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Bioinformatics analysis of the clinicopathological and prognostic significance of BAG3 mRNA in gynecological cancers
BAG3 is a co-chaperone BAG family protein that plays important roles in protein homeostasis, cell survival, cell motility, and tumour metastasis. This study aimed to clarify the clinicopathological an
Taylor & Francis Group2024-03-04 更新50
Table_3_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.DOCX
BackgroundThe geriatric nutritional risk index (GNRI) is a commonly used method to assess nutritional risk for predicting potential surgical site infections (SSI) in cancer patients. This study aims t
NIAID Data Ecosystem30
Table_5_Immune Cell Infiltration as Signatures for the Diagnosis and Prognosis of Malignant Gynecological Tumors.DOCX
Background Malignant gynecological tumors are the main cause of cancer-related deaths in women worldwide and include uterine carcinosarcomas, endometrial cancer, cervical cancer, ovarian cancer, and b
NIAID Data Ecosystem20
Additional file 15 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers
Additional file 15: Supplementary Table 3. The results of Univariate Cox regression analysis for pan-cancer.
Figshare2022-11-10 更新40
DataSheet_1_A Novel Tool to Predict Early Death in Uterine Sarcoma Patients: A Surveillance, Epidemiology, and End Results-Based Study.docx
BackgroundUterine sarcoma is a rare gynecologic tumor with a high degree of malignancy. There is a lack of effective prognostic tools to predict early death of uterine sarcoma. MethodsData on patients
NIAID Data Ecosystem20
