Evidence map›Paper›PMID 26871844›Full record

Observational studyMedicine2016

Genetic Variation in Metastasis-Associated in Colon Cancer-1 and the Risk of Breast Cancer Among the Chinese Han Population: A STROBE-Compliant Observational Study.

Zhi-Jun Dai, Xing-Han Liu, Hua-Feng Kang, Xi-Jing Wang, Tian-Bo Jin, Shu-Qun Zhang, Tian Feng, Xiao-Bin Ma, Meng Wang, Yan-Jing Feng and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 7% 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, 26 citations in OpenAlex.

  1. Review
  2. The impacts ofJournal of Cancer · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Effects ofJournal of Cancer · 2020
    Article
  9. Genetic polymorphisms inCancer management and research · 2019
    Article
  10. Polymorphisms inBioscience reports · 2018
    Article
  11. Journal of Cancer · 2018
    Article
  12. Association of twoCancer management and research · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

13 authors at 1 institution in 1 country.

Zhi-Jun DaiFrom the Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University (Z-JD, X-HL, H-FK, X-JW, S-QZ, X-BM, MW, Y-JF, KL, PX, H-TG); and National Engineering Research Center for Miniaturized Detection Systems, School of Life Sciences, Northwest University (T-BJ, TF), Xi'an, China.
Xing-Han Liu
Hua-Feng Kang
Xi-Jing Wang
Tian-Bo Jin
Shu-Qun Zhang
Tian Feng
Xiao-Bin Ma
Meng Wang
Yan-Jing Feng
Kang Liu
Peng Xu
Hai-Tao Guan
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis-associated in colon cancer-1 (MACC1), a newly identified oncogene, is involved in angiogenesis, invasiveness, and metastasis in many cancers. Epidemiological studies have indicated the associations between MACC1 polymorphisms and cancer risk. However, the association between genetic polymorphisms in MACC1 and breast cancer (BC) was not clear. This study aimed to evaluate the relationship between MACC1 polymorphisms and BC risk.We genotyped 4 single-nucleotide polymorphisms (SNPs) in MACC1 (rs975263, rs1990172, rs3735615, rs4721888) to determine the haplotypes in 560 BC patients and 583 age-, sex-, and ethnicity-matched healthy individuals. Genotypes were determined using the Sequenom MassARRAY method. We estimated the odds ratios (ORs) and 95% confidence intervals (95% CIs) using the chi-square test.There were significant differences between patients and controls in the MACC1 rs975263 allelic (T vs C: OR = 0.76, 95% CI = 0.61-0.95, P = 0.014) and genotypic groups (TC vs TT: OR = 0.70, 95% CI = 0.54-0.92, P = 0.009; TC+CC vs TT: OR = 0.71, 95% CI = 0.55-0.92, P = 0.008). Analysis of clinical features demonstrated significant associations between rs975263 and Scarff-Bloom-Richardson (SBR) grade 3 cancer (P = 0.006) and postmenopausal women (P = 0.018). Compared with the rs4721888 CC genotype, the frequency of rs4721888 GC and GC+CC variants was higher in patients. Further analysis revealed that the variant genotypes were positively associated with lymph node metastasis. However, we failed to find any relationships between rs1990172 or rs3735615 polymorphism and BC risk. In addition, haplotype analysis indicated that the CTGG and CTCG haplotypes (rs975263, rs1990172, rs3735615, rs4721888) were significantly associated with decreased susceptibility to BC (P = 0.029 and 0.019 respectively).Our results suggest that rs975263 and rs4721888 polymorphisms in MACC1 are associated with the risk of BC susceptibility and may be involved in the progression of BC in Chinese women.

Indexed as

Genetic VariationPolymorphism, Single NucleotideAsian PeopleBreast NeoplasmsCase-Control StudiesColonic NeoplasmsFemaleHumansMiddle AgedRisk AssessmentTrans-ActivatorsTranscription FactorsMACC1 protein, humanTrans-ActivatorsTranscription Factors

Identifiers

PMID26871844
PMCPMC4753940
OpenAlexW2286284605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.