Evidence map›Paper›PMID 24403257›Full record

ArticleCancer medicine2013

Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease.

Asha Thomas, Umesh Mahantshetty, Sadhana Kannan, Kedar Deodhar, Shyam K Shrivastava, Chandan Kumar-Sinha, Rita Mulherkar

Abstract read
In one paragraph

Article in Cancer medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. The Multifaceted Roles of RCC1 in Tumorigenesis.Frontiers in molecular biosciences · 2020
    Review
  16. Article
  17. Key Molecular Events in Cervical Cancer Development.Medicina (Kaunas, Lithuania) · 2019
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Asha ThomasAdvanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Umesh Mahantshetty
Sadhana Kannan
Kedar Deodhar
Shyam K Shrivastava
Chandan Kumar-Sinha
Rita Mulherkar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the second most common cancer among women worldwide, with developing countries accounting for >80% of the disease burden. Although in the West, active screening has been instrumental in reducing the incidence of cervical cancer, disease management is hampered due to lack of biomarkers for disease progression and defined therapeutic targets. Here we carried out gene expression profiling of 29 cervical cancer tissues from Indian women, spanning International Federation of Gynaecology and Obstetrics (FIGO) stages of the disease from early lesion (IA and IIA) to progressive stages (IIB and IIIA-B), and identified distinct gene expression signatures. Overall, metabolic pathways, pathways in cancer and signaling pathways were found to be significantly upregulated, while focal adhesion, cytokine-cytokine receptor interaction and WNT signaling were downregulated. Additionally, we identified candidate biomarkers of disease progression such as SPP1, proliferating cell nuclear antigen (PCNA), STK17A, and DUSP1 among others that were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in the samples used for microarray studies as well in an independent set of 34 additional samples. Integrative analysis of our results with other cervical cancer profiling studies could facilitate the development of multiplex diagnostic markers of cervical cancer progression.

Indexed as

Biomarkers, TumorDisease ProgressionFemaleGene Expression ProfilingHumansIndiaNeoplasm StagingOligonucleotide Array Sequence AnalysisRNA, MessengerUterine Cervical NeoplasmsBiomarkers, TumorRNA, MessengerBiomarkercervical cancerexpression profilingmicroarrayreal-time PCR

Identifiers

PMID24403257
PMCPMC3892388

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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.