The Prognostic Value of ASPHD1 and ZBTB12 in Colorectal Cancer: A Machine Learning-Based Integrated Bioinformatics Approach

Author:

Asadnia Alireza123,Nazari Elham4,Goshayeshi Ladan56,Zafari Nima1,Moetamani-Ahmadi Mehrdad12,Goshayeshi Lena6,Azari Haneih1ORCID,Pourali Ghazaleh1ORCID,Khalili-Tanha Ghazaleh1,Abbaszadegan Mohammad Reza23,Khojasteh-Leylakoohi Fatemeh13,Bazyari MohammadJavad7,Kahaei Mir Salar2,Ghorbani Elnaz1,Khazaei Majid13,Hassanian Seyed Mahdi13,Gataa Ibrahim Saeed8,Kiani Mohammad Ali3,Peters Godefridus J.910ORCID,Ferns Gordon A.11ORCID,Batra Jyotsna12,Lam Alfred King-yin13ORCID,Giovannetti Elisa1014ORCID,Avan Amir1712ORCID

Affiliation:

1. Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad 91779-48564, Iran

2. Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad 91886-17871, Iran

3. Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad 13944-91388, Iran

4. Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19839-69411, Iran

5. Department of Gastroenterology and Hepatology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad 91779-48564, Iran

6. Surgical Oncology Research Center, Mashhad University of Medical Sciences, Mashhad 91779-48954, Iran

7. Department of Medical Biotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad 91779-48564, Iran

8. College of Medicine, University of Warith Al-Anbiyaa, Karbala 56001, Iraq

9. Department of Biochemistry, Medical University of Gdansk, 80-211 Gdansk, Poland

10. Cancer Center Amsterdam, Amsterdam U.M.C., VU University Medical Center (VUMC), Department of Medical Oncology, 1081 HV Amsterdam, The Netherlands

11. Brighton & Sussex Medical School, Department of Medical Education, Falmer, Brighton, Sussex BN1 9PH, UK

12. Faculty of Health, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia

13. Pathology, School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Gold Coast, QLD 4222, Australia

14. Cancer Pharmacology Lab, AIRC Start Up Unit, Fondazione Pisana per La Scienza, 56017 Pisa, Italy

Abstract

Introduction: Colorectal cancer (CRC) is a common cancer associated with poor outcomes, underscoring a need for the identification of novel prognostic and therapeutic targets to improve outcomes. This study aimed to identify genetic variants and differentially expressed genes (DEGs) using genome-wide DNA and RNA sequencing followed by validation in a large cohort of patients with CRC. Methods: Whole genome and gene expression profiling were used to identify DEGs and genetic alterations in 146 patients with CRC. Gene Ontology, Reactom, GSEA, and Human Disease Ontology were employed to study the biological process and pathways involved in CRC. Survival analysis on dysregulated genes in patients with CRC was conducted using Cox regression and Kaplan–Meier analysis. The STRING database was used to construct a protein–protein interaction (PPI) network. Moreover, candidate genes were subjected to ML-based analysis and the Receiver operating characteristic (ROC) curve. Subsequently, the expression of the identified genes was evaluated by Real-time PCR (RT-PCR) in another cohort of 64 patients with CRC. Gene variants affecting the regulation of candidate gene expressions were further validated followed by Whole Exome Sequencing (WES) in 15 patients with CRC. Results: A total of 3576 DEGs in the early stages of CRC and 2985 DEGs in the advanced stages of CRC were identified. ASPHD1 and ZBTB12 genes were identified as potential prognostic markers. Moreover, the combination of ASPHD and ZBTB12 genes was sensitive, and the two were considered specific markers, with an area under the curve (AUC) of 0.934, 1.00, and 0.986, respectively. The expression levels of these two genes were higher in patients with CRC. Moreover, our data identified two novel genetic variants—the rs925939730 variant in ASPHD1 and the rs1428982750 variant in ZBTB1—as being potentially involved in the regulation of gene expression. Conclusions: Our findings provide a proof of concept for the prognostic values of two novel genes—ASPHD1 and ZBTB12—and their associated variants (rs925939730 and rs1428982750) in CRC, supporting further functional analyses to evaluate the value of emerging biomarkers in colorectal cancer.

Funder

National Institute for Medical Research and Development

NHMRC—National Health and Medical Research Council

Tour the Cure

AIRC

CCA (Cancer Center Amsterdam) Foundation

Advance Queensland Industry Research Fellowship

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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