Prognostic significance of EGFR and Her-2 in oral cavity cancer in betel quid prevalent area cancer prognosis.
Ontology highlight
ABSTRACT:
SUBMITTER: Chen IH
PROVIDER: S-EPMC2376917 | biostudies-other | 2003 Aug
REPOSITORIES: biostudies-other
Similar Datasets
Project description:BackgroundThis study aimed to establish a simple predictive model for oropharyngeal cancer (OPC) in an area with a relatively low prevalence of human papillomavirus (HPV) and frequent betel nut chewing.MethodsA total of 116 patients with OPC were recruited from the clinical research database of a referral cancer center between 2013 and 2018. Patient characteristics-including age, gender, tumor stage, differentiation, and treatment modality-were extracted from the database. Patients diagnosed after 2018 were staged using the 7th AJCC staging system to explore the impact of extra-nodal tumor extension (ENE) on survival. Immunohistochemical analysis was performed for p16, epidermal growth factor receptor (EGFR), p53, and programmed cell death ligand 1 (PD-L1). ENE status was evaluated by pathological analysis or radiological features. Primary outcome was disease-specific overall survival (OS). Univariate and multivariate Cox regression were used to establish a predictive model.ResultsMean age was 57.3 ± 9.9 years; 103 patients (88.8%) were male. P16 positive OPC was positively associated with higher PD-L1 and a tonsillar sub-site and negatively associated with betel nut chewing and cigarette smoking. In Cox regression, age, p16 status, EGFR, cT4, ENE, and cigarette smoking were significantly associated with OS. In survival tree analysis, cT stage was the most important risk stratification parameter, followed by EGFR expression and p16 status. Patients with cT4 stage or high EGFR were classified as the high-risk group and had poorest OS.ConclusionsDue to the low prevalence of HPV and popularity of betel nut chewing in Asia, the relative importance of prognostic predictors for OPC are not identical to Western countries. Identification of significant prognostic biomarkers may improve treatment. Trial registration This study was registered and approved by the Institutional Review Board (IRB) of Kaohsiung Veterans General Hospital (VGHKS19-CT9-07; date of approval: Aug 9, 2019).
| S-EPMC10116661 | biostudies-literature
Project description:ImportanceThe association and interaction of host characteristics with prognosis in patients with oral cavity squamous cell carcinoma (OSCC) are poorly understood. There is increasing evidence that host characteristics are associated with treatment outcomes of many cancers.ObjectivesTo examine the host factors associated with prognosis in patients with OSCC and their interactions to create a numerical index that quantifies the prognostic capacity of these host characteristics.Design, setting, and participantsThis retrospective cohort study included patients with OSCC treated surgically at a tertiary care center from January 1, 1998, to December 31, 2015. From a departmental OSCC database of 1377 previously untreated patients, 68 patients with missing data on any host variable of interest within a month before the start of treatment were excluded, leaving 1309 patients. Data analysis was performed from October 21, 2019, to December 10, 2019.ExposurePrimary surgery for OSCC.Main outcomes and measuresOverall survival (OS) was the primary end point, and disease-specific survival (DSS) was the secondary end point. Optimal cutoffs for each variable were identified using recursive-partitioning analysis with the classification and regression tree method using OS as the dependent variable. Body mass index (BMI) and pretreatment peripheral blood leukocyte count, platelet count, hemoglobin level, and albumin level were analyzed. A host index (H-index) was developed using independent factors associated with OS.ResultsA total of 1309 patients (731 [55.8%] male; mean [SD] age, 62 [14.3] years) participated in the study. When including all the host-related factors in a multivariable analysis, all except BMI (hazard ratio [HR], 1.14; 95% CI, 0.80-1.63) were independently associated with outcomes. For example, compared with a hemoglobin level of 14.1 g/dL or greater, the HR for a level of 12.9 to 14.0 g/dL was 1.42 (95% CI, 1.13-1.77) and for a level of 12.8 g/dL or less was 1.51 (95% CI, 1.18-1.94), and compared with an albumin level of 4.3 g/dL or greater, the HR for a level of 3.7 to 4.2 g/dL was 1.18 (95% CI, 0.95-1.45) and for a level of 3.6 g/dL or less was 3.64 (95% CI, 2.37-5.58). An H-index of 1.4 or less was associated with a 74% 5-year OS, an H-index of 1.5 to 3.5 with a 65% 5-year OS, and an H-index of 3.6 or higher with a 38% 5-year OS; for DSS, the 5-year survival was 84%, 80%, and 64%, respectively. Compared with patients with an H-index score of 1.4 or less, patients with H-index scores of 1.5 to 3.5 (hazard ratio, 1.474; 95% CI, 1.208-1.798) and 3.6 or higher (hazard ratio, 3.221; 95% CI, 2.557-4.058) had a higher risk of death.Conclusions and relevanceThe findings suggest that pretreatment values of neutrophils, monocytes, lymphocytes, hemoglobin, and albumin are independently associated with prognosis in patients with OSCC. The interactions between these host factors were incorporated into a novel H-index that quantified the prognostic capacity of host characteristics associated with OSCC.
| S-EPMC7290709 | biostudies-literature
Project description:BackgroundPartial epithelial-mesenchymal transition (p-EMT) is a distinct clinicopathological feature prevalent in oral cavity tumors of The Cancer Genome Atlas. Located at the invasion front, p-EMT cells require additional support from the tumor stroma for collective cell migration, including track clearing, extracellular matrix remodeling and immune evasion. The pathological roles of otherwise nonmalignant cancer-associated fibroblasts (CAFs) in cancer progression are emerging.MethodsGene set enrichment analysis was used to reveal differentially enriched genes and molecular pathways in OC3 and TW2.6 xenograft tissues, representing mesenchymal and p-EMT tumors, respectively. R packages of genomic data science were executed for statistical evaluations and data visualization. Immunohistochemistry and Alcian blue staining were conducted to validate the bioinformatic results. Univariate and multivariate Cox proportional hazards models were performed to identify covariates significantly associated with overall survival in clinical datasets. Kaplan-Meier curves of estimated overall survival were compared for statistical difference using the log-rank test.ResultsCompared to mesenchymal OC3 cells, tumor stroma derived from p-EMT TW2.6 cells was significantly enriched in microvessel density, tumor-excluded macrophages, inflammatory CAFs, and extracellular hyaluronan deposition. By translating these results to clinical transcriptomic datasets of oral cancer specimens, including the Puram single-cell RNA-seq cohort comprising ~6000 cells, we identified the expression of stromal TGFBI and HYAL1 as independent poor and protective biomarkers, respectively, for 40 Taiwanese oral cancer tissues that were all derived from betel quid users. In The Cancer Genome Atlas, TGFBI was a poor marker not only for head and neck cancer but also for additional six cancer types and HYAL1 was a good indicator for four tumor cohorts, suggesting common stromal effects existing in different cancer types.ConclusionsAs the tumor stroma coevolves with cancer progression, the cellular origins of molecular markers identified from conventional whole tissue mRNA-based analyses should be cautiously interpreted. By incorporating disease-matched xenograft tissue and single-cell RNA-seq results, we suggested that TGFBI and HYAL1, primarily expressed by stromal CAFs and endothelial cells, respectively, could serve as robust prognostic biomarkers for oral cancer control.
| S-EPMC8637169 | biostudies-literature
Project description:The aim of this study was to explore the incidence and outcomes of patients with oral cavity squamous cell carcinoma (OSCC) and fourth primary tumors (PTs) in a betel-chewing endemic area.We retrospectively examined the records of 1836 OSCC patients who underwent radical tumor resection between 1996 and 2014. The outcome measures included the incidence and number of multiple PTs, the main risk factors, and their associations with overall survival (OS).Of the 1836 patients, 1400 (76.3%) had a single PT, 344 (18.7%) a second PT, 67 (3.6%) a third PT, and 25 (1.4%) a fourth PT. Univariate analyses (log-rank test) identified the following factors as significantly associated with a fourth PT: simultaneous first and second PTs, betel quid chewing, buccal subsite, and pT3-4 status. After allowance for the potential confounding effect of other risk factors, all of these factors retained their independent prognostic significance in stepwise multivariate analyses, the only exception being betel chewing. The incidences of second, third, and fourth PTs at 5 and 10 years were 20.2%/34.6%, 4.0%/8.6%, and 1.0%/2.3%, respectively. The 5 and 10-year OS rates (calculated from the diagnosis of each PTs) for patients with a single, second, third, and fourth PTs were 68%/61%, 43%/37%, 45%/39%%, and 30%/30%, respectively (P?<?0.0001). Among patients with a fourth PT, those who underwent radical surgery showed a significantly higher 3-year OS than those who did not (57% vs 13%; P?=?0.0442).Fourth PTs are rarely observed in OSCC patients in a betel quid-chewing endemic area. Long-term survival rates of patients treated with radical surgery seems acceptable, being 4-fold higher than their counterparts.
| S-EPMC4998365 | biostudies-literature
Project description:The psychoactive effects of using areca nut and its potential for dependence have been observed. However, the factors that create barriers to or promote chewing cessation are not well understood. This study aims to explore the behavioral changes of betel quid chewers who have been diagnosed with oral cancer within a transtheoretical model framework. Thirty oral cancer patients with betel quid chewing history were chosen for in-depth interviews. Qualitative content analysis was used to analyze the data and identify themes that described the behavioral changes of betel quid cessation. Our research showed that betel quid chewers with oral cancer typically experience four significant stages of behavior: pre-contemplation, contemplation, action, and maintenance. Each stage change was marked by specific characteristics. At first, chewers showed positive attitudes toward the psychoactive or social effects of betel quid. They then realized the negative effects of betel quid, such as dental or other physical problems. Some also realized that they were addicted to betel quid. When they decided to quit, most chewers reported going "cold turkey." Some chewers successfully quit betel quid and attributed it to willpower. Those quitting because of the loss of oral functions were unable to chew anymore, though some chewers had experienced a relapse. In the maintenance stage, ex-chewers reported overcoming their addiction; however, relapse was possible. In this study, those who quit betel quid because of oral cancer usually quit tobacco and alcohol as well, with a lesser chance of recurrence. As the maintenance of chewing betel quid is multifactorial, this study provides information for betel quid cessation and oral cancer prevention.
| S-EPMC6049897 | biostudies-literature
Project description:BackgroundAround 25% of oral cavity squamous cell carcinoma (OCSCC) are not controlled by the standard of care, but there is currently no validated biomarker to identify those patients. Our objective was to determine a robust biomarker for severe OCSCC, using a biology-driven strategy.Patients and methodsTumor and juxtatumor secretome were analyzed in a prospective discovery cohort of 37 OCSCC treated by primary surgery. Independent biomarker validation was performed by RTqPCR in a retrospective cohort of 145 patients with similar clinical features. An 18-gene signature (18 G) predictive of the response to PD-1 blockade was evaluated in the same cohort.ResultsAmong 29 deregulated molecules identified in a secretome analysis, including chemokines, cytokines, growth factors, and molecules related to tumor growth and tissue remodeling, only soluble MMP2 was a prognostic biomarker. In our validation cohort, high levels of MMP2 and CD276, and low levels of CXCL10 and STAT1 mRNA were associated with poor prognosis in univariate analysis (Kaplan-Meier). MMP2 (p = .001) and extra-nodal extension (ENE) (p = .006) were independent biomarkers of disease-specific survival (DSS) in multivariate analysis and defined prognostic groups with 5-year DSS ranging from 36% (MMP2highENE+) to 88% (MMP2lowENE-). The expression of 18 G was similar in the different prognostic groups, suggesting comparable responsiveness to anti-PD-1.ConclusionHigh levels of MMP2 were an independent and validated prognostic biomarker, surpassing other molecules of a large panel of the tumor and immune-related processes, which may be used to select poor prognosis patients for intensified neoadjuvant or adjuvant regimens.
| S-EPMC7466851 | biostudies-literature
Project description:Background and objectiveNodal metastasis is one of the strongest predictors of outcomes in oral cavity squamous cell carcinomas (OSCC). The aim was to analyze the interplay of nodal characteristics in OSCC prognosis.MethodsIn this retrospective cohort study we included OSCC patients treated with primary surgery including neck dissection between 2005 and 2015 (n = 619). Disease-specific survival (DSS) was the primary endpoint. Optimal cutoffs were identified using recursive-partitioning analysis (RPA). A novel characteristic-metastatic focus-to-lymph node size ratio (MLR)-was introduced. We compared the American Joint Committee on Cancer, Eighth Edition (AJCC8) pN categories to a new categorization.ResultsPatients with higher neutrophil-to-lymphocyte ratio had more adverse nodal characteristics. All nodal characteristics were significant predictors of DSS in univariable analysis. In multivariable analysis, only number of positive nodes and MLR remained significant. An RPA including all nodal covariates confirmed the results. Compared with AJCC8, our RPA categorization had better hazard discrimination (0.681 vs. 0.598), but poorer balance value (0.783 vs. 0.708).ConclusionPatients with higher neutrophil-to-lymphocyte ratio had more adverse nodal characteristics. Total number of metastatic lymph nodes is the strongest predictor of outcomes in OSCC. MLR is a more powerful predictor than metastatic lymph node size or metastatic focus size alone.
| S-EPMC7770005 | biostudies-literature
Project description:Background: Oral cancer is one of the most prevalent cancers worldwide. Despite that the oral cavity is easily accessible for clinical examinations, oral cancers are often not promptly diagnosed. Furthermore, to date no effective biomarkers are available for oral cancer. Therefore, there is an urgent need to identify novel biomarkers able to improve both diagnostic and prognostic strategies. In this context, the development of innovative high-throughput technologies for molecular and epigenetics analyses has generated a huge amount of data that may be used for the identification of new cancer biomarkers. Methods: In the present study, GEO DataSets and TCGA miRNA profiling datasets were analyzed in order to identify miRNAs with diagnostic and prognostic significance. Furthermore, several computational approaches were adopted to establish the functional roles of these miRNAs. Results: The analysis of datasets allowed for the identification of 11 miRNAs with a potential diagnostic role for oral cancer. Additionally, eight miRNAs associated with patients' prognosis were also identified; six miRNAs predictive of patients' overall survival (OS) and one, hsa-miR-let.7i-3p, associated with tumor recurrence. Conclusion: The integrated analysis of different miRNA expression datasets allows for the identification of a set of miRNAs that, after validation, may be used for the early detection of oral cancers.
| S-EPMC6562527 | biostudies-literature