PTTG and PBF Functionally Interact with p53 and Predict Overall Survival in Head and Neck Cancer.
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ABSTRACT:
SUBMITTER: Read ML
PROVIDER: S-EPMC6193540 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
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Project description:BackgroundHead and neck squamous cell carcinoma (HNSCC) is a common malignancy that emanates from the lips, mouth, paranasal sinuses, oropharynx, larynx, nasopharynx, and from other pharyngeal cancers. The availability of high-throughput expression data has made it possible to use global gene expression data to analyze the relationship between metabolic-related gene expression and clinical outcomes in HNSCC patients.MethodIn this study, we used RNA sequencing (RNA-seq) data from the cancer genome atlas (TCGA), with validation in the GEO dataset to profile the metabolic microenvironment and define potential biomarkers for metabolic therapy.ResultsWe extracted data for 529 patients and 327 metabolic genes (198 upregulated and 129 downregulated genes) in the TCGA database. Carbonic anhydrase 9 (CA9) and CA6 had the largest logFCs in the upregulated and downregulated genes, respectively. Our Cox regression model data showed 51 prognostic-related genes with lysocardiolipin acyltransferase 1 (LCLAT1) and choline dehydrogenase (CHDH) being associated with the highest risk (HR = 1.144, 95% CI = 1.044 ~ 1.251) and the lowest risk (HR = 0.580, 95% CI = 0.400 ~ 0.839) in HNSCC, respectively. We next used the ROC curve to evaluate whether the differentially expressed metabolic-related genes could serve as early predictors of HNSCC. The findings showed an AUC of 0.745 and 0.618 in the TCGA and GEO analysis, respectively. Besides, the ability for the genes to predict clinicopathological HNSCC status was analyzed and the data showed that the AUC for age, gender, grade, stage, T, M, and N was 0.520, 0.495, 0.568, 0.606, 0.577, 0.476, and 0.673, respectively, in the TCGA dataset. On the other hand, the AUC for age, gender, stage, T, M, N, smoking, and HPV16-pos was 0.599, 0.531, 0.622, 0.606, 0.616, 0.550, 0.614, 0.519, and 0.397, respectively, in the GEO dataset.ConclusionTaken together, our study unearths a novel metabolic gene signature for the prediction of HNSCC prognosis based on the TCGA dataset. Our signature might point out the metabolic microenvironment disorders and provides potential treatment targets and prognostic biomarkers.
| S-EPMC7787728 | biostudies-literature
Project description:A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations. Distributed learning is a technique, enabling training models on multicenter data without data leaving the hospitals ("privacy-preserving" distributed learning). This study tested feasibility of distributed learning of radiomics data for prediction of two year overall survival and HPV status in head and neck cancer (HNC) patients. Pretreatment CT images were collected from 1174 HNC patients in 6 different cohorts. 981 radiomic features were extracted using Z-Rad software implementation. Hierarchical clustering was performed to preselect features. Classification was done using logistic regression. In the validation dataset, the receiver operating characteristics (ROC) were compared between the models trained in the centralized and distributed manner. No difference in ROC was observed with respect to feature selection. The logistic regression coefficients were identical between the methods (absolute difference <10-7). In comparison of the full workflow (feature selection and classification), no significant difference in ROC was found between centralized and distributed models for both studied endpoints (DeLong p > 0.05). In conclusion, both feature selection and classification are feasible in a distributed manner using radiomics data, which opens new possibility for training more reliable radiomics models.
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Project description:Poor oral hygiene is an established risk factor of head and neck cancer (HNC); however, its role in the survival of HNC patients is unclear. This study evaluated the association between oral hygiene habits, including regular dental visits, frequency of tooth brushing, and use of dental floss, and the overall survival (OS) of HNC patients using interview data collected from 740 HNC patients. In addition, the interactions between oral hygiene and the polymorphisms of TLR2 and TLR4 on the OS of HNC patients were assessed. The analysis indicated that poor oral hygiene was significantly associated with poorer OS of HNC patients (hazard ratio (HR) = 1.38, 95% confidence interval (CI): 1.03-1.86). This association was modified by a single nucleotide polymorphism, rs11536889, of TLR4. A significant association between poor oral hygiene and worse survival of HNC was observed among those with the CG or CC genotype (HR = 2.32, 95% CI: 1.41-3.82) but not among those with the GG genotype (HR = 0.95, 95% CI: 0.65-1.40). Our results suggested that poor oral hygiene is not only a risk factor but may also be a prognostic factor of HNC.
| S-EPMC6488153 | biostudies-literature
Project description:ImportanceData are limited on the prognostic value of human papillomavirus (HPV) status for head and neck carcinoma subsites.ObjectiveTo determine whether HPV positivity at each head and neck subsite is associated with improved overall survival.Design, setting, and participantsThis retrospective population-based cohort study used the National Cancer Database to identify patients diagnosed with head and neck squamous cell carcinomas from January 1, 2010, to December 31, 2014. Patients were classified according to the location of their primary malignancy into 1 of the 6 main subsites of the upper aerodigestive tract: oral cavity, oropharynx, nasopharynx, hypopharynx, larynx, and sinonasal tract. Patients were also classified by their HPV status. Data collection for this study took place from January 1, 2010, to December 31, 2014. Data analysis was conducted from August 1, 2017, to September 30, 2017.Main outcomes and measuresThe difference in 5-year overall survival between patients with HPV-positive status and those with HPV-negative status in various head and neck carcinoma subsites; the role of HPV status in an unadjusted Cox multivariate regression model.ResultsOf the 175 223 total number of patients identified (129 634 [74.0%] male; 45 589 [26.0%] female; mean [SD] age, 63.1 [11.9] years), 133 273 (76.1%) were ineligible and 41 950 (23.9%) were included in the sample. This sample included 16 644 patients (39.7%) with HPV-positive tumors and 25 306 (60.3%) with HPV-negative tumors. Patients with an HPV-positive status were more likely to be younger, be white, be male, present with local T category tumors, and have poor differentiation on histologic examination. HPV-positive status was associated with survival at 4 tumor subsites: oral cavity (hazard ratio [HR], 0.76; 95% CI, 0.66-0.87), oropharynx (HR, 0.44; 95% CI, 0.41-0.47), hypopharynx (HR, 0.59; 95% CI, 0.45-0.77), and larynx (HR, 0.71; 95% CI, 0.59-0.85). The HPV status was the greatest factor in survival outcome between the HPV-positive and -negative cohorts at the oropharynx subsite (77.6% vs 50.7%; survival difference, 26.9%; 95% CI, 25.6%-28.2%) and hypopharynx subsites (52.2% vs 28.8%; survival difference, 23.4%; 95% CI, 17.5%-29.3%). For the nasopharynx (HR, 1.03; 95% CI, 0.75-1.42) and sinonasal tract (HR, 0.63; 95% CI, 0.39-1.01) subsites, HPV-positive status was not an independent prognostic factor.Conclusions and relevanceHuman papillomavirus positivity was associated with improved survival in 4 subsites (oropharynx, hypopharynx, oral cavity, and larynx), and the largest survival difference was noted in the oropharynx and hypopharynx subsites. In the nasopharynx and sinonasal tract subsites, HPV positivity had no association with overall survival. Given these results, routine testing for HPV at the oropharynx, hypopharynx, oral cavity, and larynx subsites may be warranted.
| S-EPMC6583856 | biostudies-literature
Project description:Gene expression signatures that are predictive of therapeutic response or prognosis are increasingly useful in clinical care; however, mechanistic (and intuitive) interpretation of expression arrays remains an unmet challenge. Additionally, there is surprisingly little gene overlap among distinct clinically validated expression signatures. These "causality challenges" hinder the adoption of signatures as compared to functionally well-characterized single gene biomarkers. To increase the utility of multi-gene signatures in survival studies, we developed a novel approach to generate "personal mechanism signatures" of molecular pathways and functions from gene expression arrays. FAIME, the Functional Analysis of Individual Microarray Expression, computes mechanism scores using rank-weighted gene expression of an individual sample. By comparing head and neck squamous cell carcinoma (HNSCC) samples with non-tumor control tissues, the precision and recall of deregulated FAIME-derived mechanisms of pathways and molecular functions are comparable to those produced by conventional cohort-wide methods (e.g. GSEA). The overlap of "Oncogenic FAIME Features of HNSCC" (statistically significant and differentially regulated FAIME-derived genesets representing GO functions or KEGG pathways derived from HNSCC tissue) among three distinct HNSCC datasets (pathways:46%, p<0.001) is more significant than the gene overlap (genes:4%). These Oncogenic FAIME Features of HNSCC can accurately discriminate tumors from control tissues in two additional HNSCC datasets (n?=?35 and 91, F-accuracy?=?100% and 97%, empirical p<0.001, area under the receiver operating characteristic curves?=?99% and 92%), and stratify recurrence-free survival in patients from two independent studies (p?=?0.0018 and p?=?0.032, log-rank). Previous approaches depending on group assignment of individual samples before selecting features or learning a classifier are limited by design to discrete-class prediction. In contrast, FAIME calculates mechanism profiles for individual patients without requiring group assignment in validation sets. FAIME is more amenable for clinical deployment since it translates the gene-level measurements of each given sample into pathways and molecular function profiles that can be applied to analyze continuous phenotypes in clinical outcome studies (e.g. survival time, tumor volume).
| S-EPMC3266878 | biostudies-literature
Project description:Background: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous tumor with a high incidence and poor prognosis. Therefore, effective predictive models are needed to evaluate patient outcomes and optimize treatment. Methods: Robust Rank Aggregation (RRA) method was used to identify highly robust differentially-expressed genes (DEGs) between HNSCC and normal tissue in 9 GEO and TCGA datasets. Univariate Cox regression analysis and Lasso Cox regression analysis were performed to identify DEGs related to the Overall survival (OS) and to construct a prognostic gene signature (HNSCCSig). External validation was performed using GSE65858 dataset. Moreover, comprehensive bioinformatics analyses were used to identify the association between HNSCCSig and tumor immune environment. Results: A total of 257 reliable DEGs were identified by differentially analysis result of TCGA and GSE65858 datasets. The HNSCCSig including 7 mRNAs (SLURP1, SCARA5, CLDN10, MYH11, CXCL13, HLF, and ITGA3) were developed and validated to identify high-risk group who had a worse OS than low-risk group in TCGA and GSE65858 datasets. Cox regression analysis showed that the HNSCCSig could independently predict OS in both the TCGA and the GSE65858 datasets. Further research demonstrated that the infiltration bundance of CD8 + T cells, B cells, neutrophils, and NK cells were significantly lower in the high-risk group. A nomogram was also constructed by combining the HNSCCSig and clinical characters. Conclusion: We established and validated the HNSCCSig consisting of SLURP1, SCARA5, CLDN10, MYH11, CXCL13, HLF, and ITGA3. A nomogram combining HNSCCSig and some clinical parameters was constructed to identify high-risk HNSCC-patients with poor prognosis.
| S-EPMC8498039 | biostudies-literature
Project description:The proto-oncogene PTTG and its binding partner PBF have been widely studied in multiple cancer types, particularly thyroid and colorectal, but their combined role in tumourigenesis is uncharacterised. Here, we show for the first time that together PTTG and PBF significantly modulate DNA damage response (DDR) genes, including p53 target genes, required to maintain genomic integrity in thyroid cells. Critically, DDR genes were extensively repressed in primary thyrocytes from a bitransgenic murine model (Bi-Tg) of thyroid-specific PBF and PTTG overexpression. Irradiation exposure to amplify p53 levels further induced significant repression of DDR genes in Bi-Tg thyrocytes (P=2.4 × 10-4) compared with either PBF- (P=1.5 × 10-3) or PTTG-expressing thyrocytes (P=NS). Consistent with this, genetic instability was greatest in Bi-Tg thyrocytes with a mean genetic instability (GI) index of 35.8±2.6%, as well as significant induction of gross chromosomal aberrations in thyroidal TPC-1 cells following overexpression of PBF and PTTG. We extended our findings to human thyroid cancer using TCGA data sets (n=322) and found striking correlations with PBF and PTTG expression in well-characterised DDR gene panel RNA-seq data. In addition, genetic associations and transient transfection identified PBF as a downstream target of the receptor tyrosine kinase-BRAF signalling pathway, emphasising a role for PBF as a novel component in a pathway well described to drive neoplastic growth. We also showed that overall survival (P=1.91 × 10-5) and disease-free survival (P=4.9 × 10-5) was poorer for TCGA patients with elevated tumoural PBF/PTTG expression and mutationally activated BRAF. Together our findings indicate that PBF and PTTG have a critical role in promoting thyroid cancer that is predictive of poorer patient outcome.
| S-EPMC5563453 | biostudies-literature
Project description:Importance:Patients with head and neck cancer receive care at academic comprehensive cancer programs (ACCPs), integrated network cancer programs (INCPs), comprehensive community cancer programs (CCCPs), and community cancer programs (CCPs). The type of treatment facility may be associated with overall survival. Objective:To examine whether type of treatment facility is associated with overall survival after a diagnosis of head and neck cancer. Design, Setting, and Participants:This population-based retrospective cohort study included patients from the National Cancer Database, a prospectively maintained, hospital-based cancer registry of patients treated at more than 1500 US hospitals. Participants were diagnosed with malignant tumors of the head and neck from January 1, 2004, through December 31, 2016. Data were analyzed from May 1 through November 30, 2019. Exposures:Treatment at facilities classified as ACCPs, INCPs, CCCPs, or CCPs. Main Outcomes and Measures:Overall survival after diagnosis and treatment of head and neck cancer was the primary outcome. The secondary outcome was the odds of receiving treatment at ACCPs and INCPs vs CCCPs and CCPs. Multivariable Cox proportional hazards regression and univariable and multivariable logistic regression models were used for analysis. Results:A total of 525?740 patients (368?821 men [70.2%]; mean [SD] age, 63.3 [14.0] years) were diagnosed with malignant tumors of the head and neck during the study period. Among them, 36?595 patients (7.0%) were treated at CCPs; 174?658 (33.2%), at CCCPs; 232?867 (44.3%), at ACCPs; and 57?857 (11.0%), at INCPs. The median survival for patients with aerodigestive cancers was 69.2 (95% CI, 68.6-69.8) months; salivary gland cancers, 107.2 (95% CI, 103.9-110.2) months; and skin cancers, 113.2 (95% CI, 111.4-114.6) months. Improved overall survival was associated with treatment at ACCPs (hazard ratio [HR], 0.89; 95% CI, 0.88-0.91), INCPs (HR, 0.94; 95% CI, 0.92-0.96), and CCCPs (HR, 0.94; 95% CI, 0.92-0.95) compared with CCPs. Compared with patients with private insurance, those with government insurance (odds ratio [OR], 1.35; 95% CI, 1.29-1.41), no insurance (OR, 1.12; 95% CI, 1.09-1.16), or Medicaid (OR, 1.17; 95% CI, 1.14-1.20) were more likely to receive treatment at ACCPs and INCPs, whereas patients with Medicare were less likely to receive treatment at ACCPs and INCPs (OR, 0.95; 95% CI, 0.94-0.97). Compared with white patients, black (OR, 1.55; 95% CI, 1.52-1.59) and Asian (OR, 1.56; 95% CI, 1.49-1.63) patients were more likely to receive care at ACCPs and INCPs. Compared with patients from lower-income areas, patients from high-income areas were more likely to receive treatment at ACCPs and INCPs (OR, 1.25; 95% CI, 1.22-1.28). Conclusions and Relevance:These findings suggest that treatment at ACCPs and INCPs was associated with a better overall survival rate in patients with head and neck cancer. Key social determinants of health such as race/ethnicity, socioeconomic status, and type of insurance were associated with receiving treatment at ACCPs and INCPs.
| S-EPMC6991286 | biostudies-literature
Project description:Human papillomavirus (HPV) is associated with the development of head and neck squamous cell carcinomas (HNSC). Cisplatin is used to treat HNSC and induces DNA adducts including interstrand crosslinks (ICLs). Previous reports have shown that HPV positive HNSC patients respond better to cisplatin therapy. Our previous reports highlight that loss of base excision repair (BER) and mismatch repair (MMR) results in cisplatin resistance. Of importance, uracil DNA glycosylase (UNG) is required to initiate the BER response to cisplatin treatment and maintain drug sensitivity. These previous results highlight that specific cytidine deaminases could play an important role in the cisplatin response by activating the BER pathway to mediate drug sensitivity. The APOBEC3 (A3) family of cytidine deaminases are enzymes that restrict HPV as part of the immune defense to viral infection. In this study, the Cancer Genome Atlas (TCGA) HNSC data were used to assess the association between the expression of the seven proteins in the A3 cytidine deaminase family, HPV-status and survival outcomes. Higher A3 G expression in HPV-positive tumors corresponds with better overall survival (OS) (HR 0.33, 95 % CI 0.11-0.93, p = 0.04). FaDu and Scc-25 HNSC cell lines were used to assess alterations in A3, BER and MMR expression in response to cisplatin. We demonstrate that A3, Pol?, and MSH6 knockdown in HNSC cells results in resistance to cisplatin and carboplatin as well as an increase in the rate of ICL removal in FaDu and Scc-25 HNSC cells. Our results suggest that A3s activate BER in HNSC, mediate repair of cisplatin ICLs and thereby, sensitize cells to cisplatin which likely contributes to the improved patient responses observed in HPV infected patients.
| S-EPMC7033022 | biostudies-literature
Project description:BackgroundHead and neck squamous cell carcinoma (HNSCC) is a common cancer characterized by late diagnosis and poor prognosis. The aim of this study was to identify a novel ferroptosis-related DNA methylation signature as an alternative diagnosis index for patients with HNSCC.MethodsMethylome and transcriptome data of 499 HNSCC patients, including 275 oral squamous cell carcinoma (OSCC) samples, were obtained from The Cancer Genome Atlas (TCGA). An additional independent methylation dataset of 50 OSCC patients from the NCBI Gene Expression Omnibus (GEO) database was used for validation. As an index of ferroptosis activity, the ferroptosis score (FS) of each patient was inferred from the transcriptome data using single-sample gene set enrichment analysis. Univariate, multivariate, and LASSO Cox regression analyses were used to select CpG sites for the construction of a ferroptosis-related DNA methylation signature for diagnosis of patients.ResultsWe initially inferred the FS of each TCGA HNSCC patient and divided the samples into high- and low-FS subgroups. Results showed that the high-FS subgroup displayed poor overall survival. Moreover, 378 differentially methylated CpG sites (DMCs) were identified between the two HNSCC subgroups, with 16 selected to construct a 16-DNA methylation signature for risk prediction in HNSCC patients using the LASSO and multivariate Cox regression models. Relative operating characteristic (ROC) curve analysis showed great predictive efficiency for 1-, 3-, and 5-year HNSCC survival using the 16-DNA methylation signature. Its predictive efficiency was also observed in OSCC patients from the TCGA and GEO databases. In addition, we found that the signature was associated with the fractions of immune types in the tumor immune microenvironment (TIME), suggesting potential interactions between ferroptosis and TIME in HNSCC progression.ConclusionsWe established a novel ferroptosis-related 16-DNA methylation signature that could be applied as an alternative tool to predict prognosis outcome in patients with HNSCC, including OSCC.
| S-EPMC8767683 | biostudies-literature