Evidence map›Paper›PMID 38352249›Full record

ArticleFrontiers in endocrinology2023

Endometrial transcriptome profiling of patients with recurrent implantation failure during hormone replacement therapy cycles.

Wen-Bi Zhang, Jue Li, Qing Li, Xiang Lu, Jun-Ling Chen, Lu Li, Hua Chen, Wei Fu, Jiu-Cheng Chen, Bing-Jie Lu and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07767240 (A Cohort Study of Endometrial Receptivity Analysis in Young, Primary Infertile Patients With Unexplained Recurrent Implantation Failure), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% 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.

NCT07767240 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Cohort Study of Endometrial Receptivity Analysis in Young, Primary Infertile Patients With Unexplained Recurrent Implantation Failure

TypeobservationalSponsorShangHai Ji Ai Genetics & IVF InstituteRan2026 to 2027Enrolled400ConditionsRecurrent Implantation FailureArmstb-ERA and personalized embryo transfer
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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 2 institutions in 1 country.

Wen-Bi Zhang *Shanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Jue Li *Unimed Biotech (Shanghai) Co., Ltd., Shanghai, China.
Qing LiUnimed Biotech (Shanghai) Co., Ltd., Shanghai, China.
Xiang LuShanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Jun-Ling ChenShanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Lu LiShanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Hua ChenShanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Wei FuShanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Jiu-Cheng ChenUnimed Biotech (Shanghai) Co., Ltd., Shanghai, China.
Bing-Jie LuUnimed Biotech (Shanghai) Co., Ltd., Shanghai, China.
Han Wu *Unimed Biotech (Shanghai) Co., Ltd., Shanghai, China.
Xiao-Xi Sun *Shanghai Ji Ai Genetics and In vitro Fertilization and Embryo Transfer (IVF-ET) Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Fudan University · CNObstetrics and Gynecology Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The molecular mechanisms underlying window of implantation (WOI) displacement in patients with recurrent implantation failure (RIF) remain unclear. This study aims to explore the transcriptomic signatures of endometrium with normal and displaced WOIs and to identify the causes of endometrial receptivity (ER) abnormalities and WOI displacement in RIF patients. Methods: In this study, 40 RIF patients were recruited and underwent personalized embryo transfer (pET) guided by the predicted results of endometrial receptivity diagnosis (ERD) model. Transcriptome analysis of endometrium from patients with clinical pregnancies after pET was performed to identify differentially expressed genes (DEGs) associated with WOI displacement. Gene expression data from HRT and natural cycle endometrium were compared to identify specific gene expression patterns of ER-related genes during WOI. Results: The ERD results indicated that 67.5% of RIF patients (27/40) were non-receptive in the conventional WOI (P+5) of the HRT cycle. The clinical pregnancy rate in RIF patients improved to 65% (26/40) after ERD-guided pET, indicating the effectiveness of transcriptome-based WOI prediction. Among the 26 patients with clinical pregnancy, the gene expression profiles of P+5 endometrium from advanced (n=6), normal (n=10) and delayed (n=10) WOI groups were significantly different from each other. Furthermore, 10 DEGs identified among P+5 endometrium of 3 groups were involved in immunomodulation, transmembrane transport and tissue regeneration, which could accurately classify the endometrium with different WOIs. Additionally, a large number of ER-related genes showed significant correlation and similar gene expression patterns in P+3, P+5, and P+7 endometrium from HRT cycles and LH+5, LH+7, and LH+9 endometrium from natural cycles. Conclusion: Our study shows that ER-related genes share similar gene expression patterns during WOI in both natural and HRT cycles, and their aberrant expression is associated with WOI displacements. The improvement of pregnancy outcomes in RIF patients by adjusting ET timing according to ERD results demonstrates the importance of transcriptome-based endometrial receptivity assessment and the clinical efficiency of ERD model.

Indexed as

Embryo ImplantationEndometriumFemaleGene Expression ProfilingHumansPregnancyPregnancy OutcomeTranscriptomedifferentially expressed gene (DEG)endometrial receptivity (ER)hormone replacement therapy (HRT) cyclerecurrent implantation failure (RIF)window of implantation (WOI) displacement

Identifiers

PMID38352249
PMCPMC10863671
OpenAlexW4391346835

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.