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Comparative evaluation of BMI-1 proto-oncogene expression in normal tissue, adenoma and papillary carcinoma of human thyroid in pathology samples
BMC Research Notes volume 14, Article number: 369 (2021)
Papillary Thyroid carcinoma accounts for more than 60% of adult thyroid carcinomas. Finding a helpful marker is vital to determine the correct treatment approach. The present study was aimed to evaluate the expression of the B cell-specific Moloney murine leukemia virus integration site 1 (BMI-1) gene in papillary carcinoma, adenoma, and adjacent healthy thyroid tissues. Pathology blocks of thyroid tissues at the pathology department of patients who have undergone thyroid surgery between 2015 and 2019 were examined; papillary carcinoma, adenoma, and healthy tissues were selected and sectioned. Total RNA was extracted, and the relative expression level of the BMI-1 gene was examined using the Real-Time qPCR method.
In the papillary and adenoma tissues, BMI-1 was overexpressed (1.047-fold and 1.042-fold) in comparison to healthy tissues (p < 0.05 for both comparisons). However, no statistically significant differences were observed between adenoma and papillary carcinoma tissues regarding BMI-1 gene expression. This study demonstrated a new biomarker for thyroid malignancies and found that the mRNA levels of the BMI-1 gene were higher in tumor tissues compared with healthy tissues. Further studies are needed to evaluate the BMI1 gene expression in other thyroid cancers.
Although thyroid cancers represent only 1% of total diagnosed tumors annually, it is still the most common endocrine glands’ malignancy . According to recent reports, thyroid cancers account for 2.3% of new cancer cases in Iran . WHO studies have revealed that thyroid cancers are far more common among women (230,000 new cases annually) compared with men (70,000 new cases annually) ; moreover, thyroid cancers are the 7th commonly diagnosed malignancy in women and the 14th commonly diagnosed malignancy in men among Iranians [4, 5].
Thyroid cancers’ etiology has been investigated in numerous studies. Some contributing factors to thyroid cancer include exposure to ionizing radiation, goiter and benign nodules/adenomas, lifestyle (smoking and dietary habitats), and exposure to toxic chemicals [6, 7]. Thyroid carcinomas are classified into four main categories: Papillary, Follicular, Medullary, and Anaplastic carcinomas. The first two types of thyroid cancer account for more than 90% of the cases and have a higher treatment rate . Although disease-related mortality of papillary thyroid carcinoma occurs mainly in patients in stage IV of papillary thyroid carcinoma, these patients represent a minority of patients .
Early diagnosis and treatment of thyroid tumors may prevent the involvement of the cervical lymph nodes [10, 11]. It has been reported that neck lymph nodes are involved in 46% of papillary thyroid carcinomas at initial diagnosis, though the proper treatment leads to long-time survival . Even though advanced laboratory diagnosis of cancers has improved the technological ability for earlier diagnosis of silent thyroid tumors, the need for predictive markers is critical for selecting individuals with increased risk of thyroid carcinomas .
Recent studies have reported that B cell-specific Moloney murine leukemia virus integration site 1 (BMI-1), a transcription factor involved in regulating cell cycle and apoptosis, is upregulated in various cancers and related to poor prognosis [14, 15]. Interaction of p16 (a tumor suppressor encoded by the INK4a/Arf locus) and BMI-1 contribute stem cell-like features to cancerous cells and alter the biological behavior of tumors . In addition, down-regulation of BMI-1 in breast cancer cells inhibited cellular invasion and proliferation . Several studies have suggested the overexpression of the BMI-1 gene as a predictive marker of cancer initiation [18, 19]. Moreover, upregulation of BMI-1 has been linked to tumor relapse, metastasis, and resistance to therapy in multiple human cancers .
Consequently, the present study is aimed to investigate the level of expression of the BMI-1 gene in human adenoma, papillary thyroid carcinomas, and their healthy adjacent tissue samples. The present study is the first report of the expression of BMI-1 in thyroid cancerous and healthy adjacent tissues to the best of our knowledge.
Materials and methods
Tissue sample preparation and ethical statements
Paraffin blocks of thyroid specimens surgically excised from 21 patients from 2015 to 2019 and achieved at the pathology department of Seied-o-Alshohada Hospital were used in the present study. Written informed consents were obtained from all patients before surgical procedures. Three specimen blocks were prepared for each patient, including papillary carcinoma, adenoma, and adjacent healthy tissues; the specimens were recovered, and 10 μM sections were prepared after slide microscopy observations and confirmation of thyroid papillary carcinoma diagnosis.
Inclusion and exclusion criteria
Collections of the archived paraffin blocks of surgical resection specimens of the pathology department of Seied-o-Alshohada hospital from 2015 to 2019 were examined in this study. Twenty-one cases met the inclusion criteria of this study; patients who were not simultaneously diagnosed with PTC and thyroid adenoma were excluded from the investigation. The clinicopathological characteristics of the patients are summarized in Table 1.
RNA extraction and cDNA synthesis
RNA extraction from biopsy sections was performed using the RNeasy FFPE kit (Qiagen, Germany). The quality and quantity of extracted RNAs were verified using NanoDrop 2000, and cDNA synthesis was carried out using 1 μg of DNAase-treated total RNA samples by QuantiTect Reverse Transcription kit (Qiagen).
Real-time q-PCR was conducted in triplicate, using QuantiFast SYBR Green PCR Kit (Qiagen) on StepOne Plus real-time qPCR System (Applied Biosystems, USA) following the recommended protocol of the manufacturer. The GAPDH (Glyceraldehyde-3-Phosphate Dehydrogenase) gene was selected as the reference gene, and the following primers were used to determine the expression of BMI-1: F: 5ʹ-ATACTTCTCTGTTGCTACG-3ʹ and R: 5ʹ-TGCCATCTGATTCTTACAA-3ʹ. Relative gene expression levels were evaluated by the comparative ΔΔCT method as described previously . The GAPDH Forward primer, GAAGGTGAAGGTCGGAGTC, and GAPDH Reverse primer, GAAGATGGTGATGGGATTTC, were used based on Yazdani et al. studies .
Data analysis was done using Graphpad Prism V 8.1 for windows. One-way analysis of variance (ANOVA) was used to investigate the significance of the difference in BMI-1 expression levels between thyroid papillary carcinoma, adenoma, and adjacent healthy tissues followed by post-hoc Dunnett’s test. Furthermore, a two-tailed paired t-test was used to evaluate the difference in BMI-1 gene expression between adenoma and papillary carcinoma tissues. p values below 0.05 were considered significant.
RNA extraction and cDNA synthesis
In this retrospective cross-sectional study, we sought to determine the expression level of the BMI-1 gene in adenoma, papillary carcinoma, and adjacent healthy tissues. Total RNA was extracted from sectioned blocks using the RNeasy FFPE Kit, and NanoDrop and agarose gel electrophoresis examined the quality and quantity of extracted RNAs.
Real-time qPCR and statistical analysis
The expression level of the BMI-1 gene in sectioned tissues was assessed using SYBR green real-time PCR assay. The results indicated that the BMI-1 gene is slightly overexpressed in both types of tissues compared to their adjacent healthy tissues (Fig. 1).
Results of the Dunnett test revealed that the BMI-1 gene was overexpressed in adenoma tissues by 1.042-fold (CI − 0.08533 to − 0.0003886, p = 0.04) and in papillary carcinoma tissues by 1.047-fold (CI − 0.09009 to − 0.005150, p: 0.02) compared with the adjacent healthy tissues.
Moreover, the results of the t-test indicated no significant difference between adenoma and papillary carcinoma in terms of the BMI-1 gene expression level (p = 0.83).
Although conventional techniques for diagnosing thyroid carcinomas such as histological methods and FNA are considered gold standards, challenges in the differentiation of benign and malignant thyroid nodules remain unsolved [23,24,25]. Most thyroid carcinomas (differentiated papillary and follicular thyroid carcinomas) may have a promising prognosis and be treatable in case of timely diagnosis . The early stratification of patients with poor prognoses would aid in selecting the most effective and appropriate therapeutic strategy [27, 28]. The lack of globally trusted biomarkers to determine aggressive types of thyroid cancer poses a significant challenge in managing and predicting patients with or at higher risk of thyroid cancer death .
In the present study, paraffin-embedded blocks of thyroid tissue specimens were evaluated from patients who underwent thyroid surgery from 2015 to 2019. Papillary carcinoma, adenoma, and a small part of adjacent healthy tissues were sectioned, and the expression level of BMI-1 mRNA was measured in each tissue type. Comparison of BMI-1 mRNA level in papillary carcinoma or adenoma tissues to adjacent healthy tissues revealed that BMI-1 was slightly overexpressed in both tissues (p < 0.05 for both comparisons).
Several studies have documented that BMI-1 overexpression is inversely correlated to the expression of tumor suppressor genes such as PTEN and p16 . Gisler et al.  have shown that upregulation of BMI-1 significantly induces cancer cells proliferation. Furthermore, it has been shown that elevated BMI-1 mRNA level contributes to anti-cancer drugs resistance. Ojo et al.  reported that in breast cancer cell lines, BMI-1 was upregulated, and knockdown of this gene sensitizes breast cancer cells to Tamoxifen, a widely used anti-cancer drug.
Some other studies reported the association between upregulation of BMI-1 and the increment of differentiation but not proliferation. Dibenedetto et al.  reported that overexpression of BMI-1 mRNA in myoblast cells correlates with elevation of mitochondrial activity and increases the energetic level of cells.
In summary, the results of this study have shown that the BMI-1 gene was upregulated in thyroid papillary carcinoma and adenoma tissues compared to adjacent healthy tissue. Although further studies are required to demonstrate the best thyroid cancer biomarker, these findings implicated that BMI-1 can be among candidates.
The main limitation of the study is the samples preparation. The blocks were found with adjacent normal tissues, and the patients’ consent to participate in the study.Also, BMI-1 proto-oncogene protein expression evaluation as gene transcripts are not provided to reflect the tissue protein expression due to the post-translational modifications and variable stability of the related mRNA.
Availability of data and materials
Please contact corresponding author (A.E.) for data requests.
- BMI-1 :
B cell-specific Moloney murine leukemia virus integration site 1
Fine needle aspiration
- GAPDH :
Papillary thyroid carcinoma
- PTEN :
Phosphatase and tensin homolog
Ernani V, Kumar M, Chen AY, Owonikoko TK. Systemic treatment and management approaches for medullary thyroid cancer. Cancer Treat Rev. 2016;50:89–98.
Farhood B, Raei B, Ameri H, Shirvani M, Alizadeh A, Najafi M, Mortezazadeh T. A review of incidence and mortality of colorectal, lung, liver, thyroid, and bladder cancers in Iran and compared to other countries. Contemp Oncol. 2019;23(1):7.
La Vecchia C, Malvezzi M, Bosetti C, Garavello W, Bertuccio P, Levi F, Negri E. Thyroid cancer mortality and incidence: a global overview. Int J Cancer. 2015;136(9):2187–95.
Safavi A, Azizi F, Jafari R, Chaibakhsh S, Safavi AA. Thyroid cancer epidemiology in Iran: a time trend study. Asian Pac J Cancer Prev. 2016;17(1):407–12.
Sadeghi H, Rafei M, Bahrami M, Haghdoost A, Shabani Y. Attributable risk fraction of four lifestyle risk factors of thyroid cancer: a meta-analysis. J Public Health. 2018;40(2):e91–8.
Ardakani HAV, Moghimi M, Shayestehpour M, Doosti M, Sharifabadi SB. Survival of patients with thyroid cancer in Yazd, Iran. Asian Pac J Cancer Prev APJCP. 2017;18(8):2293.
Shariati A, Moradabadi A, Chegini Z, Khoshbayan A, Didehdar M. An overview of the management of the most important invasive fungal infections in patients with blood malignancies. Infect Drug Resist. 2020;13:2329.
Tappenden P, Carroll C, Hamilton J, Kaltenthaler E, Wong R, Wadsley J, Moss L, Balasubramanian S. Cabozantinib and vandetanib for unresectable locally advanced or metastatic medullary thyroid cancer: a systematic review and economic model. Health Technol Assess. 2019;23(8):1–144.
Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, Pacini F, Randolph GW, Sawka AM, Schlumberger M. 2015 American Thyroid Association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: the American Thyroid Association guidelines task force on thyroid nodules and differentiated thyroid cancer. Thyroid. 2016;26(1):1–133.
Khadra H, Mohamed H, Al-Qurayshi Z, Sholl A, Killackey M, Kandil E. Superior detection of metastatic cystic lymphadenopathy in patients with papillary thyroid cancer by utilization of thyroglobulin washout. Head Neck. 2019;41(1):225–9.
Moradabadi A, Farsinejad A, Khansarinejad B, Fatemi A. Development of a high resolution melting analysis assay for rapid identification of JAK2 V617F missense mutation and its validation. Exp Hematol Oncol. 2019;8:10.
Moon JH, Kim YI, Lim JA, Choi HS, Cho SW, Kim KW, Park HJ, Paeng JC, Park YJ, Yi KH. Thyroglobulin in washout fluid from lymph node fine-needle aspiration biopsy in papillary thyroid cancer: large-scale validation of the cutoff value to determine malignancy and evaluation of discrepant results. J Clin Endocrinol Metab. 2013;98(3):1061–8.
McLeod DS, Zhang L, Durante C, Cooper DS. Contemporary debates in adult papillary thyroid cancer management. Endocr Rev. 2019;40(6):1481–99.
Afshari M, Janbabaei G, Bahrami MA, Moosazadeh M. Opium and bladder cancer: A systematic review and meta-analysis of the odds ratios for opium use and the risk of bladder cancer. PLoS ONE. 2017;12(6):e0178527.
Mousavi Z, Yazdani Z, Moradabadi A, Hoseinpourkasgari F, Hassanshahi G. Role of some members of chemokine/cytokine network in the pathogenesis of thalassemia and sickle cell hemoglobinopathies: a mini review. Exp Hematol Oncol. 2019;8(1):1–6.
dos Santos HT, do Nascimento JDS, Meireles F, Scarini JF, Egal ES, Montalli VA, Fonseca FP, Mariano FV, Altemani A. Evaluation of the expression of Bmi-1 stem cell marker in sinonasal melanomas and its correlation with the expression of cell cycle proteins. Surg Exp Pathol. 2019;2(1):9.
Patel N, Garikapati KR, Ramaiah MJ, Polavarapu KK, Bhadra U, Bhadra MP. miR-15a/miR-16 induces mitochondrial dependent apoptosis in breast cancer cells by suppressing oncogene BMI1. Life Sci. 2016;164:60–70.
Khairy RA, Salah M, Khalifa SE. Expression of stem cell marker Bmi1 in invasive breast cancer and correlation with estrogen receptor, progesterone receptor, HER2/neu, and ki67. Kasr Al Ainy Med J. 2016;22(3):109.
Fekri-SoofiAbadi M, Fekri M, Vahidi R, Shamsi-Meymandi S, Dabiri D, Dabiri S. Ability of real-time PCR for differential diagnosis of various forms of cutaneous leishmaniasis: a comparative study with histopathology. BMC Res Notes. 2019;12(1):1–5.
Hoenerhoff MJ, Chu I, Barkan D, Liu Z, Datta S, Dimri GP, Green JE. BMI1 cooperates with H-RAS to induce an aggressive breast cancer phenotype with brain metastases. Oncogene. 2009;28(34):3022–32.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods. 2001;25(4):402–8.
Yazdani Z, Mousavi Z, Moradabadi A, Hassanshahi G. Significance of CXCL12/CXCR4 ligand/receptor axis in various aspects of acute myeloid leukemia. Cancer Manag Res. 2020;12:2155.
Arcolia V, Journe F, Wattier A, Leteurtre E, Renaud F, Gabius H-J, Remmelink M, Decaestecker C, Rodriguez A, Boutry S. Galectin-1 is a diagnostic marker involved in thyroid cancer progression. Int J Oncol. 2017;51(3):760–70.
Kargaran M, et al. Effects of the aqueous extract of aloe vera on the morphological and physiological properties of E. coli. 2017;19(2).
Fekrisoofiabadi M, Fekri M, Moradabadi A, Vahidi R, Khaleghi M, Ram M, Dabiri S. Evaluation of MDR1 and MRPA genes expression in different types of dry cutaneous leishmaniasis. BMC Res Notes. 2019;12(1):1–4.
Chowdhury S, Veyhl J, Jessa F, Polyakova O, Alenzi A, MacMillan C, Ralhan R, Walfish PG. Programmed death-ligand 1 overexpression is a prognostic marker for aggressive papillary thyroid cancer and its variants. Oncotarget. 2016;7(22):32318.
Yuan Y, Van Allen EM, Omberg L, Wagle N, Amin-Mansour A, Sokolov A, Byers LA, Xu Y, Hess KR, Diao L. Assessing the clinical utility of cancer genomic and proteomic data across tumor types. Nat Biotechnol. 2014;32(7):644.
Moradabadi A, Fatemi A, Noroozi-Aghideh A. Analysis of the reannealing-instead of melting-curve in the detection of JAK2 V617F mutation by HRM method. J Blood Med. 2019;10:235.
Rajabi S, Dehghan MH, Dastmalchi R, Mashayekhi FJ, Salami S, Hedayati M. The roles and role-players in thyroid cancer angiogenesis. Endocr J. 2019;66(4):277–93.
Yokoyama Y, Arai MA, Hara Y, Ishibashi M. Identification of BMI1 promoter inhibitors from Streptomyces sp. IFM-11958. Bioorg Med Chem. 2019;27(13):2998–3003.
Gisler S, Maia ARR, Chandrasekaran G, Kopparam J, van Lohuizen M. A genome-wide enrichment screen identifies NUMA1-loss as a resistance mechanism against mitotic cell-death induced by BMI1 inhibition. PLoS ONE. 2020;15(4):e0227592.
Ojo D, Lin X, Wu Y, Cockburn J, Bane A, Tang D. Polycomb complex protein BMI1 confers resistance to tamoxifen in estrogen receptor positive breast cancer. Cancer Lett. 2018;426:4–13.
Dibenedetto S, Niklison-Chirou M, Cabrera CP, Ellis M, Robson LG, Knopp P, Tedesco FS, Ragazzi M, Di Foggia V, Barnes MR. Enhanced energetic state and protection from oxidative stress in human myoblasts overexpressing BMI1. Stem Cell Rep. 2017;9(2):528–42.
The present manuscript was extracted from specialty thesis of Mohadese Hajian and was funded by the school of medicine of Isfahan university of medical science.
No funding sources used in this study.
Ethics approval and consent to participate
The experiment was approved by the Human Ethics Research Committee of Isfahan medical university under reference number IR.MUI.MED.REC.1398.05. All patients approve weitten informed consent and contribute to the study.
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The authors declare no conflict of interest.
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Hajian, M., Esmaeili, A. & Talebi, A. Comparative evaluation of BMI-1 proto-oncogene expression in normal tissue, adenoma and papillary carcinoma of human thyroid in pathology samples. BMC Res Notes 14, 369 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s13104-021-05771-w
- BMI-1 gene
- Papillary carcinoma
- Real-time PCR