Background: To evaluate and compare the prognostic performance of four nutritional indicators body mass index (BMI), serum albumin (ALB), prognostic nutritional index (PNI) and nutritional risk index (NRI) in oral cancer patients, and to predict the response to chemotherapy in patients with different nutritional status. Methods: This prospective study which involved 1395 oral cancer patients was conducted in Fujian, China from September 2007 to November 2018. The BMI, PNI and NRI were calculated according to the following formulas: BMI = weight / height 2 (kg/m 2), PNI = albumin (g/l) + 0.005 × lymphocyte (count/μl) and NRI = (1.519 × albumin, g/ l) + (41.7× present/ideal body weight), respectively. The univariate and multivariate Cox proportional hazards models were used to compare the prognostic value of BMI, ALB, PNI and NRI in overall survival (OS) in oral cancer. Results: Patients with BMI < 18.5 kg/m 2 (VS 18.5 kg/m 2 ≤ BMI < 24 kg/m 2) had a poor survival outcome (HR = 1.585; 95% CI: 1.207-2.082). ALB, PNI, NRI were inversely correlated with OS of oral cancer (HR = 0.716; 95% CI: 0.575-0.891; HR = 0.793; 95% CI: 0.633-0.992; HR = 0.588; 95% CI: 0.469-0.738, respectively). In addition, the prognostic predictive performance of NRI was superior to BMI or ALB or PNI. Interestingly, compared with patients with better nutritional status, chemotherapy was significantly associated with poorer OS in malnourished oral cancer patients. Conclusions: BMI, ALB, PNI and NRI are of prognostic value in patients with oral cancer and the prognostic performance of NRI was superior to BMI or ALB or PNI. Malnutrition (BMI < 18.5 kg/m 2 or ALB< 40 g/l or PNI < 49.3 or NRI < 97.5) could predict an unfavorable response to chemotherapy in oral cancer patients.

This preliminary study suggests that both serum excess and deficient levels of Cu or Zn were significant correlation with oral cancer risk, which may provide a new insight on the roles of serum Cu and Zn in oral cancer.

Background To develop and validate practical prognostic indexes (PIs) for predicting the prognosis and response to postoperative adjuvant therapy in patients with oral squamous cell carcinoma (OSCC). Methods A large cohort of 1071 OSCC patients were randomized to either training set (N = 708) or validation set (N = 363). Three types of PIs were developed according to the nomogram scores, β coefficients and excess hazard ratios, respectively. Restricted cubic spline was used to demonstrate the relationship between PIs and the risks of death. Results First, a nomogram was developed incorporating age at diagnosis, smoking status, clinical stage, tumor differentiation, lymph node status, comorbidity, and neutrophil to lymphocyte ratio levels. Then, three PIs were established with high survival predictive ability, and were superior to AJCC staging system (all P < .05). The risks of death were escalated continuously with the increasing number of PIs. Interestingly, adjuvant chemoradiotherapy was positively associated with poor overall survival in patients with low PIs, but exerted a beneficial effect on patients with high PIs. Conclusion Combined nomogram with further established PIs not only predicts the survival probability of OSCC patients, but also continuously quantifies the risk of death. High PIs could predict a beneficial response to adjuvant chemoradiotherapy, whereas low PIs indicate an unfavorable response.

BackgroundTo explore the effect of smoking and drinking on survival of patients with oral cancer by comparing the characteristics and survival of nonsmoking and nondrinking (NSND) patients in contrast to smoking and/or drinking (SD) patients.MethodsThis prospective study including 1165 patients with oral cancer was conducted in Fujian, China from January 2005 to January 2019. The patients were categorized to two groups, the NSND group and SD group. We compared overall survival and disease‐specific survival between the two groups using the Kaplan‐Meier method and Cox proportional hazards regression before and after propensity score matching (PSM) to explore the effect of smoking and drinking on the prognosis of patients with oral cancer.ResultsNSND patients accounted for 55.45% (646 patients) of all the patients with oral cancer. SD patients with oral cancer tended to be older and mainly are male (98.46%) and with more advanced disease status. There are trends toward both higher risk of all‐cause death (HR = 1.678; 95% CI: 1.086‐2.594) and oral cancer specific death (HR = 1.632; 95% CI: 1.044‐2.552) in SD patients with oral cancer before PSM. After PSM, the association is still significant, with adjusted HR of 1.897 (95% CI: 1.138‐3.165) for all‐cause death and adjusted HR of 1.764 (95% CI: 1.043‐2.983) for oral cancer‐specific death. Additionally, PSM can improve the HR value and result in a stronger association.ConclusionsSocial and clinical characteristics of NSND patients differed from SD patients with oral cancer. SD patients with oral cancer have higher all‐cause mortality and oral cancer‐specific mortality than NSND patients.

Background: Although previous studies have explored the associations of modifiable lifestyle factors with oral cancer risk, few studies integrated these factors and established predictive tools for oral cancer risk in different sexes.Methods: Using a case-control study design, a total of 978 oral cancer cases and 2646 healthy controls were recruited in this study. Nomograms were constructed according to significant factors in multivariable logistic regression. Risk scores were calculated based on the nomograms and quantified the risk of oral cancer using restricted cubic spline.Results: Multivariate analyses demonstrated that smoking, alcohol drinking, tea, intake of fish, seafood, vegetables, fruits, teeth loss, regular dental visits and repetitive dental ulcer were independent factors for male oral cancer. Passive smoking, age at first intercourse, cooking oil fumes exposure, tea, intake of beans, vegetables, fruits, teeth loss, regular dental visits and repetitive dental ulcer were associated with female oral cancer. Then, two nomograms were developed for predicting the probability of oral cancer in men and women with the C-index of 0.768 (95% CI: 0.723-0.813) and 0.700 (95% CI: 0.635-0.765), respectively. Restricted cubic splines graphically revealed the risk of oral cancer in individuals with different risk scores. Moreover, the risk escalated continuously with the increasing number of the risk scores among both sexes.Conclusions: Combining nomograms with risk scores developed in this study could precisely predict oral cancer occurrence and provide an accurate risk assessment.

The aim of this study was to explore differences in the effects of modifiable factors on oral squamous cell carcinoma (OSCC) occurring in the lower oral fissure (LOF) and upper oral fissure (UOF). We conducted a case-control study with 697 OSCC patients (119 UOF and 578 LOF) and 1910 frequency-matched controls in Fujian province, China. Data on demographic characteristics and possible modifiable factors was collected using a structured questionnaire. Unconditional logistic regression was utilized to calculate the odds ratios (ORs) and corresponding 95% confidence intervals (CIs). Alcohol drinking was more strongly associated with an increased risk of OSCC-LOF than OSCC-UOF. Tobacco smoking, the number of teeth lost ≥5, wearing denture, and recurrent oral ulceration showed similarly associations with OSCC-LOF and -UOF risk. Similarly, the beneficial effects of tea consumption, tooth-brushing ≥2times per day, high intake of fresh fish, seafood, green-leafy vegetables, other vegetables and fruits were not significantly different on OSCC-LOF and -UOF. Although most of the modifiable factors exert similar effects on both OSCC sites, this study suggests that the sites of oral cavity in LOF may be affected more by alcohol drinking than the sites in UOF. Further studies with larger samples are warranted to confirm our findings.

Background: The aim of the study was to elucidate the relationship between systemic inflammation response index (SIRI) and the prognosis of postoperative oral squamous cell carcinoma (OSCC) patients. Methods: The prognostic value of SIRI was evaluated in a prospective cohort consisting of 535 OSCC patients with surgical resection. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) analyses were used to further verify the prognostic value of SIRI. Results: Patients with a higher SIRI had a significantly increased risk of mortality compared with those with a low SIRI (HR [hazard ratio]: 1.60, 95% CI [confidence interval]: 1.04-2.47). The similar association pattern was observed following PSM (HR: 1.97, 95% CI: 1.14-3.40) and IPTW (HR: 1.70, 95% CI: 1.29-2.24) analyses. Of note, receiving postoperative chemotherapy resulted in a 72% of decreased risk of death among patients with a higher SIRI (HR: 0.28, 95% CI: 0.08-0.95). Additionally, a novel prognostic nomogram, based on TNM stage, tumor differentiation, and SIRI, demonstrated superior accuracy for the prediction of overall survival than that of the seventh edition of the AJCC staging system. Conclusion: Preoperative SIRI may be a valuable tool for prediction of survival of OSCC patients. Jing Lin and Lin Chen contributed equally to this work.

Genetic variations of NF‐κB and its inhibitor IκB genes and their biological mechanism in oral cancer were not well recognized. The purpose of this study was to evaluate the associations of polymorphisms in NFKB1 and NFKBIA with oral cancer susceptibility, and further explore their potential mechanism in vitro. First, the polymorphisms of NFKB1 and NFKBIA were genotyped through iPLEX Sequenom MassARRAY platform in a case–control study with 425 oral cancer patients and 485 healthy controls. Then, the function was explored by a luciferase reporter assay and an electrophoretic mobility shift assay (EMSA) in human tongue squamous cell carcinoma cell lines. The results indicated that NFKB1 rs28362491 Del/Del and rs72696119 G/G genotypes were associated with the risk of oral cancer, with a strong linkage disequilibrium (D′ = 0.991, r 2 = 0.971). Moreover, DG haplotype of NFKB1 also showed a significant increased risk (OR = 1.25, 95% CI: 1.02–1.53, P = 0.030). Dual‐luciferase reporter assays further revealed that the plasmids with DG or IG or DC haplotype transfected with Tca‐8113 cells or CAL‐27 cells had a lower luciferase expression than that with IC haplotype. EMSA demonstrated that 4‐bp ATTG deletion in the promoter of NFKB1 abolished the binding site of transcription factor. Our preliminary findings suggest that the haplotype of rs28362491 and rs72696119 in NFKB1 could act as a novel genetic marker to predict oral cancer risk in the southeast of China, but much more extensive researches still need to be conducted.