Evidence map›Paper›PMID 33604715›Full record

ArticleBreast cancer research and treatment2021

Time-varying effects of FOXA1 on breast cancer prognosis.

Qian-Xin Chen, Yuan-Zhong Yang, Zhuo-Zhi Liang, Jia-Li Chen, Yue-Lin Li, Zi-Yi Huang, Zi-Jin Weng, Xiao-Fang Zhang, Jie-Xia Guan, Lu-Ying Tang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Cohort profile: Guangzhou breast cancer study (GBCS).European journal of epidemiology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

12 authors at 1 institution in 1 country.

Qian-Xin Chen *School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China.
Yuan-Zhong Yang *The Sun Yat-Sen University Cancer Center, Guangzhou, 510080, China.
Zhuo-Zhi LiangSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China.
Jia-Li ChenSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China.
Yue-Lin LiSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China.
Zi-Yi HuangSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China.
Zi-Jin WengThe Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
Xiao-Fang ZhangThe Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
Jie-Xia GuanThe Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
Lu-Ying TangThe Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
Jing-Ping YunThe Sun Yat-Sen University Cancer Center, Guangzhou, 510080, China. yunjp@sysucc.org.cn.
Ze-Fang RenSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China. renzef@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7785-4704
Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81773515National Natural Science Foundation of China 81973115Science and Technology Planning Project of Guangdong Province 2019B030316002
6 · The paper itself

Abstract

purposeResults of previous studies on the associations between Forkhead box A1 (FOXA1) expression in breast cancer tissues and the prognosis varied depending on the follow-up durations. The present study would investigate whether there is a time-varying effect of FOXA1 in breast cancer tissues on the prognosis.

methodsFOXA1 expressions were evaluated in 1041 primary invasive breast tumors with tissue microarrays by immunohistochemistry. Cox models with restricted cubic splines and Kaplan-Meier survival analysis were used to examine the associations between FOXA1 and the prognosis. Flexible parametric models were applied to explore the time-varying effect of FOXA1.

resultsOverall, the association between FOXA1 expression and the prognosis was not significant but varied on the time of follow-up. Compared to FOXA1 ≤ 270 of H-score, the hazard ratios (HRs) of death for those with 271-285 of FOXA1 expression increased from 0.35 (95% CI 0.14-0.86) at 6 months after diagnosis to 2.88 (95% CI 1.35-6.15) at 120 months with a crossover at around 36 months. Similar patterns were also observed for FOXA1 > 285 of H-score and for progression free survival (PFS). Moreover, when allowed both FOXA1 and estrogen receptor (ER) to change over time in the model (considering that ER had a similar time-varying effect), these time-varying effects remained for FOXA1 on both overall survival (OS) (P < 0.01) and PFS (P = 0.01) but were attenuated for ER (P = 0.13 for OS).

conclusionsThis study revealed an independent time-varying effect of FOXA1 on breast cancer prognosis, which would provide an insight into the roles of FOXA1 as a marker of breast cancer prognosis and may help optimize the medication strategies.

Indexed as

Breast NeoplasmsBreastFemaleHepatocyte Nuclear Factor 3-alphaHumansPrognosisReceptors, EstrogenFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaReceptors, EstrogenBreast cancerFOXA1PrognosisTime-varying effectsTissue microarray

Identifiers

PMID33604715
OpenAlexW3132998703

What OpenQuestion holds

Textmetadata
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.