substantial effect on the fitness of the cells in which they arise. In this review, we cover large genomic alterations, the mechanisms that cause them and their effect on tumor development and evolution.
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Affiliation(s)
- Toby M Baker
- The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sara Waise
- The Francis Crick Institute, London, UK
- Cancer Sciences Unit, University of Southampton, Southampton, UK
| | - Maxime Tarabichi
- The Francis Crick Institute, London, UK
- Institute for Interdisciplinary Research (IRIBHM), Université Libre de Bruxelles, Brussels, Belgium
| | - Peter Van Loo
- The Francis Crick Institute, London, UK.
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Landa I, Cabanillas ME. Genomic alterations in thyroid cancer: biological and clinical insights. Nat Rev Endocrinol 2024; 20:93-110. [PMID: 38049644 DOI: 10.1038/s41574-023-00920-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/25/2023] [Indexed: 12/06/2023]
Abstract
Tumours can arise from thyroid follicular cells if they acquire driver mutations that constitutively activate the MAPK signalling pathway. In addition, a limited set of additional mutations in key genes drive tumour progression towards more aggressive and less differentiated disease. Unprecedented insights into thyroid tumour biology have come from the breadth of thyroid tumour sequencing data from patients and the wide range of mutation-specific mechanisms identified in experimental models, in combination with the genomic simplicity of thyroid cancers. This knowledge is gradually being translated into refined strategies to stratify, manage and treat patients with thyroid cancer. This Review summarizes the biological underpinnings of the genetic alterations involved in thyroid cancer initiation and progression. We also provide a rationale for and discuss specific examples of how to implement genomic information to inform both recommended and investigational approaches to improve thyroid cancer prognosis, redifferentiation strategies and targeted therapies.
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Affiliation(s)
- Iñigo Landa
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Maria E Cabanillas
- Department of Endocrine Neoplasia & Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Leibold J, Tsanov KM, Amor C, Ho YJ, Sánchez-Rivera FJ, Feucht J, Baslan T, Chen HA, Tian S, Simon J, Wuest A, Wilkinson JE, Lowe SW. Somatic mouse models of gastric cancer reveal genotype-specific features of metastatic disease. Nat Cancer 2024; 5:315-329. [PMID: 38177458 PMCID: PMC10899107 DOI: 10.1038/s43018-023-00686-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 11/10/2023] [Indexed: 01/06/2024]
Abstract
Metastatic gastric carcinoma is a highly lethal cancer that responds poorly to conventional and molecularly targeted therapies. Despite its clinical relevance, the mechanisms underlying the behavior and therapeutic response of this disease are poorly understood owing, in part, to a paucity of tractable models. Here we developed methods to somatically introduce different oncogenic lesions directly into the murine gastric epithelium. Genotypic configurations observed in patients produced metastatic gastric cancers that recapitulated the histological, molecular and clinical features of all nonviral molecular subtypes of the human disease. Applying this platform to both wild-type and immunodeficient mice revealed previously unappreciated links between the genotype, organotropism and immune surveillance of metastatic cells, which produced distinct patterns of metastasis that were mirrored in patients. Our results establish a highly portable platform for generating autochthonous cancer models with flexible genotypes and host backgrounds, which can unravel mechanisms of gastric tumorigenesis or test new therapeutic concepts.
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Affiliation(s)
- Josef Leibold
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medical Oncology and Pneumology, University Hospital Tuebingen, Tuebingen, Germany.
- iFIT Cluster of Excellence EXC 2180 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tuebingen, Tuebingen, Germany.
| | - Kaloyan M Tsanov
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Corina Amor
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Yu-Jui Ho
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco J Sánchez-Rivera
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Judith Feucht
- iFIT Cluster of Excellence EXC 2180 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tuebingen, Tuebingen, Germany
- Department I-General Paediatrics, Haematology/Oncology, University Children's Hospital Tuebingen, Tuebingen, Germany
| | - Timour Baslan
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Biomedical Sciences, School of Veterinary Medicine, The University of Pennsylvania, Philadelphia, PA, USA
| | - Hsuan-An Chen
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sha Tian
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Janelle Simon
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandra Wuest
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John E Wilkinson
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Scott W Lowe
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Namikawa T, Tanaka T, Utsunomiya M, Yokota K, Munekage M, Maeda H, Kitagawa H, Kurioka Y, Satake H, Kobayashi M, Hanazaki K, Seo S. Gastric cancer with Fanconi anemia in adolescent and young adult patient diagnosed by comprehensive genome profiling using next-generation sequencing. Clin J Gastroenterol 2024; 17:12-17. [PMID: 37934348 DOI: 10.1007/s12328-023-01886-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/18/2023] [Indexed: 11/08/2023]
Abstract
Recently, the results of gastric cancer treatment have improved; however, its characteristics in adolescents and young adults are not well known. We report the case of a patient with advanced gastric cancer, Fanconi anemia (FA), and primary biliary cholangitis. A 26-year-old woman visited a local physician complaining of epigastralgia. Esophagogastroduodenoscopy revealed edematous changes with poor distension and circumferential thickened folds with erosions in the gastric body. Biopsy results of the lesion specimens revealed poorly differentiated adenocarcinoma. Abdominal contrast-enhanced computed tomography revealed gastric wall with irregular thickness, several nodules in the peritoneal cavity, and a mass lesion in the right ovary. We diagnosed the patient with T4N2M1 stage IV gastric cancer accompanied by peritoneal and ovarian metastases and initiated nivolumab with S-1 plus oxaliplatin as the first-line treatment regimen. Because of immune-related adverse events after one course of systemic treatment, the regimen was changed to ramucirumab combined with nab-paclitaxel chemotherapy as the second-line treatment. After three cycles of weekly nab-paclitaxel with ramucirumab, the decreased platelet count did not recover, and her general condition gradually deteriorated. Comprehensive genome profiling using next-generation sequencing was performed to determine the feasibility of genotype-matched therapies. Alterations in FA complementation group A (FANCA) F1263del (49.1%) and E484Q (12.3%), which encode a key component of the multiprotein FA complex, were identified. The patient died 10 months after treatment initiation. In conclusion, when treating malignancies in adolescent and young adult patients, the genomic background should be considered.
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Affiliation(s)
- Tsutomu Namikawa
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan.
| | - Tomoki Tanaka
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Masato Utsunomiya
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Keiichiro Yokota
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Masaya Munekage
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Hiromichi Maeda
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Hiroyuki Kitagawa
- Department of Operating Room Management, Kochi Medical School Hospital, Nankoku, Japan
| | - Yusuke Kurioka
- Department of Medical Oncology, Kochi Medical School, Nankoku, Japan
| | - Hironaga Satake
- Department of Medical Oncology, Kochi Medical School, Nankoku, Japan
| | - Michiya Kobayashi
- Department of Human Health and Medical Sciences, Kochi Medical School, Nankoku, Japan
| | - Kazuhiro Hanazaki
- Integrated Center for Advanced Medical Technologies, Kochi Medical School Hospital, Nankoku, Japan
| | - Satoru Seo
- Department of Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
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Xiong D, Qiu Y, Zhao J, Zhou Y, Lee D, Gupta S, Torres M, Lu W, Liang S, Kang JJ, Eng C, Loscalzo J, Cheng F, Yu H. Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations. bioRxiv 2024:2023.04.24.538110. [PMID: 37162909 PMCID: PMC10168245 DOI: 10.1101/2023.04.24.538110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Human genome sequencing studies have identified numerous loci associated with complex diseases. However, translating human genetic and genomic findings to disease pathobiology and therapeutic discovery remains a major challenge at multiscale interactome network levels. Here, we present a deep-learning-based ensemble framework, termed PIONEER (Protein-protein InteractiOn iNtErfacE pRediction), that accurately predicts protein binding partner-specific interfaces for all known protein interactions in humans and seven other common model organisms, generating comprehensive structurally-informed protein interactomes. We demonstrate that PIONEER outperforms existing state-of-the-art methods. We further systematically validated PIONEER predictions experimentally through generating 2,395 mutations and testing their impact on 6,754 mutation-interaction pairs, confirming the high quality and validity of PIONEER predictions. We show that disease-associated mutations are enriched in PIONEER-predicted protein-protein interfaces after mapping mutations from ~60,000 germline exomes and ~36,000 somatic genomes. We identify 586 significant protein-protein interactions (PPIs) enriched with PIONEER-predicted interface somatic mutations (termed oncoPPIs) from pan-cancer analysis of ~11,000 tumor whole-exomes across 33 cancer types. We show that PIONEER-predicted oncoPPIs are significantly associated with patient survival and drug responses from both cancer cell lines and patient-derived xenograft mouse models. We identify a landscape of PPI-perturbing tumor alleles upon ubiquitination by E3 ligases, and we experimentally validate the tumorigenic KEAP1-NRF2 interface mutation p.Thr80Lys in non-small cell lung cancer. We show that PIONEER-predicted PPI-perturbing alleles alter protein abundance and correlates with drug responses and patient survival in colon and uterine cancers as demonstrated by proteogenomic data from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium. PIONEER, implemented as both a web server platform and a software package, identifies functional consequences of disease-associated alleles and offers a deep learning tool for precision medicine at multiscale interactome network levels.
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Affiliation(s)
- Dapeng Xiong
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
| | - Yunguang Qiu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Junfei Zhao
- Department of Systems Biology, Herbert Irving Comprehensive Center, Columbia University, New York, NY 10032, USA
| | - Yadi Zhou
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Dongjin Lee
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Shobhita Gupta
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
- Biophysics Program, Cornell University, Ithaca, NY 14853, USA
| | - Mateo Torres
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
| | - Weiqiang Lu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Siqi Liang
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Jin Joo Kang
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
| | - Charis Eng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Joseph Loscalzo
- Channing Division of Network Medicine, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Feixiong Cheng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Haiyuan Yu
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
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Shiner A, Sperandio RC, Naimi M, Emmenegger U. Prostate Cancer Liver Metastasis: An Ominous Metastatic Site in Need of Distinct Management Strategies. J Clin Med 2024; 13:734. [PMID: 38337427 PMCID: PMC10856097 DOI: 10.3390/jcm13030734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Prostate cancer liver metastasis (PCLM), seen in upwards of 25% of metastatic castration-resistant PC (mCRPC) patients, is the most lethal site of mCRPC with a median overall survival of 10-14 months. Despite its ominous prognosis and anticipated rise in incidence due to longer survival with contemporary therapy, PCLM is understudied. This review aims to summarize the existing literature regarding the risk factors associated with the development of PCLM, and to identify areas warranting further research. A literature search was conducted through Ovid MEDLINE from 2000 to March 2023. Relevant subject headings and text words were used to capture the following concepts: "Prostatic Neoplasms", "Liver Neoplasms", and "Neoplasm Metastasis". Citation searching identified additional manuscripts. Forty-one studies were retained for detailed analysis. The clinical risk factors for visceral/liver metastasis included <70 years, ≥T3 tumor, N1 nodal stage, de novo metastasis, PSA >20 ng/mL, and a Gleason score >8. Additional risk factors comprised elevated serum AST, LDH or ALP, decreased Hb, genetic markers like RB1 and PTEN loss, PIK3CB and MYC amplification, as well as numerous PC treatments either acting directly or indirectly through inducing liver injury. Further research regarding predictive factors, early detection strategies, and targeted therapies for PCLM are critical for improving patient outcomes.
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Affiliation(s)
- Audrey Shiner
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (A.S.); (R.C.S.); (M.N.)
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Rubens Copia Sperandio
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (A.S.); (R.C.S.); (M.N.)
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Mahdi Naimi
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (A.S.); (R.C.S.); (M.N.)
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - Urban Emmenegger
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (A.S.); (R.C.S.); (M.N.)
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
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47
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Sayin AZ, Abali Z, Senyuz S, Cankara F, Gursoy A, Keskin O. Conformational diversity and protein-protein interfaces in drug repurposing in Ras signaling pathway. Sci Rep 2024; 14:1239. [PMID: 38216592 PMCID: PMC10786864 DOI: 10.1038/s41598-023-50913-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/27/2023] [Indexed: 01/14/2024] Open
Abstract
We focus on drug repurposing in the Ras signaling pathway, considering structural similarities of protein-protein interfaces. The interfaces formed by physically interacting proteins are found from PDB if available and via PRISM (PRotein Interaction by Structural Matching) otherwise. The structural coverage of these interactions has been increased from 21 to 92% using PRISM. Multiple conformations of each protein are used to include protein dynamics and diversity. Next, we find FDA-approved drugs bound to structurally similar protein-protein interfaces. The results suggest that HIV protease inhibitors tipranavir, indinavir, and saquinavir may bind to EGFR and ERBB3/HER3 interface. Tipranavir and indinavir may also bind to EGFR and ERBB2/HER2 interface. Additionally, a drug used in Alzheimer's disease can bind to RAF1 and BRAF interface. Hence, we propose a methodology to find drugs to be potentially used for cancer using a dataset of structurally similar protein-protein interface clusters rather than pockets in a systematic way.
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Affiliation(s)
- Ahenk Zeynep Sayin
- Department of Chemical and Biological Engineering, College of Engineering, Koc University, Rumeli Feneri Yolu Sariyer, 34450, Istanbul, Turkey
| | - Zeynep Abali
- Graduate School of Science and Engineering, Computational Sciences and Engineering, Koc University, 34450, Istanbul, Turkey
| | - Simge Senyuz
- Graduate School of Science and Engineering, Computational Sciences and Engineering, Koc University, 34450, Istanbul, Turkey
| | - Fatma Cankara
- Graduate School of Science and Engineering, Computational Sciences and Engineering, Koc University, 34450, Istanbul, Turkey
| | - Attila Gursoy
- Department of Computer Engineering, Koc University, 34450, Istanbul, Turkey
| | - Ozlem Keskin
- Department of Chemical and Biological Engineering, College of Engineering, Koc University, Rumeli Feneri Yolu Sariyer, 34450, Istanbul, Turkey.
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48
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Raleigh D, Nguyen M, Chen W, Zakimi N, Mirchia K, Lucas CH. Pan-cancer copy number variant analysis identifies optimized size thresholds and co-occurrence models for individualized risk-stratification. Res Sq 2024:rs.3.rs-3443805. [PMID: 38260689 PMCID: PMC10802684 DOI: 10.21203/rs.3.rs-3443805/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Chromosome instability leading to accumulation of copy number gains or losses is a hallmark of cancer. Copy number variant (CNV) signatures are increasingly used for clinical risk-stratification, but size thresholds for defining CNVs are variable and the biological or clinical implications of CNV size heterogeneity or co-occurrence patterns are incompletely understood. Here we analyze CNV and clinical data from 565 meningiomas and 9,885 tumors from The Cancer Genome Atlas (TCGA) to develop tumor-and chromosome-specific CNV size-dependent and co-occurrence models for clinical outcomes. Our results reveal prognostic CNVs with optimized size thresholds and co-occurrence patterns that refine risk-stratification across a diversity of human cancers.
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49
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Sun Y, Wu P, Zhang Z, Wang Z, Zhou K, Song M, Ji Y, Zang F, Lou L, Rao K, Wang P, Gu Y, Gu J, Lu B, Chen L, Pan X, Zhao X, Peng L, Liu D, Chen X, Wu K, Lin P, Wu L, Su Y, Du M, Hou Y, Yang X, Qiu S, Shi Y, Sun H, Zhou J, Huang X, Peng DH, Zhang L, Fan J. Integrated multi-omics profiling to dissect the spatiotemporal evolution of metastatic hepatocellular carcinoma. Cancer Cell 2024; 42:135-156.e17. [PMID: 38101410 DOI: 10.1016/j.ccell.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 09/27/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023]
Abstract
Comprehensive molecular analyses of metastatic hepatocellular carcinoma (HCC) are lacking. Here, we generate multi-omic profiling of 257 primary and 176 metastatic regions from 182 HCC patients. Primary tumors rich in hypoxia signatures facilitated polyclonal dissemination. Genomic divergence between primary and metastatic HCC is high, and early dissemination is prevalent. The remarkable neoantigen intratumor heterogeneity observed in metastases is associated with decreased T cell reactivity, resulting from disruptions to neoantigen presentation. We identify somatic copy number alterations as highly selected events driving metastasis. Subclones without Wnt mutations show a stronger selective advantage for metastasis than those with Wnt mutations and are characterized by a microenvironment rich in activated fibroblasts favoring a pro-metastatic phenotype. Finally, metastases without Wnt mutations exhibit higher enrichment of immunosuppressive B cells that mediate terminal exhaustion of CD8+ T cells via HLA-E:CD94-NKG2A checkpoint axis. Collectively, our results provide a multi-dimensional dissection of the complex evolutionary process of metastasis.
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Affiliation(s)
- Yunfan Sun
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China.
| | - Pin Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Zefan Zhang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Zejian Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kaiqian Zhou
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Minfang Song
- Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | - Yuan Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Fenglin Zang
- Department of Pathology, Liver Cancer Research Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Limu Lou
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Keqiang Rao
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Pengxiang Wang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Yutong Gu
- Department of Orthopaedic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Jie Gu
- Department of Thoracic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Binbin Lu
- Dunwill Med-Tech, Shanghai 200032, China
| | | | - Xiuqi Pan
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Xiaojing Zhao
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Lihua Peng
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Dongbing Liu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Xiaofang Chen
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Kui Wu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Penghui Lin
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Liang Wu
- BGI Research, Shenzhen 518083, China
| | - Yulin Su
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Min Du
- Department of Pathology, Huadong Hospital, Fudan University, Shanghai 200032, China
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xinrong Yang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Shuangjian Qiu
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Yinghong Shi
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Huichuan Sun
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Jian Zhou
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Xingxu Huang
- Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | | | - Liye Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China.
| | - Jia Fan
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China.
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Chen N, Tyler LC, Le AT, Welsh EA, Fang B, Elliott A, Davies KD, Danhorn T, Riely GJ, Ladanyi M, Haura EB, Doebele RC. MIG6 Mediates Adaptive and Acquired Resistance to ALK/ROS1 Fusion Kinase Inhibition through EGFR Bypass Signaling. Mol Cancer Ther 2024; 23:92-105. [PMID: 37748191 PMCID: PMC10762338 DOI: 10.1158/1535-7163.mct-23-0218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/10/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023]
Abstract
Despite the initial benefit from tyrosine kinase inhibitors (TKI) targeting oncogenic ALK and ROS1 gene fusions in non-small cell lung cancer, complete responses are rare and resistance ultimately emerges from residual tumor cells. Although several acquired resistance mechanisms have been reported at the time of disease progression, adaptative resistance mechanisms that contribute to residual diseases before the outgrowth of tumor cells with acquired resistance are less clear. For the patients who have progressed after TKI treatments, but do not demonstrate ALK/ROS1 kinase mutations, there is a lack of biomarkers to guide effective treatments. Herein, we found that phosphorylation of MIG6, encoded by the ERRFI1 gene, was downregulated by ALK/ROS1 inhibitors as were mRNA levels, thus potentiating EGFR activity to support cell survival as an adaptive resistance mechanism. MIG6 downregulation was sustained following chronic exposure to ALK/ROS1 inhibitors to support the establishment of acquired resistance. A higher ratio of EGFR to MIG6 expression was found in ALK TKI-treated and ALK TKI-resistant tumors and correlated with the poor responsiveness to ALK/ROS1 inhibition in patient-derived cell lines. Furthermore, we identified and validated a MIG6 EGFR-binding domain truncation mutation in mediating resistance to ROS1 inhibitors but sensitivity to EGFR inhibitors. A MIG6 deletion was also found in a patient after progressing to ROS1 inhibition. Collectively, this study identifies MIG6 as a novel regulator for EGFR-mediated adaptive and acquired resistance to ALK/ROS1 inhibitors and suggests EGFR to MIG6 ratios and MIG6-damaging alterations as biomarkers to predict responsiveness to ALK/ROS1 and EGFR inhibitors.
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Affiliation(s)
- Nan Chen
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Logan C. Tyler
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Anh T. Le
- Cell Technologies Shared Resources, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Eric A. Welsh
- Biostatistics and Bioinformatics Shared Resources, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Bin Fang
- Proteomics & Metabolomics Core, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Andrew Elliott
- Clinical and Translational Research, Caris Life Sciences, Phoenix, Arizona
| | - Kurtis D. Davies
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Thomas Danhorn
- Department of Pharmacology and of University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Gregory J. Riely
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Eric B. Haura
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Robert C. Doebele
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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