The Effect of Anesthesia on TGF-β Levels in Lung Tumor Patients Undergoing Bronchoscopy: A Literature Review
DOI:
https://doi.org/10.58545/jkki.v6i1.713Abstract
Lung cancer remains the leading cause of cancer-related mortality worldwide, with persistently low survival rates. Bronchoscopy is an essential diagnostic procedure in patients with lung tumors and often requires anesthesia to improve comfort and procedural success. Emerging evidence suggests that anesthetic agents and techniques may influence tumor biology through modulation of immune responses and inflammatory mediators. Transforming Growth Factor-Beta (TGF-β) is a multifunctional cytokine involved in cell proliferation, differentiation, immune regulation, and extracellular matrix remodeling, and plays a critical role in cancer progression. This literature review aims to evaluate current evidence regarding the effects of anesthetic agents and techniques on TGF-β levels and their implications for tumor biology in patients with lung tumors undergoing bronchoscopy. A narrative literature review approach was used to analyze scientific publications exploring the relationship between anesthesia, immune modulation, cytokine alterations, and cancer progression, particularly focusing on inhalational and intravenous anesthetics. Surgical stress and anesthetic exposure can alter immune responses through activation of neuroendocrine pathways, leading to cytokine imbalance and immunosuppression. TGF-β exhibits dual roles in cancer, acting as a tumor suppressor in early stages and a tumor promoter in advanced stages. Inhalational anesthetics may enhance tumor progression, whereas intravenous anesthetics such as propofol may have immunomodulatory effects. Anesthetic techniques may influence tumor-related pathways, including TGF-β; however, evidence remains limited and inconsistent, requiring further well-designed studies.
Keywords:
Lung Cancer, Bronchoscopy, Anesthesia, TGF-β, Tumor Microenvironment, ImmunomodulationDownloads
References
Aerts, J. G., van der Leest, C., Hegmans, J. P., Amelink, A., Hemmes, A., & den Bakker, M. A. (2007). HIF1α expression in bronchial biopsies correlates with tumor microvascular saturation determined using optical spectroscopy. European Respiratory Journal, 30 (Suppl 51), 312s. https://doi.org/10.1183/09031936.000312s07
Aftabi, S., Behrooz, A. B., Cordani, M., Rahiman, N., & Sadeghdoust, M. (2025). Therapeutic targeting of TGF-β in lung cancer. FEBS Journal, 292(7), 1520–1557. https://doi.org/10.1111/febs.17234
Baba, A. B., Rah, B., Bhat, G. R., Mushtaq, I., Parveen, S., Hassan, R., Zargar, M. H., & Afroze, D. (2022). Transforming growth factor-beta (TGF-β) signaling in cancer: A betrayal within. Frontiers in Pharmacology, 13, 791272. https://doi.org/10.3389/fphar.2022.791272
Barta, J. A., Powell, C. A., & Wisnivesky, J. (2019). Global epidemiology of lung cancer. Annals of Global Health, 85(1), 8. https://doi.org/10.5334/aogh.2419
Bauer, T. T., Arosio, C., Montón, C., Filella, X., Xaubet, A., & Torres, A. (2001). Systemic inflammatory response after bronchoalveolar lavage in critically ill patients. European Respiratory Journal, 17(2), 274–280. https://doi.org/10.1183/09031936.01.17202740
Biswas, A., Mehta, H. J., & Sriram, P. S. (2019). Diagnostic yield of the virtual bronchoscopic navigation system guided sampling of peripheral lung lesions using ultrathin bronchoscope and protected bronchial brush. Turkish Thoracic Journal, 20(1), 6–11. https://doi.org/10.5152/TurkThoracJ.2018.18030
Bogere, N., Bongomin, F., Katende, A., Omaido, B. A., Namukwaya, E., Mayanja-Kizza, H., & Walusansa, V. (2022). A 10-year retrospective study of lung cancer in Uganda. BMC Cancer, 22(1), 204. https://doi.org/10.1186/s12885-022-09300-1
Choi, J. S., Lee, E. H., Lee, S. H., & Lim, J. U. (2020). Risk factors for predicting hypoxia in adult patients undergoing bronchoscopy under sedation. Tuberculosis and Respiratory Diseases, 83(4), 276–282. https://doi.org/10.4046/trd.2020.0022
de Groot, P. M., Wu, C. C., Carter, B. W., & Munden, R. F. (2018). The epidemiology of lung cancer. Translational Lung Cancer Research, 7(3), 220–233. https://doi.org/10.21037/tlcr.2018.05.06
Dubowitz, J. A., Sloan, E. K., & Riedel, B. J. (2018). Implicating anaesthesia and the perioperative period in cancer recurrence and metastasis. Clinical & Experimental Metastasis, 35(1–2), 1–14. https://doi.org/10.1007/s10585-017-9862-x
Ecimovic, P., McHugh, B., Murray, D., Doran, P., & Buggy, D. J. (2013). Effects of sevoflurane on breast cancer cell function in vitro. Anticancer Research, 33(10), 4255–4260. https://ar.iiarjournals.org/content/33/10/4255
Fang, P., Zhou, J., Xia, Z., Lu, Y., & Li, X. (2022). Effects of propofol versus sevoflurane on postoperative breast cancer prognosis: A narrative review. Frontiers in Oncology, 11, 795864. https://doi.org/10.3389/fonc.2021.795864
Folch, E. E., Labarca, G., Ospina-Delgado, D., Khandhar, S. J., Mehta, H. J., Chawla, S., ... & Chen, A. (2020). Sensitivity and safety of electromagnetic navigation bronchoscopy for lung cancer diagnosis: Systematic review and meta-analysis. Chest, 158(4), 1753–1769. https://doi.org/10.1016/j.chest.2020.05.534
Furler, R. L., Nixon, D. F., Brantner, C. A., Popratiloff, A., & Uittenbogaart, C. H. (2018). TGF-β sustains tumor progression through biochemical and mechanical signal transduction. Cancers, 10(6), 199. https://doi.org/10.3390/cancers10060199
Huang, J., Deng, Y., Tin, M. S., Lok, V., Ngai, C. H., Zhang, L., ... & Wong, M. C. S. (2022). Distribution, risk factors, and temporal trends for lung cancer incidence and mortality: A global analysis. Chest, 161(4), 1101–1111. https://doi.org/10.1016/j.chest.2021.12.655
Huang, Y. H., Lee, M. S., Lou, Y. S., Lai, H. C., Yu, J. C., & Chen, C. Y. (2019). Propofol-based total intravenous anesthesia did not improve survival compared to desflurane anesthesia in breast cancer surgery. PLOS ONE, 14(11), e0225111. https://doi.org/10.1371/journal.pone.0225111
Jin, Z., Li, R., Liu, J., & Liu, J. (2019). Long-term prognosis after cancer surgery with inhalational anesthesia and total intravenous anesthesia: A systematic review and meta-analysis. International Journal of Physiology, Pathophysiology and Pharmacology, 11(4), 107–117. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873422/
Jing, Y., Zhang, Y., Pan, R., & Dong, K. (2022). Effect of inhalation anesthetics on tumor metastasis. Cancer Control, 29. https://doi.org/10.1177/10732748221121092
Kano, H., Kubo, T., Ninomiya, K., Ichihara, E., Ohashi, K., Kishino, R., ... & Kiura, K. (2021). Comparison of bronchoscopy and computed tomography-guided needle biopsy for re-biopsy in non-small cell lung cancer patients. Respiratory Investigation, 59(2), 240–246. https://doi.org/10.1016/j.resinv.2020.10.006
Khan, G. J., Gao, Y., Gu, M., Wang, L., Khan, S., Niu, F., ... & Yuan, S. (2018). TGF-β1 causes EMT by regulating N-acetyl glucosaminyl transferases via downregulation of non muscle myosin II-A through JNK/P38/PI3K pathway in lung cancer. Current Cancer Drug Targets, 18(2), 209–220. https://doi.org/10.2174/1568009617666170302104643
Kim, M. H., Kim, D. W., Kim, J. H., Lee, K. Y., Park, S., Yun, Y. S., ... & Kim, J. H. (2017). Does the type of anesthesia really affect the recurrence-free survival after breast cancer surgery? Oncotarget, 8(52), 89717–89728. https://doi.org/10.18632/oncotarget.21035
Kim, R. (2018). Effects of surgery and anesthetic choice on immunosuppression and cancer recurrence. Journal of Translational Medicine, 16(1), 8. https://doi.org/10.1186/s12967-018-1389-7
Kochiyama, T., Li, X., Nakayama, H., Kage, M., Yamane, Y., & Takada, K. (2019). Effect of propofol on the production of inflammatory cytokines by human polarized macrophages. Mediators of Inflammation, 2019, 1919538. https://doi.org/10.1155/2019/1919538
Lai, H. C., Lee, M. S., Liu, Y. T., Lin, K. T., Hung, K. C., Chen, C. Y., ... & Wong, C. S. (2020). Propofol-based intravenous anesthesia is associated with better survival than desflurane anesthesia in pancreatic cancer surgery. PLOS ONE, 15(5), e0233598. https://doi.org/10.1371/journal.pone.0233598
Lee, P. (2010). Bronchoscopy in lung cancer: Appraisal of current technology and for the future. Journal of Thoracic Oncology, 5(8), 1290–1300. https://doi.org/10.1097/JTO.0b013e3181e41843
Levitt, H. M., Bamberg, M., Creswell, J. W., Frost, D. M., Josselson, R., & Suárez-Orozco, C. (2018). Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 26–46. https://doi.org/10.1037/amp0000151
Li, J., Shen, C., Wang, X., Lai, Y., Zhou, K., Li, P., ... & Wang, J. (2019). Prognostic value of TGF-β in lung cancer: Systematic review and meta-analysis. BMC Cancer, 19(1), 691. https://doi.org/10.1186/s12885-019-5917-5
Li, R., Mukherjee, M. B., Jin, Z., Liu, H., Lin, K., & Liu, Q. (2023). The potential effect of general anesthetics in cancer surgery: Meta-analysis of postoperative metastasis and inflammatory cytokines. Cancers, 15(10), 2694. https://doi.org/10.3390/cancers15102694
Longhini, F., Bruni, A., Garofalo, E., De Sarro, R., Memeo, R., & Navalesi, P. (2020). Anesthetic strategies in oncological surgery: Not only a simple sleep, but also impact on immunosuppression and cancer recurrence. Cancer Management and Research, 12, 931–940. https://doi.org/10.2147/CMAR.S237224
Ma, R., Han, J., Yan, S., & Wang, Y. (2024). The role of transforming growth factor-β (TGF-β) in the formation of exhausted CD8+ T cells. Clinical and Experimental Medicine, 24(1), 128. https://doi.org/10.1007/s10238-024-01394-0
Miles, M. B., & Huberman, A. M. (1992). Analisis data kualitatif. Universitas Indonesia Press.
Oliveira, T. B., Braga, C. L., Battaglini, D., Pelosi, P., Rocco, P. R. M., Silva, P. L., & Cruz, F. F. (2023). Comparison between sevoflurane and propofol on immunomodulation in an in vitro model of sepsis. Frontiers in Medicine, 10, 1225179. https://doi.org/10.3389/fmed.2023.1225179
Sen, Y., Xiyang, H., & Huang, Y. (2019). Effect of thoracic paraspinal block-propofol intravenous general anesthesia on VEGF and TGF-β in patients receiving radical resection of lung cancer. Medicine, 98(47), e17936. https://doi.org/10.1097/MD.0000000000017936
Sharma, R. (2022). Mapping of global, regional and national incidence, mortality and mortality-to-incidence ratio of lung cancer in 2020 and 2050. International Journal of Clinical Oncology, 27(4), 665–675. https://doi.org/10.1007/s10147-021-02108-4
Sheikh, K. A., Amjad, M., Irfan, M. T., Anjum, S., Majeed, T., Riaz, M. U., ... & Wei, X. (2024). Exploring TGF-β signaling in cancer progression: Prospects and therapeutic strategies. OncoTargets and Therapy, 17, 233–258. https://doi.org/10.2147/OTT.S493643
Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660
Tai, Y., Zheng, L., Liao, J., Wang, Z., & Li, Z. (2023). Roles of the HIF-1α pathway in the development and progression of keloids. Heliyon, 9(8), e18651. https://doi.org/10.1016/j.heliyon.2023.e18651
Takabuchi, S., Hirota, K., Nishi, K., Oda, S., Oda, T., Sekine, K., ... & Fukuda, K. (2004). The intravenous anesthetic propofol inhibits hypoxia-inducible factor 1 activity in an oxygen tension-dependent manner. FEBS Letters, 577(3), 434–438. https://doi.org/10.1016/j.febslet.2004.10.070
Tang, Y., Tang, L., Yao, Y., Huang, H., & Chen, B. (2024). Effects of anesthesia on long-term survival in cancer surgery: A systematic review and meta-analysis. Heliyon, 10(4), e24791. https://doi.org/10.1016/j.heliyon.2024.e24791
Xue, V. W., Chung, J. Y. F., Córdoba, C. A. G., Cheung, A. H. K., Kang, W., & Law, P. T. W. (2020). Transforming growth factor-β: A multifunctional regulator of cancer immunity. Cancers, 12(11), 3099. https://doi.org/10.3390/cancers12113099
Yoon, S., Lee, B. H., Han, W., Noh, D. Y., Park, S. K., & Kim, W. K. (2019). Inhalation anesthesia for breast cancer surgery: A systematic review and meta-analysis. Anesthesiology, 130(1), 31–40. https://doi.org/10.1097/ALN.0000000000002484
Yan, T., Zhang, G. H., Wang, B. N., Sun, L., & Zhang, H. (2018). Effects of propofol/remifentanil-based total intravenous anesthesia versus sevoflurane-based inhalational anesthesia on the release of VEGF-C and TGF-β and prognosis after breast cancer surgery: A prospective, randomized and controlled study. BMC Anesthesiology, 18(1), 131. https://doi.org/10.1186/s12871-018-0588-3
Yu, B., Gao, W., Zhou, H., Miao, X., Chang, Y., & Wang, L. (2018). Propofol induces apoptosis of breast cancer cells by downregulation of miR-24 signal pathway. Cancer Biomarkers, 21(3), 513–519. https://doi.org/10.3233/CBM-170234
Zhang, W., Sheng, B., Chen, S., Zhao, H., Wu, L., & Sun, Y. (2020). Sevoflurane enhances proliferation, metastatic potential of cervical cancer cells via the histone deacetylase 6 modulation in vitro. Anesthesiology, 133(1), 81–95. https://doi.org/10.1097/ALN.0000000000003323
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Johannas, Efrida, Masrul Basyar, Eryati Darwin

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Sri Melati Munir, Wirsma Arief Harahap, Masrul Basyar, Noza Hilbertina, Epidermal Growth Factor Receptor Expression and Mutations as Diagnostic and Predictive Biomarkers in Lung Cancer: A Literature Review , Jurnal Kesehatan Komunitas Indonesia: Vol. 6 No. 1: April 2026


