Objectives. This study compared treatment outcomes and adverse events in patients with locally advanced cervical cancer undergoing radiotherapy (RT) with concurrent platinum-based doublet therapy vs. RT plus platinum single-agent therapy. The main outcomes were progression-free survival (PFS), overall survival (OS), and the occurrence of adverse events. Methods. We comprehensively searched Medline, Embase, the Cochrane Library, China National Knowledge Web, Wanfang Database, and VIP database, and performed a systematic review and cumulative meta-analysis of all randomized controlled trials (RCTs) by using the fixed-effect or random-effect models. The primary endpoints were OS and PFS, reported as hazard ratios (HRs) and 95% confidence intervals (95% Cls). The meta analysis was performed with RevMan 5.2. Results. Seven randomized trials including 1503 patients were identified. The meta-analysis showed that, for locally advanced cervical cancer, concurrent RT with platinum-based doublet chemotherapy significantly improved the OS (HR 0.75, 95% Cl 0.60-0.94,p = 0.01) and the PFS (HR 0.78, 95% CI 0.65-0.94, p = 0.01) compared to RT with cisplatin monotherapy. Grade 3 or 4 vomiting (related ratio [RR] = 3.19, 95% CI 1.85-5.49, p < 0.0001) and thrombocytopenia (RR = 2.75, 95% CI 1.39-5.44, p = 0.004) occurred more frequently in the polychemotherapy arm. The incidence of urinary system toxicity tended to be higher in the polychemotherapy arm (RR = 4.58, 95% CI 1.00-20.89, p = 0.05). Conclusions. Under the premise of good tolerance, RT plus platinum-based doublet therapy improves survival compared to RT plus platinum single-agent therapy in patients with locally advanced cervical cancer. (C) 2019 The Authors. Published by Elsevier Inc.

Background: The snoRNA host gene SNHG15 produces a long non-coding RNA (lncRNA) with a short half-life and has been reported to be dysregulated in multiple cancers and has recently been found to be correlated with tumour progression. Therefore, this meta-analysis was performed to evaluate the generalised prognostic role of small nucleolar RNA host gene 15 (SNHG15) in malignancies, based on variable data from different studies. Methods: Four public databases were used to identify eligible studies. The association between prognostic indicators and clinical features was extracted and pooled to estimate the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs). Publication bias was measured using Begg’s test and Egger’s test, and the stability of pooled results were measured using sensitivity analysis. Additionally, an online database based on The Cancer Genome Atlas (TCGA) was screened to further validate our results. Ultimately, we predicted the molecular regulation of SNHG15 based on the public databases. Results: In total, 11 studies including 1087 patients were ultimately enrolled in our meta-analysis. We found that SNHG15 overexpression was associated with worse overall survival (OS) and disease-free survival (DFS), and this was validated in the Gene Expression Profiling Interactive Analysis (GEPIA) cohort. Moreover, increased SNHG15 expression suggested advanced TNM stage and LNM, but was not associated with age, gender, or tumour size. No publication bias or instability of the results was observed. SNHG15 was significantly upregulated in seven cancers and elevated expression of SNHG15 indicated shorter OS and DFS in five malignancies based on the validation using the GEPIA cohort. Further functional prediction indicated that SNHG15 may participate in some cancer-related pathways. Conclusions: Upregulation of lncRNA SNHG15 was notably associated with worse prognosis and clinical features, suggesting that SNHG15 might serve as a novel prognostic factor in various cancers.

Lung squamous cell carcinoma (LUSC) comprises 20–30% of all lung cancers. Immunotherapy has significantly improved the prognosis of LUSC patients; however, only a small subset of patients responds to the treatment. Therefore, we aimed to develop a novel multi-gene signature associated with the immune phenotype of the tumor microenvironment for LUSC prognosis prediction. We stratified the LUSC patients from The Cancer Genome Atlas dataset into hot and cold tumor according to a combination of infiltration status of immune cells and PD-L1 expression level. Kaplan–Meier analysis showed that hot tumors were associated with shorter overall survival (OS). Enrichment analyses of differentially expressed genes (DEGs) between the hot and cold tumors suggested that hot tumors potentially have a higher immune response ratio to immunotherapy than cold tumors. Subsequently, hub genes based on the DEGs were identified and protein–protein interactions were constructed. Finally, we established an immune-related 13-gene signature based on the hub genes using the least absolute shrinkage and selection operator feature selection and multivariate cox regression analysis. This gene signature divided LUSC patients into high-risk and low-risk groups and the former inclined worse OS than the latter. Multivariate cox proportional hazard regression analysis showed that the risk model constructed by the 13 prognostic genes was an independent risk factor for prognosis. Receiver operating characteristic curve analysis showed a moderate predictive accuracy for 1-, 3- and 5-year OS. The 13-gene signature also performed well in four external cohorts (three LUSC and one melanoma cohorts) from Gene Expression Omnibus. Overall, in this study, we established a reliable immune-related 13-gene signature that can stratify and predict the prognosis of LUSC patients, which might serve clinical use of immunotherapy.

Cancer incidence rate has increased so much that it is the second leading cause of deaths worldwide after cardiovascular diseases. Sensitive and specific biomarkers are needed for an early diagnosis of cancer and in-time treatment. Recent studies have found that long non-coding RNAs (lncRNAs) participate in cancer tumorigenesis. LncRNA P73 antisense RNA 1T (TP73-AS1), also known as KIAA0495 and p53-dependent apoptosis modulator (PDAM), is located in human chromosomal band 1p36.32 and plays a crucial role in many different carcinomas. This review summarizes current findings on the role of TP73-AS1 and its signaling pathways in various cancers, including glioma, esophageal squamous cell carcinoma (ESCC), hepatocellular carcinoma (HCC), colorectal cancer (CRC), osteosarcoma, gastric cancer (GC), clear cell renal cell carcinoma (ccRCC), breast cancer (BC), bladder cancer, ovarian cancer, cholangiocarcinoma (CCA), lung cancer, and pancreatic cancer. Its aberrant expression generally correlates with clinicopathological characterization of patients. Moreover, TP73-AS1 regulates proliferation, migration, invasion, apoptosis, and chemoresistance cancer mechanisms, both in vivo and in vitro, through different signaling pathways. Therefore, TP73-AS1 may be considered as a marker for diagnosis and prognosis, also as a target for cancer treatment.

The treatment of advanced endometrial cancer is clinically challenging, prompting the exploration of innovative therapeutic strategies such as antibody-drug conjugates (ADC). ADCs, which include mAbs, cytotoxic components, and linkers, demonstrate robust targeting, cytotoxicity, and manageable adverse effects. To provide a thorough understanding of the status of research, this review elucidates promising therapeutic targets in endometrial cancer, such as HER2, folate receptor α, and trophoblast surface antigen-2, and summarizes preclinical and clinical trial data on related ADC drugs in endometrial cancer. We also discuss the toxicity of ADC drugs. Most adverse events arise from cytotoxic components such as microtubule inhibitors and topoisomerase inhibitors. The ocular toxicity may be mainly related to off-target effects of monomethyl auristatin F/DF4 payloads. Interstitial lung disease is a serious adverse event, mainly caused by antibodies, and most of them are of grade 1 to 2 toxicity. Among them, anti-HER2 ADC–induced interstitial pneumonia is commonly dose-dependent. Moreover, we identified potential new targets for endometrial cancer treatment and explored strategies to overcome ADC resistance, such as choosing combination therapy or developing a new generation of ADC drugs. Continuous research and innovation in this field hold promise for improving the survival and overall quality of life of patients with advanced endometrial cancer.

Messenger RNA (mRNA)-based vaccines present a promising avenue for cancer immunotherapy; however, their application in cervical cancer remains unexplored. This study investigated the interplay between the regulated cell death pathways of cuproptosis and ferroptosis to advance the development of mRNA vaccines for cervical cancer. We identified key cuproptosis-related and ferroptosis-related genes (CFRGs) from public mRNA profiles and determined their prognostic significance, mutation frequencies, and effect on the immune landscape. Our analysis revealed two distinct subtypes of cervical cancer associated with CFRGs, with differences in prognosis and immune characteristics. Using LASSO, XGBoost, and SVM–RFE methods, we established a 4-gene prognostic signature (TSC22D3, SQLE, ZNF419, and TFRC) to stratify patients based on their risk and determine its correlation with immune microenvironment, mutation profiles, and treatment responses. RT-qPCR validation confirmed the differential expression of these genes in clinical samples. Our findings identify TSC22D3, SQLE, ZNF419, and TFRC as candidate targets for mRNA vaccine development and offer a potential prognostic tool for personalized cervical cancer treatment.