Evidence map›Paper›PMID 19421717›Full record

ArticleMolecular and cellular biochemistry2009

Overexpression of STAT3 in HPV-mediated cervical cancer in a north Indian population.

R C Sobti, Neha Singh, Showket Hussain, Vanita Suri, A C Bharti, B C Das

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Article in Molecular and cellular biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

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0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  7. Standardized Uptake Value forClinical cancer research : an official journal of the American Association for Cancer Research · 2021
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  13. C14ORF166 overexpression is associated with pelvic lymph node metastasis and poor prognosis in uterine cervical cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  14. Article
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  16. Article
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  20. Embryonic stem cell-specific signature in cervical cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

R C SobtiDepartment of Biotechnology, Panjab University, Chandigarh, 160014, India. rcsobti@pu.ac.in
Neha Singh
Showket Hussain
Vanita Suri
A C Bharti
B C Das

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The constitutively activated STAT family members, particularly STAT3, have been shown to possess transforming properties, and are strongly correlated with tumor development and progression. STAT3 transmits signals from many cytokines and growth factors to target genes in the nucleus through the Jak/Stat signaling pathway. HPV is the main etiological factor in the development of cervical cancer. In the current study, the expression of STAT3 was analyzed in various stages of HPV-mediated cervical carcinogenesis. Tissue biopsies from 100 patients with cervical cancer of different stages and normal tissues from patients undergoing hysterectomy were selected for studying the HPV status and STAT3 expression. HPV status of each corresponding biopsy was analyzed by PCR and typing. The mRNA expression was analyzed by reverse-transcriptase polymerase chain reaction (RT-PCR). HPV infection was detected in majority of cases: 75% (9/12) in precancer, 85% (34/40) stage I & II, and 95% (36/38) in stage III & IV of cervical cancer cases by L1 PCR. Further sub typing revealed HPV16 in 100% (9/9) of L1 positives in precancerous & 90% (63/70) in different stages of cancer. Significant level of STAT3 mRNA expression was predominantly found in cervical cancer cases as compared to normal controls (P = 0.001). We also found a significant correlation of STAT3 expression in cases infected with HPV (P = 0.001). Our results indicate a potentially interactive effect between HPV 16/18 and transcriptional activation of STAT3 gene in cervical carcinogenesis. To our knowledge, this is the first such study to be reported from India. Further investigations are needed to determine the influence of STAT3 expression on cervical carcinogenesis and its possible interaction with HPV infection status.

Indexed as

Gene Expression Regulation, NeoplasticCase-Control StudiesFemaleHuman papillomavirus 16Human papillomavirus 18HumansIndiaNeoplasm StagingPapillomaviridaePapillomavirus InfectionsRNA, MessengerSTAT3 Transcription FactorTranscriptional ActivationUterine Cervical NeoplasmsRNA, MessengerSTAT3 Transcription Factor

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.