Evidence map›Paper›PMID 37568077›Full record

ArticleBMC cancer2023

AGR2 and FOXA1 as prognostic markers in ER-positive breast cancer.

Meng Zhou, Xing-Li Gan, Yue-Xiang Ren, Qian-Xin Chen, Yuan-Zhong Yang, Zi-Jin Weng, Xiao-Fang Zhang, Jie-Xia Guan, Lu-Ying Tang, Ze-Fang Ren

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Meng ZhouSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Rd, Guangzhou, 510080, China.
Xing-Li GanSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Rd, Guangzhou, 510080, China.
Yue-Xiang RenThe Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China. 13787713435@163.com.
Qian-Xin ChenSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Rd, Guangzhou, 510080, China.
Yuan-Zhong YangThe Sun Yat-sen University Cancer Center, Guangzhou, China.
Zi-Jin WengThe Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China.
Xiao-Fang ZhangThe Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China.
Jie-Xia GuanThe Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China.
Lu-Ying TangThe Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China. tangly@mail.sysu.edu.cn.
Ze-Fang RenSchool of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Rd, Guangzhou, 510080, China. renzef@mail.sysu.edu.cn.
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic role of either forkhead box A1 (FOXA1) or anterior gradient 2 (AGR2) in breast cancer has been found separately. Considering that there were interplays between them depending on ER status, we aimed to assess the statistical interaction between AGR2 and FOXA1 on breast cancer prognosis and examine the prognostic role of the combination of them by ER status.

methodsAGR2 and FOXA1 expression in tumor tissues were evaluated with tissue microarrays by immunohistochemistry in 915 breast cancer patients with follow up data. The expression levels of these two markers were treated as binary variables, and many different cutoff values were tried for each marker. Survival and Cox proportional hazard analyses were used to evaluate the relationship between AGR2, FOXA1 and prognosis, and the statistical interaction between them on the prognosis was assessed on multiplicative scale.

resultsStatistical interaction between AGR2 and FOXA1 on the PFS was significant with all the cutoff points in ER-positive breast cancer patients but not ER-negative ones. Among ER-positive patients, the poor prognostic role of the high level of FOXA1 was significant only in patients with the low level of AGR2, and vice versa. When AGR2 and FOXA1 were considered together, patients with low levels of both markers had significantly longer PFS compared with all other groups.

conclusionsThere was a statistical interaction between AGR2 and FOXA1 on the prognosis of ER-positive breast cancer. The combination of AGR2 and FOXA1 was a more useful marker for the prognosis of ER-positive breast cancer patients.

Indexed as

Breast NeoplasmsBiomarkers, TumorBreastFemaleHepatocyte Nuclear Factor 3-alphaHumansImmunohistochemistryMucoproteinsOncogene ProteinsPrognosisAGR2 protein, humanBiomarkers, TumorFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaMucoproteinsOncogene ProteinsAGR2Breast cancerFOXA1Prognosis

Identifiers

PMID37568077
PMCPMC10416444
OpenAlexW4385766975

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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.