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Meta-analysis of the association between the dietary inflammatory index (DII) and breast cancer risk
TLDR
It is suggested that more pro-inflammatory diets (higher DII scores) are associated with increased breast cancer incidence, however, the research is not about significant associations but about moderate effect sizes.
MicroRNAs in Alzheimer’s Disease: Function and Potential Applications as Diagnostic Biomarkers
TLDR
This review provides comprehensive information about the regulatory function of miRNAs in AD, as well as potential applications as diagnostic biomarkers and therapeutic value in this debilitating disease.
Impact of endometriosis on risk of ovarian, endometrial and cervical cancers: a meta-analysis
TLDR
Patients with endometriosis need to be closely observed and rechecked regularly to prevent malignant changes and are likely to be at increased risk for three gynecologic cancers.
Identification of lncRNAs associated with lung squamous cell carcinoma prognosis in the competitive endogenous RNA network
TLDR
This study identified seven lncRNAs in the ceRNA network that are associated with potential prognosis in LUSC patients, and constructed a prognostic model of L USC which can be used to assess the prognosis risk of clinical patients.
Ginsenoside Rg3 (Shenyi Capsule) Combined with Chemotherapy for Digestive System Cancer in China: A Meta-Analysis and Systematic Review
TLDR
The results revealed that the trials were of sufficient standard to draw reliable conclusions that ginsenoside Rg3 combined with chemotherapy could improve the clinical efficacy and alleviate treatment-induced side effects for digestive system cancer.
MicroRNAs associated with lung squamous cell carcinoma: New prognostic biomarkers and therapeutic targets
TLDR
This study aims to identify new biomarkers and pivotal genes associated with LUSC prognosis through bioinformatics.
Integrated analysis of co‐expression and ceRNA network identifies five lncRNAs as prognostic markers for breast cancer
TLDR
This study has contributed to the deeper understanding of the molecular mechanism of Breast cancer and provided novel insights into the use of breast cancer drugs and prognosis.
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