Evidence map›Paper›PMID 22310978›Full record

ArticleCancer biology & therapy2012

Polymorphisms in genes involved in drug detoxification and clinical outcomes of anthracycline-based neoadjuvant chemotherapy in Chinese Han breast cancer patients.

Minghua Ji, Jinhai Tang, Jianhua Zhao, Bin Xu, Jianwei Qin, Jianwei Lu

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. GSTT1 and GSTM1 polymorphisms predict treatment outcome for breast cancer: a systematic review and meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
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  8. Genetic Influences in Breast Cancer Drug Resistance.Breast cancer (Dove Medical Press) · 2021
    Review
  9. Breast Cancer-Related Low Penetrance Genes.Advances in experimental medicine and biology · 2021
    Article
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  11. Review
  12. Oncotarget · 2017
    Article
  13. Oncotarget · 2017
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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

6 authors at 1 institution in 1 country.

Minghua JiDepartment of Radiotherapy, Jiangsu Cancer Hospital, Nanjing, China.
Jinhai Tang
Jianhua Zhao
Bin Xu
Jianwei Qin
Jianwei Lu
Jiangsu Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe large individual variability for anticancer drugs in both outcome and toxicity risk makes the identification of pharmacogenetic markers that can be used to screen patients before therapy selection an attractive prospect.

aimsThis work aimed to evaluate the importance of genetic polymorphisms involved in drug detoxification to predict clinical outcomes of anthracycline-based neoadjuvant chemotherapy for breast cancer.

resultsGSTP1 313 AA genotype was associated with a poor clinical response relative to G allele carrier (58.4% vs 80.8%; p = 0.006), and MDR1 3435 TT genotype had a worse response compared with C allele carrier (33.3% vs 71.2% p = 0.001). Patients with both the adverse genotypes of GSTP1 314AA and MDR 3435TT showed the worst therapy efficacy in all (14.3%; p = 0.000). Kaplan-Meier survival analysis showed that the patients with no adverse genotype were associated with decreased hazard of relapse (p = 0.002), compared with those with 1 or 2 adverse genotypes. Multivariate analysis demonstrated that clinical response and no adverse genotype was independent predictors of disease-free survival (DFS).

methodsGenotyping was performed by allele-specific oligonucleotide ligation reaction (MnSOD, CAT, GSTP1), multiplex PCR (GSTM1, GSTT1) or PCR-RFLP (MDR1). Based on 153 patients received anthracycline-based neoadjuvant chemotherapy, these genotypes or their combinations in relation to treatment-related response, hematologic toxicity and DFS were investigated.

conclusionsThese results suggest that polymorphisms in GSTP1 and MDR1 may help to predict clinical response and DFS of anthracycline-based chemotherapy, and a polygenic pathway approach should provide more useful information. The findings required independent prospective confirmation.

Indexed as

AdultAgedAnthracyclinesAsian PeopleATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Breast NeoplasmsDisease-Free SurvivalFemaleGenotypeGlutathione S-Transferase piHumansInactivation, MetabolicMiddle AgedNeoadjuvant TherapyPolymorphism, GeneticABCB1 protein, humanAnthracyclinesATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Glutathione S-Transferase piGSTP1 protein, human

Identifiers

PMID22310978
PMCPMC3367712
OpenAlexW2144572305

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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.