Literature DB >> 33457124

GAPDH and PUM1: Optimal Housekeeping Genes for Quantitative Polymerase Chain Reaction-Based Analysis of Cancer Stem Cells and Epithelial-Mesenchymal Transition Gene Expression in Rectal Tumors.

Litika Vermani1, Rajeev Kumar2, Nachimuthu Senthil Kumar1.   

Abstract

Background The overwhelming majority of published articles have taken colon and rectal cancer as a single group, i.e., colorectal cancer, when normalizing gene expression data with housekeeping genes (HKG) in quantitative polymerase chain reaction (qPCR) experiments though there are published reports that suggest the differential expression pattern of genes between the colon and rectal cancer groups and hence the current experiment was attempted to find out the optimal set of housekeeping genes from the list of common HKG for rectal tumor gene expression analysis. Methods The expression of five potential housekeeping genes GAPDH, RPNI, PUM1, B2M, and PMM1 was analyzed through qPCR and Bestkeeper software (http://www.wzw.tum.de/gene-quantification/bestkeeper.html) in 20 stage II-IV rectal cancer samples to check for uniformity in their expression pattern. Cancer stem cell (CSC) marker ALDH1 and epithelial-mesenchymal transition marker (EMT) markers E cadherin, vimentin, Twist, and SNAI2 expression were evaluated in conjunction with the two optimal reference genes in 10 rectal cancers as part of validation. Results The standard deviation of the cycle threshold value of GAPDH was found the lowest at 0.65 followed by RPN1 at 0.88, PUM1 at 0.94, PMM1 at 0.94, and B2M at 1.21 when analyzed with BestKeeper software. Using GAPDH and PUM1 as the reference gene for the validation phase, rectal cancer patients with stage III/IV showed a 4.79-fold change (P=0.006) in ALDH1 expression, and an 11.76-fold change in Twist expression (P=0.003) with respect to stage II rectal tumor when normalized with GAPDH and PUM1. Conclusion GAPDH and PUM1 can be used as an optimal set of housekeeping genes for gene expression-related experiments in rectal tumors. ALDH1 and Twist were found significantly overexpressed in stage III/IV rectal tumors in comparison to stage II rectal cancer. Genes associated with cancer stem cells and EMT markers could be optimally analyzed by normalizing them with GAPDH and PUM1 as housekeeping genes.
Copyright © 2020, Vermani et al.

Entities:  

Keywords:  cscs; emt; gapdh; pum1; rectal tumor; reference gene

Year:  2020        PMID: 33457124      PMCID: PMC7797410          DOI: 10.7759/cureus.12020

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  27 in total

1.  Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper--Excel-based tool using pair-wise correlations.

Authors:  Michael W Pfaffl; Ales Tichopad; Christian Prgomet; Tanja P Neuvians
Journal:  Biotechnol Lett       Date:  2004-03       Impact factor: 2.461

2.  Differences in gene expression profiles and carcinogenesis pathways between colon and rectal cancer.

Authors:  Jing Nan Li; Li Zhao; Jun Wu; Bin Wu; Hong Yang; Heng Hui Zhang; Jia Ming Qian
Journal:  J Dig Dis       Date:  2012-01       Impact factor: 2.325

3.  Direct comparison of GAPDH, beta-actin, cyclophilin, and 28S rRNA as internal standards for quantifying RNA levels under hypoxia.

Authors:  H Zhong; J W Simons
Journal:  Biochem Biophys Res Commun       Date:  1999-06-16       Impact factor: 3.575

4.  Lifestyle and Sporadic Colorectal Cancer in India.

Authors:  Rupal Sinha; Dinesh Chandra Doval; Showket Hussain; Kapil Kumar; Shivendra Singh; Seemi Farhat Basir; Mausumi Bharadwaj
Journal:  Asian Pac J Cancer Prev       Date:  2015

5.  Prognostic impact of the expression of putative cancer stem cell markers CD133, CD166, CD44s, EpCAM, and ALDH1 in colorectal cancer.

Authors:  A Lugli; G Iezzi; I Hostettler; M G Muraro; V Mele; L Tornillo; V Carafa; G Spagnoli; L Terracciano; I Zlobec
Journal:  Br J Cancer       Date:  2010-07-06       Impact factor: 7.640

6.  Differences of protein expression profiles, KRAS and BRAF mutation, and prognosis in right-sided colon, left-sided colon and rectal cancer.

Authors:  Xian Hua Gao; Guan Yu Yu; Hai Feng Gong; Lian Jie Liu; Yi Xu; Li Qiang Hao; Peng Liu; Zhi Hong Liu; Chen Guang Bai; Wei Zhang
Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

7.  Pan-Cancer Analysis of TCGA Data Revealed Promising Reference Genes for qPCR Normalization.

Authors:  George S Krasnov; Anna V Kudryavtseva; Anastasiya V Snezhkina; Valentina A Lakunina; Artemy D Beniaminov; Nataliya V Melnikova; Alexey A Dmitriev
Journal:  Front Genet       Date:  2019-03-01       Impact factor: 4.599

Review 8.  Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors.

Authors:  Prashanth Rawla; Tagore Sunkara; Adam Barsouk
Journal:  Prz Gastroenterol       Date:  2019-01-06

9.  Cancer Statistics, 2020: Report From National Cancer Registry Programme, India.

Authors:  Prashant Mathur; Krishnan Sathishkumar; Meesha Chaturvedi; Priyanka Das; Kondalli Lakshminarayana Sudarshan; Stephen Santhappan; Vinodh Nallasamy; Anish John; Sandeep Narasimhan; Francis Selvaraj Roselind
Journal:  JCO Glob Oncol       Date:  2020-07
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  1 in total

1.  G-protein coupled receptor 34 regulates the proliferation and growth of LS174T cells through differential expression of PI3K subunits and PTEN.

Authors:  Bo Zuo; Na Wu; Shen Yang; Zhaohui Zhong; Mei Li; Xin Yu; Yulan Liu; Weidong Yu
Journal:  Mol Biol Rep       Date:  2022-01-08       Impact factor: 2.316

  1 in total

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