Evidence map›Paper›PMID 24146803›Full record

ArticlePloS one2013

Strong impact of TGF-β1 gene polymorphisms on breast cancer risk in Indian women: a case-control and population-based study.

Singh Pooja, Amirtharaj Francis, Singh Rajender, Rakesh Tamang, Raja Rajkumar, Karan Singh Saini, Kaling Megu, Madhu Mati Goel, Daminani Surekha, Digumarthi Raghunatha Rao and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. A Review of the Epidemiology of Breast Cancer in Asia: Focus on Risk Factors.Asian Pacific journal of cancer prevention : APJCP · 2020
    Review
  6. SNHG1 Long Noncoding RNA is Potentially Up-Regulated in Colorectal Adenocarcinoma.Asian Pacific journal of cancer prevention : APJCP · 2020
    Article
  7. Association ofCancers · 2020
    Article
  8. Article
  9. Evaluation of rs1982073 polymorphism of transforming growth factor-β1 in glioblastoma.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
  10. Article
  11. Article
  12. The Relationship betweenDisease markers · 2017
    Article
  13. Article
  14. Article
  15. Article
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

19 authors at 8 institutions in 1 country.

Singh PoojaEndocrinology Division, CSIR-Central Drug Research Institute, Lucknow, India ; Department of Pathology, King George's Medical University, Lucknow, India.
Amirtharaj Francis
Singh Rajender
Rakesh Tamang
Raja Rajkumar
Karan Singh Saini
Kaling Megu
Madhu Mati Goel
Daminani Surekha
Digumarthi Raghunatha Rao
Lakshmi Rao
Lingadakai Ramachandra
Sandeep Kumar
Surender Kumar
Satti Vishnupriya
Kapaettu Satyamoorthy
Mahendra Pal Singh Negi
Kumarasamy Thangaraj
Rituraj Konwar
Central Drug Research Institute · INCentre for Cellular and Molecular Biology · INAll India Institute of Medical Sciences Bhopal · INKasturba Medical College, Manipal · INKing George's Medical University · INOsmania University · INManipal Academy of Higher Education · INNizam's Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTGF-β1 is a multi-functional cytokine that plays an important role in breast carcinogenesis. Critical role of TGF-β1 signaling in breast cancer progression is well documented. Some TGF-β1 polymorphisms influence its expression; however, their impact on breast cancer risk is not clear.

methodsWe analyzed 1222 samples in a candidate gene-based genetic association study on two distantly located and ethnically divergent case-control groups of Indian women, followed by a population-based genetic epidemiology study analyzing these polymorphisms in other Indian populations. The c.29C>T (Pro10Leu, rs1982073 or rs1800470) and c.74G>C (Arg25Pro, rs1800471) polymorphisms in the TGF-β1 gene were analyzed using direct DNA sequencing, and peripheral level of TGF-β1 were measured by ELISA.

resultsc.29C>T substitution increased breast cancer risk, irrespective of ethnicity and menopausal status. On the other hand, c.74G>C substitution reduced breast cancer risk significantly in the north Indian group (p = 0.0005) and only in the pre-menopausal women. The protective effect of c.74G>C polymorphism may be ethnicity-specific, as no association was seen in south Indian group. The polymorphic status of c.29C>T was comparable among Indo-Europeans, Dravidians, and Tibeto-Burmans. Interestingly, we found that Tibeto-Burmans lack polymorphism at c.74G>C locus as true for the Chinese populations. However, the Brahmins of Nepal (Indo-Europeans) showed polymorphism in 2.08% of alleles. Mean TGF-β1 was significantly elevated in patients in comparison to controls (p<0.001).

conclusionc.29C>T and c.74G>C polymorphisms in the TGF-β1 gene significantly affect breast cancer risk, which correlates with elevated TGF-β1 level in the patients. The c.29C>T locus is polymorphic across ethnically different populations, but c.74G>C locus is monomorphic in Tibeto-Burmans and polymorphic in other Indian populations.

Indexed as

Polymorphism, Single NucleotideAdultAgedAged, 80 and overAllelesAsian PeopleBreast NeoplasmsCarcinomaCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansIndiaMenopauseMiddle AgedPremenopauseTransforming Growth Factor beta1

Identifiers

PMID24146803
PMCPMC3798290
OpenAlexW1973911011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.