Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Genetic analysis of key players in PI3K signaling cascade of colorectal carcinoma
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 27 February 2026

Genetic analysis of key players in PI3K signaling cascade of colorectal carcinoma

  • Hira Pervaiz1,
  • Nosheen Masood1,
  • Parvez Azam Malik2,
  • Jahangir Sarwar Khan3,
  • Mumtaz Ahmad Khan4 &
  • …
  • Hassaan Malik5 

Scientific Reports , Article number:  (2026) Cite this article

  • 865 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Cancer
  • Genetics
  • Oncology

Abstract

Triggering PI3K signaling cascade is most common in human cancers. This study aimed to screen the association of seven SNPs and two hotspot mutations, clinical outcome and therapeutic potential with susceptibility to colorectal carcinoma (CRC). In this case-control study of 495 CRC and 495 controls, seven SNPs were genotyped by ARMS-PCR. The mutant allele frequencies were significantly higher for five SNPs, E542K and E17K but lower for rs6443624 (P = 0.1480) and rs1883965 (P = 0.4105). DNA sequencing results revealed point mutations were more prevalent in CRC. Pairwise linkage disequilibrium analysis was performed and strong LD was observed between rs6443624 and rs10138227 (D’ = 0.953, r² = 0.435, LOD = 62.61) among CRC. Pearson’s chi-square test showed these variants were associated with CRC risk (P < 0.001). Kaplan Meier analysis revealed that six SNPs (P < 0.005) were strongly associated with clinicopathological parameters and drugs with OS in CRC but not for rs6443624 (P = 0.3). Breslow and Tarone-Ware Test showed significant survival differences but capecitabine revealed the highest survival estimates. Swiss model was used to analyze the changes in protein structure. QMEAND value for E542K is 0.88 ± 0.05 and for E17K is 0.78 ± 0.05 representing high quality structure, however, Ramachandaran structure 97.37% favoured for E542K and 95.23% for E17K. The current study suggests that PI3K pathway variants may be associated with colorectal cancer susceptibility and highlights their potential relevance as candidate biomarkers, pending further validation.

Similar content being viewed by others

Relationship between inherited genetic variation and survival from colorectal cancer stratified by tumour location

Article Open access 18 January 2025

Long intergenic non-coding RNA 00511 (LINC00511) genetic variations and haplotype implication for colorectal cancer susceptibility and prognosis

Article Open access 11 August 2025

Genetic polymorphisms in FABP2, CYP2E1, and TP53 genes are potentially associated with colorectal cancer susceptibility

Article Open access 03 September 2024

Data availability

Data is provided in the supplementary information file.

References

  1. Xi, Y. & Xu, P. Global colorectal cancer burden in 2020 and projections to 2040. Translational Oncol. 14 (10), 101174. https://doi.org/10.1016/j.tranon.2021.101174 (2021).

    Google Scholar 

  2. Morgan, E. et al. Global burden of colorectal cancer in 2020 and 2040: Incidence and mortality estimates from GLOBOCAN. Gut 72 (2), 338–344. https://doi.org/10.1136/gutjnl-2022-327736 (2023).

    Google Scholar 

  3. Keum, N. & Giovannucci, E. Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies. Nat. Reviews Gastroenterol. Hepatol. 16 (12), 713–732. https://doi.org/10.1038/s41575-019-0189-8 (2019).

    Google Scholar 

  4. Johnson, S. M. et al. Novel expression patterns of PI3K/Akt/mTOR signaling pathway components in colorectal cancer. J. Am. Coll. Surg. 210 (5), 767–776. https://doi.org/10.1016/j.jamcollsurg.2009.12.008 (2010).

    Google Scholar 

  5. Muhammad, S. S., Shoaib, M. & Pervez, M. T. An Integrated Framework for Analysis and Prediction of Impact of Single Nucleotide Polymorphism Associated with Human Diseases. Evolutionary Bioinf. 20 (5), 1–14. https://doi.org/10.1177/11769343241249916 (2024).

    Google Scholar 

  6. Ge, Y. et al. Genetic variants in PI3K/Akt/mTOR pathway genes contribute to gastric cancer risk. Gene 670, 130–135. https://doi.org/10.1016/j.gene.2018.05.093 (2018).

    Google Scholar 

  7. Simons, C. C. et al. Polymorphisms in the mTOR-PI3K-Akt pathway, energy balance-related exposures and colorectal cancer risk in the Netherlands Cohort Study. BioData Min. 15, 1–20. https://doi.org/10.1186/s13040-021-00286-3 (2022).

    Google Scholar 

  8. Ertay, A. Altered PI3K/AKT/mTOR Signaling Pathway and Cancer Stem Cells. In Cancer Stem Cells and Cancer Therapy 131–158 (Springer Nature Switzerland, 2025). https://doi.org/10.1007/978-3-031-74842-4_5.

    Google Scholar 

  9. Mirzapoor Abbasabadi, Z. et al. KRAS, NRAS, BRAF, and PIK3CA mutation rates, clinicopathological association, and their prognostic value in Iranian colorectal cancer patients. J. Clin. Lab. Anal. 37 (5), 1–10. https://doi.org/10.1002/jcla.24868 (2023).

    Google Scholar 

  10. Hechtman, J. F. et al. AKT1 E17K in colorectal carcinoma is associated with BRAF V600E but not MSI-H status: a clinicopathologic comparison to PIK3CA helical and kinase domain mutants. Mol. Cancer Res. 13 (6), 1003–1008. https://doi.org/10.1158/1541-7786.MCR-15-0062-T (2015).

    Google Scholar 

  11. Chuang, J. et al. MAP2K1 Mutations in Advanced Colorectal Cancer Predict Poor Response to Anti-EGFR Therapy and to Vertical Targeting of MAPK Pathway. Clin. Colorectal Cancer. 20 (1), 72–78. https://doi.org/10.1016/j.clcc.2020.12.003 (2021).

    Google Scholar 

  12. Murugan, A. K., Alzahrani, A. & Xing, M. Mutations in critical domains confer the human mTOR gene strong tumorigenicity. J. Biol. Chem. 288 (9), 6511–6521. https://doi.org/10.1074/jbc.M112.399485 (2013).

    Google Scholar 

  13. Bando, H., Ohtsu, A. & Yoshino, T. Therapeutic landscape and future direction of metastatic colorectal cancer. Nat. Reviews Gastroenterol. Hepatol. 20 (5), 306–322. https://doi.org/10.1038/s41575-022-00736-1 (2023).

    Google Scholar 

  14. Domingo, E. et al. Evaluation of PIK3CA mutation as a predictor of benefit from nonsteroidal anti-inflammatory drug therapy in colorectal cancer. J. Clin. Oncol. 31 (34), 4297–4305. https://doi.org/10.1200/JCO.2013.50.0322 (2013).

    Google Scholar 

  15. Bahrami, A. et al. Therapeutic potential of targeting PI3K/AKT pathway in treatment of colorectal cancer: rational and progress. J. Cell. Biochem. 119 (3), 2460–2469. https://doi.org/10.1002/jcb.25950I (2018).

    Google Scholar 

  16. Iqbal, M. J., Shakoori, F. R., Muneer, B. & Shakoori, A. R. Mutation Profiling of PI3K/AKT1/MTOR Pathway Genes in Breast Cancer Patients of Pakistan. Pakistan J. Zool. 56 (1), 273. https://doi.org/10.17582/journal.pjz/20221006131025 (2024).

    Google Scholar 

  17. Tufail, M. & Wu, C. Cancer statistics in Pakistan from 1994 to 2021: data from cancer registry. JCO Clin. Cancer Inf. 7, e2200142. https://doi.org/10.1200/CCI.22.00142 (2023).

    Google Scholar 

  18. Dairawan, M. & Shetty, P. J. The evolution of DNA extraction methods. Am. J. Biomedical Sci. Res. 8 (1), 39–45. https://doi.org/10.34297/AJBSR.2020.08.001234 (2020).

    Google Scholar 

  19. Ahlawat, S., Sharma, R., Maitra, A., Roy, M. & Tantia, M. S. Designing, optimization and validation of tetra-primer ARMS PCR protocol for genotyping mutations in caprine Fec genes. Meta Gene. 2, 439–449. https://doi.org/10.1016/j.mgene.2014.05.004 (2014).

    Google Scholar 

  20. Caetano-Anolles, D. Polymerase Chain Reaction, Editor(s): Stanley Maloy, Kelly Hughes, Brenner’s Encyclopedia of Genetics (Second Edition), Academic Press, 392–395. (2013).

  21. Li, Q. et al. Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy. Signal. Transduct. Target. Therapy. 9 (1), 1–48. https://doi.org/10.1038/s41392-024-01953-7 (2024).

    Google Scholar 

  22. Quaye, L. et al. Tagging single-nucleotide polymorphisms in candidate oncogenes and susceptibility to ovarian cancer. Br. J. Cancer. 100 (6), 993–1001. https://doi.org/10.1038/sj.bjc.6604947 (2009). Ovarian Cancer Association Consortium, Easton,.

    Google Scholar 

  23. Wang, Y., Zhang, H., Lin, M. & Wang, Y. Association of FGFR2 and PI3KCA genetic variants with the risk of breast cancer in a Chinese population. Cancer Manage. Res. 10 (5), 1305–1311. https://doi.org/10.2147/CMAR.S164084 (2018).

    Google Scholar 

  24. Slattery, M. L. et al. Genetic variation in a metabolic signaling pathway and colon and rectal cancer risk: mTOR, PTEN, STK11, RPKAA1, PRKAG2, TSC1, TSC2, PI3K and Akt1. Carcinogenesis 31 (9), 1604–1611. https://doi.org/10.1093/carcin/bgq142 (2010).

    Google Scholar 

  25. Kim, J., Yum, S., Kang, C. & Kang, S. J. Gene-gene interactions in gastrointestinal cancer susceptibility. Oncotarget 7 (41), 67612–67625. https://doi.org/10.18632/oncotarget.11701 (2016).

    Google Scholar 

  26. Bizhani, F. et al. Association between single nucleotide polymorphisms in the PI3K/AKT/mTOR pathway and bladder cancer risk in a sample of Iranian population. EXCLI J. 17, 3–13. https://doi.org/10.17179/excli2017-329 (2018).

    Google Scholar 

  27. Ulu, E., Yaylım, İ., Arıkan, S. & Cacına, C. The evaluation of PIK3CA gene variation and serum PI3K level in breast cancer risk and prognosis in Turkish population. Turkish J. Biochem. 47 (3), 317–324. https://doi.org/10.1515/tjb-2021-0072 (2022).

    Google Scholar 

  28. Allam, L. et al. AKT1 Polymorphism (rs10138227) and Risk of Colorectal Cancer in Moroccan Population: A Case Control Study. Asian Pac. J. cancer prevention: APJCP. 21 (11), 3165–3170. https://doi.org/10.31557/APJCP.2020.21.11.3165 (2020).

    Google Scholar 

  29. Wang, M. Y. et al. A Functional Polymorphism (rs2494752) in the AKT1 Promoter Region and Gastric Adenocarcinoma Risk in an Eastern Chinese Population. Sci. Rep. 6 (1), 1–8. https://doi.org/10.1038/srep20008 (2016).

    Google Scholar 

  30. Vuorinen, S. I. et al. SDC4-rs1981429 and ATM-rs228590 may provide early biomarkers of breast cancer risk. J. Cancer Res. Clin. Oncol. 149 (8), 4563–4578. https://doi.org/10.1007/s00432-022-04236-2 (2023).

    Google Scholar 

  31. Zubair, H., Khan, Z. & Imran, M. Impact of AKT1 polymorphism on DNA damage, BTG2 expression, and risk of colorectal cancer development. Radiol. Oncol. 56 (3), 336–345. https://doi.org/10.2478/raon-2022-0031 (2022).

    Google Scholar 

  32. Pérez-Ramírez, C., Cañadas-Garre, M., Molina, M. Á., Barrera, C., Faus-Dáder, M. J. & J., & Impact of single nucleotide polymorphisms on the efficacy and toxicity of EGFR tyrosine kinase inhibitors in advanced non-small cell lung cancer patients. Mutat. Res. Reviews Mutat. Res. 781, 63–70. https://doi.org/10.1016/j.mrrev.2019.04.001 (2019).

    Google Scholar 

  33. Li, Y. et al. Association of inflammation-related gene polymorphisms with susceptibility and radiotherapy sensitivity in head and neck squamous cell carcinoma patients in northeast China. Front. Oncol. 11 (6), 1–25. https://doi.org/10.3389/fonc.2021.651632 (2021).

    Google Scholar 

  34. Kim, J. G. et al. Prostaglandin synthase 2/cyclooxygenase 2 (PTGS2/COX2) 8473T > C polymorphism associated with prognosis for patients with colorectal cancer treated with capecitabine and oxaliplatin. Cancer Chemother. Pharmacol. 64, 953–960. https://doi.org/10.1007/s00280-009-0947-3 (2009).

    Google Scholar 

  35. Ilozumba, M. N. et al. mTOR pathway candidate genes and energy intake interaction on breast cancer risk in Black women from the Women’s Circle of Health Study. Eur. J. Nutr. 62 (6), 2593–2604. https://doi.org/10.1007/s00394-023-03176-y (2023).

    Google Scholar 

  36. Piao, Y. et al. Association of MTOR and AKT gene polymorphisms with susceptibility and survival of gastric cancer. PloS one. 10 (8), 1–19. https://doi.org/10.1371/journal.pone.0136447 (2015).

    Google Scholar 

  37. He, J. et al. Genetic variations of mTORC1 genes and risk of gastric cancer in an Eastern Chinese population. Mol. Carcinog. 52 (S1), 70–79. https://doi.org/10.1002/mc.22013 (2013).

    Google Scholar 

  38. Zhu, J. et al. Associations of PI3KR1 and mTOR polymorphisms with esophageal squamous cell carcinoma risk and gene-environment interactions in Eastern Chinese populations. Sci. Rep. 5 (1), 1–11. https://doi.org/10.1038/srep08250 (2015).

    Google Scholar 

  39. Devaney, J. M. et al. AKT1 polymorphisms are associated with risk for metabolic syndrome. Hum. Genet. 129 (2), 129–139. https://doi.org/10.1007/s00439-010-0910-8 (2011).

    Google Scholar 

  40. Gibbs, R. A. et al. The international HapMap project. Nature 426, 789–796. https://doi.org/10.1038/nature02168 (2003).

    Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge Fatima Jinnah Women University Rawalpindi and healthy controls/patients for their contribution to this research. We are also grateful to Benazir Bhutto, Holy Family, District Headquarter and PIMS (Pakistan) hospitals for their support and cooperation.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

  1. Department of Biotechnology, Fatima Jinnah Women University, Rawalpindi, Pakistan

    Hira Pervaiz & Nosheen Masood

  2. Department of Pathology, Rai Medical College, Sargodha, Pakistan

    Parvez Azam Malik

  3. Department of Surgery, Rawalpindi Medical University, Rawalpindi, Pakistan

    Jahangir Sarwar Khan

  4. Department of Surgery, Pakistan Institute of Medical Sciences, Islamabad, Pakistan

    Mumtaz Ahmad Khan

  5. Medical Officer, Fauji Foundation Hospital, Lahore, Pakistan

    Hassaan Malik

Authors
  1. Hira Pervaiz
    View author publications

    Search author on:PubMed Google Scholar

  2. Nosheen Masood
    View author publications

    Search author on:PubMed Google Scholar

  3. Parvez Azam Malik
    View author publications

    Search author on:PubMed Google Scholar

  4. Jahangir Sarwar Khan
    View author publications

    Search author on:PubMed Google Scholar

  5. Mumtaz Ahmad Khan
    View author publications

    Search author on:PubMed Google Scholar

  6. Hassaan Malik
    View author publications

    Search author on:PubMed Google Scholar

Contributions

HP contributed to conceptualizing, methodology, writing-original draft, visualization. NM contributed to supervision, validation, writing-review and editing. PAM, JSK, MAK and HM contributed to resources. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Nosheen Masood.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

This study was approved by ethical committee of Fatima Jinnah Women University Rawalpindi (Approval No: FJWU/EC/2024/102, Date: 05-01-2025), Rawalpindi Medical University RMU (Holy Family, Benazir Bhutto, District Headquarter hospitals; Approval No: Ref. No. 531/IREF/RMU/2023, Date: 30-9-2023) and Shaheed Zulfiqar Ali Bhutto Medical University, PIMS, Islamabad (Approval No: F. 1–1/2015/ERB/SZABMU/1203, Date: 30-11-2023). All participants provided their written informed consent before enrollment in this research, and all the methods are carried out in accordance with World Medical Association Declaration of Helsinki.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pervaiz, H., Masood, N., Malik, P.A. et al. Genetic analysis of key players in PI3K signaling cascade of colorectal carcinoma. Sci Rep (2026). https://doi.org/10.1038/s41598-026-42006-z

Download citation

  • Received: 20 November 2025

  • Accepted: 24 February 2026

  • Published: 27 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-42006-z

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Colorectal carcinoma (CRC)
  • Single nucleotide polymorphism (SNP)
  • PIK3CA/AKT/mTOR pathway
  • Tetra ARMS-PCR
  • Linkage disequilibrium (LD)
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer