Epidermal Growth Factor Receptor Expression and Mutations as Diagnostic and Predictive Biomarkers in Lung Cancer: A Literature Review

Authors

DOI:

https://doi.org/10.58545/jkki.v6i1.712

Abstract

Lung cancer remains a leading cause of cancer-related mortality worldwide, with diagnostic challenges due to nonspecific symptoms and limitations in tissue sampling. Molecular biomarkers, particularly Epidermal Growth Factor Receptor (EGFR), have gained attention for improving diagnostic accuracy and understanding tumor biology. EGFR plays a critical role in regulating cell proliferation, differentiation, and survival through multiple signaling pathways. This study aims to analyze the role of EGFR expression as a diagnostic biomarker in lung cancer by reviewing its biological function, molecular mechanisms, and clinical relevance. This study used a literature review approach by collecting relevant articles from databases such as PubMed, Scopus, and Google Scholar. Keywords including “EGFR,” “lung cancer,” and “biomarker” were used to identify studies discussing EGFR expression and its diagnostic value. EGFR overexpression and mutations are frequently found in lung cancer, especially non-small cell lung cancer. Activation of EGFR triggers signaling pathways such as MAPK, PI3K, and STAT, promoting tumor proliferation and survival. Detection methods, including immunohistochemistry, PCR, and FISH, are widely used. EGFR expression has shown potential as a diagnostic biomarker and provides important information for targeted therapy. EGFR expression plays a significant role in lung cancer diagnosis and offers potential as a diagnostic biomarker. However, variations across populations and tumor subtypes require careful interpretation in clinical applications.

Keywords:

Epidermal Growth Factor Receptor, EGFR, Lung Cancer, Biomarker

Downloads

Download data is not yet available.

Author Biographies

Sri Melati Munir, Faculty of Medicine, Universitas Andalas, Padang, Indonesia

  1. Doctoral Program of Biomedical Science, Faculty of Medicine, Universitas Andalas, Padang - Indonesia
  2. Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, University of Riau, Pekanbaru - Indonesia

Wirsma Arief Harahap, Faculty of Medicine, Universitas Andalas, Padang, Indonesia

Departement of Surgical Oncology

Masrul Basyar, Universitas Andalas/M. Djamil General Hospital, Padang, West Sumatera, Indonesia

Departement of Pulmonology and Respiratory Medicine

Noza Hilbertina, Faculty of Medicine, Universitas Andalas, Padang, Indonesia

Departement of Pathology Anatomi

References

Bethune, G., Bethune, D., Ridgway, N., & Xu, Z. (2010). Epidermal growth factor receptor (EGFR) in lung cancer: An overview and update. Journal of Thoracic Disease, 2(1), 48–51. https://doi.org/10.3978/j.issn.2072-1439.2010.02.01.017

Gainor, J. F., Shaw, A. T., Sequist, L. V., Fu, X., Azzoli, C. G., Borger, D. R., Khatri, K. K., Dougherty, M. M., Schultz, L. R., Piotrowska, Z., Iafrate, A. J., Wain, J. C., Digumarthy, S. S., Mino-Kenudson, M., Pao, W., Benes, C. H., & Engelman, J. A. (2016). EGFR mutations and ALK rearrangements are associated with low response rates to PD-1 pathway blockade in non-small cell lung cancer: A retrospective analysis. Clinical Cancer Research, 22(18), 4585–4593. https://doi.org/10.1158/1078-0432.CC R-15-3101 DOI: https://doi.org/10.1158/1078-0432.CCR-15-3101

Gao, S. P., Mark, K. G., Leslie, K., Pao, W., Motoi, N., Gerald, W. L., Travis, W. D., Bornmann, W., Veach, D., Clarkson, B., & Bromberg, J. F. (2007). Mutations in the EGFR kinase domain mediate STAT3 activation via IL-6 production in human lung adenocarcinomas. Journal of Clinical Investigation, 117(12), 3846–3856. https://doi.org/10.1172/JCI31871 DOI: https://doi.org/10.1172/JCI31871

Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., Louis, D. N., Christiani, D. C., Settleman, J., & Haber, D. A. (2004). Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. New England Journal of Medicine, 350(21), 2129–2139. https://doi.org/10.1056/NEJMoa040938 DOI: https://doi.org/10.1056/NEJMoa040938

Marchetti, A., Martella, C., Felicioni, L., Barassi, F., Salvatore, S., Chella, A., Camplese, P. P., Iarussi, T., Mucchi, F., Proiettis, A., Mezzetti, A., & Buttitta, F. (2005). EGFR mutations in non-small-cell lung cancer: Analysis of a large series of cases and development of a rapid and sensitive method for diagnostic screening with potential implications on pharmacologic treatment. Journal of Clinical Oncology, 23(4), 857–865. https://doi.org/10.1200/JCO.2005.08.043 DOI: https://doi.org/10.1200/JCO.2005.08.043

Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., Naoki, K., Sasaki, H., Fujii, Y., Eck, M. J., Sellers, W. R., Johnson, B. E., & Meyerson, M. (2004). EGFR mutations in lung cancer: Correlation with clinical response to gefitinib therapy. Science, 304(5676), 1497–1500. https://doi.org/10.1126/science.1099314 DOI: https://doi.org/10.1126/science.1099314

Pao, W., Miller, V., Zakowski, M., Doherty, J., Politi, K., Sarkaria, I., Singh, B., Heelan, R., Rusch, V., Fulton, L., Mardis, E., Kupfer, D., Wilson, R., Kris, M., & Varmus, H. (2004). EGF receptor gene mutations are common in lung cancers from "never smokers" and are associated with sensitivity of tumors to gefitinib and erlotinib. Proceedings of the National Academy of Sciences of the United States of America, 101(36), 13306–13311. https://doi.org/10.1073/pnas.0405220101 DOI: https://doi.org/10.1073/pnas.0405220101

Shi, Y., Au, J. S. K., Thongprasert, S., Srinivasan, S., Tsai, C. M., Khoa, M. T., Heeroma, K., Itoh, Y., Cornelio, G., & Yang, P. C. (2014). A prospective, molecular epidemiology study of EGFR mutations in Asian patients with advanced non-small-cell lung cancer of adenocarcinoma histology (PIONEER). Journal of Thoracic Oncology, 9(2), 154–162. https://doi.org/10.1097/JTO.0000000000000033 DOI: https://doi.org/10.1097/JTO.0000000000000033

Song, L., Morris, M., Bagui, T., Lee, F. Y., Jove, R., & Haura, E. B. (2006). Dasatinib (BMS-354825) selectively induces apoptosis in lung cancer cells dependent on epidermal growth factor receptor signaling for survival. Cancer Research, 66(11), 5542–5548. https://doi.org/10.1158/0008-5472.C AN-05-4620 DOI: https://doi.org/10.1158/0008-5472.CAN-05-4620

Soetandyo, N., Hanafi, A. R., Agustini, S., & Sinulingga, D. T. (2020). Prognosis of advanced stage non-small-cell lung cancer patients receiving chemotherapy: Adenocarcinoma versus squamous cell carcinoma. Medical Journal of Indonesia, 29(1), 26–31. https://doi.org/10.13181/mji.oa.203787 DOI: https://doi.org/10.13181/mji.oa.203787

Sordella, R., Bell, D. W., Haber, D. A., & Settleman, J. (2004). Gefitinib-sensitizing EGFR mutations in lung cancer activate anti-apoptotic pathways. Science, 305(5687), 1163–1167. https://doi.org/10.1126/science.1101637 DOI: https://doi.org/10.1126/science.1101637

Suda, K., Rozeboom, L., Rivard, C. J., Yu, H., Ellison, K., & Melnick, M. A. C. (2017). Therapy-induced E-cadherin downregulation alters expression of programmed death ligand-1 in lung cancer cells. Lung Cancer, 109, 1–8. https://doi.org/10.1016/j.lungcan.2017.04.023 DOI: https://doi.org/10.1016/j.lungcan.2017.04.010

Tracy, S., Mukohara, T., Hansen, M., Meyerson, M., Johnson, B. E., & Jänne, P. A. (2004). Gefitinib induces apoptosis in the EGFRL858R non-small-cell lung cancer cell line H3255. Cancer Research, 64(20), 7241–7244. https://doi.org/10.1158/0008-5472.CAN-04-1905 DOI: https://doi.org/10.1158/0008-5472.CAN-04-1905

Downloads

Published

30-04-2026

How to Cite

Munir, S. M., Harahap, W. A., Basyar, M., & Hilbertina, N. (2026). Epidermal Growth Factor Receptor Expression and Mutations as Diagnostic and Predictive Biomarkers in Lung Cancer: A Literature Review. Jurnal Kesehatan Komunitas Indonesia, 6(1), 148–161. https://doi.org/10.58545/jkki.v6i1.712

Issue

Section

Articles

PlumX Metrics