Gene expression profiling-derived immunohistochemistry signature with high prognostic value in colorectal carcinoma

Yes-associated protein-1 (YAP1) is an important effector of the Hippo pathway and has crosstalk with other cancer signaling pathways. It induces an immunosuppressive tumor microenvironment by activating pathways in several cellular components. However, the mechanisms by which it drives immune infiltration in pancreatic cancer remain poorly understood. We analyzed the expression of YAP1 as well as its prognostic value and correlations with immune infiltrates in various cancers, with a focus on pancreatic cancer. In particular, using the Oncomine database and Gene Expression Profiling Interactive Analysis (GEPIA) database, we found that YAP1 is differentially expressed between tumor tissues and control tissues in a number of cancers and in particular, is elevated in pancreatic cancer. Using the Kaplan–Meier plotter, GEPIA, and Long-term Outcome and Gene Expression Profiling database of pan-cancers (LOGpc), we further established the prognostic value of YAP1. We found that YAP1 expression was significantly related to outcomes in multiple types of cancer based on data from The Cancer Genome Atlas, particularly in pancreatic cancer. Correlations between YAP1 and immune cell infiltration and immune cell marker expression were examined using Tumor Immune Estimation Resource and GEPIA. High expression levels of YAP1 were significantly associated with a variety of immune markers and immune cell subsets in pancreatic cancer. These results suggest that YAP1 is correlated with patient outcomes and tumor immune cell infiltration in multiple cancer types and is a valuable prognostic biomarker in pancreatic cancer.

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Differences in gene expression profiling and biomarkers between histological colorectal carcinoma subsets from the serrated pathway

Histopathology ◽

10.1111/his.13889 ◽

2019 ◽

Vol 75 (4) ◽

pp. 496-507 ◽

Cited By ~ 4

Author(s):

José García‐Solano ◽

María del Carmen Turpin‐Sevilla ◽

Francisco García‐García ◽

Rosa Carbonell‐Muñoz ◽

Daniel Torres‐Moreno ◽

...

Keyword(s):

Gene Expression ◽

Colorectal Carcinoma ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Serrated Pathway

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Integrated gene expression profiling and in silico epigenomic scanning to identify genes involved in microsatellite instability status of colorectal carcinoma

Gastroenterology ◽

10.1016/s0016-5085(03)80063-x ◽

2003 ◽

Vol 124 (4) ◽

pp. A13

Author(s):

Elena Deacu ◽

Yuriko Mori ◽

Fumiaki Sato ◽

Florin M. Selaru ◽

Andreea Olaru ◽

...

Keyword(s):

Gene Expression ◽

Colorectal Carcinoma ◽

Microsatellite Instability ◽

Gene Expression Profiling ◽

Expression Profiling ◽

In Silico

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Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics

BioMed Research International ◽

10.1155/2021/2602322 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Rou Pi ◽

Yanmei Chen ◽

Yijie Du ◽

Suzhen Dong

Keyword(s):

Gene Expression ◽

Pancreatic Cancer ◽

Mrna Expression ◽

Gene Expression Profiling ◽

Cancer Cell ◽

Expression Profiling ◽

Prognostic Value ◽

Expression Levels ◽

Coexpressed Genes ◽

Mrna Expression Levels

Pancreatic cancer is the fourth leading cause of cancer-related death and urgently needs biomarkers for clinical diagnosis and prognosis. It has been reported that myoferlin (MYOF) is implicated in the regulation of proliferation, invasion, and migration of tumor cells in many cancers including pancreatic cancer. To confirm the prognostic value of MYOF in pancreatic cancer, a comprehensive cancer versus healthy people analysis was conducted using public data. MYOF mRNA expression levels were compared in many kinds of cancers including pancreatic cancer via the Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases. The results have shown that MYOF mRNA expression levels were upregulated in most types of cancers, especially in pancreatic cancer, compared with healthy people’s tissues. Data from the Cancer Cell Line Encyclopedia (CCLE) and European Bioinformatics Institute (EMBL-EML) database also revealed that MYOF mRNA is highly expressed in most cancer cells, particularly in pancreatic cancer cell lines. Furthermore, the prognostic value of MYOF was evaluated using GEPIA and Long-term Outcome and Gene Expression Profiling Database of pan-cancers (LOGpc) database. Higher expression of MYOF was associated with poorer overall survival, especially in the lower stage and lower grade. Coexpressed genes, possible regulators, and the correlation between MYOF expressions were analyzed via the GEPIA and LinkedOmics database. Nineteen coexpressed genes were identified, and most of these genes were related to cancer. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the correlation between MYOF and immune response. Notably, we found that MYOF might have a potential novel immune regulatory role in tumor immunity. These results support that MYOF is a candidate prognostic biomarker for pancreatic cancer, which calls for further genomics research of pancreatic cancer and deeply functional studies on MYOF.

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Metastatic transcriptional pattern revealed by gene expression profiling in primary colorectal carcinoma

International Journal of Cancer ◽

10.1002/ijc.20883 ◽

2005 ◽

Vol 115 (2) ◽

pp. 256-262 ◽

Cited By ~ 68

Author(s):

Antonello D'Arrigo ◽

Claudio Belluco ◽

Alessandro Ambrosi ◽

Maura Digito ◽

Giovanni Esposito ◽

...

Keyword(s):

Gene Expression ◽

Colorectal Carcinoma ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Transcriptional Pattern

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Extracellular matrix gene expression profiling using microfluidics for colorectal carcinoma stratification

Biomicrofluidics ◽

10.1063/1.4966245 ◽

2016 ◽

Vol 10 (5) ◽

pp. 054124 ◽

Cited By ~ 4

Author(s):

Christopher J. Hayes ◽

Catriona M. Dowling ◽

Susan Dwane ◽

Mary E. McCumiskey ◽

Shona M. Tormey ◽

...

Keyword(s):

Gene Expression ◽

Extracellular Matrix ◽

Colorectal Carcinoma ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Matrix Gene

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Custom microarray for glycobiologists: considerations for glycosyltransferase gene expression profiling

Biochemical Society Symposium ◽

10.1042/bss0690135 ◽

2002 ◽

Vol 69 ◽

pp. 135-142 ◽

Cited By ~ 12

Author(s):

Elena M. Comelli ◽

Margarida Amado ◽

Steven R. Head ◽

James C. Paulson

Keyword(s):

Gene Expression ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Affymetrix Genechip ◽

Microarray Technology ◽

Gene Arrays ◽

Glycosyltransferase Gene

The development of microarray technology offers the unprecedented possibility of studying the expression of thousands of genes in one experiment. Its exploitation in the glycobiology field will eventually allow the parallel investigation of the expression of many glycosyltransferases, which will ultimately lead to an understanding of the regulation of glycoconjugate synthesis. While numerous gene arrays are available on the market, e.g. the Affymetrix GeneChip® arrays, glycosyltransferases are not adequately represented, which makes comprehensive surveys of their gene expression difficult. This chapter describes the main issues related to the establishment of a custom glycogenes array.

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