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| Status |
Public on Aug 10, 2022 |
| Title |
Identification of Potential Models for Predicting Progestin Insensitivity in Patients with Endometrial Atypical Hyperplasia and Endometrial Cancer Based on Integration of ATAC-Seq and RNA-Seq Analysis [ATAC-seq] |
| Organism |
Homo sapiens |
| Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
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| Summary |
To establish predictive models based on molecular profiles of endometrial lesions that might help to identify progestin insensitive endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients before progestin-based fertility preserving treatment. Endometrial lesions from progestin sensitive or progestin insensitive patients were prospectively collected before progestin treatment and analyzed by ATAC-Seq and RNA-Seq. Potential chromatin accessibility and expression profile were compared between PS and PIS groups. Candidate genes were identified by bioinformatic analysis and literature review. Expanded samples (n = 35) were used for verification and model construction.
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| Overall design |
Endometrial lesions from progestin sensitive (PS, n = 6) or progestin insensitive (PIS, n = 6) endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients were prospectively collected before progestin treatment and analyzed by ATAC-Seq and RNA-Seq on BGIseq500 platform (BGI-Shenzhen, China). Potential chromatin accessibility and expression profile were compared between PS and PIS groups. Candidate genes were identified by bioinformatic analysis and literature review. Expanded samples (n = 35) were used for verification and model construction.
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| Contributor(s) |
Hu J, Yierfulati G, Lv Q, Chen X |
| Citation(s) |
36092919 |
| Submission date |
Apr 29, 2022 |
| Last update date |
Nov 09, 2022 |
| Contact name |
Jiali Hu |
| E-mail(s) |
HJLmail2022@126.com
|
| Phone |
18367815927
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| Organization name |
Obstetrics and Gynecology Hospital of Fudan University
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| Street address |
No.419, Fangxie Road
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| City |
Shanghai |
| ZIP/Postal code |
200011 |
| Country |
China |
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| Platforms (1) |
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| Samples (12)
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| This SubSeries is part of SuperSeries: |
| GSE201928 |
Identification of Potential Models for Predicting Progestin Insensitivity in Patients with Endometrial Atypical Hyperplasia and Endometrial Cancer Based on Integration of ATAC-Seq and RNA-Seq Analysis |
|
| Relations |
| BioProject |
PRJNA833481 |
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