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1.
Cancer Med ; 12(24): 22381-22394, 2023 12.
Artigo em Inglês | MEDLINE | ID: mdl-38087815

RESUMO

BACKGROUND: Cornichon homolog 4 (CNIH4) belongs to the CNIH family. It functions as an oncogene in many tumors. However, CNIH4's significance in the immune landscape and its predictive potential in cervical cancer (CESC) is unexplored. METHODS: CNIH4 levels and its effect on the survival of patients with CESC were evaluated using data retrieved from The Cancer Genome Atlas (TCGA). The oncogenic effect of CNIH4 in CESC was determined using small interfering RNA-mediated transfected cell lines and tumorigenesis experiments in animal models. RESULTS: Higher expression of CNIH4 was found in advanced tumor and pathological stages, as well as lymph node metastasis. CNIH4 expression correlated positively with the infiltration of macrophages M2 and resting dendritic cells into the affected tissue. Additionally, functional enrichment of RNA-sequencing of CNIH4-knocked down CESC cell lines showed the association of CNIH4 to the PI3K-Akt signaling pathway. Single-sample gene set enrichment analysis highlighted several immune pathways that were elevated in the CESC samples with enhanced levels of CNIH4, including Type-I and Type-II IFN-response pathways. The impact of CNIH4 on drug sensitivity was further assessed using the GDSC database. As CNIH4 is linked to the immune landscape in CESC, this study determined a four-gene risk prediction signature utilizing CNIH4-related immunomodulators. The risk score quantified from the prediction signature was an independent predictive indicator in CESC. Receiver operating characteristic curve analysis verified the good predictive ability of the four-gene signature in TCGA-CESC cohort. Thus, the CNIH4-related model showed potential as an auxiliary TNM staging system tool. CONCLUSION: CNIH4 may be an effective predictive biomarker for patients with cervical cancer, thus providing new ideas and research directions for CESC.


Assuntos
Neoplasias do Colo do Útero , Animais , Feminino , Humanos , Neoplasias do Colo do Útero/genética , Fosfatidilinositol 3-Quinases , Prognóstico , Oncogenes , Adjuvantes Imunológicos , Receptores Citoplasmáticos e Nucleares
2.
Artigo em Inglês | MEDLINE | ID: mdl-34422081

RESUMO

OBJECTIVE: To explore the relationship between body mass index (BMI) and waist-to-hip ratio (WHR) and clinicopathological characteristics and prognosis of uterine leiomyomata (UL). METHODS: A retrospective analysis of the clinical data of 133 patients with UL admitted to our hospital from September 2018 to August 2019. According to the BMI standard, the patients were divided into the normal group (n = 32), the super-recombination group (n = 45), and the obesity group (n = 56). According to WHR, the patients were divided into the normal body group (n = 32) and the obesity body group (n = 101). The prognosis of all patients with UL at 3 months postoperatively was evaluated. The relationship between BMI patients and clinical characteristics in different groups was compared, and univariate analysis and multivariate logistic regression model were used to analyze the factors affecting the prognosis of UL patients. RESULTS: The proportion of UL patients in the overweight/obese group was higher than that of the normal group, the proportion of the obese body group was higher than that of the normal body group, and the proportion of the good prognosis group was higher than that of the poor prognosis group (P < 0.05). The difference between the overweight/obese group and the normal group and the obese body group and the normal body group was irregular vaginal bleeding, the number of tumors, and the diameter of the lesion (P < 0.05), and the differences between the degenerations in the obese body group and the normal body group were statistically significant (P < 0.05). Multivariate analysis showed that BMI, WHR, surgical method, and tumor location were all independent risk factors that affected the prognosis of the surgery (P < 0.05). CONCLUSION: Elevated BMI and WHR can be accompanied by an increased risk of UL. Obesity is a risk factor for UL. Overweight/obese women are more clinically pathological than normal patients, and overweight/obese patients have worse surgical prognosis than normal patients. In order to reduce the prevalence of UL and improve the clinicopathological characteristics and prognosis of patients, clinically obese women should be instructed to use reasonable diet and exercise to control weight.

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