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Deng EZ, Marino GB, Clarke DJB, Diamant I, Resnick AC, Ma W, Wang P, Ma'ayan A. Multiomics2Targets identifies targets from cancer cohorts profiled with transcriptomics, proteomics, and phosphoproteomics. CELL REPORTS METHODS 2024; 4:100839. [PMID: 39127042 DOI: 10.1016/j.crmeth.2024.100839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 06/06/2024] [Accepted: 07/19/2024] [Indexed: 08/12/2024]
Abstract
The availability of data from profiling of cancer patients with multiomics is rapidly increasing. However, integrative analysis of such data for personalized target identification is not trivial. Multiomics2Targets is a platform that enables users to upload transcriptomics, proteomics, and phosphoproteomics data matrices collected from the same cohort of cancer patients. After uploading the data, Multiomics2Targets produces a report that resembles a research publication. The uploaded matrices are processed, analyzed, and visualized using the tools Enrichr, KEA3, ChEA3, Expression2Kinases, and TargetRanger to identify and prioritize proteins, genes, and transcripts as potential targets. Figures and tables, as well as descriptions of the methods and results, are automatically generated. Reports include an abstract, introduction, methods, results, discussion, conclusions, and references and are exportable as citable PDFs and Jupyter Notebooks. Multiomics2Targets is applied to analyze version 3 of the Clinical Proteomic Tumor Analysis Consortium (CPTAC3) pan-cancer cohort, identifying potential targets for each CPTAC3 cancer subtype. Multiomics2Targets is available from https://multiomics2targets.maayanlab.cloud/.
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Affiliation(s)
- Eden Z Deng
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Giacomo B Marino
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Daniel J B Clarke
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Ido Diamant
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Adam C Resnick
- Center for Data Driven Discovery in Biomedicine, Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1498, New York, NY 10029, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1498, New York, NY 10029, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
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Jacobsen F, Pushpadevan R, Viehweger F, Freytag M, Schlichter R, Gorbokon N, Büscheck F, Luebke AM, Putri D, Kluth M, Hube-Magg C, Hinsch A, Höflmayer D, Fraune C, Bernreuther C, Lebok P, Sauter G, Minner S, Steurer S, Simon R, Burandt E, Dum D, Lutz F, Marx AH, Krech T, Clauditz TS. Cadherin-17 (CDH17) expression in human cancer: A tissue microarray study on 18,131 tumors. Pathol Res Pract 2024; 256:155175. [PMID: 38452580 DOI: 10.1016/j.prp.2024.155175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/25/2024] [Accepted: 01/25/2024] [Indexed: 03/09/2024]
Abstract
Cadherin-17 (CDH17) is a membranous cell adhesion protein predominantly expressed in intestinal epithelial cells. CDH17 is therefore considered a possible diagnostic and therapeutic target. This study was to comprehensively determine the expression of CDH17 in cancer and to further assess the diagnostic utility of CDH17 immunohistochemistry (IHC). A tissue microarray containing 14,948 interpretable samples from 150 different tumor types and subtypes as well as 76 different normal tissue types was analyzed by IHC. In normal tissues, a membranous CDH17 staining was predominantly seen in the epithelium of the intestine and pancreatic excretory ducts. In tumors, 53 of 150 analyzed categories showed CDH17 positivity including 26 categories with at least one strongly positive case. CDH17 positivity was most common in epithelial and neuroendocrine colorectal neoplasms (50.0%-100%), other gastrointestinal adenocarcinomas (42.7%-61.6%), mucinous ovarian cancer (61.1%), pancreatic acinar cell carcinoma (28.6%), cervical adenocarcinoma (52.6%), bilio-pancreatic adenocarcinomas (40.5-69.8%), and other neuroendocrine neoplasms (5.6%-100%). OnIy 9.9% of 182 pulmonary adenocarcinomas were CDH17 positive. In colorectal adenocarcinomas, reduced CDH17 staining was linked to high pT (p = 0.0147), nodal metastasis (p = 0.0041), V1 (p = 0.0025), L1 (p = 0.0054), location in the right colon (p = 0.0033), and microsatellite instability (p < 0.0001). The CDH17 expression level was unrelated to tumor phenotype in gastric and pancreatic cancer. In summary, our comprehensive overview on CDH17 expression in human tumors identified various tumor entities that might often benefit from anti-CDH17 therapies and suggest utility of CDH17 IHC for the distinction of metastatic gastrointestinal or bilio-pancreatic adenocarcinomas (often positive) from primary pulmonary adenocarcinomas (mostly negative).
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Affiliation(s)
- Frank Jacobsen
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ramesh Pushpadevan
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Florian Viehweger
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Morton Freytag
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ria Schlichter
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Natalia Gorbokon
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franziska Büscheck
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas M Luebke
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Devita Putri
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martina Kluth
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Claudia Hube-Magg
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andrea Hinsch
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Doris Höflmayer
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Fraune
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Bernreuther
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Patrick Lebok
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Institute of Pathology, Clinical Center Osnabrueck, Osnabrueck, Germany
| | - Guido Sauter
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sarah Minner
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Steurer
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ronald Simon
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Eike Burandt
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - David Dum
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Florian Lutz
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas H Marx
- Department of Pathology, Academic Hospital Fuerth, Fuerth, Germany
| | - Till Krech
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Institute of Pathology, Clinical Center Osnabrueck, Osnabrueck, Germany
| | - Till S Clauditz
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Wong KK. Integrated transcriptomics and proteomics data analysis identifies CDH17 as a key cell surface target in colorectal cancer. Comput Biol Chem 2023; 105:107897. [PMID: 37247573 DOI: 10.1016/j.compbiolchem.2023.107897] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 03/28/2023] [Accepted: 05/20/2023] [Indexed: 05/31/2023]
Abstract
Immunotherapy development against colorectal cancer (CRC) is hindered by the lack of cell surface target highly expressed in cancer cells but with restricted presence in normal tissues to minimize off-tumor toxicities. In this in silico analysis, a longlist of genes (n = 13,488) expressed in CRCs according to the Human Protein Atlas (HPA) database were evaluated to shortlist for potential surface targets based on the following prerequisites: (i) Absent from the brain and lung tissues to minimize the likelihood of neurologic and pulmonary toxicities; (ii) Restricted expression profile in other normal human tissues; (iii) Genes that potentially encode cell surface proteins and; (iv) At least moderately expressed in CRC cases. Fifteen potential targets were shortlisted and subsequently ranked according to the combination of their transcript and protein expression levels in CRCs derived from multiple datasets (i.e. DepMap, TCGA, CPTAC-2, and HPA CRCs). The top-ranked target with the highest and homogenous expression in CRCs was cadherin 17 (CDH17). Downstream analysis of CRC transcriptomics and proteomics datasets showed that CDH17 was significantly correlated with carcinoembryonic antigen expression. Moreover, CDH17 expression was significantly lower in CRC cases with high microsatellite instability, as well as negatively associated with immune response gene sets and the expression of MHC class I and II molecules. CDH17 represents an optimal target for therapeutic development against CRCs, and this study provides a novel framework to identify key cell surface targets for therapeutic development against other malignancies.
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Affiliation(s)
- Kah Keng Wong
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kelantan, Malaysia.
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Wang Y, Yi Y, Pan S, Zhang Y, Fu J, Wu X, Qin X. Angiopoietin-like protein 3 promotes colorectal cancer progression and liver metastasis partly via the mitogen-activated protein kinase 14 pathway. Mol Carcinog 2023; 62:546-560. [PMID: 36692110 DOI: 10.1002/mc.23506] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/20/2022] [Accepted: 01/10/2023] [Indexed: 01/25/2023]
Abstract
Colorectal cancer (CRC) remains one of the most common malignancies worldwide, and liver metastasis represents a considerable challenge during CRC treatment. Aberrant expression of angiopoietin-like protein 3 (ANGPTL3) has been reported in several human cancer types. However, the function and mechanism of ANGPTL3 in CRC remain unclear. In this study, we first explored ANGPTL3 expression profiles in CRC datasets from ONCOMINE and in local samples from patients with CRC. We then elucidated the function of ANGPTL3 via knockdown and overexpression experiments. Bioinformatic analyses were performed to investigate the biological function and associated molecular mechanisms of ANGPTL3 in CRC oncogenesis and development. Finally, a xenograft model of liver metastasis was used to determine the role of ANGPTL3 in CRC metastasis. Our findings indicated that ANGPTL3 expression was upregulated in human CRC tissues, with high ANGPTL3 expression significantly correlated with poor survival of patients with CRC. ANGPTL3 overexpression promoted the proliferation and migration of CRC cells partially through mitogen-activated protein kinase 14 (MAPK14), while ANGPTL3 silencing had the opposite effect. Moreover, ANGPTL3 downregulation suppressed tumor growth and liver metastasis in xenograft mice. Collectively, the results presented here indicate that ANGPTL3 promotes cell proliferation and liver metastasis partly via MAPK14, suggesting that ANGPTL3 plays a tumor-promoting role in CRC progression and thus may represent a therapeutic target for CRC treatment.
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Affiliation(s)
- Yuexia Wang
- Department of General Surgery, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Yi Yi
- Department of General Surgery, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Shengli Pan
- Department of General Surgery, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Yuhao Zhang
- Department of General Surgery, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Jun Fu
- Department of General Surgery, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Xiaolin Wu
- Central Laboratory, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Xianju Qin
- Department of General Surgery, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
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Pei XM, Wong HT, Ng SSM, Leung WW, Wong YN, Tsang HF, Chan AKC, Wong YKE, Yu ACS, Yim AKY, Cho WCS, Chan JKC, Wong KF, Luk JM, Tai WCS, Wong SCC. The diagnostic significance of CDH17-positive circulating tumor cells in patients with colorectal cancer. Expert Rev Mol Diagn 2023; 23:171-179. [PMID: 36744385 DOI: 10.1080/14737159.2023.2176223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Colorectal cancer (CRC) is the second leading cause of cancer deaths in Hong Kong. We tested the hypothesis that circulating tumor cell (CTC) analysis by ARB101 antibody could be used as a tool for CRC detection, progression, and therapy response. RESEARCH METHODS ARB101 antibody was used for investigation of CDH17 expression in formalin-fixed, paraffin-embedded (FFPE) tissue sections and circulating tumor cells (CTCs) of CRC patients. RESULTS Using ARB101, highest sensitivity was observed in 98/100 (98%) colorectal cancer tissue compared to 72/100 gastric cancer (72%) and 27/32 pancreatic cancer (84%). Immunoreactivity of CDH17 was significantly higher in distant metastatic (tumor-node-metastasis [TNM] stage IV) than non-distant metastatic (TNM stage I to III) CRC. ARB101 antibody also manifested the higher sensitivity than c-erbB2 (8%) and epidermal growth factor receptor (EGFR)-targeting antibodies (37%) with the significance (p < 0.0001). ARB101 positive CTCs were detected in 64/83 (77%) TNM stage I to IV CRC patients. Furthermore, ARB101 positive CTCs detected in TNM stage I to III CRC patients before and after surgical operation are statistically significant (p < 0.0001). CONCLUSIONS CTC detection by ARB101 antibody could serve as a potential non-invasive approach for CRC detection, progression, and monitoring of treatment response.
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Affiliation(s)
- Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Macao, Macau Special Administrative Region, China
| | - Simon Siu Man Ng
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | - Wing Wa Leung
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | - Yee Ni Wong
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Amanda Kit Ching Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Allen Chi Shing Yu
- Department of Research and Develpment, Codex Genetics Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - Aldrin Kay Yuen Yim
- Department of Research and Develpment, Codex Genetics Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - John Kwok Cheung Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwong Fai Wong
- Department of Research and Develpment Arbele Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - John M Luk
- Department of Research and Develpment Arbele Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - William Chi Shing Tai
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China.,Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
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Choi HB, Pyo JS, Son S, Kim K, Kang G. Diagnostic and Prognostic Roles of CDX2 Immunohistochemical Expression in Colorectal Cancers. Diagnostics (Basel) 2022; 12:diagnostics12030757. [PMID: 35328309 PMCID: PMC8947721 DOI: 10.3390/diagnostics12030757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 03/16/2022] [Accepted: 03/18/2022] [Indexed: 02/05/2023] Open
Abstract
The study is aimed to evaluate the diagnostic and prognostic role of the immunohistochemical expression of the Caudal-type homeobox transcription factor 2 (CDX2) in colorectal cancers (CRCs) through a meta-analysis. By searching relevant databases, 38 articles were eligible to be included in this study. We extracted the information for CDX2 expression rates and the correlation between CDX2 expression and clinicopathological characteristics. The estimated rates of CDX2 expression were 0.882 [95% confidence interval (CI) 0.774−0.861] and 0.893 (95% CI 0.820−0.938) in primary and metastatic CRCs, respectively. Furthermore, based on their histologic subtype, CDX2 expression rates of adenocarcinoma and medullary carcinoma were 0.886 (95% CI 0.837−0.923) and 0.436 (95% CI 0.269−0.618), respectively. There was a significant difference in CDX2 expression rates between adenocarcinoma and medullary carcinoma in the meta-regression test (p < 0.001). In addition, CDX2 expression was significantly lower in CRCs with the BRAFV600E mutation than in CRCs without mutation. Patients with CDX2 expression had better overall and cancer-specific survival rates than those without CDX2 expression. Thus, CDX2 is a useful diagnostic and prognostic marker CRCs.
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Affiliation(s)
- Hong Bae Choi
- Department of Surgery, Daehang Hospital, Seoul 06699, Korea
| | - Jung-Soo Pyo
- Department of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Korea
| | - Soomin Son
- Division of Molecular Life and Chemical Sciences, College of Natural Sciences, Ewha Woman's University, Seoul 03760, Korea
| | | | - Guhyun Kang
- Department of Pathology, Daehang Hospital, Seoul 06699, Korea
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Novel Diagnostic Biomarkers in Colorectal Cancer. Int J Mol Sci 2022; 23:ijms23020852. [PMID: 35055034 PMCID: PMC8776048 DOI: 10.3390/ijms23020852] [Citation(s) in RCA: 77] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/27/2021] [Accepted: 01/03/2022] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) is still a leading cause of cancer death worldwide. Less than half of cases are diagnosed when the cancer is locally advanced. CRC is a heterogenous disease associated with a number of genetic or somatic mutations. Diagnostic markers are used for risk stratification and early detection, which might prolong overall survival. Nowadays, the widespread use of semi-invasive endoscopic methods and feacal blood tests characterised by suboptimal accuracy of diagnostic results has led to the detection of cases at later stages. New molecular noninvasive tests based on the detection of CRC alterations seem to be more sensitive and specific then the current methods. Therefore, research aiming at identifying molecular markers, such as DNA, RNA and proteins, would improve survival rates and contribute to the development of personalized medicine. The identification of “ideal” diagnostic biomarkers, having high sensitivity and specificity, being safe, cheap and easy to measure, remains a challenge. The purpose of this review is to discuss recent advances in novel diagnostic biomarkers for tumor tissue, blood and stool samples in CRC patients.
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