Genetic Nonpolyposis Colorectal Cancer Prediction Using mRNA MSH2 Quantitative Analysis and Its Association with Immutable Factors

Authors

  • Tjahjadi Robert Tedjasaputra Department of Internal Medicine, Tarakan General Hospital, Medical Faculty University of Hasanuddin, Jakarta 10720, DKI Jakarta, Indonesia.
  • Mochammad Hatta Department of Immunology and Biomolecular, Hasanuddin University, Makassar 90245, South Sulawesi, Indonesia.
  • Muh Nasrum Massi Department of Microbiology, Faculty of Medicine, University of Hasanuddin, Makassar 90245, South Sulawesi, Indonesia.
  • Rosdiana Natzir Department of Biochemistry, Medical Faculty, University of Hasanuddin, Makassar 90245, South Sulawesi, Indonesia.
  • Agussalim Bukhari Department of Nutrition, Faculty of Medicine, Hasanuddin University, Makassar 90245, South Sulawesi, Indonesia.
  • Rina Masadah Department of Pathology Anatomy, Faculty of Medicine, Hasanuddin University, Makassar 20945, South Sulawesi, Indonesia.
  • Muh Lutfi Parewangi Department of Internal Medicine, Faculty of Medicine, Hasanuddin University, Makassar 20945, South Sulawesi, Indonesia.
  • Prihantono Prihantono Department of Surgery, Faculty of Medicine, Hasanuddin University, Makassar 90245, South Sulawesi, Indonesia.
  • Rinda Nariswati Department of Statistic, School of Computer Science, Bina Nusantara University Jakarta, Jakarta 11530, Indonesia.
  • Vincent Tedjasaputra American Association for the Advancement of Science (AAAS), Science and Technology Policy Fellow, Alexandria, VA 22314, United States.

DOI:

https://doi.org/10.9734/bpi/cidhr/v9/10643F

Keywords:

Colorectal cancer, MSH2 gene, non-modifiable factors, risk probability

Abstract

This chapter aimed to compute suitable MSH2 gene expression for appropriate cut-off and certify the associations from the risk factors. A dominantly inherited syndrome of colorectal cancer (CRC), hereditary non-polyposis colon cancer carries a higher risk for the younger population. Previous research links the Amsterdam and Bethesda criteria, as well as DNA sequence polymorphism, to its vulnerability. Nevertheless, those are not applicable.

The cross-sectional study observed 71 respondents from May 2018 to December 2019 in determining the CRC hereditary status through MSH2 mRNA expression using reverse transcription-polymerase chain reaction and the disease’s risk factors. Data were analyzed through Chi-Square, Fischer exact, t-test, Mann- Whitney, and multiple logistics.

 It is revealed that MSH2 levels in tissue and blood within the CRC group differ significantly, but there are no significant differences across the groups. The hereditary CRC cut-off is 11059 fc through the blood gene expression fifth percentile, separating the 40 CRC responses into 32.5% with hereditary CRC.  CRC higher prevalence in the male gender is the result of female protectiveness from the disease. The sex hormone of estradiol and progesterone acts as protective mechanism for CRC development in the body. The hormonal clinical trial in 2019 observe that introduction of estradiol and progesterone combination treatment provide increased apoptosis of tumor cells (P < 0.05) while lowering tumor cell proliferations (P < 0.01). Significant risk factors include age, family history, and staging. Nonetheless, after multivariate control, age is just a confounder. Further, the study develops a probability equation with area under the curve 82.2%.

The heredity of CRC patients is significantly influenced by a wide range of factors. But while age and other variables are confounding factors, staging and family history are very key factors. The study also established a definite cut-off point for heredity CRC based on mRNA MSH2 expression, 11059 fc. These findings shall act as concrete foundations on further risk factors and/or genetical CRC future studies.

Published

2023-12-14

How to Cite

Tjahjadi Robert Tedjasaputra, Mochammad Hatta, Muh Nasrum Massi, Rosdiana Natzir, Agussalim Bukhari, Rina Masadah, … Vincent Tedjasaputra. (2023). Genetic Nonpolyposis Colorectal Cancer Prediction Using mRNA MSH2 Quantitative Analysis and Its Association with Immutable Factors. Current Innovations in Disease and Health Research Vol. 9, 28–47. https://doi.org/10.9734/bpi/cidhr/v9/10643F