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Monocarboxylate Transporter 4 Expression in Thyroid Cancer
Int J Thyroidol 2024;17(2):272-276
Published online November 30, 2024;  https://doi.org/10.11106/ijt.2024.17.2.272
© 2024 Korean Thyroid Association.

Chae A Kim1, Jungmin Yoo1, Woo Kyung Lee2, Dong Eun Song3, Won Gu Kim1 and Min Ji Jeon1

Divsion of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine1, Seoul, Korea, Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University2, Cleveland, Ohio, USA, Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine3, Seoul, Korea
Correspondence to: Won Gu Kim, MD, PhD, Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea
Tel: 82-2-3010-5883, Fax: 82-2-3010-6862, E-mail: wongukim@amc.seoul.kr

Min Ji Jeon, MD, PhD, Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea
Tel: 82-2-3010-1317, Fax: 82-2-3010-6962, E-mail: mj080332@amc.seoul.kr
Received February 12, 2024; Revised April 18, 2024; Accepted April 19, 2024.
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background and Objectives: Monocarboxylate transporter 4 (MCT4) transmembrane proteins are encoded by SLC16A3 and control lactate metabolism to promote tumor growth. Materials and Methods: Gene expression of SLC16A3 encoding MCT4 was analyzed in the database of Gene Expression Omnibus. Protein expression of MCT4 was evaluated using immunohistochemical staining in 138 papillary thyroid carcinomas (PTCs) and 21 anaplastic thyroid carcinomas (ATCs). Results: The mRNA expression of SLC16A3 was significantly higher in ATCs compared with PTCs and normal thyroid tissue (p<0.01, and p<0.001, respectively). Normal thyroid tissue did not express MCT4 in immunohistochemical staining compared with ATC that was 100% positive for MCT4 protein expression. The MCT4 expression in ATCs was significantly enhanced compared with that in PTC (p<0.001). Conclusion: MCT4 expression is associated with de-differentiation and might be helpful as a biomarker and therapeutic target for thyroid cancer.
Keywords : Monocarboxylate transporter protein, SLC16A3, Papillary thyroid carcinoma, Anaplastic thyroid carcinoma
Introduction

Monocarboxylate transporters (MCTs) are transmembrane proteins and essential regulators of lactate metabolism in cancer.1) MCT4 is encoded by SLC16A3 and facilitates lactic acid efflux from cells based on high glycolysis rates.2) MCT4 overexpression has been found in aggressive cancer types, including breast, colorectal, head and neck, and lung cancer, because of their increased need for lactate production in cancer cells.3-9) MCT4 expression is significantly correlated with aggressive pathological characteristics, advanced staging, and prognosis in colorectal and head and neck cancer.4,5) In clear renal cell carcinoma, high MCT4 expression is associated with reduced progression-free survival.7)

Lactate is a product of the glycolytic mechanism. High levels of lactate in thyroid cancer are reported to be involved in the pathway of tumorigenesis and immune system inhibition.10,11) A recent in vitro study suggests that inhibition of lactate shuttles by MCT4 decreased cell proliferation of anaplastic thyroid carcinoma (ATC).12) It has been previously indicated that the tissue lactate level of papillary thyroid carcinoma (PTC) is significantly higher than that of the matched normal thyroid or benign tissues.13) One study suggested higher MCT4 expression in fibroblasts of PTC tissues and a potential association of higher MCT4 expression with advanced PTC.14) Another study discovered patients with MCT4-expressed PTCs had shorter survivals than those with MCT4-negative PTCs.15) To our knowledge, no study has focused on the potential association of MCT4 expression and de-differentiation of thyroid cancer.

In this study, the mRNA expression of SLC16A3, which encodes the MCT4 protein, was evaluated using a public database. Subsequently, the protein expression of MCT4 in ATCs, PTCs, and normal thyroid tissues was evaluated.

Materials and Methods

Three different transcriptome datasets of PTC, ATC, and their matched or unmatched normal thyroid tissues were collected from the Gene Expression Omnibus (ncbi.nlm.nih.gov/geo; GSE65144, GSE29265, and GSE33630). Using these datasets, mRNA expression of SLC16A3 encoding MCT4 protein between normal, PTC, and ATC was compared to determine whether this gene is an oncogene.

Archival formalin-fixed, paraffin-embedded (FFPE) tissues were selected from surgically removed thyroid samples collected between 1997 and 2013 at the Asan Medical Center in Korea. A total of 138 fresh frozen PTC samples with 120 matched normal thyroid samples and 21 ATC samples were used for immunohistochemistry (IHC) analysis. The FFPE tissue samples were arrayed using a tissue-arraying instrument (MTAII; Beecher Instruments, Silver Spring, Sun Prairie, WI, USA). The MCT4 protein expression was assessed via IHC staining with an anti-MCT4 antibody (Invitrogen, Waltham, MA, USA). IHC staining was conducted on the tissue microarray sections using a BenchMark XT automated immunostaining device (Ventana Medical Systems, Tucson, AZ, USA) with the opt iView DAB IHC Detection Kit (Ventana Medical Systems) according to the manufacturer’s instructions, as previously described.13,16) The MCT4 expression was graded semi-quantitatively by an experienced endocrine pathologist (D.E.S.) as follows: 0, negative; 1+ (<10% positive), weak; 2+ (10-50% positive), moderate; 3+ (>50% positive), strong. The samples with higher intensity scores (2+ or 3+) were classified as positive for MCT4 expression. The study protocol was approved by the Institutional Review Board of the Asan Medical Center (IRB no: 2013-0539).

R (version 3.5.1, R Foundation for Statistical Computing, Vienna, Austria; https://www.r-project.org/) was used for statistical analysis. Continuous and categorical variables are presented as mean (standard deviation) and number (percentage). Fisher’s least significant difference was used for post hoc analysis. Continuous variables were compared using the Student’s t-test. All p-values were two-sided, and p<0.05 was considered statistically significant.

Results

Using three different public datasets, first, the clinical importance of SLC16A3 encoding MCT4 protein was explored by tracing the gene expression during thyroid cancer progression from normal to ATC. The mRNA expression of SLC16A3 was significantly higher in ATCs compared with PTCs and normal thyroid tissues (p<0.01, and p<0.001, respectively; Fig. 1A, C). To exclude individual gene expression variation, matched analysis of normal and ATC tissues was performed. As a result, SLC16A3 expression was consistently upregulated in ATCs compared with their matched normal tissues (p<0.05; Fig. 1B). Next, the other two datasets, including normal tissues, PTCs, and ATCs, were analyzed. Interestingly, SLC16A3 expression in both datasets progressively increased as human thyroid cancer advanced from normal and PTC to ATC (Fig. 1C, D). In summary, SLC16A3 is an oncogene that promotes human thyroid progression.

Fig. 1. SLC16A3 is an oncogene for human thyroid cancer progression. Unmatched (A) and matched (B) comparison of mRNA expression of SLC16A3 between normal thyroid and ATC tissues in GSE65144. (C, D) Comparison of SLC16A3 mRNA expression between normal thyroid, PTC, and ATC tissues in GSE29265 (C) and GSE33630 (D). Statistical analyses were performed using a two-tailed Student t-test. Data represent the mean±standard deviation. Asterisks (*p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001) indicate significant differences from the statistical analyses. ATC: anaplastic thyroid carcinoma, PTC: papillary thyroid carcinoma

Subsequently, the MCT4 protein expression levels in thyroid cancer tissues were evaluated. The mean age of the patients was 50.0±15.2 years, and patients with ATC were older than others (p<0.001). Most patients (130, 81.8%) were female. The mean primary tumor size was 3.0±1.8 cm, and the mean tumor size of ATC (5.2±2.7 cm) was significantly larger than the others (p<0.001). Fig. 2 shows IHC results of MCT4 expression and their analyses. Normal thyroid tissue did not express MCT4 in IHC staining compared with ATC that was 100% positive for MCT4 protein expression (Fig. 2E). In the ATCs, according to the proportion of positively stained cells, 6 (21%) indicated <10%, 8 (38%) indicated 10-50%, and 7 (33%) indicated >50% MCT4 expression, respectively. The MCT4 expression in ATCs was significantly increased compared with that in normal tissues and PTCs (p<0.001 and p<0.001, respectively; Fig. 2E).

Fig. 2. Expression of MCT4 protein in the normal thyroid tissue, papillary thyroid carcinoma, and anaplastic thyroid carcinoma. Representative images for IHC staining of MCT4 protein in thyroid tissue. All figures are low magnification images (×200). (A) Representative MCT4 negative expression in PTC tissue. (B) <10% positive stain cells (1+) in PTC tissue. (C) 10-50% positive, (2+) in ATC tissue. (D) >50% positive (3+) stain cells in ATC tissue. (E) Comparison of protein expression of MCT4 between normal (n=120), PTC (n=138), and ATC (n=21). Asterisks (***p<0.001) indicate significant differences from the statistical analyses. ATC: anaplastic thyroid carcinoma, IHC: immunohistochemical, PTC: papillary thyroid carcinoma
Discussion

Increased glucose metabolism by glycolysis and lactate production is a hallmark of cancer cells.17) There are 14 members of MCTs, and the first four MCTs (MCTs 1, 2, 3, and 4) are metabolically essential transporters for monocarboxylates, such as lactate pyruvate and ketone bodies.18) MCT4 is predominantly expressed in cells with an increased glycolytic pathway to facilitate lactate export.19) Increased lactate secretion by tumor and stromal cells acidifies the tumor microenvironment and contributes to cancer cell proliferation, survival, angiogenesis, and altered immune responses.20) An experimental approach to knock down SLC16A3 showed that MCT4 contributes to cancer cell aggressiveness by facilitating cell migration and invasion.8,9) Another experimental study discovered that inhibiting MCT4 and lactate export reduces ATC cell growth, indicating a potential treatment strategy.12) These findings suggested the importance of MCT4 in the tumor microenvironment and indicated that targeting MCT4 can be implemented as a therapeutic strategy.

In this study, ATC was found to have significantly increased the expression of SLC16A3 and MCT4 protein compared with normal tissues and PTCs following cancer progression and de-differentiation. Recently, several studies have suggested an association between increased MCT4 expression and PTC aggressiveness.14,15,21) A study by Nahm et al.15) evaluated the expression of glycolysis-related proteins, including glucose transporter 1, hexokinase II, carbonic anhydrase IX, and MCT4. In univariate analysis, MCT4 expression was significantly associated with the survival of patients with PTC and poorly differentiated thyroid carcinoma.15) However, no specific analysis has focused on MCT4 expression in ATCs and other pathological subtypes. Our study has shown that MCT4 is highly expressed in thyroid cancers, especially ATCs, and is associated with thyroid de-differentiation. These results suggested that MCT4 is helpful as a diagnostic and prognostic biomarker for thyroid cancer. Furthermore, MCT4 is a potential therapeutic target for re-differentiation therapy and treatment of patients with ATC.

Acknowledgments

A part of this study was presented as an abstract at a meeting of the Korean Thyroid Association in 2022.

Conflicts of Interest

No potential conflict of interest relevant to this article was reported.

References
  1. Payen VL, Mina E, Van Hee VF, Porporato PE, Sonveaux P. Monocarboxylate transporters in cancer. Mol Metab 2020;33:48-66.
    Pubmed KoreaMed CrossRef
  2. Javaeed A, Ghauri SK. MCT4 has a potential to be used as a prognostic biomarker - a systematic review and meta-analysis. Oncol Rev 2019;13(2):403.
    Pubmed KoreaMed CrossRef
  3. Pérez-Tomás R, Pérez-Guillén I. Lactate in the tumor microenvironment: an essential molecule in cancer progression and treatment. Cancers (Basel) 2020;12(11):3244.
    Pubmed KoreaMed CrossRef
  4. Nakayama Y, Torigoe T, Inoue Y, Minagawa N, Izumi H, Kohno K, et al. Prognostic significance of monocarboxylate transporter 4 expression in patients with colorectal cancer. Exp Ther Med 2012;3(1):25-30.
    Pubmed KoreaMed CrossRef
  5. Curry JM, Tuluc M, Whitaker-Menezes D, Ames JA, Anantharaman A, Butera A, et al. Cancer metabolism, stemness and tumor recurrence: MCT1 and MCT4 are functional biomarkers of metabolic symbiosis in head and neck cancer. Cell Cycle 2013;12(9):1371-84.
    Pubmed KoreaMed CrossRef
  6. Bisetto S, Whitaker-Menezes D, Wilski NA, Tuluc M, Curry J, Zhan T, et al. Monocarboxylate transporter 4 (MCT4) knockout mice have attenuated 4NQO induced carcinogenesis; a role for MCT4 in driving oral squamous cell cancer. Front Oncol 2018;8:324.
    Pubmed KoreaMed CrossRef
  7. Kim Y, Choi JW, Lee JH, Kim YS. Expression of lactate/H(+) symporters MCT1 and MCT4 and their chaperone CD147 predicts tumor progression in clear cell renal cell carcinoma: immunohistochemical and The Cancer Genome Atlas data analyses. Hum Pathol 2015;46(1):104-12.
    Pubmed CrossRef
  8. Izumi H, Takahashi M, Uramoto H, Nakayama Y, Oyama T, Wang KY, et al. Monocarboxylate transporters 1 and 4 are involved in the invasion activity of human lung cancer cells. Cancer Sci 2011;102(5):1007-13.
    Pubmed CrossRef
  9. Gallagher SM, Castorino JJ, Wang D, Philp NJ. Monocarboxylate transporter 4 regulates maturation and trafficking of CD147 to the plasma membrane in the metastatic breast cancer cell line MDA-MB-231. Cancer Res 2007;67(9):4182-9.
    Pubmed CrossRef
  10. Khatami F, Payab M, Sarvari M, Gilany K, Larijani B, Arjmand B, et al. Oncometabolites as biomarkers in thyroid cancer: a systematic review. Cancer Manag Res 2019;11:1829-41.
    Pubmed KoreaMed CrossRef
  11. de la Cruz-López KG, Castro-Munoz LJ, Reyes-Hernandez DO, Garcia-Carranca A, Manzo-Merino J. Lactate in the regulation of tumor microenvironment and therapeutic approaches. Front Oncol 2019;9:1143.
    Pubmed KoreaMed CrossRef
  12. Zhao B, Aggarwal A, Im SY, Viswanathan K, Landa I, Nehs MA. Effect of lactate export inhibition on anaplastic thyroid cancer growth and metabolism. J Am Coll Surg 2022;234(6):1044-50.
    Pubmed CrossRef
  13. Jeon MJ, You MH, Han JM, Sim S, Yoo HJ, Lee WK, et al. High phosphoglycerate dehydrogenase expression induces stemness and aggressiveness in thyroid cancer. Thyroid 2020;30(11):1625-38.
    Pubmed KoreaMed CrossRef
  14. Curry JM, Tassone P, Cotzia P, Sprandio J, Luginbuhl A, Cognetti DM, et al. Multicompartment metabolism in papillary thyroid cancer. Laryngoscope 2016;126(10):2410-8.
    Pubmed KoreaMed CrossRef
  15. Nahm JH, Kim HM, Koo JS. Glycolysis-related protein expression in thyroid cancer. Tumour Biol 2017;39(3):1010428317695922.
    Pubmed CrossRef
  16. Sung TY, Kim M, Kim TY, Kim WG, Park Y, Song DE, et al. Negative expression of CPSF2 predicts a poorer clinical outcome in patients with papillary thyroid carcinoma. Thyroid 2015;25(9):1020-5.
    Pubmed CrossRef
  17. Liberti MV, Locasale JW. The Warburg effect: how does it benefit cancer cells? Trends Biochem Sci 2016;41(3):211-8.
    Pubmed KoreaMed CrossRef
  18. Halestrap AP, Meredith D. The SLC16 gene family-from monocarboxylate transporters (MCTs) to aromatic amino acid transporters and beyond. Pflugers Arch 2004;447(5):619-28.
    Pubmed CrossRef
  19. Dimmer KS, Friedrich B, Lang F, Deitmer JW, Broer S. The low-affinity monocarboxylate transporter MCT4 is adapted to the export of lactate in highly glycolytic cells. Biochem J 2000;350 Pt 1(Pt 1):219-27.
    Pubmed KoreaMed CrossRef
  20. Romero-Garcia S, Moreno-Altamirano MM, Prado-Garcia H, Sanchez-Garcia FJ. Lactate contribution to the tumor microenvironment: mechanisms, effects on immune cells and therapeutic relevance. Front Immunol 2016;7:52.
    Pubmed KoreaMed CrossRef
  21. Wen SS, Zhang TT, Xue DX, Wu WL, Wang YL, Wang Y, et al. Metabolic reprogramming and its clinical application in thyroid cancer. Oncol Lett 2019;18(2):1579-84.
    Pubmed KoreaMed CrossRef