Evidence map›Paper›PMID 19832977›Full record

ArticleBMC cancer2009

A 7 gene expression score predicts for radiation response in cancer cervix.

Thangarajan Rajkumar, Neelakantan Vijayalakshmi, Kesavan Sabitha, Sundersingh Shirley, Ganesharaja Selvaluxmy, Mayil Vahanan Bose, Lavanya Nambaru

Abstract read
In one paragraph

Article in BMC cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Radiotherapy resistance: identifying universal biomarkers for various human cancers.Journal of cancer research and clinical oncology · 2022
    Review
  3. Article
  4. Sox11 promotes head and neck cancer progression via the regulation of SDCCAG8.Journal of experimental & clinical cancer research : CR · 2019
    Article
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  7. Article
  8. Oncogenic function of SCCRO5/DCUN1D5 requires its Neddylation E3 activity and nuclear localization.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
    Article
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  13. 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.

Thangarajan RajkumarDepartment of Molecular Oncology, Cancer Institute (WIA), Chennai, India. drtrajkumar@gmail.com
Neelakantan Vijayalakshmi
Kesavan Sabitha
Sundersingh Shirley
Ganesharaja Selvaluxmy
Mayil Vahanan Bose
Lavanya Nambaru

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the most common cancer among Indian women. The current recommendations are to treat the stage IIB, IIIA, IIIB and IVA with radical radiotherapy and weekly cisplatin based chemotherapy. However, Radiotherapy alone can help cure more than 60% of stage IIB and up to 40% of stage IIIB patients.

methodsArchival RNA samples from 15 patients who had achieved complete remission and stayed disease free for more than 36 months (No Evidence of Disease or NED group) and 10 patients who had failed radical radiotherapy (Failed group) were included in the study. The RNA were amplified, labelled and hybridized to Stanford microarray chips and analyzed using BRB Array Tools software and Significance Analysis of Microarray (SAM) analysis. 20 genes were selected for further validation using Relative Quantitation (RQ) Taqman assay in a Taqman Low-Density Array (TLDA) format. The RQ value was calculated, using each of the NED sample once as a calibrator. A scoring system was developed based on the RQ value for the genes.

resultsUsing a seven gene based scoring system, it was possible to distinguish between the tumours which were likely to respond to the radiotherapy and those likely to fail. The mean score +/- 2 SE (standard error of mean) was used and at a cut-off score of greater than 5.60, the sensitivity, specificity, Positive predictive value (PPV) and Negative predictive value (NPV) were 0.64, 1.0, 1.0, 0.67, respectively, for the low risk group.

conclusionWe have identified a 7 gene signature which could help identify patients with cervical cancer who can be treated with radiotherapy alone. However, this needs to be validated in a larger patient population.

Indexed as

Gene Expression Regulation, NeoplasticFemaleHumansNeoplasm StagingPredictive Value of TestsTreatment OutcomeUterine Cervical Neoplasms

Identifiers

PMID19832977
PMCPMC2768747

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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.