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Zhang XY, Hong LL, Ling ZQ. MUC16: clinical targets with great potential. Clin Exp Med 2024; 24:101. [PMID: 38758220 PMCID: PMC11101557 DOI: 10.1007/s10238-024-01365-5] [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: 03/02/2024] [Accepted: 04/29/2024] [Indexed: 05/18/2024]
Abstract
Mucin 16 (MUC16) is a membrane-bound mucin that is abnormally expressed or mutated in a variety of diseases, especially tumors, while being expressed in normal body epithelium. MUC16 and its extracellular components are often important cancer-related biomarkers. Abnormal expression of MUC16 promotes tumor progression through mesenchymal protein, PI3K/AKT pathway, JAK2/STAT3 pathway, ERK/FBW7/c-Myc, and other mechanisms, and plays an important role in the occurrence and development of tumors. In addition, MUC16 also helps tumor immune escape by inhibiting T cells and NK cells. Many drugs and trials targeting MUC16 have been developed, and MUC16 may be a new direction for future treatments. In this paper, the mechanism of action of MUC16 in the development of cancer, especially in the immune escape of tumor, is introduced in detail, indicating the potential of MUC16 in clinical treatment.
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Affiliation(s)
- Xin-Yu Zhang
- Zhejiang Cancer Institute, Zhejiang Cancer Hospital, No.1 Banshan East Rd., Gongshu District, Hangzhou, 310022, Zhejiang, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, Zhejiang, China
- The Second Clinical Medical College of Zhejiang, Chinese Medicine University, Hangzhou, 310053, China
| | - Lian-Lian Hong
- Zhejiang Cancer Institute, Zhejiang Cancer Hospital, No.1 Banshan East Rd., Gongshu District, Hangzhou, 310022, Zhejiang, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, Zhejiang, China
| | - Zhi-Qiang Ling
- Zhejiang Cancer Institute, Zhejiang Cancer Hospital, No.1 Banshan East Rd., Gongshu District, Hangzhou, 310022, Zhejiang, China.
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, Zhejiang, China.
- The Second Clinical Medical College of Zhejiang, Chinese Medicine University, Hangzhou, 310053, China.
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Kinzler MN, Schulze F, Gretser S, Abedin N, Trojan J, Zeuzem S, Schnitzbauer AA, Walter D, Wild PJ, Bankov K. Expression of MUC16/CA125 Is Associated with Impaired Survival in Patients with Surgically Resected Cholangiocarcinoma. Cancers (Basel) 2022; 14:cancers14194703. [PMID: 36230626 PMCID: PMC9563928 DOI: 10.3390/cancers14194703] [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: 08/29/2022] [Revised: 09/16/2022] [Accepted: 09/23/2022] [Indexed: 11/24/2022] Open
Abstract
MUC16/CA125 is associated with cancer proliferation in several tumor entities. The data on MUC16 expression in cholangiocarcinoma (CCA) tissue are very limited. The aim of this study was to assess the MUC16 status and its impact on survival in CCA patients. All the patients with surgically resected CCA that were diagnosed between August 2005 and December 2021 at the University Hospital Frankfurt were retrospectively analyzed. A 7-Mucin biomarker panel was assessed by immunohistochemistry. For overall survival (OS), Kaplan−Meier curves and Cox-regression analyses were performed. Randomly selected intrahepatic cholangiocarcinoma (iCCA) were further processed for differential expression profiling. A total of 168 patients with CCA were classified as MUC16 (−) (66%, n = 111) and MUC16 (+) (34%, n = 57). Subgroup analyses revealed a median OS of 56.1 months (95% CI = 42.4−69.9 months) and 27.4 months (95% CI = 15.8−39.1 months) for MUC16 (−) and MUC16 (+), respectively (p < 0.001). In multivariate analysis, MUC16 (+) (HR = 1.6, 95% CI = 1−2.6, p = 0.032) was an independent risk factor for poor prognosis. Prominently deregulated pathways have been identified following MUC16 expression, overrepresented in cell cycle and immune system exhaustion processes. These findings suggest including MUC16 in clinical routine diagnostics as well as studying its molecular pathways to identify further mechanistic key players.
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Affiliation(s)
- Maximilian N. Kinzler
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
- Correspondence: ; Tel.: +49-69-6301-5297
| | - Falko Schulze
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Steffen Gretser
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Nada Abedin
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Jörg Trojan
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Stefan Zeuzem
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Andreas A. Schnitzbauer
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Dirk Walter
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Peter J. Wild
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
- Frankfurt Institute for Advanced Studies (FIAS), 60438 Frankfurt am Main, Germany
- Frankfurt Cancer Institute (FCI), University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
| | - Katrin Bankov
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University, 60590 Frankfurt am Main, Germany
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Liu Z, Jiang Z, Wu N, Zhou G, Wang X. Classification of gastric cancers based on immunogenomic profiling. Transl Oncol 2020; 14:100888. [PMID: 33096337 PMCID: PMC7576512 DOI: 10.1016/j.tranon.2020.100888] [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: 06/18/2020] [Revised: 09/03/2020] [Accepted: 09/21/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Extensive evidence showed that gastric cancer (GC) is heterogeneous, and many studies have been focused on identifying GC subtypes based on genomic profiles. However, few studies have specifically explored the GC classification and predicted the classification accuracy that may help facilitate the optimal stratification of GC patients responsive to immunotherapy. METHODS Using two publicly available GC genomics datasets, we classified GC on the basis of 797 immune related genes. Unsupervised and supervised machine learning methods were used to predict the classification. RESULTS We identified two GC subtypes that we named as Immunity-High (IM-H) and Immunity- Low (IM-L), and demonstrated that this classification was duplicable and predictable by analyzing other datasets. IM-H subtype was characterized by greater immune cell infiltration, stronger immune activities, lower tumor purity, as well as worse survival prognosis compared to IM-L subtype. Besides the immune signatures, some cancer-associated pathways were hyperactivated in IM-H, including TGF-beta signaling pathway, Focal adhesion, Cell adhesion molecules (CAMs), Calcium signaling pathway, mTOR signaling pathway, MAPK signaling pathway and Wnt signaling pathway. In contrast, IM-L presented depressed immune signatures and increased activation of base excision repair, DNA replication, homologous recombination, non-homologous end-joining and nucleotide excision repair pathways. Furthermore, we identified subtype-specific genomic or clinical features, and subtype-specific gene ontology and networks in IM-H and IM-L subtype. CONCLUSIONS We proposed and validated two reproducible immune molecular subtypes of GC, which has potential clinical implications for GC patient selection of immunotherapy.
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Affiliation(s)
- Zhixian Liu
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Institute of Cancer Research, Jiangsu Cancer Hospital, 42 Baiziting, Nanjing 210009, Jiangsu, China; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, Jiangsu, China
| | - Zehang Jiang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 500040, Guangdong, China; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, Jiangsu, China
| | - Nan Wu
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Institute of Cancer Research, Jiangsu Cancer Hospital, 42 Baiziting, Nanjing 210009, Jiangsu, China
| | - Guoren Zhou
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Institute of Cancer Research, Jiangsu Cancer Hospital, 42 Baiziting, Nanjing 210009, Jiangsu, China.
| | - Xiaosheng Wang
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, Jiangsu, China.
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Wang X, Yu X, Krauthammer M, Hugo W, Duan C, Kanetsky PA, Teer JK, Thompson ZJ, Kalos D, Tsai KY, Smalley KSM, Sondak VK, Chen YA, Conejo-Garcia JR. The Association of MUC16 Mutation with Tumor Mutation Burden and Its Prognostic Implications in Cutaneous Melanoma. Cancer Epidemiol Biomarkers Prev 2020; 29:1792-1799. [PMID: 32611582 PMCID: PMC7483810 DOI: 10.1158/1055-9965.epi-20-0307] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 04/29/2020] [Accepted: 06/22/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND MUC16 is a mucin marker that is frequently mutated in melanoma, but whether MUC16 mutations could be useful as a surrogate biomarker for tumor mutation burden (TMB) remains unclear. METHODS This study rigorously evaluates the MUC16 mutation as a clinical biomarker in cutaneous melanoma by utilizing genomic and clinical data from patient samples from The Cancer Genome Atlas (TCGA) and two independent validation cohorts. We further extended the analysis to studies with patients treated with immunotherapies. RESULTS Analysis results showed that samples with MUC16 mutations had a higher TMB than the samples of wild-type, with strong statistical significance (P < 0.001) in all melanoma cohorts tested. Associations between MUC16 mutations and TMB remained statistically significant after adjusting for potential confounding factors in the TCGA cohort [OR, 9.28 (95% confidence interval (CI), 5.18-17.39); P < 0.001], Moffitt cohort [OR, 31.95 (95% CI, 8.71-163.90); P < 0.001], and Yale cohort [OR, 8.09 (95% CI, 3.12-23.79); P < 0.01]. MUC16 mutations were also found to be associated with overall survival in the TCGA [HR, 0.62; (95% CI, 0.45-0.85); P < 0.01] and Moffitt cohorts [HR, 0.49 (95% CI, 0.28-0.87); P = 0.014]. Strikingly, MUC16 is the only top frequently mutated gene for which prognostic significance was observed. MUC16 mutations were also found valuable in predicting anti-CTLA-4 and anti-PD-1 therapy responses. CONCLUSIONS MUC16 mutation appears to be a useful predictive marker of global TMB and patient survival in melanoma. IMPACT This is, to the best of our knowledge, the first systematic evaluation of MUC16 mutation as a clinical biomarker and a predictive biomarker for immunotherapy in melanoma.
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Affiliation(s)
- Xuefeng Wang
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
| | - Xiaoqing Yu
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | | | - Willy Hugo
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Chunzhe Duan
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Jamie K Teer
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Zachary J Thompson
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Denise Kalos
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Kenneth Y Tsai
- Department of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Keiran S M Smalley
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Vernon K Sondak
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Y Ann Chen
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
| | - Jose R Conejo-Garcia
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
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