Bupivacaine inhibits the malignant biological behavior of oral squamous cell carcinoma cells by inhibiting the activation of ERK1/2 and STAT3

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Abstract

Background

Oral squamous cell carcinoma (OSCC) is an aggressive malignant tumor. Bupivacaine (Bupi), a local anesthetic drug, has been shown to display anti-tumor activity against a variety of tumors.

Methods

We selected OSCC CAL-27 cells as the in vitro model. Cell toxicity, proliferation, apoptosis, and stemness were conducted, respectively. The protein levels of Ki67, PCNA, caspase-3, caspase-9, survivin, SOX2, NANOG, OCT4, STAT3, p-STAT3, ERK1/2, and p-ERK1/2 were evaluated by western blotting. Male BALB/c nude mice xenograft model was used to evaluate the effect of Bupi on tumor growth in vivo.

Results

Compared with the control group, Bupi (0.2, 0.5, or 1 µm) significantly decreased the cell viability and the proliferation of CAL-27 cells. Meanwhile, Bupi significantly promoted apoptosis of CAL-27 cells compared with the control group. Additionally, Bupi inhibited the stemness of CAL-27 cells which was evidenced by a sphere formation assay. Bupi decreased the phosphorylation level of STAT3 and ERK1/2 in a dose-dependent manner. The addition of interferon-γ (IFN-γ, 20 ng/mL) in the experiment verified the role of Bupi on STAT3 and ERK1/2 signaling. In vivo, Bupi (40 µmol/kg) obviously suppressed the weight and size of the xenograft tumor, the number of apoptotic cells and Ki67+ decreased. Also, Bupi treatment inhibited the expression of stem-like marker proteins.

Conclusions

Bupi could be used as an anticancer drug against the growth and stemness ability of OSCC. The underlying mechanism may be due to down-regulation of STAT3 and ERK1/2 signaling. This study provides a new insight for the application of Bupi.

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Most cited references 38

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Cancer statistics, 2018

Kimberly D Miller, Rebecca Siegel, Ahmedin Jemal (2018)

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data, available through 2014, were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data, available through 2015, were collected by the National Center for Health Statistics. In 2018, 1,735,350 new cancer cases and 609,640 cancer deaths are projected to occur in the United States. Over the past decade of data, the cancer incidence rate (2005-2014) was stable in women and declined by approximately 2% annually in men, while the cancer death rate (2006-2015) declined by about 1.5% annually in both men and women. The combined cancer death rate dropped continuously from 1991 to 2015 by a total of 26%, translating to approximately 2,378,600 fewer cancer deaths than would have been expected if death rates had remained at their peak. Of the 10 leading causes of death, only cancer declined from 2014 to 2015. In 2015, the cancer death rate was 14% higher in non-Hispanic blacks (NHBs) than non-Hispanic whites (NHWs) overall (death rate ratio [DRR], 1.14; 95% confidence interval [95% CI], 1.13-1.15), but the racial disparity was much larger for individuals aged <65 years (DRR, 1.31; 95% CI, 1.29-1.32) compared with those aged ≥65 years (DRR, 1.07; 95% CI, 1.06-1.09) and varied substantially by state. For example, the cancer death rate was lower in NHBs than NHWs in Massachusetts for all ages and in New York for individuals aged ≥65 years, whereas for those aged <65 years, it was 3 times higher in NHBs in the District of Columbia (DRR, 2.89; 95% CI, 2.16-3.91) and about 50% higher in Wisconsin (DRR, 1.78; 95% CI, 1.56-2.02), Kansas (DRR, 1.51; 95% CI, 1.25-1.81), Louisiana (DRR, 1.49; 95% CI, 1.38-1.60), Illinois (DRR, 1.48; 95% CI, 1.39-1.57), and California (DRR, 1.45; 95% CI, 1.38-1.54). Larger racial inequalities in young and middle-aged adults probably partly reflect less access to high-quality health care. CA Cancer J Clin 2018;68:7-30. © 2018 American Cancer Society.

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Crosstalk between cancer and immune cells: role of STAT3 in the tumour microenvironment.

Marcin Kortylewski, Drew M Pardoll, Hua Yu (2006)

Immune cells in the tumour microenvironment not only fail to mount an effective anti-tumour immune response, but also interact intimately with the transformed cells to promote oncogenesis actively. Signal transducer and activator of transcription 3 (STAT3), which is a point of convergence for numerous oncogenic signalling pathways, is constitutively activated both in tumour cells and in immune cells in the tumour microenvironment. Constitutively activated STAT3 inhibits the expression of mediators necessary for immune activation against tumour cells. Furthermore, STAT3 activity promotes the production of immunosuppressive factors that activate STAT3 in diverse immune-cell subsets, altering gene-expression programmes and, thereby, restraining anti-tumour immune responses. As such, STAT3 propagates several levels of crosstalk between tumour cells and their immunological microenvironment, leading to tumour-induced immunosuppression. Consequently, STAT3 has emerged as a promising target for cancer immunotherapy.

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Stromal features are predictive of disease mortality in oral cancer patients : Stromal features predict oral cancer mortality

Daniel Marsh, Krishna Suchak, Karwan A Moutasim … (2011)

Worldwide, approximately 405 000 cases of oral cancer (OSCC) are diagnosed each year, with a rising incidence in many countries. Despite advances in surgery and radiotherapy, which remain the standard treatment options, the mortality rate has remained largely unchanged for decades, with a 5-year survival rate of around 50%. OSCC is a heterogeneous disease, staged currently using the TNM classification, supplemented with pathological information from the primary tumour and loco-regional lymph nodes. Although patients with advanced disease show reduced survival, there is no single pathological or molecular feature that identifies aggressive, early-stage tumours. We retrospectively analysed 282 OSCC patients for disease mortality, related to clinical, pathological, and molecular features based on our previous functional studies [EGFR, αvβ6 integrin, smooth muscle actin (SMA), p53, p16, EP4]. We found that the strongest independent risk factor of early OSCC death was a feature of stroma rather than tumour cells. After adjusting for all factors, high stromal SMA expression, indicating myofibroblast transdifferentiation, produced the highest hazard ratio (3.06, 95% CI 1.65-5.66) and likelihood ratio (3.6; detection rate: false positive rate) of any feature examined, and was strongly associated with mortality, regardless of disease stage. Functional assays showed that OSCC cells can modulate myofibroblast transdifferentiation through αvβ6-dependent TGF-β1 activation and that myofibroblasts promote OSCC invasion. Finally, we developed a prognostic model using Cox regression with backward elimination; only SMA expression, metastasis, cohesion, and age were significant. This model was independently validated on a patient subset (detection rate 70%; false positive rate 20%; ROC analysis 77%, p < 0.001). Our study highlights the limited prognostic value of TNM staging and suggests that an SMA-positive, myofibroblastic stroma is the strongest predictor of OSCC mortality. Whether used independently or as part of a prognostic model, SMA identifies a significant group of patients with aggressive tumours, regardless of disease stage. Copyright © 2011 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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Author and article information

Journal

Journal ID (nlm-ta): Ann Transl Med

Journal ID (iso-abbrev): Ann Transl Med

Journal ID (publisher-id): ATM

Title: Annals of Translational Medicine

Publisher: AME Publishing Company

ISSN (Print): 2305-5839

ISSN (Electronic): 2305-5847

Publication date (Print and electronic): May 2021

Publication date (Print): May 2021

Volume: 9

Issue: 10

Electronic Location Identifier: 839

Affiliations

[1 ]Oral & Maxillofacial Reconstruction and Regeneration Laboratory, Southwest Medical University, Luzhou , China;

[2 ]Department of Periodontics & Oral Medicine, The Affiliated Hospital of Stomatology of Southwest Medical University, Luzhou , China;

[3 ]deptMedical Administration Department , Hospital of Chengdu University of Traditional Chinese Medicine , Chengdu, China;

[4 ]Department of Prosthodontics, The Affiliated Hospital of Stomatology of Southwest Medical University, Luzhou , China

Author notes

Contributions: (I) Conception and design: Z Wang, J Zhang, L Fan; (II) administrative support: Y Wen; (III) provision of study materials or patients: Z Wang, Y Wen, J Zhang, P Wang; (IV) collection and assembly of data: All authors; (V) data analysis and interpretation: Y Wen, J Zhang, P Wang, L Fan; (VI) manuscript writing: All authors; (VII) final approval of manuscript: All authors.

[#]

These authors contributed equally to this work.

Correspondence to: Liyuan Fan. No. 2 Jiang Yang Nan Lu, Luzhou, China. Email: fanliyuan_8356@ 123456163.com .

Article

Publisher ID: atm-09-10-839

DOI: 10.21037/atm-21-1414

PMC ID: 8184410

PubMed ID: 34164473

SO-VID: fd224787-0495-40b8-8284-68dbeadb434e

License:

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

Bupivacaine inhibits the malignant biological behavior of oral squamous cell carcinoma cells by inhibiting the activation of ERK1/2 and STAT3

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Abstract

Background

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Conclusions

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Stress signalling in stem cells

Most cited references 38

Cancer statistics, 2018

Crosstalk between cancer and immune cells: role of STAT3 in the tumour microenvironment.

Stromal features are predictive of disease mortality in oral cancer patients : Stromal features predict oral cancer mortality

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