Literature DB >> 31701475

Correlation of MLH1 polymorphisms, survival statistics, in silico assessment and gene downregulation with clinical outcomes among breast cancer cases.

Saima Shakil Malik1,2, Ayisha Zia3, Sumaira Mubarik4, Nosheen Masood5, Sajid Rashid3, Alice Sherrard6, Muhammad Bilal Khan7, Muhammad Tahir Khadim7.   

Abstract

This study aimed to investigate the role of MLH1 polymorphisms, respective protein structure prediction, survival analysis, related clinicopathological details and MLH1 expression in breast cancer (BC). Genotyping of selected SNPs in BC patients (493) and age matched controls (387) were performed by Tetra-ARMS PCR. Gene expression among breast tumors (127) and adjacent control tissues were analysed using reverse transcriptase PCR (RT-PCR) and immunohistochemistry. Statistical analysis was performed by SPSS and MedCalc. Conditional logistic regression analysis was applied to compute the odds ratio and confidence interval. Phyre2 and I-TASSER were used to generate MLH1 protein structures and verified by a variety of computational tools. Genotyping illustrated that MLH1 polymorphisms (rs63749795 and rs63749820) were significantly associated (P ≤ 0.05) with risk of developing BC. Down regulation of MLH1 gene expression/loss of the MLH1 protein (OR 12; CI 2.8-53.1) was observed in BC cases, illustrating its potential role in disease development. Moreover, loss of the MLH1 protein was found to be associated with higher grade cancer (P = 0.02) and lymph node positivity (P = 0.03), highlighting its essential role, as a component of the mismatch repair (MMR) machinery. Bioinformatics analysis confirmed that nonsense mutations produce a truncated MLH1 protein, causing a reduction in MMR efficiency. No association between MLH1 polymorphisms and overall and progression free survival statistics was observed among BC cases, possibly due to short follow-up study. Results at DNA, RNA and protein levels, along with in silico analysis, highlights the potential role of MLH1 in DNA repair mechanisms, within BC. Therefore, it was concluded that MLH1 may contribute towards BC development and progression.

Entities:  

Keywords:  ARMS PCR; Breast cancer; Expression; MLH1; Polymorphisms; Survival analysis

Mesh:

Substances:

Year:  2019        PMID: 31701475     DOI: 10.1007/s11033-019-05175-x

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  34 in total

1.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

2.  Cancer statistics, 2018.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-01-04       Impact factor: 508.702

3.  Immunohistochemical null-phenotype for mismatch repair proteins in colonic carcinoma associated with concurrent MLH1 hypermethylation and MSH2 somatic mutations.

Authors:  Tao Wang; Zsofia K Stadler; Liying Zhang; Martin R Weiser; Olca Basturk; Jaclyn F Hechtman; Efsevia Vakiani; Lenard B Saltz; David S Klimstra; Jinru Shia
Journal:  Fam Cancer       Date:  2018-04       Impact factor: 2.375

4.  Tumor mismatch repair immunohistochemistry and DNA MLH1 methylation testing of patients with endometrial cancer diagnosed at age younger than 60 years optimizes triage for population-level germline mismatch repair gene mutation testing.

Authors:  Daniel D Buchanan; Yen Y Tan; Michael D Walsh; Mark Clendenning; Alexander M Metcalf; Kaltin Ferguson; Sven T Arnold; Bryony A Thompson; Felicity A Lose; Michael T Parsons; Rhiannon J Walters; Sally-Ann Pearson; Margaret Cummings; Martin K Oehler; Penelope B Blomfield; Michael A Quinn; Judy A Kirk; Colin J Stewart; Andreas Obermair; Joanne P Young; Penelope M Webb; Amanda B Spurdle
Journal:  J Clin Oncol       Date:  2013-12-09       Impact factor: 44.544

5.  Structural characterization of β-catenin and RX-5902 binding to phospho-p68 RNA helicase by molecular dynamics simulation.

Authors:  Waqar Ali; Shagufta Shafique; Sajid Rashid
Journal:  Prog Biophys Mol Biol       Date:  2018-05-02       Impact factor: 3.667

6.  Cancer risks for MLH1 and MSH2 mutation carriers.

Authors:  James G Dowty; Aung K Win; Daniel D Buchanan; Noralane M Lindor; Finlay A Macrae; Mark Clendenning; Yoland C Antill; Stephen N Thibodeau; Graham Casey; Steve Gallinger; Loic Le Marchand; Polly A Newcomb; Robert W Haile; Graeme P Young; Paul A James; Graham G Giles; Shanaka R Gunawardena; Barbara A Leggett; Michael Gattas; Alex Boussioutas; Dennis J Ahnen; John A Baron; Susan Parry; Jack Goldblatt; Joanne P Young; John L Hopper; Mark A Jenkins
Journal:  Hum Mutat       Date:  2013-03       Impact factor: 4.878

7.  Verification of protein structures: patterns of nonbonded atomic interactions.

Authors:  C Colovos; T O Yeates
Journal:  Protein Sci       Date:  1993-09       Impact factor: 6.725

8.  Features and development of Coot.

Authors:  P Emsley; B Lohkamp; W G Scott; K Cowtan
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2010-03-24

9.  Assessing Breast Cancer Risk Estimates Based on the Gail Model and Its Predictors in Qatari Women.

Authors:  Abdulbari Bener; Funda Çatan; Hanadi R El Ayoubi; Ahmet Acar; Wanis H Ibrahim
Journal:  J Prim Care Community Health       Date:  2017-03-18

10.  ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins.

Authors:  Markus Wiederstein; Manfred J Sippl
Journal:  Nucleic Acids Res       Date:  2007-05-21       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.