Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection
Abstract Background To evaluate the prognostic role of the preoperative pan-immune-inflammation value (PIV) index in patients with oral squamous cell carcinoma (OSCC) after undergoing radical resection and to develop a prognostic prediction model for these patients. Methods A large cohort study was...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | BMC Oral Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12903-025-05477-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585371749187584 |
|---|---|
| author | Weihai Huang Yulan Lin Enling Xu Yanmei Ji Jing Wang Fengqiong Liu Fa Chen Yu Qiu Bin Shi Lisong Lin Baochang He |
| author_facet | Weihai Huang Yulan Lin Enling Xu Yanmei Ji Jing Wang Fengqiong Liu Fa Chen Yu Qiu Bin Shi Lisong Lin Baochang He |
| author_sort | Weihai Huang |
| collection | DOAJ |
| description | Abstract Background To evaluate the prognostic role of the preoperative pan-immune-inflammation value (PIV) index in patients with oral squamous cell carcinoma (OSCC) after undergoing radical resection and to develop a prognostic prediction model for these patients. Methods A large cohort study was conducted between January 2015 and March 2022. Univariate and multivariate Cox regression was used to assess the prognostic value of PIV, and propensity score matching (PSM) analysis was used to adjust for potential confounders. Randomized survival forest (RSF) was used to assess the relative importance of preoperative PIV in prognostic prediction. Finally, a Nomogram model was plotted to predict the prognosis of oral cancer patients. Results A total of 779 patients were enrolled and followed up (mean follow-up time 34.14 ± 24.39). High PIV was significantly associated with worse survival in OSCC patients (hazard ratio [HR] = 1.62, 95% confidence interval [CI]: 1.15–2.29, P = 0.006). The same trend was observed in PSM (HR = 1.55,95% CI: 1.03–2.23, P = 0.035). RSF showed that PIV ranked third in the importance ranking of all prognostic factors. The calibration curves indicated that the Nomogram model was superior in predicting the prognostic 1-, 3-, and 5-year survival of oral cancer patients. Conclusions PIV is an independent predictor of prognosis in patients with oral squamous cell carcinoma, and a column-line graphical model based on PIV can effectively predict prognosis. |
| format | Article |
| id | doaj-art-9ca68d73ce7c42f5bd94e78f49e5f6fa |
| institution | Kabale University |
| issn | 1472-6831 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj-art-9ca68d73ce7c42f5bd94e78f49e5f6fa2025-01-26T12:55:20ZengBMCBMC Oral Health1472-68312025-01-0125111010.1186/s12903-025-05477-6Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resectionWeihai Huang0Yulan Lin1Enling Xu2Yanmei Ji3Jing Wang4Fengqiong Liu5Fa Chen6Yu Qiu7Bin Shi8Lisong Lin9Baochang He10Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityLaboratory Center, School of Public Health, The Major Subject of Environment and Health of Fujian Key Universities, Fujian Medical UniversityDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityDepartment of Oral and Maxillofacial Surgery, Stomatology Center, The First Affiliated Hospital of Fujian Medical UniversityDepartment of Oral and Maxillofacial Surgery, Stomatology Center, The First Affiliated Hospital of Fujian Medical UniversityDepartment of Oral and Maxillofacial Surgery, Stomatology Center, The First Affiliated Hospital of Fujian Medical UniversityDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical UniversityAbstract Background To evaluate the prognostic role of the preoperative pan-immune-inflammation value (PIV) index in patients with oral squamous cell carcinoma (OSCC) after undergoing radical resection and to develop a prognostic prediction model for these patients. Methods A large cohort study was conducted between January 2015 and March 2022. Univariate and multivariate Cox regression was used to assess the prognostic value of PIV, and propensity score matching (PSM) analysis was used to adjust for potential confounders. Randomized survival forest (RSF) was used to assess the relative importance of preoperative PIV in prognostic prediction. Finally, a Nomogram model was plotted to predict the prognosis of oral cancer patients. Results A total of 779 patients were enrolled and followed up (mean follow-up time 34.14 ± 24.39). High PIV was significantly associated with worse survival in OSCC patients (hazard ratio [HR] = 1.62, 95% confidence interval [CI]: 1.15–2.29, P = 0.006). The same trend was observed in PSM (HR = 1.55,95% CI: 1.03–2.23, P = 0.035). RSF showed that PIV ranked third in the importance ranking of all prognostic factors. The calibration curves indicated that the Nomogram model was superior in predicting the prognostic 1-, 3-, and 5-year survival of oral cancer patients. Conclusions PIV is an independent predictor of prognosis in patients with oral squamous cell carcinoma, and a column-line graphical model based on PIV can effectively predict prognosis.https://doi.org/10.1186/s12903-025-05477-6PIVOral squamous cell carcinomaPrognosisNomogram |
| spellingShingle | Weihai Huang Yulan Lin Enling Xu Yanmei Ji Jing Wang Fengqiong Liu Fa Chen Yu Qiu Bin Shi Lisong Lin Baochang He Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection BMC Oral Health PIV Oral squamous cell carcinoma Prognosis Nomogram |
| title | Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection |
| title_full | Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection |
| title_fullStr | Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection |
| title_full_unstemmed | Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection |
| title_short | Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection |
| title_sort | predictive value of preoperative pan immune inflammation value index in the prognosis of oral cancer patients undergoing radical resection |
| topic | PIV Oral squamous cell carcinoma Prognosis Nomogram |
| url | https://doi.org/10.1186/s12903-025-05477-6 |
| work_keys_str_mv | AT weihaihuang predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT yulanlin predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT enlingxu predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT yanmeiji predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT jingwang predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT fengqiongliu predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT fachen predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT yuqiu predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT binshi predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT lisonglin predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection AT baochanghe predictivevalueofpreoperativepanimmuneinflammationvalueindexintheprognosisoforalcancerpatientsundergoingradicalresection |