1
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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] [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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2
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Thng DKH, Hooi L, Siew BE, Lee KY, Tan IJW, Lieske B, Lin NS, Kow AWC, Wang S, Rashid MBMA, Ang C, Koh JJM, Toh TB, Tan KK, Chow EKH. A functional personalised oncology approach against metastatic colorectal cancer in matched patient derived organoids. NPJ Precis Oncol 2024; 8:52. [PMID: 38413740 PMCID: PMC10899621 DOI: 10.1038/s41698-024-00543-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/08/2024] [Indexed: 02/29/2024] Open
Abstract
Globally, colorectal cancer (CRC) is the third most frequently occurring cancer. Progression on to an advanced metastatic malignancy (metCRC) is often indicative of poor prognosis, as the 5-year survival rates of patients decline rapidly. Despite the availability of many systemic therapies for the management of metCRC, the long-term efficacies of these regimens are often hindered by the emergence of treatment resistance due to intratumoral and intertumoral heterogeneity. Furthermore, not all systemic therapies have associated biomarkers that can accurately predict patient responses. Hence, a functional personalised oncology (FPO) approach can enable the identification of patient-specific combinatorial vulnerabilities and synergistic combinations as effective treatment strategies. To this end, we established a panel of CRC patient-derived organoids (PDOs) as clinically relevant biological systems, of which three pairs of matched metCRC PDOs were derived from the primary sites (ptCRC) and metastatic lesions (mCRC). Histological and genomic characterisation of these PDOs demonstrated the preservation of histopathological and genetic features found in the parental tumours. Subsequent application of the phenotypic-analytical drug combination interrogation platform, Quadratic Phenotypic Optimisation Platform, in these pairs of PDOs identified patient-specific drug sensitivity profiles to epigenetic-based combination therapies. Most notably, matched PDOs from one patient exhibited differential sensitivity patterns to the rationally designed drug combinations despite being genetically similar. These findings collectively highlight the limitations of current genomic-driven precision medicine in guiding treatment strategies for metCRC patients. Instead, it suggests that epigenomic profiling and application of FPO could complement the identification of novel combinatorial vulnerabilities to target synchronous ptCRC and mCRC.
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Affiliation(s)
- Dexter Kai Hao Thng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Lissa Hooi
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Bei En Siew
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kai-Yin Lee
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Ian Jse-Wei Tan
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Bettina Lieske
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Norman Sihan Lin
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Alfred Wei Chieh Kow
- Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Shi Wang
- Department of Pathology, National University Hospital, National University Health System, Singapore, Singapore
| | | | - Chermaine Ang
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jasmin Jia Min Koh
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tan Boon Toh
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
- The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ker-Kan Tan
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, National University Health System, Singapore, Singapore.
| | - Edward Kai-Hua Chow
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore.
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3
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Heiser CN, Simmons AJ, Revetta F, McKinley ET, Ramirez-Solano MA, Wang J, Kaur H, Shao J, Ayers GD, Wang Y, Glass SE, Tasneem N, Chen Z, Qin Y, Kim W, Rolong A, Chen B, Vega PN, Drewes JL, Markham NO, Saleh N, Nikolos F, Vandekar S, Jones AL, Washington MK, Roland JT, Chan KS, Schürpf T, Sears CL, Liu Q, Shrubsole MJ, Coffey RJ, Lau KS. Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors. Cell 2023; 186:5620-5637.e16. [PMID: 38065082 PMCID: PMC10756562 DOI: 10.1016/j.cell.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/23/2023] [Accepted: 11/02/2023] [Indexed: 12/18/2023]
Abstract
Colorectal cancer exhibits dynamic cellular and genetic heterogeneity during progression from precursor lesions toward malignancy. Analysis of spatial multi-omic data from 31 human colorectal specimens enabled phylogeographic mapping of tumor evolution that revealed individualized progression trajectories and accompanying microenvironmental and clonal alterations. Phylogeographic mapping ordered genetic events, classified tumors by their evolutionary dynamics, and placed clonal regions along global pseudotemporal progression trajectories encompassing the chromosomal instability (CIN+) and hypermutated (HM) pathways. Integrated single-cell and spatial transcriptomic data revealed recurring epithelial programs and infiltrating immune states along progression pseudotime. We discovered an immune exclusion signature (IEX), consisting of extracellular matrix regulators DDR1, TGFBI, PAK4, and DPEP1, that charts with CIN+ tumor progression, is associated with reduced cytotoxic cell infiltration, and shows prognostic value in independent cohorts. This spatial multi-omic atlas provides insights into colorectal tumor-microenvironment co-evolution, serving as a resource for stratification and targeted treatments.
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Affiliation(s)
- Cody N Heiser
- Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Alan J Simmons
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Frank Revetta
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Eliot T McKinley
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Marisol A Ramirez-Solano
- Department of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Jiawei Wang
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Harsimran Kaur
- Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Justin Shao
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA
| | - Gregory D Ayers
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Yu Wang
- Department of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Sarah E Glass
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Naila Tasneem
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Zhengyi Chen
- Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Yan Qin
- Incendia Therapeutics, Inc., Boston, MA 02135, USA
| | - William Kim
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Andrea Rolong
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Bob Chen
- Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Paige N Vega
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Julia L Drewes
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nicholas O Markham
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Nabil Saleh
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Fotis Nikolos
- Department of Urology, Neal Cancer Center, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Simon Vandekar
- Department of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Angela L Jones
- Vanderbilt Technologies for Advanced Genomics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - M Kay Washington
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Joseph T Roland
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Keith S Chan
- Department of Urology, Neal Cancer Center, Houston Methodist Research Institute, Houston, TX 77030, USA
| | | | - Cynthia L Sears
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Qi Liu
- Department of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Martha J Shrubsole
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Robert J Coffey
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
| | - Ken S Lau
- Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
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4
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Kawachi K, Tang X, Kasajima R, Yamanaka T, Shimizu E, Katayama K, Yamaguchi R, Yokoyama K, Yamaguchi K, Furukawa Y, Miyano S, Imoto S, Yoshioka E, Washimi K, Okubo Y, Sato S, Yokose T, Miyagi Y. Genetic analysis of low-grade adenosquamous carcinoma of the breast progressing to high-grade metaplastic carcinoma. Breast Cancer Res Treat 2023; 202:563-573. [PMID: 37650999 PMCID: PMC10564816 DOI: 10.1007/s10549-023-07078-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/07/2023] [Indexed: 09/01/2023]
Abstract
PURPOSE Low-grade adenosquamous carcinoma (LGASC) is a rare type of metaplastic carcinoma of the breast (MBC) with an indolent clinical course. A few LGASC cases with high-grade transformation have been reported; however, the genetics underlying malignant progression of LGASC remain unclear. METHODS We performed whole-genome sequencing analysis on five MBCs from four patients, including one case with matching primary LGASC and a lymph node metastatic tumor consisting of high-grade MBC with a predominant metaplastic squamous cell carcinoma component (MSC) that progressed from LGASC and three cases of independent de novo MSC. RESULTS Unlike de novo MSC, LGASC and its associated MSC showed no TP53 mutation and tended to contain fewer structural variants than de novo MSC. Both LGASC and its associated MSC harbored the common GNAS c.C2530T:p.Arg844Cys mutation, which was more frequently detected in the cancer cell fraction of MSC. MSC associated with LGASC showed additional pathogenic deletions of multiple tumor-suppressor genes, such as KMT2D and BTG1. Copy number analysis revealed potential 18q loss of heterozygosity in both LGASC and associated MSC. The frequency of SMAD4::DCC fusion due to deletions increased with progression to MSC; however, chimeric proteins were not detected. SMAD4 protein expression was already decreased at the LGASC stage due to unknown mechanisms. CONCLUSION Not only LGASC but also its associated high-grade MBC may be genetically different from de novo high-grade MBC. Progression from LGASC to high-grade MBC may involve the concentration of driver mutations caused by clonal selection and inactivation of tumor-suppressor genes.
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Affiliation(s)
- Kae Kawachi
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
- Department of Pathology, The Jikei University School of Medicine, 3-25-8 Nishishinbashi, Minato-ku, Tokyo, Japan
| | - Xiaoyan Tang
- Department of Pathology, Nihon University Hospital, 1-6 Kandasurugadai, Chiyoda-ku, Tokyo, Japan
| | - Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Takashi Yamanaka
- Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Kotoe Katayama
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Japan
- Division of Cancer Informatics, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-ku, Nagoya, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Satoru Miyano
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
- Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, 2-3-10 Kandasurugadai, Chiyoda-ku, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Emi Yoshioka
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Kota Washimi
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Yoichiro Okubo
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Shinya Sato
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Tomoyuki Yokose
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan.
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5
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Nishimura Y, Ryo E, Inoue S, Kawazu M, Ueno T, Namikawa K, Takahashi A, Ogata D, Yoshida A, Yamazaki N, Mano H, Yatabe Y, Mori T. Strategic Approach to Heterogeneity Analysis of Cutaneous Adnexal Carcinomas Using Computational Pathology and Genomics. JID INNOVATIONS 2023; 3:100229. [PMID: 37965425 PMCID: PMC10641284 DOI: 10.1016/j.xjidi.2023.100229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 07/30/2023] [Accepted: 08/07/2023] [Indexed: 11/16/2023] Open
Abstract
Cutaneous adnexal tumors are neoplasms that arise from skin appendages. Their morphologic diversity and phenotypic variability with rare progression to malignancy make them difficult to diagnose and classify, and there is currently no established treatment strategy. To overcome these difficulties, this study investigated the transcription factor SOX9 expression, morphology, and genetics of skin adnexal tumors for understanding their biology, especially their histogenesis. We showed that cutaneous adnexal tumors and their nontumor counterparts of skin and appendages exhibit expression patterns similar to that of SOX9. Its expression intensity and pattern, as well as histopathologic evaluation of tumors, were analyzed using digital images of 69 normal skin adnexal 9-type organs and 185 skin adnexal 29-type tumors as references. It was possible to distinguish basal cell carcinoma from squamous cell carcinoma, sebaceous carcinoma, and pilomatrixoma with significant differences, along with porocarcinoma from squamous cell carcinoma. Furthermore, unsupervised machine learning "computational pathology" was used to derive a multiregion whole-exome sequencing fusion method termed "genocomputed pathology." The genocomputed pathology of three representable adnexal carcinomas (porocarcinoma, hidradenocarcinoma, and spiradenocarcinoma) was evaluated for total nine cases. We showed that there was more heterogeneity than expected within the tumors as well as the coexistence of components lacking driver fusion genes. The presence or absence of potential driver genes, such as PIK3CA, YAP1, and PTEN, in each region was identified, highlighting a therapeutic strategy for cutaneous adnexal carcinoma encompassing heterogeneous tumors.
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Affiliation(s)
- Yuuki Nishimura
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
- Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Eijitsu Ryo
- Division of Molecular Pathology, National Cancer Center Reserch Institute, Tokyo, Japan
| | - Satoshi Inoue
- Division of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan
| | - Masahito Kawazu
- Division of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan
| | - Kenjiro Namikawa
- Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Akira Takahashi
- Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Dai Ogata
- Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Akihiko Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Naoya Yamazaki
- Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Hiroyuki Mano
- Division of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
- Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Division of Molecular Pathology, National Cancer Center Reserch Institute, Tokyo, Japan
| | - Taisuke Mori
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
- Division of Molecular Pathology, National Cancer Center Reserch Institute, Tokyo, Japan
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6
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Qiu MZ, Chen Q, Zheng DY, Zhao Q, Wu QN, Zhou ZW, Yang LQ, Luo QY, Sun YT, Lai MY, Yuan SS, Wang FH, Luo HY, Wang F, Li YH, Zhang HZ, Xu RH. Precise microdissection of gastric mixed adeno-neuroendocrine carcinoma dissects its genomic landscape and evolutionary clonal origins. Cell Rep 2023; 42:112576. [PMID: 37285266 DOI: 10.1016/j.celrep.2023.112576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/02/2023] [Accepted: 05/15/2023] [Indexed: 06/09/2023] Open
Abstract
Gastric mixed adenoneuroendocrine carcinoma (MANEC) is a clinically aggressive and heterogeneous tumor composed of adenocarcinoma (ACA) and neuroendocrine carcinoma (NEC). The genomic properties and evolutionary clonal origins of MANEC remain unclear. We conduct whole-exome and multiregional sequencing on 101 samples from 33 patients to elucidate their evolutionary paths. We identify four significantly mutated genes, TP53, RB1, APC, and CTNNB1. MANEC resembles chromosomal instability stomach adenocarcinoma in that whole-genome doubling in MANEC is predominant and occurs earlier than most copy-number losses. All tumors are of monoclonal origin, and NEC components show more aggressive genomic properties than their ACA counterparts. The phylogenetic trees show two tumor divergence patterns, including sequential and parallel divergence. Furthermore, ACA-to-NEC rather than NEC-to-ACA transition is confirmed by immunohistochemistry on 6 biomarkers in ACA- and NEC-dominant regions. These results provide insights into the clonal origin and tumor differentiation of MANEC.
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Affiliation(s)
- Miao-Zhen Qiu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Qingjian Chen
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China; State Key Laboratory of Systems Medicine for Cancer, Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, P.R. China
| | - Dan-Yang Zheng
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China; Department of Clinical Oncology, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Qi Zhao
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Qi-Nian Wu
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Zhi-Wei Zhou
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Li-Qiong Yang
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Qiu-Yun Luo
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Yu-Ting Sun
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Ming-Yu Lai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Sha-Sha Yuan
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Feng-Hua Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Hui-Yan Luo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Feng Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Yu-Hong Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Hui-Zhong Zhang
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Rui-Hua Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, P.R. China.
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7
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Cortes-Ciriano I, Steele CD, Piculell K, Al-Ibraheemi A, Eulo V, Bui MM, Chatzipli A, Dickson BC, Borcherding DC, Feber A, Galor A, Hart J, Jones KB, Jordan JT, Kim RH, Lindsay D, Miller C, Nishida Y, Proszek PZ, Serrano J, Sundby RT, Szymanski JJ, Ullrich NJ, Viskochil D, Wang X, Snuderl M, Park PJ, Flanagan AM, Hirbe AC, Pillay N, Miller DT. Genomic Patterns of Malignant Peripheral Nerve Sheath Tumor (MPNST) Evolution Correlate with Clinical Outcome and Are Detectable in Cell-Free DNA. Cancer Discov 2023; 13:654-671. [PMID: 36598417 PMCID: PMC9983734 DOI: 10.1158/2159-8290.cd-22-0786] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/09/2022] [Accepted: 12/16/2022] [Indexed: 01/05/2023]
Abstract
Malignant peripheral nerve sheath tumor (MPNST), an aggressive soft-tissue sarcoma, occurs in people with neurofibromatosis type 1 (NF1) and sporadically. Whole-genome and multiregional exome sequencing, transcriptomic, and methylation profiling of 95 tumor samples revealed the order of genomic events in tumor evolution. Following biallelic inactivation of NF1, loss of CDKN2A or TP53 with or without inactivation of polycomb repressive complex 2 (PRC2) leads to extensive somatic copy-number aberrations (SCNA). Distinct pathways of tumor evolution are associated with inactivation of PRC2 genes and H3K27 trimethylation (H3K27me3) status. Tumors with H3K27me3 loss evolve through extensive chromosomal losses followed by whole-genome doubling and chromosome 8 amplification, and show lower levels of immune cell infiltration. Retention of H3K27me3 leads to extensive genomic instability, but an immune cell-rich phenotype. Specific SCNAs detected in both tumor samples and cell-free DNA (cfDNA) act as a surrogate for H3K27me3 loss and immune infiltration, and predict prognosis. SIGNIFICANCE MPNST is the most common cause of death and morbidity for individuals with NF1, a relatively common tumor predisposition syndrome. Our results suggest that somatic copy-number and methylation profiling of tumor or cfDNA could serve as a biomarker for early diagnosis and to stratify patients into prognostic and treatment-related subgroups. This article is highlighted in the In This Issue feature, p. 517.
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Affiliation(s)
- Isidro Cortes-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom
| | - Christopher D. Steele
- Research Department of Pathology, University College London Cancer Institute, Bloomsbury, London, United Kingdom
| | - Katherine Piculell
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts
| | - Alyaa Al-Ibraheemi
- Department of Pathology, Boston Children's Hospital, Boston, Massachusetts
| | - Vanessa Eulo
- Division of Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Marilyn M. Bui
- Department of Pathology, Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Aikaterini Chatzipli
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Brendan C. Dickson
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Dana C. Borcherding
- Division of Oncology, Departments of Internal Medicine and Pediatrics, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Andrew Feber
- Clinical Genomics Translational Research, Institute of Cancer Research, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Alon Galor
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Jesse Hart
- Department of Pathology, Lifespan Laboratories, Rhode Island Hospital, Providence, Rhode Island
| | - Kevin B. Jones
- Departments of Orthopaedics and Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Justin T. Jordan
- Pappas Center for Neuro-oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Raymond H. Kim
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Sinai Health System, Toronto, Ontario, Canada
- Hospital for Sick Children, University of Toronto, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Daniel Lindsay
- Department of Histopathology, Royal National Orthopaedic Hospital, NHS Trust, Middlesex, United Kingdom
| | - Colin Miller
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom
| | - Yoshihiro Nishida
- Department of Rehabilitation Medicine, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Paula Z. Proszek
- Clinical Genomics Translational Research, Institute of Cancer Research, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Jonathan Serrano
- Department of Pathology, New York University Langone Health, Perlmutter Cancer Center, New York City, New York
| | - R. Taylor Sundby
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Jeffrey J. Szymanski
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Nicole J. Ullrich
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - David Viskochil
- Division of Medical Genetics, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Xia Wang
- GeneHome, Department of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Matija Snuderl
- Department of Pathology, New York University Langone Health, Perlmutter Cancer Center, New York City, New York
| | - Peter J. Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Adrienne M. Flanagan
- Research Department of Pathology, University College London Cancer Institute, Bloomsbury, London, United Kingdom
- Department of Histopathology, Royal National Orthopaedic Hospital, NHS Trust, Middlesex, United Kingdom
| | - Angela C. Hirbe
- Division of Oncology, Departments of Internal Medicine and Pediatrics, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Nischalan Pillay
- Research Department of Pathology, University College London Cancer Institute, Bloomsbury, London, United Kingdom
- Department of Histopathology, Royal National Orthopaedic Hospital, NHS Trust, Middlesex, United Kingdom
| | - David T. Miller
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts
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8
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Zhang C, Chen HF, Yan S, Wu L, Yan LX, Yan XL, Yue DS, Xu CW, Zheng M, Li JS, Liu SY, Yang LL, Jiang BY, Ou QX, Qiu ZB, Shao Y, Wu YL, Zhong WZ. Induction immune-checkpoint inhibitors for resectable oncogene-mutant NSCLC: A multicenter pooled analysis. NPJ Precis Oncol 2022; 6:66. [PMID: 36123526 PMCID: PMC9485257 DOI: 10.1038/s41698-022-00301-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 07/20/2022] [Indexed: 11/09/2022] Open
Abstract
Despite limited efficacy of immunotherapy for advanced non-small-cell lung cancer (NSCLC) with driver mutations, whether neoadjuvant immunotherapy could be clinically valuable in those patients warrants further investigation. We utilized 40 oncogene-mutant NSCLC treated with induction immunotherapy from a large consecutive multicenter cohort. Overall response rate was 62.5% while 2 patients had disease progression. Of 39 patients that received surgery, R0 resection rate was 97.4%. The major pathological response (MPR) rate was 37.5% and the pathological complete response (pCR) rate was 12.5%. Pre-treatment PD-L1 expression was not a predictive biomarker in these patients. Median disease-free survival for all oncogenic mutation and EGFR mutation was 28.5 months. Indirect comparison through integrating CTONG1103 cohort showed neoadjuvant immunotherapy plus chemotherapy yielded the most superior efficacy among erlotinib and chemotherapy for resectable EGFR-mutant NSCLC. No MPR patients were identified with neoadjuvant immunotherapy plus chemotherapy for uncommon EGFR insertion or point mutations. Our results indicated the potential clinical feasibility of neoadjuvant immunotherapy for resectable localized oncogene-mutant NSCLC especially for EGFR-mutant NSCLC.
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Affiliation(s)
- Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,School of Medicine, South China University of Technology, Guangzhou, 510006, China
| | - Hua-Fei Chen
- Department of Thoracic Disease Center, Zhejiang RongJun Hospital, Jiaxing, Zhejiang, 314000, China
| | - Shi Yan
- Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Lin Wu
- Department of Oncology, Hu Nan Provincial Tumor Hospital, Changsha, 410006, China
| | - Li-Xu Yan
- Department of Pathology, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xiao-Long Yan
- Division of Thoracic Surgery, Tang Du Hospital of Fourth Military Medical University, Xi'an, Shanxi, 710032, China
| | - Dong-Sheng Yue
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Cancer Institute and Hospital, Tianjin Medical University, Hexi, Tianjin, 300060, China
| | - Chun-Wei Xu
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan Road, Nanjing, 210002, China
| | - Min Zheng
- Department of Thoracic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, 541001, China
| | - Ji-Sheng Li
- Department of Chemotherapy, Cancer Center, Qilu Hospital, Shandong University, Jinan, 250012, China
| | - Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Ling-Ling Yang
- Geneseeq Research Institute, Geneseeq Technology Inc., Nanjing, 210032, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Qiu-Xiang Ou
- Geneseeq Research Institute, Geneseeq Technology Inc., Nanjing, 210032, China
| | - Zhen-Bin Qiu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yang Shao
- Geneseeq Research Institute, Geneseeq Technology Inc., Nanjing, 210032, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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9
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Chen Q, Wu QN, Rong YM, Wang S, Zuo Z, Bai L, Zhang B, Yuan S, Zhao Q. Deciphering clonal dynamics and metastatic routines in a rare patient of synchronous triple-primary tumors and multiple metastases with MPTevol. Brief Bioinform 2022; 23:6590438. [DOI: 10.1093/bib/bbac175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/30/2022] [Accepted: 04/18/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Multiple primary tumor (MPT) is a special and rare cancer type, defined as more than two primary tumors presenting at the diagnosis in a single patient. The molecular characteristics and tumorigenesis of MPT remain unclear due to insufficient approaches. Here, we present MPTevol, a practical computational framework for comprehensively exploring the MPT from multiregion sequencing (MRS) experiments. To verify the utility of MPTevol, we performed whole-exome MRS for 33 samples of a rare patient with triple-primary tumors and three metastatic sites and systematically investigated clonal dynamics and metastatic routines. MPTevol assists in comparing genomic profiles across samples, detecting clonal evolutionary history and metastatic routines and quantifying the metastatic history. All triple-primary tumors were independent origins and their genomic characteristics were consistent with corresponding sporadic tumors, strongly supporting their independent tumorigenesis. We further showed two independent early monoclonal seeding events for the metastases in the ovary and uterus. We revealed that two ovarian metastases were disseminated from the same subclone of the primary tumor through undergoing whole-genome doubling processes, suggesting metastases-to-metastases seeding occurred when tumors had similar microenvironments. Surprisingly, according to the metastasis timing model of MPTevol, we found that primary tumors of about 0.058–0.124 cm diameter have been disseminating to distant organs, which is much earlier than conventional clinical views. We developed MPT-specialized analysis framework MPTevol and demonstrated its utility in explicitly resolving clonal evolutionary history and metastatic seeding routines with a rare MPT case. MPTevol is implemented in R and is available at https://github.com/qingjian1991/MPTevol under the GPL v3 license.
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Affiliation(s)
- Qingjian Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China
| | - Qi-Nian Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P. R. China
| | - Yu-Ming Rong
- Department of VIP Region, Sun Yat-Sen University Cancer Center, Guangzhou 510060, P. R. China
| | - Shixiang Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China
| | - Zhixiang Zuo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China
| | - Long Bai
- Department of VIP Region, Sun Yat-Sen University Cancer Center, Guangzhou 510060, P. R. China
| | - Bei Zhang
- Department of VIP Region, Sun Yat-Sen University Cancer Center, Guangzhou 510060, P. R. China
| | - Shuqiang Yuan
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Qi Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China
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10
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Characterization of Genetic Heterogeneity in Recurrent Metastases of Renal Cell Carcinoma. Cancers (Basel) 2021; 13:cancers13246221. [PMID: 34944839 PMCID: PMC8699544 DOI: 10.3390/cancers13246221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/02/2021] [Accepted: 12/04/2021] [Indexed: 01/02/2023] Open
Abstract
Metastatic renal cell carcinoma (RCC) exhibits poor prognosis. Better knowledge of distant metastases is crucial to foster personalized treatment strategies. Here, we aimed to investigate the genetic landscape of metastases, including synchronous and/or recurrent metastases to elucidate potential drug target genes and clinically relevant mutations in a real-world setting of patients. We assessed 81 metastases from 56 RCC patients, including synchronous and/or recurrent metastases of 19 patients. Samples were analysed through next-generation sequencing with a high coverage (~1000× mean coverage). We therefore established a novel sequencing panel comprising 32 genes with impact on RCC development. We observed a high frequency of mutations in known RCC driver genes (e.g., >40% carriers of VHL and PBRM1 mutations) in metastases irrespective of the metastatic site. The somatic mutational composition was significantly associated with cancer-specific survival (p(logrank) = 0.03). Moreover, we identified in 34 patients at least one drug target gene as well as clinically relevant mutations listed in the VICC Meta-Knowledgebase in 7%. In addition to significantly higher mutational burden in recurrent metastases compared to earlier ones, synchronous and/or recurrent metastases of individual patients, even after a time-period >2 yrs, shared a high proportion of somatic events. Our data demonstrate the importance of somatic profiling in metastases for precision medicine in RCC.
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11
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Liu M, Chen J, Wang X, Wang C, Zhang X, Xie Y, Zuo Z, Ren J, Zhao Q. MesKit: a tool kit for dissecting cancer evolution of multi-region tumor biopsies through somatic alterations. Gigascience 2021; 10:6279596. [PMID: 34018555 PMCID: PMC8138830 DOI: 10.1093/gigascience/giab036] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/23/2021] [Accepted: 04/23/2021] [Indexed: 11/17/2022] Open
Abstract
Background Multi-region sequencing (MRS) has been widely used to analyze intra-tumor heterogeneity (ITH) and cancer evolution. However, comprehensive analysis of mutational data from MRS is still challenging, necessitating complicated integration of a plethora of computational and statistical approaches. Findings Here, we present MesKit, an R/Bioconductor package that can assist in characterizing genetic ITH and tracing the evolutionary history of tumors based on somatic alterations detected by MRS. MesKit provides a wide range of analysis and visualization modules, including ITH evaluation, metastatic route inference, and mutational signature identification. In addition, MesKit implements an auto-layout algorithm to generate phylogenetic trees based on somatic mutations. The application of MesKit for 2 reported MRS datasets of hepatocellular carcinoma and colorectal cancer identified known heterogeneous features and evolutionary patterns, together with potential driver events during cancer evolution. Conclusions In summary, MesKit is useful for interpreting ITH and tracing evolutionary trajectory based on MRS data. MesKit is implemented in R and available at https://bioconductor.org/packages/MesKit under the GPL v3 license.
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Affiliation(s)
- Mengni Liu
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China
| | - Jianyu Chen
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Xin Wang
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Chengwei Wang
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Xiaolong Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China
| | - Yubin Xie
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Zhixiang Zuo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China
| | - Jian Ren
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China
| | - Qi Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China
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