Discover. Oncology最新文献

{"title":"Triglyceride-glucose index predicts postoperative overall survival in hepatocellular carcinoma: a retrospective cohort study.","authors":"Gao-Min Liu, Wen-Biao Zhu, Ji-Wei Xu","doi":"10.1007/s12672-024-01541-9","DOIUrl":"10.1007/s12672-024-01541-9","url":null,"abstract":"<p><strong>Background: </strong>Insulin resistance is important in hepatocellular carcinoma (HCC) carcinogenesis and progression. The triglyceride-glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio or TyG-body mass index (TyG-BMI) are three non-invasive parameters for insulin resistance. However, their prognostic role in HCC patients undergoing hepatectomy remains unclear.</p><p><strong>Materials and methods: </strong>HCC patients who underwent hepatectomy at the Meizhou People's Hospital from May 2011 to February 2023 were retrospectively explored. Patients were classified into high and low groups based on different TyG, TG/HDL-c, and TyG-BMI indices. The prognostic role of TyG, TG/HDL-c, and TyG-BMI was evaluated using Kaplan-Meier analysis and Cox regression models. A nomogram incorporating significant prognostic factors was constructed and validated.</p><p><strong>Results: </strong>A lower TyG, lower TG/HDL-c, and lower TyG-BMI were linked to worse overall survival (OS) in HCC patients. Multivariate analysis indicated the TyG index, but not the TG/HDL-c and TyG-BMI index, could independently predict HCC OS. The nomogram incorporating the TNM stage and TyG index demonstrated good calibration, discriminative ability, and clinical benefit for predicting OS in HCC patients.</p><p><strong>Conclusions: </strong>The TyG index could independently predict HCC OS after hepatectomy in this cohort. The nomogram incorporating the TyG index may aid in the prognosis management of HCC.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561194/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive analysis of single-cell and bulk RNA sequencing reveals postoperative progression markers for non-muscle invasive bladder cancer and predicts responses to immunotherapy.","authors":"Zhiliang Xiao, Xin Liu, Yuan Wang, Sicong Jiang, Yan Feng","doi":"10.1007/s12672-024-01548-2","DOIUrl":"10.1007/s12672-024-01548-2","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Non-muscle-invasive bladder cancer (NMIBC) is renowned for its high recurrence, invasiveness, and poor prognosis. Consequently, developing new biomarkers for risk assessment and investigating innovative therapeutic targets postoperative in NMIBC patients are crucial to aid in treatment planning.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Approaches: &lt;/strong&gt;Differential gene expression analysis was performed using multiple Gene Expression Omnibus (GEO) datasets to identify differentially expressed genes (DEGs) between NMIBC and normal tissue, as well as between NMIBC and muscle-invasive bladder cancer (MIBC). Functional enrichment analysis was conducted based on the DEGs identified. Subsequently, prognosis-related genes were selected using Kaplan-Meier (KM) analysis and Cox regression analysis. The Boruta algorithm was utilized to further screen for core DEGs related to postoperative progression in NMIBC based on the aforementioned prognosis-related genes. Single-cell and clinical correlation studies were performed to verify their expression across various stages of bladder cancer. To investigate the link between core genes and the immune microenvironment, single-sample gene set enrichment analysis (ssGSEA) was utilized, and Receiver Operating Characteristic (ROC) and KM analyses were performed to confirm predictive power for immune therapy outcomes. Machine learning (ML) models were constructed using the DepMap dataset to predict the efficacy of core gene inhibitors in treating bladder cancers. The prognostic performance of the core genes was evaluated using ROC curve analysis. An online prediction tool was developed based on the core genes to provide prognostic predictions. Finally, RT-qPCR, CCK-8, and Transwell assays were used to verify the pro-tumor effects of the GINS2 in bladder cancer.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 70 DEGs were identified, among which 11 prognostic genes were obtained through KM analysis, and an additional 8 prognostic genes were obtained through COX analysis. The Boruta algorithm selected AURKB, GINS2, and UHRF1 as the three core DEGs. Single-cell and clinical variable correlation analyses indicated that the core genes promoted the progression of bladder cancer. The analysis of immune infiltration revealed a strong positive association between the core genes and both activated CD4 T cells and Type 2 helper T cells. Two random forest (RF) models were constructed to effectively predict the treatment effect of bladder cancer after targeted inhibition of AURKB and GINS2. In addition, an online nomogram tool was developed to effectively predict the risk of postoperative progression in NMIBC patients undergoing TURBT. Finally, RT-qPCR, CCK8, and Transwell assays showed that GINS2 promoted the growth and progression of bladder cancer.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;AURKB, GINS2, and UHRF1 have the potential to enhance postoperative management of NMIBC patients undergoing transurethral resection of bladder t","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of survival nomograms for patients with anaplastic thyroid carcinoma: a SEER program-based study.","authors":"Xinming Chen, Pingwu Zhao, Yunsheng He, Kun Huang, Pan Zhao, Fengwan Liao, Yang Liu","doi":"10.1007/s12672-024-01537-5","DOIUrl":"10.1007/s12672-024-01537-5","url":null,"abstract":"<p><strong>Background: </strong>We aimed to study the prognostic risk factors affecting patients with anaplastic thyroid carcinoma (ATC), develop a clinical prognostic model, and assess patient survival outcomes.</p><p><strong>Methods: </strong>Patients with anaplastic thyroid carcinoma from 2000 to 2019 were selected from the Surveillance, Epidemiology, and End Results (SEER) Program to extract the clinical variables used for analysis. The dataset was divided into training (70%) and validation (30%) sets based on a 7:3 ratio. Univariate and LASSO regression analyses were performed on clinical variables from the training set to identify independent prognostic factors. Independent prognostic factors were determined by Univariate and lasso regression according to the clinical variables of the training set, and a nomogram model was established to construct a prognostic model based on the contribution degree of the predictors. The prognostic model was evaluated and internally verified by C-index, ROC curve and calibration curve.</p><p><strong>Results: </strong>A total of 713 ATC patients were included in the SEER database. LASSO regression results indicated that age, marital status, race, tumor size, whether the primary lesion was limited to the thyroid gland, surgery, radiotherapy and chemotherapy, were associated with overall survival(OS) prognosis of ATC, and were used to construct nomograms. In the training cohort, the OS nomogram's C-index was 0.708 (95% CI 0.672-0.745); in the internal validation cohort, the C-index was 0.677 (95% CI 0.620-0.735). ROC curves demonstrated that the OS nomogram exhibits excellent predictive accuracy and discriminative ability. Calibration curves indicated strong consistency between the OS nomogram's predicted survival rates and actual survival rates.</p><p><strong>Conclusions: </strong>We established a survival prediction model for ATC, which can assist clinicians in assessing patient prognosis and making personalized treatment decisions.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enrichment of cancer stem cell subpopulation alters the glycogene expression profile of colorectal cancer cells.","authors":"Jéssica de Andrade-da-Costa, Michelle de-Souza-Ferreira, Nathália Campos Dos Santos Touça, Annie Cristhine Moraes Sousa-Squiavinato, Sheila Coelho Soares-Lima, José Andrés Morgado-Díaz, Julio Cesar Madureira de-Freitas-Junior","doi":"10.1007/s12672-024-01536-6","DOIUrl":"10.1007/s12672-024-01536-6","url":null,"abstract":"<p><p>Colorectal cancer (CRC) has a high mortality rate, resulting from the processes of metastasis and disease recurrence. Cancer stem cells (CSCs) are believed to be crucial for both processes, as they ensure the maintenance of the tumor bulk, in addition to being intrinsically resistant to conventional therapies. Thus, the present study aimed to investigate glycobiomarkers in colorectal cancer stem cell subpopulations. For this purpose, a sphere formation assay was standardized for CACO-2 and HT-29 cell lines, which were monitored through gene expression analysis of five known CSC markers (CD24, CD44, ALDH1, LGR5, and PROM1). Compared to the parental condition (2D), a reduction in CD24 expression was seen in CACO-2, while in HT-29 an increase in the expression levels of ALDH1, LGR5, and PROM1 was observed. Regarding glycogenes, eight of them (ST3GAL1, OGT, OGA, MGAT5, GFAT1, GFAT2, B4GALT1 e B3GNT2) have had their expression monitored. An increase in B3GNT2, OGT, and OGA was observed in the HT-29 sphere condition. On the other hand, no change in the glycogenes expression was observed in CACO-2. In silico correlation analyses (CSCs markers versus glycogenes) using TCGA data from colon and rectum carcinoma samples showed a weak positive correlation between LGR5 vs OGA expression regardless of the sample location. In addition, an increase in the expression of LGR5, OGA, and OGT as well as a decrease in the expression of ALDH1 were observed in colon carcinoma samples when compared to the adjacent normal tissue. Interestingly, greater OGA expression resulted in both lower overall survival of colon carcinoma patients and lower disease-free survival of rectum carcinoma patients. Therefore, our data indicates that OGA expression correlates with CSC markers and directly impacts the survival of colorectal carcinoma patients.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557779/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Late side effects of testicular cancer and treatment: a comprehensive review.","authors":"M Raheel Khan, Patrice Kearney Sheehan, Ashley Bazin, Christine Leonard, Umair Aleem, Lynda Corrigan, Ray McDermott","doi":"10.1007/s12672-024-01549-1","DOIUrl":"10.1007/s12672-024-01549-1","url":null,"abstract":"<p><p>Testicular cancer is a rare solid organ tumour associated with high cure rates and young age at diagnosis, hence it has a sizeable cohort of survivors worldwide. As it is one of the earliest tumours to be cured, a lot of studies have highlighted the late side effects of cancer and its different treatment modalities including surgery, radiotherapy and chemotherapy. While we are trying to identify the population at higher risk of platinum based chemotherapy and reduce its exposure, cisplatin based regimes remain an important tool to cure testicular cancer. The list of late side effects include a number of fatal and morbid conditions including but not limited to the second malignant neoplasms, cardiovascular disease, hypogonadism, infertility, metabolic syndrome, chronic respiratory disease, renal insufficiency, hearing loss, peripheral neuropathy, infertility and psychological illnesses like stress and anxiety. These complications eventually result in compromised social and economic health as well as lower life expectancy compared to the normal population. This article provides a comprehensive review of the latest data regarding the late side effects in testicular cancer survivors. A review of these conditions can help us develop recommendations and guidelines to improve the morbidity and mortality in survivors of testicular cancer.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term outcomes and prognostic factors of short-course radiotherapy (SCRT) in rectal cancer: a monocentric retrospective study.","authors":"Giuseppe Facondo, Federico Belotti, Margherita Rotondi, Gianluca Vullo, Silvia Fiorelli, Stefano Mossa, Vitaliana De Sanctis, Mattia Falchetto Osti","doi":"10.1007/s12672-024-01529-5","DOIUrl":"10.1007/s12672-024-01529-5","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate efficacy and tolerance of short-course radiotherapy (SCRT) prior to possible chemotherapy (CHT) and surgery in 64 patients with locally advanced rectal cancer, in terms of acute and early late toxicity and survival outcomes with prognostic factors.</p><p><strong>Methods: </strong>Sixty-four patients affected by rectal tumor were treated from 2008 to 2023 radiation therapy, with a total dose of 25 Gy in 5 fractions. The Kaplan-Meier method was used to estimate the rates of overall survival (OS), cancer specific survival (CSS), local control (LC), disease free survival (DFS) and metastasis free survival (MFS). Univariate analysis for prognostic factors was performed with the log-rank test, and Cox proportional hazards regression was used to estimate hazard ratios. Toxicity assessment has been considered in acute and in early late for gastrointestinal (GI), genitourinary (GU) districts.</p><p><strong>Results: </strong>Median follow-up was 49.6 months. The median OS was 65 months with 1-year, 2-year and 5-year OS at 90.6%, 77.7% and 60% respectively. CSS at the 1-year, 2-year and 5-year was 98.3%, 96.2% and 86.2% respectively. LC at 1-year, 2-year and 5-year was 93.4%, 89.4% and 87.2% respectively. DFS at the 1-year, 2-year and 5-year was 93.4%, 89% and 87% respectively. The status of lymph nodes at diagnosis was a prognostic factor in term of LC and DFS. Acute GI toxicity was G1 in 10 (15.6%) patients. Five (7.8%) patients had a G1 acute GU toxicity. Fifteen (23.4%) patients developed chronic GI toxicities.</p><p><strong>Conclusions: </strong>SCRT is an effective treatment in patients with rectal cancer and provides good outcomes with very low rates of toxicity profile.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557790/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic significance and identification of m6A regulator genes and hub genes associated with m6A in breast cancer.","authors":"Longjie Xia, Runchun Huang, Yingxiong Huang, Huixian Huang, Yunxiang Luo, Yixuan Qin, Shaoliang Zhu, Fanbiao Kong, Weiwei Miao","doi":"10.1007/s12672-024-01521-z","DOIUrl":"10.1007/s12672-024-01521-z","url":null,"abstract":"<p><p>This research endeavors to investigate the functions of N6-methyladenosine (m6A) regulatory genes and key genes linked to m6A modifications within the context of breast cancer (BC). The objective is to identify a promising predictive biomarker related to m6A modifications and validate its significance in BC through experimental methodologies. Utilizing data from The Cancer Genome Atlas (TCGA) database, a model for predicting prognosis was developed. Key genes connected to m6A modifications were discerned using weighted gene co-expression network analysis (WGCNA) coupled with LASSO and Cox regression analyses, which were then utilized to construct a predictive model. The influence of ZNF260 within BC was probed experimentally. The predictive model formulated using m6A regulatory genes and key m6A-associated genes demonstrated the capability to categorize BC patients into distinct risk groups effectively (all P < 0.001). Clinical sample analyses revealed notably elevated expression levels of ZNF260 in hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR + /HER2-) BC tissues compared to adjacent non-tumor tissues (all P < 0.001). Reduction in ZNF260 expression was shown to inhibit the proliferation, clonogenicity, migration, and invasiveness of MCF-7 cells while concomitantly enhancing apoptosis (all P < 0.001).This investigation uniquely uncovered ZNF260 as a novel key gene, suggesting its potential utility as a predictive biomarker associated with m6A modifications specifically in HR + /HER2- BC.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554984/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circ_0001068 accelerates the development of ovarian cancer by promoting FXYD5 expression through inhibiting mir-149-5p activity.","authors":"Zhengqian Mou, Lingyan Ge, Saiya Ye, Zhiyong Gong","doi":"10.1007/s12672-024-01497-w","DOIUrl":"10.1007/s12672-024-01497-w","url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer (OC) is one of the common malignancies of the female reproductive organs. Microarray analysis shows that circ_0001068 is upregulated in OC patients, however, its carcinogenic effect on OC development has not yet been revealed.</p><p><strong>Methods: </strong>In this study, qRT-PCR and western blotting were used to determine the expression of circ_0001068, microRNA-149-5p (miR-149-5p) and domain containing ion transport regulator 5 (FXYD5). Clone formation was used to assess cell proliferation, and transwell assays were performed to analyze cell migration and invasion. Dual-luciferase reporter and pull down assays were used to verify the binding relationship between circ_0001068 and miR-149-5p or FXYD5. Mouse xenograft tumor formation was performed to validate the role of circ_0001068 in vivo.</p><p><strong>Results: </strong>We found that the expression levels of circ_0001068 and FXYD5 were significantly increased in OC tissues and cell lines. Circ_0001068 knockdown significantly inhibited cell proliferation, migration, invasion, glycolysis, and glutamine metabolism. Circ_0001068 directly interacted with miR-149-5p, and the introduction of miR-149-5p mimics in OC cells partially reversed circ_0001068 knockdown-mediated effects. MiR-149-5p directly interacted with the 3'untranslated region (3'UTR) of FXYD5, and FXYD5 overexpression partially counteracted circ_0001068 knockdown-mediated effects in OC cells. Circ_0001068 knockdown inhibited xenograft tumor growth in vivo.</p><p><strong>Conclusion: </strong>Our findings suggest that circ_0001068 promotes the malignant properties of OC cells by targeting the miR-149-5p/FXYD5 axis.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557794/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of a coagulation-related gene signature for predicting prognosis in recurrent glioma.","authors":"Ming Cao, Wenwen Zhang, Jie Chen, Yuchen Zhang","doi":"10.1007/s12672-024-01520-0","DOIUrl":"10.1007/s12672-024-01520-0","url":null,"abstract":"<p><strong>Background: </strong>Recurrent gliomas rapidly progress and have high mortality and poor prognosis in the central nervous system. Therefore, further investigation of prognostic and therapeutic markers is needed.</p><p><strong>Methods: </strong>The mRNA expression, clinical data, and coagulation-related genes (CRGs) associated with recurrent glioma were obtained and calculated from the Chinese Glioma Genome Atlas and Kyoto Encyclopedia of Genes and Genomes databases. The significant CRGs were calculated by Weighted gene co-expression network analysis and PPI network. A prediction model was constructed using the least absolute shrinkage and selection operator regression analysis. Recurrent gliomas were stratified into high and low-risk groups based on the median risk score (RS). The Kaplan-Meier curve was used to analyze the difference in overall survival (OS) between these groups, while the receiver operating characteristic (ROC) curve was used to evaluate the accuracy of the gene model at 1-, 3-, and 5-years. Clinical factors, including age, gender, MGMT methylation status, radiotherapy, chemotherapy, and RS, were included in the univariate and multivariate regression analysis. A prognostic nomogram and calibration curve were established based on these factors.</p><p><strong>Results: </strong>Overall, seven CRGs associated with the prognosis were identified, including BTK, ITGB1, GNAI3, CFH, LYN, CFI, and F3. OS and survival rates were lower in the high-risk group compared with the low-risk group. The ROC curve demonstrated the area under the curve values >0.65 at 1-, 3-, and 5-years, confirming the reliability of the prognostic model. The univariate regression analysis indicated that tumor grade (grades 2, 3, and 4), histopathology (GBM or not), chemotherapy, IDH mutation, and 1p19q co-deletion status were independent prognostic indicators. Univariate and multivariate regression analyses indicated that RS was an independent prognostic factor for patients with recurrent glioma. Immune analysis revealed low infiltration of resting dendritic cells and high expression of programmed death receptor 1 in the high-risk group.</p><p><strong>Conclusion: </strong>This study comprehensively investigated the correlation between CRGs and recurrent glioma prognosis, offering crucial insights for further research into glioma recurrence mechanisms and treatment strategies.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11555177/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression of the lncRNA TPT1-AS1 in lung squamous cell carcinoma and its prognostic value.","authors":"Lixin Yu, Zhenkui Zhang, Zhijian Wang, Fenghua Sun","doi":"10.1007/s12672-024-01470-7","DOIUrl":"10.1007/s12672-024-01470-7","url":null,"abstract":"<p><strong>Objective: </strong>Lung squamous cell carcinoma is typically associated with a poor prognosis, highlighting the need for a reliable prognostic marker. Given that the long noncoding RNA TPT1-AS1 has demonstrated aberrant expression in numerous cancers, the prognostic significance of TPT1-AS1 in LUSC was examined.</p><p><strong>Methods: </strong>The present study included 115 patients diagnosed with LUSC. The expression levels of TPT1-AS1 and miR-4726-5p in tissues and cells were assessed using RT-qPCR, while the correlation between TPT1-AS1 expression and clinicopathological features was analyzed through the chi-square test. Binding sites between TPT1-AS1 and miR-4726-5p were predicted using a database and confirmed via a dual-luciferase reporter assay. The Pearson correlation coefficients were calculated to determine the relationship between TPT1-AS1 and miR-4726-5p in tumor tissues. The impacts of TPT1-AS1 and miR-4726-5p on cells were evaluated through CCK-8 and Transwell assays.</p><p><strong>Results: </strong>TPT1-AS1 expression was found to be reduced, while miR-4726-5p expression was upregulated in LUSC tissues. Patients exhibiting low TPT1-AS1 expression experienced shorter overall survival. Moreover, TPT1-AS1 was identified as an independent prognostic factor. A dual luciferase reporter assay validated that TPT1-AS1-WT targeted and bound to miR-4726-5p. Additionally, an inverse correlation was observed between miR-4726-5p and TPT1-AS1 in tumors. Cell experiments indicated that the overexpression of TPT1-AS1 led to a decrease in miR-4726-5p expression, consequently inhibiting cell proliferation, migration, and invasion.</p><p><strong>Conclusion: </strong>TPT1-AS1 targets miR-4726-5p, and overexpression of TPT1-AS1 has the potential to serve as a prognostic marker for LUSC and can significantly influence LUSC progression.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554981/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}