Abstract
In this study, we aimed to understand the interplay of the epigenetic modifier genes DNMT1 and TET1 along with HPV infection in the cervical epithelium and how it changes during tumorigenesis. For this purpose, initially the bioinformatical analysis (methylation and expression profile) of DNMT1 and TET1 was analyzed in the TCGA dataset. Next genetic (deletion) and epigenetic profiling (promoter methylation) of DNMT1 and TET1 were done in our sample pool and also validated in CACX cell lines as well. The results were further correlated with different clinicopathological parameters. Our data revealed that HPV infection in basal/parabasal layers of cervical epithelium actually disrupts the epigenetic homeostasis of DNMT1 and TET1 proteins which ultimately leads to the high expression of DNMT1 along with further reduction in TET1 protein during the development of carcinoma. Further, in-depth look into the results revealed that comparatively low methylation frequency of DNMT1 coupled with high promoter methylation and deletion frequency [22–46%] of TET1 were the plausible reasons of their antagonistic expression profile during the progression of the disease. Interestingly, the prevalence of DNMT1 [9.1%] and TET1 promoter methylation [22.7%] found in both the plasma DNA of the respective CACX patients implicated its diagnostic importance in this study. Lastly, molecular alteration of TET1 alone or in combination with DNMT1 showed the worst overall survival among the patients. Hence, it may be concluded that an inverse molecular profile of DNMT1 and TET1 genes seen in the proliferative basal-parabasal layers of the cervical epithelium was aggravated during the development of CACX along with genetic and epigenetic changes due to HPV infection.
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Abbreviations
- HPV:
-
Human papilloma virus
- CIN:
-
Cervical intraepithelial neoplasia
- CACX:
-
Cervical carcinoma
- DNMT1:
-
DNA methyl transferase 1
- TET1:
-
Ten eleven translocase 1
- mRNA:
-
Messenger RNA
- qRT-PCR:
-
Quantitative real time PCR
- 5-aza-Dc:
-
5-Aza-2’-deoxycytidine
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Acknowledgements
The authors thank the Director, Chittaranjan National Cancer Institute [CNCI], Kolkata, India for kind interest in the work. We would like to thank Mr. Balarko Chakraborty for his language editing help and valuable suggestions. We also thanks health professionals and pathology department for collection of specimens. Finally, authors specially thank all the 159 patients who participated in the study.
Funding
The financial support for this work DST-INSPIRE Fellowship grant Sanction order. No. IF170005/2017, EU-V dated 17.07.2017) to was provided by Mrs. P. Dutta, University Grants Commission-National Eligibility Test 46 Fellowship grant [Sr. No. 2061430780, Ref No.: 22/06/2014(i)EU-V to M. Basu and to NASI Senior Scientist Platinum Jubilee Fellowship (2020) awarded to Dr. C.K. Panda. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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This work was conceptualized and manuscript was drafted by PD and CKP. PD performed the experiments in primary tumour and CACX cell lines while MB and RKM helped in interpreting the results and did the statistical analysis. RKM provided the tumour samples. AR was helpful in providing the pathological guidance and other resources.
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FIGURE S1
: Pictorial representation of Laser Capture Microdissection procedure and downstream process in Hematoxylin- eosin-stained cervical epithelium (red line indicates the laser line separating the basal-parabasal layer from spinous layer of cervical epithelium tissue) (TIF 478 kb)
FIGURE S2
: Detection HPV in cervical tissue samples A. Representative image of HPV screening by MY09-MY11 primers in cervical tissue samples, (+ve control used as HPV 16 plasmid, -ve control used as distilled water) B. Representative image of HPV 16 prevalence in cervical tissue samples (+ve control used as HPV 16 plasmid, -ve control used as distilled water) C. Representative image of HPV 18 prevalence in cervical tissue samples (+ve control used as HPV 18 plasmid, -ve control used as distilled water). D. % of HPV prevalence in C.E (cervical epithelium), CIN and CACX samples. (TIF 587 kb)
10735_2023_10114_MOESM3_ESM.tif
FIGURE S3: Promoter Methylation analysis of DNMT1 and TET1 after treatment with different concentrations of 5-aza-dC doses (5 uM, 10 uM and 20 uM) in CACX cell lines (SiHa and HeLa); 1-2 (a,b); Representative images showing methylation status of DNMT1 & TET1, (K1 and K2- controls for DNA digestion and integrity respectively), (M=100 bp ladder, U.D=undigested DNA, D= Hpa II digested DNA) 3,4; Histogram representing quantitative methylation frequencies of DNMT1 and TET1 observed in CACX cell lines (* = significant p value < 0.05). (TIF 380 kb)
TABLE S1:
Flow chart of sample utilization. TABLE S2: Details of primers used for experiments. TABLE S3: Immuno-histochemical analysis of DNMT1, TET1 and HPV oncoprotein E7 in cervical epithelium and primary cervical lesions.TABLE S4: A: Co-relation of Expression of DNMT1 in basal-parabasal layer of HPV-ve cervical epithelium. B: Study of Co-relation between mRNA expression and protein expression of DNMT1, TET1 and E7 oncoprotein C: Co-relation of expression of E7 with DNMT1, TET1 in primary cervical lesions. D. Study of Co-relation between expression and methylation of DNMT1, TET1 in CACX samples. TABLE S5: Study of Co-relation between promoter methylation of DNMT1, TET1 between tissue DNA and plasma DNA of primary cervical lesions.TABLE S6: A: Study of Co-relation between overall alteration and protein expression of DNMT1 and TET1 in primary cervical lesions. B: Study of Co-relation between Overall Alteration of DNMT1, TET1 and E7 expression of primary cervical lesions. (DOCX 49 kb)
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Dutta, P., Basu, M., Roy, A. et al. High nuclear expression of DNMT1 in correlation with inactivation of TET1 portray worst prognosis among the cervical carcinoma patients: clinical implications. J Mol Histol 54, 89–102 (2023). https://doi.org/10.1007/s10735-023-10114-z
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DOI: https://doi.org/10.1007/s10735-023-10114-z