TY - JOUR
T1 - Analysis of Nuclear Encoded Mitochondrial Gene Networks in Cervical Cancer
AU - Meneur, Cecile
AU - Eswaran, Sangavi
AU - Adiga, Divya
AU - Sriharikrishnaa, S.
AU - Nadeem, Khan G.
AU - Mallya, Sandeep
AU - Chakrabarty, Sanjiban
AU - Kabekkodu, Shama Prasada
N1 - Funding Information:
This work is supported by Department of Biotechnology, Government of India under pilot project on cancer (Sanction number: 6242-P8/RGCB/PMD/DBT/ SPDK/2015).
Funding Information:
We thank Department of Science and Technology (DST), Government of India (Grant No: EMR/2016/002314), Science and Engineering Research Board (SERB), DST-Ph.D. fellowship, KSTePS, DST, Government of Karnataka (Reference ID-DST/KSTePS/ Ph.D. Fellowship/LIF-11: 2019-20), ICMR-Senior Research fellowship, Government of India (Reference ID-2019/4115/CMB/BMS and 2020/8704/CMB/BMS), Directorate of Minorities Fellowship, Government of Karnataka (DOM/FELLOWSHIP/CR-10/2019-20), and Dr. TMA Pai Structured PhD fellowship, MAHE, for financial support. We acknowledge Manipal Academy of Higher Education (MAHE) for infrastructure support.
Funding Information:
We thank Department of Science and Technology (DST), Government of India (Grant No: EMR/2016/002314), Science and Engineering Research Board (SERB), DST-Ph.D. fellowship, KSTePS, DST, Government of Karnataka (Reference ID- DST/KSTePS/ Ph.D. Fellowship/LIF-11: 2019-20), ICMR-Senior Research fellowship, Government of India (Reference ID- 2019/4115/CMB/BMS and 2020/8704/CMB/BMS), Directorate of Minorities Fellowship, Government of Karnataka (DOM/FELLOWSHIP/CR-10/2019-20), and Dr. TMA Pai Structured PhD fellowship, MAHE, for financial support. We acknowledge Manipal Academy of Higher Education (MAHE) for infrastructure support.
Publisher Copyright:
© 2021. All Rights Reserved.
PY - 2021/6
Y1 - 2021/6
N2 - Background: Cervical cancer (CC) is one of the most common female cancers in many developing and underdeveloped countries. High incidence, late presentation, and mortality suggested the need for molecular markers. Mitochondrial defects due to abnormal expression of nuclear-encoded mitochondrial genes (NEMG) have been reported during cancer progression. Nevertheless, the application of NEMG for the prognosis of CC is still elusive. Herein, we aimed to investigate the associations between NEMG and CC prognosis. Materials and Methods: The differentially expressed genes (DEG) in the TCGA-CESC dataset and NEMGs were retrieved from TACCO and Mitocarta2.0 databases, respectively. The impact of methylation on NEMG expression were predicted using DNMIVD and UALCAN tools. HCMDB tool was used to predict genes having metastatic potential. The prognostic models were constructed using DNMIVD, TACCO, GEPIA2, and SurvExpress. The functional enrichment analysis (FEA) was performed using clusterProfiler. The protein-protein interaction network (PPIN) was constructed to identify the hub genes (HG) using String and CytoHubba tools. Independent validation of the HG was performed using Oncomine and Human Protein Atlas databases. The druggable genes were predicted using DGIdb. Results: Among the 52 differentially expressed NEMG, 15 were regulated by DNA methylation. The expression level of 16, 10, and 7 has the potential for CC staging, prediction of metastasis, and prognosis. Moreover, 1 driver gene and 16 druggable genes were also identified. The FEA identified the enrichment of cancer-related pathways, including AMPK and carbon metabolism in cancer. The combined expression of 10 HG has been shown to affect patient survival. Conclusion: Our findings suggest that the abnormal expression of NEMGs may play a critical role in CC development and progression. The genes identified in our study may serve as a prognostic indicator and therapeutic target in CC.
AB - Background: Cervical cancer (CC) is one of the most common female cancers in many developing and underdeveloped countries. High incidence, late presentation, and mortality suggested the need for molecular markers. Mitochondrial defects due to abnormal expression of nuclear-encoded mitochondrial genes (NEMG) have been reported during cancer progression. Nevertheless, the application of NEMG for the prognosis of CC is still elusive. Herein, we aimed to investigate the associations between NEMG and CC prognosis. Materials and Methods: The differentially expressed genes (DEG) in the TCGA-CESC dataset and NEMGs were retrieved from TACCO and Mitocarta2.0 databases, respectively. The impact of methylation on NEMG expression were predicted using DNMIVD and UALCAN tools. HCMDB tool was used to predict genes having metastatic potential. The prognostic models were constructed using DNMIVD, TACCO, GEPIA2, and SurvExpress. The functional enrichment analysis (FEA) was performed using clusterProfiler. The protein-protein interaction network (PPIN) was constructed to identify the hub genes (HG) using String and CytoHubba tools. Independent validation of the HG was performed using Oncomine and Human Protein Atlas databases. The druggable genes were predicted using DGIdb. Results: Among the 52 differentially expressed NEMG, 15 were regulated by DNA methylation. The expression level of 16, 10, and 7 has the potential for CC staging, prediction of metastasis, and prognosis. Moreover, 1 driver gene and 16 druggable genes were also identified. The FEA identified the enrichment of cancer-related pathways, including AMPK and carbon metabolism in cancer. The combined expression of 10 HG has been shown to affect patient survival. Conclusion: Our findings suggest that the abnormal expression of NEMGs may play a critical role in CC development and progression. The genes identified in our study may serve as a prognostic indicator and therapeutic target in CC.
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U2 - 10.31557/APJCP.2021.22.6.1799
DO - 10.31557/APJCP.2021.22.6.1799
M3 - Article
AN - SCOPUS:85109177336
SN - 1513-7368
VL - 22
SP - 1799
EP - 1811
JO - Asian Pacific Journal of Cancer Prevention
JF - Asian Pacific Journal of Cancer Prevention
IS - 6
ER -