Li Li

Adiposity distribution and risks of 12 obesity-related cancers: a Mendelian randomization analysis

Abstract Introduction There is convincing evidence that overall adiposity increases the risks of several cancers. Whether the distribution of adiposity plays a similar role is unclear. Methods We used 2-sample Mendelian randomization (MR) to examine causal relationships of 5 adiposity distribution traits (abdominal subcutaneous adipose tissue (ASAT); visceral adipose tissue (VAT); gluteofemoral adipose tissue (GFAT); liver fat; and pancreas fat) with the risks of 12 obesity-related cancers (endometrial, ovarian, breast, colorectal, pancreas, multiple myeloma, liver, kidney (renal cell), thyroid, gallbladder, esophageal adenocarcinoma, and meningioma). Results Sample size across all genome-wide association studies (GWAS) ranged from 8407 to 728 896 (median: 57 249). We found evidence that higher genetically predicted ASAT increased the risks of endometrial cancer, liver cancer, and esophageal adenocarcinoma (odds ratios (OR) and 95% confidence intervals (CI) per standard deviation (SD) higher ASAT = 1.79 (1.18 to 2.71), 3.83 (1.39 to 10.53), and 2.34 (1.15 to 4.78), respectively). Conversely, we found evidence that higher genetically predicted GFAT decreased the risks of breast cancer and meningioma (ORs and 95% CIs per SD higher genetically predicted GFAT = 0.77 (0.62 to 0.97) and 0.53 (0.32 to 0.90), respectively). We also found evidence for an effect of higher genetically predicted VAT and liver fat on increased liver cancer risk (ORs and 95% CIs per SD higher genetically predicted adiposity trait = 4.29 (1.41 to 13.07) and 4.09 (2.29 to 7.28), respectively). Discussion Our analyses provide novel insights into the relationship between adiposity distribution and cancer risk. These insights highlight the potential importance of adipose tissue distribution alongside maintaining a healthy weight for cancer prevention.

Association of Urinary Levels of Estrogens and Estrogen Metabolites with the Occurrence and Development of Endometrial Hyperplasia Among Premenopausal Women

Endometrial cancer is known to be an estrogen-dependent cancer, and it is believed that exposure to estrogens increases the risk of developing endometrial cancer in the absence of progesterone. Estrogens and estrogen metabolites may help to predict the risk of endometrial hyperplasia (EH) with atypia. Estrogens and estrogen metabolites were measured by high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS) in the first morning urine sample collected from 150 patients with EH and 50 healthy premenopausal women in the study. In healthy premenopausal women, the level of 16α-hydroxyestrone (16α-OHE1) in the overweight group was significantly higher than that in the lean group (p < 0.05). The levels of 4-hydroxyestradiol (4-OHE2) and 16α-OHE1 were elevated in the AEH group as compared to that in the control group (p < 0.05). Overweight is related to EH incidence as it causes an imbalance of estrogen metabolites. This study provides identifies potential biomarkers for estrogen-induced AEH.

Molecular and Immune Correlates of Response to First-Line De-escalated Chemotherapy plus Penpulimab and Anlotinib in Advanced Cervical Cancer

Abstract The standard of care for advanced cervical cancer includes chemotherapy, antiangiogenic, and/or immune checkpoint blockade regimens. Although effective, it leads to pleiotropic side effects. Deescalation chemotherapy together with immunotargeted therapies has been proven effective and less toxic in other cancers. In this study, we conducted a multicenter, single-arm, phase II study of first-line deescalated platinum-based chemotherapy plus anlotinib and penpulimab, followed by maintenance therapy solely with anlotinib and penpulimab in patients with PD-L1–positive, persistent, recurrent, or metastatic cervical cancer. Of 32 efficacy-evaluable patients, 30 (93.8%, 95% confidence interval, 79.2%–99.2%) had an investigator-confirmed objective response. Single-nucleus RNA sequencing implied enhanced chemotaxis and proliferative activity of tumor-infiltrating T cells, and activated germinal center B cells portended optimal treatment response. Patients with a high tertiary lymphoid structure-to-tumor area ratio exhibited better survival. Our findings lay the groundwork for the feasibility of first-line de-escalated chemotherapy plus anlotinib and penpulimab in patients with metastatic, persistent, or recurrent cervical cancer. Significance: We recruited 34 patients with advanced cervical cancer receiving two cycles of platinum-based chemotherapy plus anlotinib and penpulimab, followed by maintenance therapy solely with anlotinib and penpulimab, and showed safety and efficacy of this deescalation regimen. This work highlights the potential for personalized treatment strategies and feasibility of reduced-toxicity regimens.

Bioinformatic screening for candidate biomarkers and their prognostic values in endometrial cancer

Abstract Background Endometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive. Results Two eligible human endometrial cancer datasets (GSE17025 and GSE25405) were selected for the study. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signalling pathways. A total of 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. The prognosis analysis revealed that Cyclin E1 (CCNE1, one of the 82 hub genes, which correlated with hsa-miR-195 and hsa-miR-424) was significantly linked to a worse overall survival in endometrial cancer patients. Conclusions The hub genes and differentially expressed miRNAs identified in this study might be used as prognostic biomarkers for endometrial cancer and molecular targets for its treatment.

Comprehensive clinical analysis of gastric-type endocervical adenocarcinoma: a real-world multicenter study

Gastric-type endocervical adenocarcinoma (G-EAC) is a rare malignancy, and its clinicopathological characteristics remain poorly defined. This study aimed to evaluate the real-world features, treatment patterns, and outcomes of patients with G-EAC. Clinical data from 124 patients diagnosed with G-EAC between 2012 and 2024 across four tertiary hospitals in China were retrospectively analyzed. Clinicopathological features, therapeutic approaches, and survival outcomes were assessed. Overall survival (OS) was the primary endpoint. Kaplan-Meier and Cox regression analyses were performed to identify prognostic factors. The median diagnostic age was 55 years (range, 33-82). At presentation, 62.1% of patients had invasion or metastasis, most commonly lymphovascular (47.6%). Surgery was performed in 81.5% of cases, and 84.7% received chemotherapy, primarily platinum-based (81.5%). Radiotherapy was administered to 69.4%. The 1-, 3-, and 5-year OS rates were 78.6%, 54.8%, and 46.1%, respectively. Older age (≥65 years; HR, 4.71; 95% CI, 1.52-14.58; G-EAC exhibits aggressive behavior and unfavorable prognosis, with a 5-year OS of 46.1%. Multimodal treatment, particularly surgery combined with chemotherapy, remains the cornerstone of management and may improve survival. Prospective multicenter studies are warranted to further define optimal therapeutic strategies for this rare entity.

Fertility and prognosis assessment between bleomycin/etoposide/cisplatin and paclitaxel/carboplatin chemotherapy regimens in the conservative treatment of malignant ovarian germ cell tumors: a multicenter and retrospective study

To evaluate the impact of bleomycin/etoposide/cisplatin (BEP) and paclitaxel/carboplatin (PC) chemotherapy regimens on the fertility and prognostic outcomes in malignant ovarian germ cell tumor (MOGCT) patients who underwent fertility-sparing surgery (FSS). A propensity score matching algorithm was performed between the BEP and PC groups. The χ² test and the Kaplan-Meier method were used to compare the fertility outcome, disease-free survival (DFS) and overall survival (OS). The Cox proportional hazards regression analysis was used to identify risk factor of DFS. We included 213 patients, 185 (86.9%) underwent BEP chemotherapy, and 28 (13.1%) underwent PC chemotherapy. The median age was 22 years (range, 8-44 years), and the median follow-up period was 63 months (range, 2-191 months). Fifty-one (29.3%) patients had a pregnancy plan, and 35 (85.4%) delivered successfully. In the before and after propensity score matching cohorts, there were no significant differences in spontaneous abortion, selective termination of pregnancy, during-pregnancy status, and live birth between the BEP and PC groups (p>0.05). Fourteen (6.6%) patients experienced recurrence, including 11 (5.9%) in the BEP group and 3 (10.7%) in the PC group. Four (1.9%) patients in the BEP group died. Kaplan-Meier analysis revealed no significant differences in DFS (p=0.328) and OS (p=0.446) between the BEP and PC groups, and the same survival results were observed in the after matching cohort. The PC regimen is as safe as the BEP regimen for MOGCT patients with fertility preservation treatment, and no differences were observed in fertility and clinical prognosis.

Period Analysis of Intraracial Differences in Incidence and Survival Rates in Epithelial Ovarian Cancer

Background. To explain the difference in the incidence and relative survival in a population-based cohort of women with epithelial ovarian cancer (EOC) postdiagnosis in the last forty years. EOC is the most common type of all ovarian cancers, but there is inadequate information about the variations related to long-term EOC survival. Methods. We acquired the incidence and relative survival rate data from the Surveillance, Epidemiology, and End Results (SEER) registries to analyze the epidemiological variations from 1974 to 2013 in EOC-affected individuals. The survival disparities in EOC-specific individuals due to age, race, and socioeconomic status (SES) were performed by Kaplan-Meier analysis. The Results. The overall incidence of EOC progressively declined to 9.0 per 100,000 from 11.4 in the last forty years. The median survival rate improved to 48 months in the first decade from a previous of 27 months in the fourth decade. The 5-year relative survival rate (RSR) increased to 44.3% that was previously 32.3% at the same time. However, between whites and blacks, an increase from 11 to 18 months was observed in the median survival differences. Between the low and high poverty groups, it was increased from 7 months to 12 months, respectively. Conclusions. The incidence rate of RSR and EOC-specific individuals in the last forty years was improved. However, the survival rates among different races and SES differed over time.

Circular RNA circPBX3 promotes cisplatin resistance of ovarian cancer cells via interacting with IGF2BP2 to stabilize ATP7A mRNA expression

Circular RNAs (circRNAs) are a class of non-coding RNAs with a unique covalently closed loop structure. Recent studies indicate that dysregulation of circRNAs acts a role in cancer progression and chemotherapy resistance via interacting with RNA-binding proteins (RBPs). Herein, we identified circPBX3 to be involved in cisplatin resistance of ovarian cancer. In our study, two cisplatin-resistant ovarian cancer cell lines were established, and transcriptome RNA-sequencing was performed and circPBX3 was identified as significantly upregulated circRNA in these cells. The characteristics of circPBX3 and potential function of circPBX3 were evaluated. We found that circPBX3 was upregulated in ovarian tumor tissues and cisplatin-resistant ovarian cancer cells. CircPBX3 overexpression increased the half maximal inhibitory rate (IC

Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia

Abstract Background To study the risk factors involved in the occurrence and progression of cervical intraepithelial neoplasia (CIN) and to establish predictive models. Methods Genemania was used to build a gene network. Then, the core gene-related pathways associated with the occurrence and progression of CIN were screened in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments were performed to verify the differential expression of the identified genes in different tissues. R language was used for predictive model establishment. Results A total of 10 genes were investigated in this study. A total of 30 cases of cervical squamous cell cancer (SCC), 52 cases of CIN and 38 cases of normal cervix were enrolled. Compared to CIN cases, the age of patients in the SCC group was older, the number of parities was greater, and the percentage of patients diagnosed with CINII+ by TCT was higher. The expression of TGFBR2, CSKN1A1, PRKCI and CTBP2 was significantly higher in the SCC groups. Compared to patients with normal cervix tissue, the percentage of patients who were HPV positive and were diagnosed with CINII+ by TCT was significantly higher. FOXO1 expression was significantly higher in CIN tissue, but TGFBR2 and CTBP2 expression was significantly lower in CIN tissue. The significantly different genes and clinical factors were included in the models. Conclusions Combination of clinical and significant genes to establish the random forest models can provide references to predict the occurrence and progression of CIN.

Reliable estrogen-related prognostic signature for uterine corpus endometrial carcinoma

Uterine corpus endometrial carcinoma (UCEC) is a predominant gynecological malignancy worldwide. Overdosed estrogen exposure has been widely known as a crucial risk factor for UCEC patients. The purpose of this work is to explore crucial estrogen-related genes (ERGs) in UCEC. UCEC scRNA-seq data, bulk RNA data, and ERGs were obtained from GEO, TCGA, and Molecular Signature Database, respectively. Differential expression analysis and cross analysis determined the candidate genes, and optimal genes in risk score were obtained after univariate Cox regression analysis, LASSO Cox regression analysis, and multivariate Cox regression analysis. The functional information was revealed by GO, KEGG, and GSVA enrichment analyses. CCK8 assay was used to detect the drug sensitivity. After cross analysis of the differentially expressed genes and the 8734 ERGs, 86 differentially expressed ERGs were identified in UCEC, which were significantly enriched in some immune related pathways and microbiota related pathways. Of them, the most optimal 8 ERGs were obtained to build prognostic risk score, including GAL, PHGDH, SLC7A2, HNMT, CLU, AREG, MACC1, and HMGA1. The risk score could reliably predict patient prognosis, and high-risk patients had worse prognosis. Higher HMGA1 gene expression exhibited higher sensitivity to Osimertinib. Predictive risk score based on 8 ERGs exhibited excellent prognostic value in UCEC patients, and high-risk patients had inferior survival. UCEC patients with distinct prognoses showed different tumor immune microenvironment.