BTG1 inhibits malignancy as a novel prognosis signature in endometrial carcinoma
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1475-2867
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
BTG1 inhibits malignancy as a novel prognosis signature in endometrial carcinoma ; volume:20 ; number:1 ; day:7 ; month:10 ; year:2020 ; pages:1-14 ; date:12.2020
Cancer cell international ; 20, Heft 1 (7.10.2020), 1-14, 12.2020
- Urheber
-
Li, Yibing
Huo, Jianing
He, Junjian
Zhang, Yunzheng
Ma, Xiaoxin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12935-020-01591-3
- URN
-
urn:nbn:de:101:1-2020112223032163312192
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 05:21 UTC
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Li, Yibing
- Huo, Jianing
- He, Junjian
- Zhang, Yunzheng
- Ma, Xiaoxin
- SpringerLink (Online service)
Ähnliche Objekte (12)
An integrated autophagy-related gene signature predicts prognosis in human endometrial Cancer
Malignancy risk factors based on endometrial polyp
An immune-related pseudogene signature to improve prognosis prediction of endometrial carcinoma patients
Identification of methylation-driven genes prognosis signature and immune microenvironment in uterus corpus endometrial cancer
Biopsy bacterial signature can predict patient tissue malignancy
Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancer
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer
Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma
Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy
CXCR3 predicts the prognosis of endometrial adenocarcinoma
Low Grade Endometrial Stromal Sarcoma : Report of a Rare Uterine Malignancy
Author Correction: Biopsy bacterial signature can predict patient tissue malignancy
An integrated autophagy-related gene signature predicts prognosis in human endometrial Cancer
Malignancy risk factors based on endometrial polyp
An immune-related pseudogene signature to improve prognosis prediction of endometrial carcinoma patients
Identification of methylation-driven genes prognosis signature and immune microenvironment in uterus corpus endometrial cancer
Biopsy bacterial signature can predict patient tissue malignancy
Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancer
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer
Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma
Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy
CXCR3 predicts the prognosis of endometrial adenocarcinoma
Low Grade Endometrial Stromal Sarcoma : Report of a Rare Uterine Malignancy
Author Correction: Biopsy bacterial signature can predict patient tissue malignancy
An integrated autophagy-related gene signature predicts prognosis in human endometrial Cancer
Malignancy risk factors based on endometrial polyp
An immune-related pseudogene signature to improve prognosis prediction of endometrial carcinoma patients
Identification of methylation-driven genes prognosis signature and immune microenvironment in uterus corpus endometrial cancer
Biopsy bacterial signature can predict patient tissue malignancy
Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancer
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer
Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma
Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy
CXCR3 predicts the prognosis of endometrial adenocarcinoma
Low Grade Endometrial Stromal Sarcoma : Report of a Rare Uterine Malignancy