Evidence map›Paper›PMID 24927339›Full record

ArticleThe Indian journal of medical research2014

Physical state & copy number of high risk human papillomavirus type 16 DNA in progression of cervical cancer.

Shirish Shukla, Sutapa Mahata, Gauri Shishodia, Shailja Pande, Gaurav Verma, Suresh Hedau, Suresh Bhambhani, Archana Kumari, Swaraj Batra, Seemi F Basir and 2 more

Open access · greenAbstract read
In one paragraph

Article in The Indian journal of medical research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Shirish Shukla
Sutapa Mahata
Gauri Shishodia
Shailja Pande
Gaurav Verma
Suresh Hedau
Suresh Bhambhani
Archana Kumari
Swaraj Batra
Seemi F Basir
Bhudev C Das
Alok C BhartiDivision of Molecular Oncology, Institute of Cytology & Preventive Oncology (ICMR), Noida, India.
Institute of Cytology and Preventive Oncology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesHigh-risk human papilloma virus (HR-HPV) infection and its integration in host genome is a key event in malignant transformation of cervical cells. HPV16 being a dominant HR-HPV type, we undertook this study to analyze if viral load and physical state of the virus correlated with each other in the absence of other confounding variables and examined their potential as predictors of progressive cervical lesions.

methodsBoth, viral load and integration status of HPV16 were determined by real time URR PCR and estimation of E2:E6 ratio in a total of 130 PGMY-RLB -confirmed, monotypic HPV16-infected cervical DNA samples from biopsies of cytology-confirmed low grade (LSIL, 30) and high grade (HSIL, 30), and invasive carcinoma, (squamous cell carcinoma SCC, 70) cases.

resultsInvestigation of DNA samples revealed a gradual increase in HPV16 viral load over several magnitudes and increased frequency of integration from LSIL to HSIL and HSIL to invasive cancer in relation to the severity of lesions in monotypic HPV16-infected cervical tissues. In a substantial number of precancer (11/60) and cancer cases (29/70), HPV16 was detected in concomitant mixed form. The concomitant form of HPV16 genome carried significantly higher viral load. INTERPRETATION &

conclusionsOverall, viral load and integration increased with disease severity and could be useful biomarkers in disease progression, at least, in HPV16-infected cervical pre-cancer and cancer lesions.

Indexed as

BiomarkersCarcinoma, Squamous CellDNA Copy Number VariationsFemaleHuman papillomavirus 16HumansReal-Time Polymerase Chain ReactionUterine Cervical NeoplasmsViral LoadVirus IntegrationBiomarkers

Identifiers

PMID24927339
PMCPMC4078491
OpenAlexW1640570245

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.