Prospective study on factors affecting the prognosis of oral cancer in a Chinese population

Liu, Fengqiong; Chen, Fa; Huang, Jinsheng; Yan, Lingjun; Liu, Fangping; Wu, Jun; Qiu, Yu; Zheng, Xiaoyan; Zhang, Rongzhao; Lin, Lisong; He, Baochang

doi:10.18632/oncotarget.13842

Cited by 29 publications

(24 citation statements)

References 33 publications

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“…BMI is the main tool for nutritional status assessment in clinical. Multiple studies have demonstrated that a low BMI was an independent predictor of a poor prognosis in oral cancer [9,12]. Our study also confirmed that patients with BMI < 18.5 kg/m 2 had significantly worse prognosis.…”

Section: Discussionsupporting

confidence: 86%

“…Traditional nutritional indicators such as body mass index (BMI) and serum albumin (ALB) have been widely used in clinical to assess the nutritional status of the cancer patients and have been shown to be associated with the prognosis of a variety of tumors such as rectal cancer, head neck, oral cancer and gynecologic malignancies [9][10][11][12][13]. In addition to BMI and ALB, two comprehensive indicators prognostic nutritional index (PNI) which includes albumin and lymphocyte and nutritional risk index (NRI) which combines weight, height and serum albumin levels, have also been reported as simple but sensitive methods that can objectively assess the nutritional status of cancer patients and predict their prognosis in esophageal squamous cell carcinoma, liver cancer, lung cancer, and gastric cancer et al [11,[14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Nutritional assessment and prognosis of oral cancer patients: a large-scale prospective study

et al. 2020

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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.

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Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Nutritional assessment and prognosis of oral cancer patients: a large-scale prospective study

et al. 2020

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“…Tumor‐node‐metastasis (TNM) stage is a traditional indicator and widely used for predicting the prognosis of OSCC in routine clinical practice. Several previous studies demonstrated that other tumor‐related factors (such as tumor volume, differentiation, the depth of invasion, and so on) could also affect the survival of OSCC . In addition, various biomarkers in serum, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and prognostic nutritional index, have also been identified previously .…”

Section: Introductionmentioning

confidence: 96%

“…Several previous studies demonstrated that other tumor-related factors (such as tumor volume, differentiation, the depth of invasion, and so on) could also affect the survival of OSCC. 5,6 In addition, various biomarkers in serum, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and prognostic nutritional index, have also been identified previously. [7][8][9] However, a single factor has limited effect for accurately predicting cancer prognosis, and it is therefore essential to integrate several valuable indicators for a more precise prediction of OSCC prognosis.…”

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confidence: 98%

Three prognostic indexes as predictors of response to adjuvant chemoradiotherapy in patients with oral squamous cell carcinoma after radical surgery: A large‐scale prospective study

et al. 2018

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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.

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“…Tongue is considered as the most frequently affected site, followed by gingiva, buccal mucosa, floor of mouth, palate and lip, and occasionally found in retromolar area or other oral sites [ 2 ]. Furthermore, survival varies in relation to tumor sites in origin [ 3 ]. Thus, it is essential to assess site-specific risk factors for OSCC.…”

Section: Introductionmentioning

confidence: 99%

Differences in modifiable factors of oral squamous cell carcinoma in the upper and lower of oral fissure

et al. 2017

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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.

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Prospective study on factors affecting the prognosis of oral cancer in a Chinese population

Cited by 29 publications

References 33 publications

Nutritional assessment and prognosis of oral cancer patients: a large-scale prospective study

Nutritional assessment and prognosis of oral cancer patients: a large-scale prospective study

Three prognostic indexes as predictors of response to adjuvant chemoradiotherapy in patients with oral squamous cell carcinoma after radical surgery: A large‐scale prospective study

Differences in modifiable factors of oral squamous cell carcinoma in the upper and lower of oral fissure

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