Evidence map›Paper›PMID 17235448›Full record

ArticleJournal of human genetics2007

CYP17 gene polymorphism and its association with high-risk north Indian breast cancer patients.

Anurupa Chakraborty, N S Murthy, Chintamani Chintamani, D Bhatnagar, R S Mohil, P C Sharma, Sunita Saxena

Open access · bronzeAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-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

12 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cancer management and research · 2018
    Article
  5. Review
  6. Article
  7. CYP17 polymorphism (rs743572) is associated with increased risk of gallbladder cancer in tobacco users.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  8. Genetic polymorphisms of ESR1, ESR2, CYP17A1, and CYP19A1 and the risk of breast cancer: a case control study from North India.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  9. Article
  10. Article
  11. Article
  12. Polymorphisms in steroid hormone biosynthesis genes and risk of breast cancer and fibrocystic breast conditions in Chinese women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008
    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

7 authors at 2 institutions in 1 country.

Anurupa ChakrabortyInstitute of Pathology, Safdarjang Hospital Campus, New Delhi, India.
N S MurthyNCRP (ICMR), Bangalore, India.
Chintamani ChintamaniSafdarjang Hospital, New Delhi, India.
D BhatnagarSafdarjang Hospital, New Delhi, India.
R S MohilSafdarjang Hospital, New Delhi, India.
P C SharmaGuru Govind Singh Indraprastha University, Kashmiri Gate, Delhi, India.
Sunita SaxenaInstitute of Pathology, Safdarjang Hospital Campus, New Delhi, India. sunita_saxena@yahoo.com.
Safdarjang Hospital · INGuru Gobind Singh Indraprastha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A single T > C change at the 5' promoter region of the CYP17 gene is reported to be associated with increased risk of breast cancer. This study evaluates the influence of genetic polymorphism of CYP17 on breast cancer susceptibility. Two hundred and forty-two patients with histopathologically confirmed breast cancer and 212 age-matched controls were included in the present study. Information relating to age at onset of the disease, family history and estrogen receptor status was elicited. Investigation for CYP17 polymorphism was carried out in 106 early onset, 80 late onset and 56 familial cases. The frequencies of two CYP17 alleles were also analyzed in 116 (47.9%) cases with known estrogen receptor (ER) status confirmed immunohistochemically. A polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used to detect the polymorphism, and the genotypes identified were assigned as homozygous wild type (A1A1), heterozygous variant (A1A2), and homozygous variant (A2A2). Associations between the various genotypes in patients and controls were investigated with Fisher's exact test. All the tests were two tailed. The results showed that the frequency of heterozygous and homozygous CYP17 genotype was higher in early onset breast cancer patients (94.3%) than in controls (80.3%), and the difference was significant (P = 0.001). A highly statistically significant increased risk in carriers of homozygous A2 allele was found in young patients (P < or = 0.001) in comparison with patients having late onset condition (P = 0.260). However, no significant association between the genotype and breast cancer risk was observed among women with strong family history. Further, data had showed that patients (80.6%) with at least one A2 allele tended to exhibit ER-independent cell proliferation, although statistical significance could not be established (P = 0.160). The present findings suggest that CYP17 A2 allele gene polymorphism might play a significant role in breast cancer development in young Indian women.

Indexed as

AdolescentAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansIndiaMiddle AgedPolymerase Chain ReactionPolymorphism, GeneticPolymorphism, Restriction Fragment LengthRisk FactorsSteroid 17-alpha-Hydroxylase

Identifiers

PMID17235448
OpenAlexW2151032397

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.