This article has systematically sorted out and verified the name， origin， producing area， quality evaluation， harvesting and processing of Pruni Semen by consulting ancient materia medica， medical books， prescription books and modern literature， in order to provide a basis for the development of famous classical formulas containing Pruni Semen. The results showed that Pruni Semen， as a medicinal material， has been widely used in medical literature of past dynasties since it was collected in Shennong Bencaojing， and also included under the names such as Yuhe， Yuzi and Yuli， and aliases such as Jueli， Queli and Chexiali. The primordial plants mentioned in the past dynasties involve about 12 species of Rosaceae， but with Prunus humilis， P. japonica and P. glandulosa as mainstream varieties used in the past dynasties， while the 2020 edition of Chinese Pharmacopoeia stipulates that the basal plants are P. humilis， P. japonica and P. pedunculata. Most of the ancient records for the origin of Pruni Semen are found everywhere in high mountains， valleys and hills， modern literature records that its origin varies according to its base， for example， P. humilis and P. japonica are mainly produced in Hebei， eastern Inner Mongolia， Liaoning， Shandong and other regions of China， and P. pedunculata is mainly produced in Inner Mongolia. Modern literature summarizes its quality as faint yellow， full and fulfilling， neat and not broken， and non-oiling， and the small Pruni Semen is better than the big Pruni Semen. The ancient processing methods of Pruni Semen mainly include blanching and peeling， blanching and peeling followed by frying， and blanching and peeling followed by pounding， with the common feature of blanching and peeling. The successive editions of Chinese Pharmacopoeia stipulate that it should be pounded when used. Based on the results of the herbal textual research and the writing time of Bianzhenglu， and combined with the market survey of Pruni Semen， it is suggested that P. humilis or P. japonica should be used as the origin of Pruni Semen in Sanpiantang， and it is harvested when the fruits are ripe， the kernels are collected by removing the stones， and processed by blanching， peeling and pounding consulting the decoction method in the current edition of Chinese Pharmacopoeia.

Background The association between serum nickel (Ni) and oral cancer incidence is unclear and most of the previous studies were observational studies that did not control for confounding factors between groups. Objective To assess the correlation of serum Ni with oral cancer incidence based on propensity score matching (PSM) and inverse probability of treatment weighting (IPTW). Methods A cohort of 456 newly diagnosed oral cancer patients was recruited from the First Hospital of Fujian Medical University during November 2011 to May 2019, and residents ordered their health check-up in hospitals or local community health centers over the same period were selected as a control group, which included a total of 1410 participants. Serum Ni was evaluated by inductively coupled plasma mass spectrometry. Case-control pairs were selected using a 1:1 PSM (caliper value of 0.02), and the study subjects in the case group and control group were weighted for subsequent analysis by IPTW. The general characteristics of the study subjects were tested for equilibrium before and after matching by chi-square test and standardized mean difference (SMD). This was followed by exploring the potential nonlinear dose-response relationship between serum Ni and oral cancer using restricted cubic splines as well as analyzing the association between serum Ni and oral cancer incidence by conditional logistic regression and weighted logistic regression. Results After controlling for between-group covariates by PSM and IPTW, the dose-response curves demonstrated that the risk of developing oral cancer tended to decline and then increase with the increasing serum Ni level. The outcome of the analysis using PSM demonstrated that as compared to the control group, the risk of developing oral cancer in the 0.09-16.80 μg·L⁻¹ serum Ni group was negatively correlated with serum Ni level (OR=0.36, 95%CI: 0.24-0.54), whereas the risk of developing oral cancer in the >16.80 μg·L⁻¹ serum Ni group was positively correlated with serum Ni level (OR=5.43, 95%CI: 2.76-10.68). After applying IPTW, a negative association was found between the risk of oral cancer and serum Ni concentration within a serum Ni window ranging from 0.09 to 20.55 μg·L⁻¹ (OR=0.39, 95%CI: 0.29-0.52), while a positive association with an OR and 95%CI of 5.54 (3.62-8.49) for the Ni concentration > 20.55 μg·L⁻¹. Conclusion In this study, a J-shaped relationship between serum Ni concentration and the risk of developing oral cancer is found, which shows that high serum Ni concentration (>20.55 μg·L⁻¹) may be a risk factor for oral cancer.

Objective: To explore the association of TBX5 polymorphisms and environmental exposure index with susceptibility to oral cancer. Methods: A case-control study was conducted to collect 300 oral cancer patients hospitalized in the Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Fujian Medical University from September 2010 to December 2016. A total of 445 non-tumor patients were selected as the control group. Questionnaires were used to collect the information of all subjects and 5 ml peripheral blood was collected to detect single nucleotide polymorphisms (SNPs) of the rs10492336 locus of TBX5 gene. According to the environmental exposure index score, subjects were divided into two groups, low risk group (0-2.31) and high risk group (2.32-11.76). To analyze the association of TBX5 gene rs10492336 SNPs, environmental exposure index and oral cancer and its interactions. Results: The age of all subjects in the case group and control group were (56.19±13.10) years and (54.56±12.48) years old. Compared with CC genotype, the OR (95%CI) values of the co-dominant genetic model AC genotype and the dominant genetic model AC+AA genotype were 0.69 (0.49-0.98) and 0.70 (0.51-0.97), respectively. Compared with the low risk group, the OR (95%CI) risk of oral cancer in the high risk group was 3.72 (2.55-5.43). The results of gene-environment interaction analysis showed that compared with the group with CC genotype and high risk of environmental exposure index, the OR (95%CI) value of oral cancer in the group with AC+AA genotype and low risk of environmental exposure index was 0.18(0.10-0.31). Furthermore there was a multiplicative interaction between rs10492336 SNPs and environmental exposure index (β=-0.405, P<0.001). Conclusion This study suggests that the TBX5 gene rs10492336 SNPs and environmental exposure index were associated with oral cancer. And there was a multiplication interaction between rs10492336 SNPs and environmental exposure index.

Objective: To explore the relationship between selenium and the risk for oral cancer. Methods: We performed a case-control study in 325 cases of newly diagnosed primary oral cancer from the First Affiliated Hospital of Fujian Medical University and 650 controls from the same hospital and community. Unconditional logistic regression and stratification analyses were used to explore the association between selenium and oral cancer. Adjusted OR and corresponding 95%CI were calculated. The analyses on multiple interactions between selenium and smoking or drinking status, and fruit or fish intake frequencies were conducted. Results: The level of serum selenium was 112.42 (80.98-145.06) μg/L in the case group, which was lower than 164.85 (144.44-188.53) μg/L in control group, the difference was statistical significant (P<0.01). There was a negative correlation between serum selenium level and the risk for oral cancer regardless of smoking and drinking status, and fruits and fish intake frequencies (P<0.05). There were multiple interactions between serum selenium level and smoking or drinking status, and fruit and fish intakes. Conclusions The high level of serum selenium is a protective factor for the incidence of oral cancer, and serum selenium has multiple interactions with smoking or drinking status, and fruit and fish intakes. Therefore, reducing tobacco use and alcohol consumption and increasing the intakes of fruit and fish can reduce the risk for oral cancer to some extent.

Objective To explore the association of TBX 5 polymorphisms and environmental exposure index with susceptibility to oral cancer. Methods A case?control study was conducted to collect 300 oral cancer patients hospitalized in the Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Fujian Medical University from September 2010 to December 2016. A total of 445 non?tumor patients were selected as the control group. Questionnaires were used to collect the information of all subjects and 5 ml peripheral blood was collected to detect single nucleotide polymorphisms (SNPs) of the rs10492336 locus of TBX5 gene. According to the environmental exposure index score, subjects were divided into two groups, low risk group (0-2.31) and high risk group (2.32-11.76). To analyze the association of TBX5 gene rs10492336 SNPs, environmental exposure index and oral cancer and its interactions. Results The age of all subjects in the case group and control group were (56.19±13.10) years and (54.56± 12.48) years old. Compared with CC genotype, the OR (95%CI) values of the co?dominant genetic model AC genotype and the dominant genetic model AC+AA genotype were 0.69 (0.49-0.98) and 0.70 (0.51-0.97), respectively. Compared with the low risk group, the OR (95%CI) risk of oral cancer in the high risk group was 3.72 (2.55-5.43). The results of gene?environment interaction analysis showed that compared with the group with CC genotype and high risk of environmental exposure index, the OR (95%CI) value of oral cancer in the group with AC+AA genotype and low risk of environmental exposure index was 0.18(0.10-0.31). Furthermore there was a multiplicative interaction between rs10492336 SNPs and environmental exposure index (β=-0.405, P<0.001). Conclusion This study suggests that the TBX 5 gene rs10492336 SNPs and environmental exposure index were associated with oral cancer. And there was a multiplication interaction between rs10492336 SNPs and environmental exposure index.

Objective To explore the association of TBX 5 polymorphisms and environmental exposure index with susceptibility to oral cancer. Methods A case?control study was conducted to collect 300 oral cancer patients hospitalized in the Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Fujian Medical University from September 2010 to December 2016. A total of 445 non?tumor patients were selected as the control group. Questionnaires were used to collect the information of all subjects and 5 ml peripheral blood was collected to detect single nucleotide polymorphisms (SNPs) of the rs10492336 locus of TBX5 gene. According to the environmental exposure index score, subjects were divided into two groups, low risk group (0-2.31) and high risk group (2.32-11.76). To analyze the association of TBX5 gene rs10492336 SNPs, environmental exposure index and oral cancer and its interactions. Results The age of all subjects in the case group and control group were (56.19±13.10) years and (54.56± 12.48) years old. Compared with CC genotype, the OR (95%CI) values of the co?dominant genetic model AC genotype and the dominant genetic model AC+AA genotype were 0.69 (0.49-0.98) and 0.70 (0.51-0.97), respectively. Compared with the low risk group, the OR (95%CI) risk of oral cancer in the high risk group was 3.72 (2.55-5.43). The results of gene?environment interaction analysis showed that compared with the group with CC genotype and high risk of environmental exposure index, the OR (95%CI) value of oral cancer in the group with AC+AA genotype and low risk of environmental exposure index was 0.18(0.10-0.31). Furthermore there was a multiplicative interaction between rs10492336 SNPs and environmental exposure index (β=-0.405, P<0.001). Conclusion This study suggests that the TBX 5 gene rs10492336 SNPs and environmental exposure index were associated with oral cancer. And there was a multiplication interaction between rs10492336 SNPs and environmental exposure index.

Objective: To evaluate the influence of oral hygiene on risk of oral cancer in non-smoking and non-drinking women. Methods: From September 2010 to February 2016, 242 non-smoking and non-drinking female patients with pathologically confirmed oral cancer were recruited in a hospital of Fuzhou, and another 856 non-smoking and non-drinking healthy women from health examination center in the same hospital were selected as control group. Five oral hygiene related variables including the frequency of teeth brushing, number of teeth lost, poor prosthesis, regular dental visits and recurrent dental ulceration were used to develop oral hygiene index model. Unconditional logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (95%CI). The area under the receiver operating characteristic curve (AUROC) was used to evaluate the predictability of the oral hygiene index model. Multivariate logistic regression model was used to analyze the association between oral hygiene index and the incidence of oral cancer. Results: Teeth brushing <2 twice daily, teeth lost ≥5, poor prosthesis, no regular dental visits, recurrent dental ulceration were risk factors for the incidence of oral cancer in non-smoking and non-drinking women, the corresponding OR (95%CI) were 1.50 (1.08-2.09), 1.81 (1.15-2.85), 1.51 (1.03-2.23), 1.73 (1.15-2.59), 7.30 (4.00-13.30), respectively. The AUROC of the oral hygiene index model was 0.705 9, indicating a high predictability. Multivariate logistic regression showed that the oral hygiene index was associated with risk of oral cancer. The higher the score, the higher risk was observed. The corresponding OR (95%CI) of oral hygiene index scores (score 1, score 2, score 3, score 4-5) were 2.51 (0.84-7.53), 4.68 (1.59-13.71), 6.47 (2.18-19.25), 15.29 (5.08-45.99), respectively. Conclusion Oral hygiene could influence the incidence of oral cancer in non-smoking and non-drinking women, and oral hygiene index has a certain significance in assessing the combined effects of oral hygiene.

Objective: To investigate the effects between fish, seafood and pickled food intakes on oral squamous cell carcinoma (OSCC). Methods: A case-control study was carried out in Fujian area during September 2010 to December 2016, in which 604 newly diagnosed primary OSCC cases confirmed by pathological diagnosis were collected from hospital and 1 343 control subjects were enrolled from community and healthy hospital population. Demographic data, history of smoking drinking and tea drinking, oral hygiene status and dietary behaviors (fish, seafood and pickled food intakes) were collected by in-person interviews using a standard questionnaire.Using unconditional logistic regression to estimate adjusted odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to assess the effects of fish, seafood and pickled food intakes on OSCC. Analysis stratified by smoking, alcohol drinking and bad prosthesis to explore the possible difference in association between subgroups. Multiplicative interactions and additive interactions between fish and bad prosthesis, seafood and alcohol drinking, pickled food and bad prosthesis were assessed by unconditional logistic regression, relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (S). Results: The average age of case group and control group were separately (58.69±13.92) years old and (59.27±11.37) years old (χ²=4.75, P=0.191). The people whose fish and seafood intakes ≥3 times/week had the lower risk of OSCC, the adjusted OR (95%CI) values were 0.63 (0.52-0.77) and 0.51 (0.41-0.64); The stratified analysis indicated that the people having bad prosthesis had the lower risk of OSCC if they eating fish ≥3 times/week, and the adjusted OR (95%CI) values was 0.53 (0.39-0.71); the people having bad prosthesis had the higher risk of OSCC if they eating pickled food ≥3 times/week, the adjusted OR (95%CI) values was 1.37 (1.02-1.88). Regularly eating seafood can decrease the risk of OSCC for non-smokers, smokers, non-drinkers, drinkers, people without bad prosthesis and had bad prosthesis, the adjusted OR (95%CI) values were 0.49 (0.36-0.68), 0.52 (0.37-0.73), 0.41 (0.31-0.55), 0.77 (0.51-0.96), 0.49 (0.36-0.67), 0.59 (0.42-0.83). Crossover analysis showed fish and bad prosthesis exist multiplication interaction relationship (adjusted OR=0.66, 95%CI: 0.44-0.97) and additional interaction relationship (RERI=-0.81, 95%CI:-1.43--0.19; AP=-0.76, 95%CI:-1.35--0.17; S=0.08, 95%CI: 0.01-0.98); pickled food and bad prosthesis exist multiplication interaction relationship (adjusted OR=1.63, 95%CI: 1.06-2.51) and addition interaction relationship (RERI=0.65, 95%CI:0.08-1.22; AP=0.36, 95%CI:0.10-0.62; S=5.19, 95%CI:1.32-54.49). Conclusion Reducing the consumption of pickled food, quitting smoking and limiting alcohol consumption, and regularly eating fish and seafood can prevent the occurrence of OSCC.

Objective To explore the survival factors for oral squamous cell carcinoma (OSCC). Methods A total of 492 patients with OSCC were recruited from the First Affiliated Hospital of Fujian Medical University from June 2003 to December 2014. Then, 456 cases were included in the present study according to inclusion and exclusion criteria. Clinical and follow-up data were collected to evaluate survival factors of OSCC. Survival rates were calculated using the Kaplan-Meier method and compared using the Log-rank test. The Cox proportional hazards regression model was used to estimate the hazard ratio (HR) and 95% confidence intervals (CI) of survival factors. We also stratified by TNM Classification of Malignant Tumours stage and BMI to assess the association between treatments and OSCC outcomes. Results The age of the recruited patients was (57.89±11.61) years, and the proportions in TNM stagesⅠ,Ⅱ,Ⅲ, andⅣwere 14.0%(64), 23.7%(108), 16.1%(73) and 42.5%(194), respectively. The multivariate Cox regression indicated that the HR (95% CI) of the increase to mortality risk associated with stage T2-T3, T4(T1 as reference), stage N2-N3 (N0 as reference), poor-moderate differentiation, BMI<18.5 kg/m2 (compared with BMI 18.5-23.9 kg/m2), alcohol consumption≥20 g/d (compared with no alcohol) before treatment were 2.69 (1.21-5.95), 3.40 (1.54-7.53), 2.65 (1.17-6.00), 2.56 (1.39-4.71), 2.00 (1.15-3.50), 2.09 (1.11-3.93), and 1.68 (1.03-2.73), respectively. The stratification analysis demonstrated that, compared with surgery alone, surgery combined with radiotherapy reduced the mortality risk of stage Ⅲ-Ⅳ, HR (95% CI) 0.33 (0.12-0.93). Surgery combined with chemoradiotherapy reduced the mortality risk of OSCC with normal BMI, HR(95%CI) were 0.39 (0.17-0.87). Conclusions Clinical stage and histological grade are survival factors for patients with OSCC.

Objective To explore the survival factors for oral squamous cell carcinoma (OSCC). Methods A total of 492 patients with OSCC were recruited from the First Affiliated Hospital of Fujian Medical University from June 2003 to December 2014. Then, 456 cases were included in the present study according to inclusion and exclusion criteria. Clinical and follow-up data were collected to evaluate survival factors of OSCC. Survival rates were calculated using the Kaplan-Meier method and compared using the Log-rank test. The Cox proportional hazards regression model was used to estimate the hazard ratio (HR) and 95% confidence intervals (CI) of survival factors. We also stratified by TNM Classification of Malignant Tumours stage and BMI to assess the association between treatments and OSCC outcomes. Results The age of the recruited patients was (57.89±11.61) years, and the proportions in TNM stagesⅠ,Ⅱ,Ⅲ, andⅣwere 14.0%(64), 23.7%(108), 16.1%(73) and 42.5%(194), respectively. The multivariate Cox regression indicated that the HR (95% CI) of the increase to mortality risk associated with stage T2-T3, T4(T1 as reference), stage N2-N3 (N0 as reference), poor-moderate differentiation, BMI<18.5 kg/m2 (compared with BMI 18.5-23.9 kg/m2), alcohol consumption≥20 g/d (compared with no alcohol) before treatment were 2.69 (1.21-5.95), 3.40 (1.54-7.53), 2.65 (1.17-6.00), 2.56 (1.39-4.71), 2.00 (1.15-3.50), 2.09 (1.11-3.93), and 1.68 (1.03-2.73), respectively. The stratification analysis demonstrated that, compared with surgery alone, surgery combined with radiotherapy reduced the mortality risk of stage Ⅲ-Ⅳ, HR (95% CI) 0.33 (0.12-0.93). Surgery combined with chemoradiotherapy reduced the mortality risk of OSCC with normal BMI, HR(95%CI) were 0.39 (0.17-0.87). Conclusions Clinical stage and histological grade are survival factors for patients with OSCC.