Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma
BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is a frequent gynecological malignancy with a poor prognosis particularly at an advanced stage. Herein, this study aims to construct prognostic markers of UCEC based on immune-related genes to predict the prognosis of UCEC.
METHODS: We analyzed expression data of 575 UCEC patients from The Cancer Genome Atlas database and immune genes from the ImmPort database, which were used for generation and validation of the signature. We constructed a transcription factor regulatory network based on Cistrome databases, and also performed functional enrichment and pathway analyses for the differentially expressed immune genes. Moreover, the prognostic value of 410 immune genes was determined using the Cox regression analysis. We then constructed and verified a prognostic signature. Finally, we performed immune infiltration analysis using TIMER-generating immune cell content.
RESULTS: The immune cell microenvironment as well as the PI3K-Akt, and MARK signaling pathways were involved in UCEC development. The established prognostic signature revealed a ten-gene prognostic signature, comprising of PDIA3, LTA, PSMC4, TNF, SBDS, HDGF, HTR3E, NR3C1, PGR, and CBLC. This signature showed a strong prognostic ability in both the training and testing sets and thus can be used as an independent tool to predict the prognosis of UCEC. In addition, levels of B cells and neutrophils were significantly correlated with the patient's risk score, while the expression of ten genes was associated with immune cell infiltrates.
CONCLUSIONS: In summary, the ten-gene prognostic signature may guide the selection of the immunotherapy for UCEC.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
|---|---|
| Enthalten in: |
Cancer cell international - 20(2020), 1 vom: 09. Nov., Seite 541 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Zhou, Cankun [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Immune gene |
|---|
| Anmerkungen: |
Date Revised 12.12.2020 published: Electronic Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1186/s12935-020-01560-w |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM318577976 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM318577976 | ||
| 003 | DE-627 | ||
| 005 | 20231225165635.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12935-020-01560-w |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1061.xml |
| 035 | |a (DE-627)NLM318577976 | ||
| 035 | |a (NLM)33292199 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhou, Cankun |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 12.12.2020 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is a frequent gynecological malignancy with a poor prognosis particularly at an advanced stage. Herein, this study aims to construct prognostic markers of UCEC based on immune-related genes to predict the prognosis of UCEC | ||
| 520 | |a METHODS: We analyzed expression data of 575 UCEC patients from The Cancer Genome Atlas database and immune genes from the ImmPort database, which were used for generation and validation of the signature. We constructed a transcription factor regulatory network based on Cistrome databases, and also performed functional enrichment and pathway analyses for the differentially expressed immune genes. Moreover, the prognostic value of 410 immune genes was determined using the Cox regression analysis. We then constructed and verified a prognostic signature. Finally, we performed immune infiltration analysis using TIMER-generating immune cell content | ||
| 520 | |a RESULTS: The immune cell microenvironment as well as the PI3K-Akt, and MARK signaling pathways were involved in UCEC development. The established prognostic signature revealed a ten-gene prognostic signature, comprising of PDIA3, LTA, PSMC4, TNF, SBDS, HDGF, HTR3E, NR3C1, PGR, and CBLC. This signature showed a strong prognostic ability in both the training and testing sets and thus can be used as an independent tool to predict the prognosis of UCEC. In addition, levels of B cells and neutrophils were significantly correlated with the patient's risk score, while the expression of ten genes was associated with immune cell infiltrates | ||
| 520 | |a CONCLUSIONS: In summary, the ten-gene prognostic signature may guide the selection of the immunotherapy for UCEC | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Immune gene | |
| 650 | 4 | |a Prognosis | |
| 650 | 4 | |a TCGA | |
| 650 | 4 | |a Uterine corpus endometrial carcinoma | |
| 700 | 1 | |a Li, Chaomei |e verfasserin |4 aut | |
| 700 | 1 | |a Yan, Fangli |e verfasserin |4 aut | |
| 700 | 1 | |a Zheng, Yuhua |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Cancer cell international |d 2001 |g 20(2020), 1 vom: 09. Nov., Seite 541 |w (DE-627)NLM118608711 |x 1475-2867 |7 nnns |
| 773 | 1 | 8 | |g volume:20 |g year:2020 |g number:1 |g day:09 |g month:11 |g pages:541 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1186/s12935-020-01560-w |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 20 |j 2020 |e 1 |b 09 |c 11 |h 541 | ||