Skip to main content
Top
Published in: Cancer Immunology, Immunotherapy 7/2017

01-07-2017 | Original Article

Coexpressed modular gene expression reveals inverse correlation between immune responsive transcription and aggressiveness in gastric tumours

Authors: Kalaivani Kalamohan, Dhanasekaran Rathinam, Ponmathi Panneerpandian, Kumaresan Ganesan

Published in: Cancer Immunology, Immunotherapy | Issue 7/2017

Login to get access

Abstract

The existing large number of gene expression profiles of tumour samples offers a great advantage for the integrative functional genomic exploration of molecular dysregulation in cancers. The clusters of genes (modules) derived from a gastric cancer (GC) coexpression network were explored to understand their clinical and functional significance. Among the modules derived from the GC mRNA expression network, six modules were relatively highly expressed in diffuse type gastric tumours. Elevated expression of genes related to extracellular matrix (ECM), angiogenesis, collagen and intracellular cytoskeletal components and immune response were identified in these modules. ECM-related modules exhibited an inverse correlation with modules representing the expression of immune response genes. A reduced expression of immune response genes was identified as the key factor associated with the aggressive features of diffuse gastric tumours, which is indicative of tumour progression involving the escape from immune surveillance in diffuse tumours. A part of the identified aggressive factors was common between intestinal and diffuse type tumours. The coexpressed modules and their expression patterns delineate the fine transition involved in cancer progression in the later stages of tumours. The identified modules could serve as surrogate gene-sets, indicating the molecular staging of GC aggressiveness with underlying biological interaction.
Appendix
Available only for authorised users
Literature
1.
go back to reference Yu QM, Yu CD, Ling ZQ (2012) Elevated circulating CD19+ lymphocytes predict survival advantage in patients with gastric cancer. Asian Pac J Cancer Prev 13:2219–2224. doi:10.1038/ng1434 CrossRefPubMed Yu QM, Yu CD, Ling ZQ (2012) Elevated circulating CD19+ lymphocytes predict survival advantage in patients with gastric cancer. Asian Pac J Cancer Prev 13:2219–2224. doi:10.​1038/​ng1434 CrossRefPubMed
2.
go back to reference Sanz-Ortega J, Steinberg SM, Moro E, Saez M, Lopez JA, Sierra E, Sanz-Esponera J, Merino MJ (2000) Comparative study of tumor angiogenesis and immunohistochemistry for p53, c-ErbB2, c-myc and EGFr as prognostic factors in gastric cancer. Histol Histopathol 15:455–462PubMed Sanz-Ortega J, Steinberg SM, Moro E, Saez M, Lopez JA, Sierra E, Sanz-Esponera J, Merino MJ (2000) Comparative study of tumor angiogenesis and immunohistochemistry for p53, c-ErbB2, c-myc and EGFr as prognostic factors in gastric cancer. Histol Histopathol 15:455–462PubMed
3.
go back to reference Hundahl SA, Phillips JL, Menck HR (2000) The National Cancer Data Base Report on poor survival of U.S. gastric carcinoma patients treated with gastrectomy: Fifth Edition American Joint Committee on Cancer staging, proximal disease, and the “different disease” hypothesis. Cancer 88:921–932CrossRefPubMed Hundahl SA, Phillips JL, Menck HR (2000) The National Cancer Data Base Report on poor survival of U.S. gastric carcinoma patients treated with gastrectomy: Fifth Edition American Joint Committee on Cancer staging, proximal disease, and the “different disease” hypothesis. Cancer 88:921–932CrossRefPubMed
11.
go back to reference Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, Antipin Y (2012) The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2:401–404. doi:10.1158/2159-8290.cd-12-0095 CrossRefPubMed Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, Antipin Y (2012) The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2:401–404. doi:10.​1158/​2159-8290.​cd-12-0095 CrossRefPubMed
14.
go back to reference Wu Y, Grabsch H, Ivanova T, Tan IB, Murray J, Ooi CH, Wright AI, West NP, Hutchins GG, Wu J, Lee M (2013) Comprehensive genomic meta-analysis identifies intra-tumoural stroma as a predictor of survival in patients with gastric cancer. Gut 62:1100–1111. doi:10.1136/gutjnl-2011-301373 CrossRefPubMed Wu Y, Grabsch H, Ivanova T, Tan IB, Murray J, Ooi CH, Wright AI, West NP, Hutchins GG, Wu J, Lee M (2013) Comprehensive genomic meta-analysis identifies intra-tumoural stroma as a predictor of survival in patients with gastric cancer. Gut 62:1100–1111. doi:10.​1136/​gutjnl-2011-301373 CrossRefPubMed
15.
go back to reference Kalamohan K, Periasamy J, Bhaskar Rao D, Barnabas GD, Ponnaiyan S, Ganesan K (2014) Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes. Mol Oncol 8:1306–1325. doi:10.1016/j.molonc.2014.04.005 CrossRefPubMed Kalamohan K, Periasamy J, Bhaskar Rao D, Barnabas GD, Ponnaiyan S, Ganesan K (2014) Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes. Mol Oncol 8:1306–1325. doi:10.​1016/​j.​molonc.​2014.​04.​005 CrossRefPubMed
17.
go back to reference Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 95:14863–14868CrossRefPubMedPubMedCentral Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 95:14863–14868CrossRefPubMedPubMedCentral
18.
go back to reference Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286:531–537CrossRefPubMed Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286:531–537CrossRefPubMed
19.
go back to reference Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP (2005) Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 102:15545–15550. doi:10.1073/pnas.0506580102 CrossRefPubMedPubMedCentral Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP (2005) Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 102:15545–15550. doi:10.​1073/​pnas.​0506580102 CrossRefPubMedPubMedCentral
21.
22.
go back to reference Wirapati P, Sotiriou C, Kunkel S, Farmer P, Pradervand S, Haibe-Kains B, Desmedt C, Ignatiadis M, Sengstag T, Schütz F, Goldstein DR (2008) Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Res 10:R65. doi:10.1186/bcr2124 CrossRefPubMedPubMedCentral Wirapati P, Sotiriou C, Kunkel S, Farmer P, Pradervand S, Haibe-Kains B, Desmedt C, Ignatiadis M, Sengstag T, Schütz F, Goldstein DR (2008) Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Res 10:R65. doi:10.​1186/​bcr2124 CrossRefPubMedPubMedCentral
24.
26.
go back to reference Zhu GG, Risteli L, Makinen M, Risteli J, Kauppila A, Stenback F (1995) Immunohistochemical study of type I collagen and type I pN-collagen in benign and malignant ovarian neoplasms. Cancer 75:1010–1017CrossRefPubMed Zhu GG, Risteli L, Makinen M, Risteli J, Kauppila A, Stenback F (1995) Immunohistochemical study of type I collagen and type I pN-collagen in benign and malignant ovarian neoplasms. Cancer 75:1010–1017CrossRefPubMed
29.
go back to reference Le QT, Harris J, Magliocco AM, Kong CS, Diaz R, Shin B, Cao H, Trotti A, Erler JT, Chung CH, Dicker A (2009) Validation of lysyl oxidase as a prognostic marker for metastasis and survival in head and neck squamous cell carcinoma: Radiation Therapy Oncology Group trial 90-03. J Clin Oncol 27:4281–4286. doi:10.1200/jco.2008.20.6003 CrossRefPubMedPubMedCentral Le QT, Harris J, Magliocco AM, Kong CS, Diaz R, Shin B, Cao H, Trotti A, Erler JT, Chung CH, Dicker A (2009) Validation of lysyl oxidase as a prognostic marker for metastasis and survival in head and neck squamous cell carcinoma: Radiation Therapy Oncology Group trial 90-03. J Clin Oncol 27:4281–4286. doi:10.​1200/​jco.​2008.​20.​6003 CrossRefPubMedPubMedCentral
33.
36.
go back to reference Kim EK, Yoon SO, Jung WY, Lee H, Kang Y, Jang YJ, Hong SW, Choi SH, Yang WI (2016) Implications of NOVA1 suppression within the microenvironment of gastric cancer: association with immune cell dysregulation. Gastric Cancer. doi:10.1007/s10120-016-0623-3 Kim EK, Yoon SO, Jung WY, Lee H, Kang Y, Jang YJ, Hong SW, Choi SH, Yang WI (2016) Implications of NOVA1 suppression within the microenvironment of gastric cancer: association with immune cell dysregulation. Gastric Cancer. doi:10.​1007/​s10120-016-0623-3
37.
go back to reference Hennequin A, Derangere V, Boidot R, Apetoh L, Vincent J, Orry D, Fraisse J, Causeret S, Martin F, Arnould L, Beltjens F (2016) Tumor infiltration by Tbet+ effector T cells and CD20+ B cells is associated with survival in gastric cancer patients. Oncoimmunology 5:e1054598. doi:10.1080/2162402x.2015.1054598 CrossRefPubMed Hennequin A, Derangere V, Boidot R, Apetoh L, Vincent J, Orry D, Fraisse J, Causeret S, Martin F, Arnould L, Beltjens F (2016) Tumor infiltration by Tbet+ effector T cells and CD20+ B cells is associated with survival in gastric cancer patients. Oncoimmunology 5:e1054598. doi:10.​1080/​2162402x.​2015.​1054598 CrossRefPubMed
40.
go back to reference Cho MY, Joh YG, Kim NR, Jung SI, Bae JW, Kim YC, Koo BH, Whang CW, Suh SO (2002) T-lymphocyte subsets in patients with AJCC stage III gastric cancer during postoperative adjuvant chemotherapy. Scand J Surg 91:172–177PubMed Cho MY, Joh YG, Kim NR, Jung SI, Bae JW, Kim YC, Koo BH, Whang CW, Suh SO (2002) T-lymphocyte subsets in patients with AJCC stage III gastric cancer during postoperative adjuvant chemotherapy. Scand J Surg 91:172–177PubMed
41.
go back to reference Robinson E, Segal R, Struminger L, Faraggi D, El’ad-Yarum R, Mekori T (1999) Lymphocyte subpopulations in patients with multiple primary tumors. Cancer 85:2073–2076CrossRefPubMed Robinson E, Segal R, Struminger L, Faraggi D, El’ad-Yarum R, Mekori T (1999) Lymphocyte subpopulations in patients with multiple primary tumors. Cancer 85:2073–2076CrossRefPubMed
Metadata
Title
Coexpressed modular gene expression reveals inverse correlation between immune responsive transcription and aggressiveness in gastric tumours
Authors
Kalaivani Kalamohan
Dhanasekaran Rathinam
Ponmathi Panneerpandian
Kumaresan Ganesan
Publication date
01-07-2017
Publisher
Springer Berlin Heidelberg
Published in
Cancer Immunology, Immunotherapy / Issue 7/2017
Print ISSN: 0340-7004
Electronic ISSN: 1432-0851
DOI
https://doi.org/10.1007/s00262-017-1998-7

Other articles of this Issue 7/2017

Cancer Immunology, Immunotherapy 7/2017 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine