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Ye M, Zhang L. Correlation of Prognostic Nutritional Index and Systemic Immune-Inflammation Index with the Recurrence and Prognosis in Oral Squamous Cell Carcinoma with the Stage of III/IV. Int J Gen Med 2024; 17:2289-2297. [PMID: 38799199 PMCID: PMC11122246 DOI: 10.2147/ijgm.s458666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/08/2024] [Indexed: 05/29/2024] Open
Abstract
Introduction This study aimed to explore the correlation of systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) with the recurrence and prognosis in patients with advanced oral squamous cell carcinoma (OSCC). Methods A total of 298 OSCC patients with the stage of III/IV were finally included in the study. SII = neutrophil count (109/L) × platelet count (109/L)/lymphocyte count (109/L). PNI = serum albumin (g/L) + 5 × total lymphocyte count (109/L). Results High preoperative SII and low preoperative PNI were independent risk factors for tumor recurrence in OSCC patients of the stage of III/IV. The area under the curves (AUC) for SII was 0.69 (0.63 to 0.76), for PNI was 0.72 (0.67 to 0.78), and for joint model was 0.81 (0.76 to 0.85). Patients with low level of joint model had significantly higher overall survival rate for 5 years follow-up than those with high level. Discussion Both preoperative SII and PNI are valuable independent tumor recurrence prediction index in patients with advanced OSCC. Meanwhile, the combination of preoperative SII and PNI is also valuable on OSCC recurrence and prognosis prediction.
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Affiliation(s)
- Manjun Ye
- Department of Oral Surgery, Daqing Oilfield General Hospital, Daqing, Heilongjiang, 163000, People’s Republic of China
| | - Lixia Zhang
- Department of Oral Surgery, Daqing Oilfield General Hospital, Daqing, Heilongjiang, 163000, People’s Republic of China
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Irigaray MMM, Santana LF, Pott A, do Nascimento VA, de Cássia Avellaneda Guimarães R, de Souza AS, de Cássia Freitas K. Nutritional Prognosis of Patients Submitted to Radiotherapy and Its Implications in Treatment. Nutrients 2024; 16:1363. [PMID: 38732610 PMCID: PMC11085617 DOI: 10.3390/nu16091363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 03/01/2024] [Accepted: 03/12/2024] [Indexed: 05/13/2024] Open
Abstract
Oncological patients show intense catabolic activity, as well as a susceptibility to higher nutritional risk and clinical complications. Thus, tools are used for monitoring prognosis. Our objective was to analyze the nutrition prognosis of patients who underwent radiotherapy, correlating it with outcomes and complications. We performed a retrospective transversal study based on secondary data from hospital records of patients who started radiotherapy between July 2022 and July 2023. We established Prognostic Scores through a combination of Prognostic Nutritional Index (PNI) and a Subjective Global Assessment (SGA), assessed at the beginning and end of treatment. Score 3 patients, with PNI ≤ 45.56 and an SGA outcome of malnutrition, initially presented a higher occurrence of odynophagia, later also being indicative of reduced diet volume, treatment interruption, and dysphagia. SGA alone showed sensitivity to altered diet volume, dysphagia, and xerostomia in the second assessment. Besides this, PNI ≤ 45.56 also indicated the use of alternative feeding routes, treatment interruption, and hospital discharge with more complications. We conclude that the scores could be used to indicate complications; however, further studies on combined biomarkers are necessary.
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Affiliation(s)
- Mariana Maroso Molina Irigaray
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; (V.A.d.N.); (R.d.C.A.G.); (A.S.d.S.); (K.d.C.F.)
| | | | - Arnildo Pott
- Laboratory of Botany, Institute of Biociências, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil;
| | - Valter Aragão do Nascimento
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; (V.A.d.N.); (R.d.C.A.G.); (A.S.d.S.); (K.d.C.F.)
| | - Rita de Cássia Avellaneda Guimarães
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; (V.A.d.N.); (R.d.C.A.G.); (A.S.d.S.); (K.d.C.F.)
| | - Albert Schiaveto de Souza
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; (V.A.d.N.); (R.d.C.A.G.); (A.S.d.S.); (K.d.C.F.)
| | - Karine de Cássia Freitas
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; (V.A.d.N.); (R.d.C.A.G.); (A.S.d.S.); (K.d.C.F.)
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Li Y, Fei Y. The predictive value of serum NLR, SII, and OPNI for lymph node metastasis in breast cancer patients with internal mammary lymph nodes after thoracoscopic surgery. Open Life Sci 2024; 19:20220763. [PMID: 38585638 PMCID: PMC10998678 DOI: 10.1515/biol-2022-0763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/20/2023] [Accepted: 10/05/2023] [Indexed: 04/09/2024] Open
Abstract
In this research, we delved into the predictive potential of three key markers - the neutrophil-to-lymphocyte ratio (NLR), systemic immune inflammation index (SII), and Onodera's prognostic nutritional index (OPNI), in assessing lymph node metastases in breast cancer patients who had internal mammary lymph node involvement following thoracoscopic surgery. Our study revealed notable pathological distinctions between the groups with and without metastases, while age, tumor size, and histological grade exhibited no significant differences. The analysis unveiled statistically significant variances in NLR, SII, and OPNI when comparing these two groups. Multivariate analysis pinpointed NLR (OR = 1.503), SII (OR = 1.987), and OPNI (OR = 0.612) as robust predictors of lymph node metastases. Remarkably, combining these markers (AUC: 0.897) substantially enhanced the precision of predicting lymph node metastases compared to individual measurements (NLR: 0.749, SII: 0.717, and OPNI: 0.787). In conclusion, this study underscores the pivotal role of NLR, SII, and OPNI in predicting lymph node metastasis among breast cancer patients with internal mammary lymph node involvement post-thoracoscopic surgery, affirming our utility as reliable independent predictors of this critical clinical outcome.
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Affiliation(s)
- Yang Li
- Department of General Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yang Fei
- Department of General Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
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4
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Yao J, Xu X, Gong K, Tu H, Xu Z, Ye S, Yu X, Lan Y, Weng H, Shi Y. Prognostic value of neutrophil count to albumin ratio in patients with decompensated cirrhosis. Sci Rep 2023; 13:20759. [PMID: 38007536 PMCID: PMC10676395 DOI: 10.1038/s41598-023-44842-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 10/12/2023] [Indexed: 11/27/2023] Open
Abstract
Our study aimed to investigate the prognostic value of neutrophil count to albumin ratio (NAR) in predicting short-term mortality of patients with decompensated cirrhosis (DC). A total of 623 DC patients were recruited from a retrospective observational cohort study. They were admitted to our hospital from January 2014 to December 2015. NAR of each patient was calculated and analyzed for the association with 90-day liver transplantation-free (LT-free) outcome. The performance of NAR and the integrated model were tested by a receiver-operator curve (ROC) and C-index. The 90-day LT-free mortality of patients with DC was 10.6%. NAR was significantly higher in 90-day non-survivors than in survivors (The median: 1.73 vs 0.76, P < 0.001). A threshold of 1.40 of NAR differentiated patients with a high risk of death (27.45%) from those with a low risk (5.11%). By multivariate analysis, high NAR was independently associated with poor short-term prognosis (high group: 5.07 (2.78, 9.22)). NAR alone had an area under the ROC curve of 0.794 and C-index of 0.7789 (0.7287, 0.8291) in predicting 90-day mortality. The integrated MELD-NAR (iMELD) model had a higher area under the ROC (0.872) and C-index (0.8558 (0.8122, 0.8994)) than the original MELD in predicting 90-day mortality. NAR can be used as an independent predictor of poor outcomes for patients with DC during short-term follow-up.
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Affiliation(s)
- Junjie Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Xianbin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Kai Gong
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Huilan Tu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Zhaoyu Xu
- Bethune Third Clinical Medical College, Jilin University, Changchun, 132000, Jilin, China
| | - Shaoheng Ye
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Yan Lan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Haoda Weng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China.
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5
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Shen Z, Zhang S, Chen X, Zhang Q, Jiao Y, Shi Y, Zhang H, Ye J, Wang L, Zhu T, Miao Y, Wang L, Cai G, Sang W. Prognostic value of prognostic nutritional index on extranodal natural killer/T-cell lymphoma patients: A multicenter propensity score matched analysis of 1022 cases in Huaihai Lymphoma Working Group. Hematol Oncol 2023; 41:380-388. [PMID: 36680513 DOI: 10.1002/hon.3124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/21/2022] [Accepted: 01/16/2023] [Indexed: 01/22/2023]
Abstract
Prognostic nutritional index (PNI), comprised of serum albumin level and lymphocyte count, is associated with the prognosis of several malignant diseases, while the prognostic value of PNI in extranodal natural killer/T cell lymphoma, nasal type (ENKTL) remains unclear. This retrospective multicenter study aimed to investigate the value of PNI in predicting the prognosis of newly diagnosed ENKTL patients by using propensity score matched analysis (PSM). A total of 1022 newly diagnosed ENKTL patients were retrieved from Huaihai Lymphoma Working Group and clinicopathological variables were collected. MaxStat analysis was used to calculate the optimal cut-off points of PNI and other continuous variables. The median age at diagnosis was 47 years and 69.4% were males, with the 5-year OS of 71.7%. According to the MaxStat analysis, 41 was the optimal cut-off point for PNI. The Pseudo R2 before matching was 0.250, and it decreased to less than 0.019 after matching. Confounding factors of the two groups were well balanced after PSM. Multivariable analysis revealed that PNI, Korean Prognostic Index (KPI), eastern cooperative oncology group performance status (ECOG PS), the prognostic index of natural killer lymphoma (PINK) and hemoglobin were independent prognostic factors for ENKTL. The results of subgroup analysis demonstrated that patients with low PNI could predict worse prognosis and re-stratify patients in ECOG PS ≥ 2, EBER-positive, the International Prognostic Index (IPI) (HIR + HR), and PINK (HR) groups. PNI combined with IPI, PINK and KPI could improve the prediction efficiency. In conclusion, PNI could accurately stratify the prognosis of ENKTL by PSM analysis and patients with low PNI had poorer prognosis.
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Affiliation(s)
- Ziyuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Shuo Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xicheng Chen
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qing Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yaxue Jiao
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yuye Shi
- Department of Hematology, The First People's Hospital of Huaian, Huaian, Jiangsu, China
| | - Hao Zhang
- Department of Hematology, The Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Jingjing Ye
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Ling Wang
- Department of Hematology, Taian Central Hospital, Taian, Shandong, China
| | - Taigang Zhu
- Department of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, Anhui, China
| | - Yuqing Miao
- Department of Hematology, Yancheng First People's Hospital, Yancheng, Jiangsu, China
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Guoqi Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Wei Sang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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6
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Dai M, Sun Q. Prognostic and clinicopathological significance of prognostic nutritional index (PNI) in patients with oral cancer: a meta-analysis. Aging (Albany NY) 2023; 15:1615-1627. [PMID: 36897190 PMCID: PMC10042682 DOI: 10.18632/aging.204576] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 02/13/2023] [Indexed: 03/09/2023]
Abstract
Accumulating literature has explored how prognostically significant the prognostic nutritional index (PNI) was for the oral carcinoma population, but with inconsistent findings. Therefore, we retrieved the most recent data and carried out this meta-analysis to comprehensively analyze the prognostic performance of pretreatment PNI in oral cancer. The electronic databases of PubMed, Embase, China National Knowledge Infrastructure (CNKI), Cochrane Library and Web of Science were fully retrieved. PNI's prognostic value for survival outcomes in oral carcinoma was assessed by estimating pooled hazard ratios (HRs) plus 95% confidence intervals (CIs). We examined the correlation of PNI with clinicopathological traits of oral carcinoma by utilizing the pooled odds ratios (ORs) plus 95% CIs. According to the pooled results of the present meta-analysis, which enrolled 10 studies involving 3,130 patients, for oral carcinoma suffers whose PNI was low, their disease-free survival (DFS) (HR=1.92, 95%CI=1.53-2.42, p<0.001) and overall survival (OS) (HR=2.44, 95%CI=1.45-4.12, p=0.001) would be inferior. Nonetheless, cancer-specific survival (CSS) was not linked significantly to PNI for the oral carcinoma population (HR=1.89, 95%CI=0.61-5.84, p=0.267). Significant associations of low PNI with TNM stages III-IV (OR=2.16, 95%CI=1.60-2.91, p<0.001) and age ≥ 65 years (OR=2.29, 95%CI=1.76-2.98, p<0.001) were found. As suggested by the present meta-analysis, a low PNI was linked to inferior DFS and OS among oral carcinoma patients. Oral cancer patients with low PNI may have high-risk of tumor progression. PNI could be served as a promising and effective index to predict prognosis in patients with oral cancer.
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Affiliation(s)
- Menglu Dai
- Clinical Laboratory, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou 313000, Zhejiang, China
| | - Qijun Sun
- Stomatology Therapeutic Center, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou 313000, Zhejiang, China
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7
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Yoshimura T, Suzuki H, Takayama H, Higashi S, Hirano Y, Tezuka M, Ishida T, Ishihata K, Amitani M, Amitani H, Nishi Y, Nakamura Y, Imamura Y, Nozoe E, Inui A, Nakamura N. Prognostic value of inflammatory biomarkers in aged patients with oral squamous cell carcinoma. Front Pharmacol 2022; 13:996757. [PMID: 36479205 PMCID: PMC9719958 DOI: 10.3389/fphar.2022.996757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/04/2022] [Indexed: 08/01/2023] Open
Abstract
Background: Better prognostic biomarkers for oral squamous cell carcinoma (OSCC) must be developed, particularly within the realm of clinically and frequently administered tests, to advise appropriate clinical therapy and follow-up. In this study, we retrospectively investigated which of the several inflammation-nutrition indicators might predict the prognosis of patients with OSCC. Methods: The preoperative neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), CRP-albumin ratio (CAR), Glasgow prognostic score (GPS), modified GPS (mGPS), prognostic nutritional index (PNI), controlling nutrition status (CONUT), and modified CONUT (mCONUT) were retrospectively evaluated using blood samples collected 1-5 days before surgery. To estimate the effect on the prognosis of tumor progression, the mean values of the markers between stages I/II and III/IV were used for subgroup analysis. The multivariate Cox proportional hazards model included all independent variables significantly associated with survival in the univariate analysis to determine the independent variables. Results: A total of 112 patients (69 males and 43 females) with primary OSCC who underwent surgical treatment at our hospital were included. There were statistically significant differences in the mean values of monocytes, platelets, and albumin between stages I/II and III/IV. According to the multivariate Cox proportional hazards regression, a low PNI was associated with shorter overall survival (OS) and disease-free survival (DFS); women were associated with shorter DFS. Conclusion: The pretreatment PNI had excellent predictive value for the 5-year OS and DFS of patients with OSCC. Future large-scale prospective studies with a high sample size are needed to verify our findings in OSCC patients.
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Affiliation(s)
- Takuya Yoshimura
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Hajime Suzuki
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Hirotaka Takayama
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Shotaro Higashi
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yuka Hirano
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Masahiro Tezuka
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Takayuki Ishida
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Kiyohide Ishihata
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Marie Amitani
- Department of Community-Based Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Department of Psychosomatic Internal Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Haruka Amitani
- Department of Psychosomatic Internal Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yasuhiro Nishi
- Department of Oral and Maxillofacial Prosthodontics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yasunori Nakamura
- Department of Oral Surgery, Kagoshima Medical Center, National Hospital Organization, Kagoshima, Japan
| | - Yasushi Imamura
- Department of Internal Medicine, Kagoshima Kouseiren Hospital, Kagoshima, Japan
| | - Etsuro Nozoe
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Akio Inui
- Pharmacological Department of Herbal Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Norifumi Nakamura
- Department of Oral and Maxillofacial Surgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
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Kawaguchi S, Kawahara K, Fujiwara Y, Ohnishi K, Pan C, Yano H, Hirosue A, Nagata M, Hirayama M, Sakata J, Nakashima H, Arita H, Yamana K, Gohara S, Nagao Y, Maeshiro M, Iwamoto A, Hirayama M, Yoshida R, Komohara Y, Nakayama H. Naringenin potentiates anti-tumor immunity against oral cancer by inducing lymph node CD169-positive macrophage activation and cytotoxic T cell infiltration. Cancer Immunol Immunother 2022; 71:2127-2139. [PMID: 35044489 PMCID: PMC9374624 DOI: 10.1007/s00262-022-03149-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/27/2021] [Indexed: 12/30/2022]
Abstract
The CD169+ macrophages in lymph nodes are implicated in cytotoxic T lymphocyte (CTL) activation and are associated with improved prognosis in several malignancies. Here, we investigated the significance of CD169+ macrophages in oral squamous cell carcinoma (OSCC). Further, we tested the anti-tumor effects of naringenin, which has been previously shown to activate CD169+ macrophages, in a murine OSCC model. Immunohistochemical analysis for CD169 and CD8 was performed on lymph node and primary tumor specimens from 89 patients with OSCC. We also evaluated the effects of naringenin on two murine OSCC models. Increased CD169+ macrophage counts in the regional lymph nodes correlated with favorable prognosis and CD8+ cell counts within tumor sites. Additionally, naringenin suppressed tumor growth in two murine OSCC models. The mRNA levels of CD169, interleukin (IL)-12, and C-X-C motif chemokine ligand 10 (CXCL10) in lymph nodes and CTL infiltration in tumors significantly increased following naringenin administration in tumor-bearing mice. These results suggest that CD169+ macrophages in lymph nodes are involved in T cell-mediated anti-tumor immunity and could be a prognostic marker for patients with OSCC. Moreover, naringenin is a new potential agent for CD169+ macrophage activation in OSCC treatment.
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Affiliation(s)
- Sho Kawaguchi
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Kenta Kawahara
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan.
| | - Yukio Fujiwara
- Department of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Koji Ohnishi
- Department of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Cheng Pan
- Department of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Hiromu Yano
- Department of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Akiyuki Hirosue
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Masashi Nagata
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Masatoshi Hirayama
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Junki Sakata
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Hikaru Nakashima
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Hidetaka Arita
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Keisuke Yamana
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Shunsuke Gohara
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Yuka Nagao
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Manabu Maeshiro
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Asuka Iwamoto
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Mayumi Hirayama
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Ryoji Yoshida
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Yoshihiro Komohara
- Department of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan.
| | - Hideki Nakayama
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto, 860-8556, Japan.
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Song H, Sun H, Yang L, Gao H, Cui Y, Yu C, Xu H, Li L. Nutritional Risk Index as a Prognostic Factor Predicts the Clinical Outcomes in Patients With Stage III Gastric Cancer. Front Oncol 2022; 12:880419. [PMID: 35646673 PMCID: PMC9136458 DOI: 10.3389/fonc.2022.880419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/13/2022] [Indexed: 12/13/2022] Open
Abstract
ObjectiveThis study is aimed to determine the potential prognostic significance of nutritional risk index (NRI) in patients with stage III gastric cancer.MethodsA total of 202 patients with stage III gastric cancer were enrolled in this study. NRI was an index based on ideal body weight, present body weight, and serum albumin levels. All patients were divided into two groups by receiver operating characteristic curve: low NRI group (NRI<99) and high NRI group (NRI≥99). The relationship between NRI and clinicopathologic characteristics was evaluated by Chi-square test. The clinical survival outcome was analyzed by Kaplan-Meier method and compared using log-rank test. The univariate and multivariate analyses were used to detect the potential prognostic factors. A nomogram for individualized assessment of disease-free survival (DFS) and overall survival (OS). The calibration curve was used to evaluate the performance of the nomogram for predicted and the actual probability of survival time. The decision curve analysis was performed to assess the clinical utility of the nomogram by quantifying the net benefits at different threshold probabilities.ResultsThe results indicated that NRI had prognostic significance by optimal cutoff value of 99. With regard to clinicopathologic characteristics, NRI showed significant relationship with age, weight, body mass index, total protein, albumin, albumin/globulin, prealbumin, glucose, white blood cell, neutrophils, lymphocyte, hemoglobin, red blood cell, hematocrit, total lymph nodes, and human epidermal growth factor receptor 2 (P<0.05). Through the univariate and multivariate analyses, NRI, total lymph nodes, and tumor size were identified as the independent factor to predict the DFS and OS. The nomogram was used to predict the 1-, 3-, and 5-year survival probabilities, and the calibration curve showed that the prediction line matched the reference line well for 1-, 3-, and 5-year DFS and OS. Furthermore, the decision curve analysis also showed that the nomogram model yielded the best net benefit across the range of threshold probability for 1-, 3-, 5-year DFS and OS.ConclusionsNRI is described as the potential prognostic factor for patients with stage III gastric cancer and is used to predict the survival and prognosis.
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Affiliation(s)
- Haibin Song
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Hongkai Sun
- Department of Anesthesiology, Hulunbeier People’s Hospital, Hulunbeier, China
| | - Laishou Yang
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Hongyu Gao
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Yongkang Cui
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China
| | - Chengping Yu
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China
| | - Haozhi Xu
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China
| | - Linqiang Li
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Harbin Medical University, Harbin, China
- *Correspondence: Linqiang Li,
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Chen L, Sun H, Zhao R, Huang R, Pan H, Zuo Y, Zhang L, Xue Y, Song H, Li X. Controlling Nutritional Status (CONUT) Predicts Survival in Gastric Cancer Patients With Immune Checkpoint Inhibitor (PD-1/PD-L1) Outcomes. Front Pharmacol 2022; 13:836958. [PMID: 35308215 PMCID: PMC8931544 DOI: 10.3389/fphar.2022.836958] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/31/2022] [Indexed: 12/16/2022] Open
Abstract
Objective: The controlling nutritional status (CONUT), based on total lymphocyte count (TL), total cholesterol level (T-CHOL), and serum albumin (ALB), can provide a useful immunological prognostic biomarker for cancer patients. The present study aims to investigate the correlation between CONUT and prognosis in gastric cancer patients receiving immune checkpoint inhibitor (ICI) treatment. Methods: We retrospectively enrolled 146 patients with gastric cancer treated with ICIs (PD-1/PD-L1 inhibitors) from August 2016 to December 2020. The clinicopathologic characteristics were analyzed by Chi-square test or Fisher’s exact test. The Kaplan–Meier and log-rank test were used to calculate and compare progression-free survival (PFS) and overall survival (OS). The prognostic and predictive factors of PFS and OS were identified by univariate and multivariate analyses. A nomogram was developed to estimate 1-, 3-, and 5-year PFS and OS probability. Results: Through the CONUT score, there were 75 (51.37%) patients in the low CONUT group and 71 (48.63%) patients in the high CONUT group. There was a correlation between the CONUT score and age (p = 0.005), pathology (p = 0.043), ALB (p = 0.020), PALB (p = 0.032), and Hb (p = 0.001). The CA724, TNM stage, and treatment (ICIs vs. chemotherapy) were the independent prognostic factors for PFS and OS by multivariate analyses. Patients with high CONUT score had poorer PFS and OS (χ2 = 3.238, p = 0.072, and χ2 = 4.298, p = 0.038). In the subgroup analysis, the patients with high CONUT score were associated with shorter PFS and OS with ICIs or chemotherapy. With the PD-1/PD-L1 positive expression, the patients with high CONUT score had shorter PFS and OS than those with low CONUT score. Furthermore, the patients with high CA724 value were associated with shorter PFS and OS. The toxicity assessment in ICIs or chemotherapy was significantly associated with anemia. The nomograms were constructed to predict the probability of 1-, 3-, and 5-year PFS, and 1-, 3-, and 5-year OS with C-indices of 0.749 and 0.769, respectively. Conclusion: The CONUT, as a novel immuno-nutritional biomarker, may be useful in identifying gastric cancer patients who are unlikely to benefit from ICI treatment.
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Affiliation(s)
- Li Chen
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Hao Sun
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Ruihu Zhao
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Rong Huang
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Hongming Pan
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Yanjiao Zuo
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Lele Zhang
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Yingwei Xue
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
| | - Hongjiang Song
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China
- *Correspondence: Hongjiang Song, ; Xingrui Li,
| | - Xingrui Li
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Hongjiang Song, ; Xingrui Li,
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Tamai M, Kiuchi J, Kuriu Y, Arita T, Shimizu H, Ohashi T, Konishi H, Yamamoto Y, Morimura R, Shiozaki A, Ikoma H, Kubota T, Fujiwara H, Okamoto K, Otsuji E. Clinical impact of postoperative prognostic nutritional index in colorectal cancer patients undergoing adjuvant chemotherapy. Am J Cancer Res 2021; 11:4947-4955. [PMID: 34765302 PMCID: PMC8569341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/13/2021] [Indexed: 06/13/2023] Open
Abstract
Preoperative Prognostic Nutritional Index (PNI) could be a crucial factor for the prognosis of colorectal cancer (CRC). However, the clinical impact of postoperative PNI is still unclear, and there have been no reports on the significance of postoperative PNI in patients undergoing adjuvant chemotherapy (AC). We retrospectively analysed 227 consecutive patients who underwent AC after radical surgery for high-risk stage II or stage III CRC. PNI value was calculated before radical surgery and before the introduction of AC. In our study, patients with a low PNI value before surgery showed significantly poorer long-term outcomes than those with a high PNI value. Next, we divided the patients into four groups: patients with a high PNI value before surgery and remained after surgery (Group High-High), a high PNI value before surgery but decreased after surgery (Group High-Low), a low PNI value before surgery but recovered after surgery (Group Low-High), and a low PNI value but did not recover after surgery (Group Low-Low). Although the patients in Group Low-Low showed significantly poorer long-term outcomes than those in Group High-High, the prognosis of patients in Group Low-High was the same as that of patients in Group High-High. In addition, in patients with recurrence after AC, those with a high PNI value at the time of recurrence showed a significantly better survival after recurrence than patients with a low PNI value. Postoperative PNI value could be a prognostic biomarker for CRC patients undergoing AC. Even though the PNI value was low before the surgery, recovery of PNI value by the introduction of AC could improve the prognosis of CRC patients.
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Shi Y, Zhang Y, Niu Y, Chen Y, Kou C. Prognostic role of the prognostic nutritional index (PNI) in patients with head and neck neoplasms undergoing radiotherapy: A meta-analysis. PLoS One 2021; 16:e0257425. [PMID: 34520494 PMCID: PMC8439446 DOI: 10.1371/journal.pone.0257425] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 08/31/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND This novel meta-analysis was conducted to systematically and comprehensively evaluate the prognostic role of the pretreatment PNI in patients with head and neck neoplasms (HNNs) undergoing radiotherapy. METHODS Three databases, PubMed, Embase, and Web of Science, were used to retrieve desired literature. Hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted and pooled by fixed-effects or random-effects models to analyze the relationship between the PNI and survival outcomes: overall survival (OS), distant metastasis-free survival (DMFS), and progression-free survival (PFS). RESULTS Ten eligible studies involving 3,458 HNN patients were included in our analysis. The robustness of the pooled results was ensured by heterogeneity tests (I2 = 22.6%, 0.0%, and 0.0% for OS, DMFS, and PFS, respectively). The fixed-effects model revealed a lower pretreatment PNI was significantly related to a worse OS (HR = 1.974; 95% CI: 1.642-2.373; P<0.001), DMFS (HR = 1.959; 95% CI: 1.599-2.401; P<0.001), and PFS (HR = 1.498; 95% CI: 1.219-1.842; P<0.001). The trim-and-fill method (HR = 1.877; 95% CI: 1.361-2.589) was also used to prove that the existing publication bias did not deteriorate the reliability of the relationship. CONCLUSION The pretreatment PNI is a promising indicator to evaluate and predict the long-term prognostic survival outcomes in HNN patients undergoing radiotherapy.
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Affiliation(s)
- Yujie Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Yue Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Yaling Niu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Yingjie Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
- * E-mail:
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Chen L, Bai P, Kong X, Huang S, Wang Z, Wang X, Fang Y, Wang J. Prognostic Nutritional Index (PNI) in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy as a Useful Prognostic Indicator. Front Cell Dev Biol 2021; 9:656741. [PMID: 33859986 PMCID: PMC8042235 DOI: 10.3389/fcell.2021.656741] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 02/08/2021] [Indexed: 12/21/2022] Open
Abstract
Objective Prognostic nutritional index (PNI), calculated as serum albumin (ALB) (g/L) + 5 × total lymphocyte count (109/L), is initially used to evaluate nutritional status in patients undergoing surgery and may evaluate the therapeutic effects and predict the survival of various solid tumors. The present study aimed to evaluate the potential prognostic significance of PNI in breast cancer patients receiving neoadjuvant chemotherapy (NACT). Methods A total of 785 breast cancer patients treated with neoadjuvant chemotherapy were enrolled in this retrospective study. The optimal cutoff value of PNI by receiver operating characteristic curve stratified patients into a low-PNI group (<51) and a high PNI group (≥51). The associations between breast cancer and clinicopathological variables by PNI were determined by chi-square test or Fisher’s exact test. Kaplan–Meier plots and log-rank test were used to evaluate the clinical outcomes of disease-free survival (DFS) and overall survival (OS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by the National Cancer Institute Common Toxicity Criteria (NCI-CTC). Results The results indicated that PNI had prognostic significance by an optimal cutoff value of 51 on DFS and OS in univariate and multivariate Cox regression survival analyses. Breast cancer patients with a high PNI value had longer DFS and OS than those with a low PNI value [47.64 vs. 36.60 months, P < 0.0001, hazard ratio (HR) = 0.264, 95%CI = 0.160–0.435; 73.61 vs. 64.97 months, P < 0.0001, HR = 0.319, 95%CI = 0.207–0.491, respectively]. Furthermore, the results indicated that patients with high PNI had longer DFS and OS than those with low PNI in early stage and advanced breast cancer, especially in advanced breast cancer. The mean DFS and OS times for breast cancer patients with high PNI by the log-rank test were longer than in those with low PNI in different molecular subtypes. Moreover, the mean DFS and OS times in patients with high PNI by the log-rank test were longer than in those patients with low PNI without or with lymph vessel invasion. The common toxicities after neoadjuvant chemotherapy were hematologic and gastrointestinal reaction, and the PNI had no significance on the toxicities of all enrolled patients, except in anemia, leukopenia, and myelosuppression. Conclusion Pretreatment PNI with the advantages of being convenient, noninvasive, and reproducible was a useful prognostic indicator for breast cancer patients receiving neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.
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Affiliation(s)
- Li Chen
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ping Bai
- Department of Operation Room, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shaolong Huang
- Department of Breast and Thyroid, Traumatic and Plastic Surgery, Tongren Municipal People's Hospital, Guizhou, China
| | - Zhongzhao Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyu Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Fang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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A preoperative prognostic nutritional index is a prognostic indicator in oral squamous cell carcinoma patients undergoing radical surgery. Int J Oral Maxillofac Surg 2021; 50:1413-1421. [PMID: 33663900 DOI: 10.1016/j.ijom.2021.01.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 11/17/2020] [Accepted: 01/19/2021] [Indexed: 12/23/2022]
Abstract
The purpose of this study was to investigate the prognostic value of prognostic nutritional index (PNI) in oral squamous cell carcinoma (OSCC) patients and to undertake a comparative evaluation of the prognostic value of comparing PNI, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in terms of prognostic utility. A retrospective study was conducted involving 203 consecutive patients with OSCC who were treated with radical surgery with curative intent. The PNI and systemic inflammatory response were developed, and their prognostic utility was evaluated. Kaplan-Meier curve analysis and log-rank testing showed that PNI (P< 0.001), NLR (P=0.011), PLR (P=0.013), and LMR (P=0.014) were significantly associated with overall survival. Multivariate analysis identified PNI as an independent prognostic factor for OSCC patients (P=0.029). In time-dependent receiver operating characteristic curve analysis, PNI was continuously superior to that of NLR, PLR, and LMR. In conclusion, this study suggested that PNI offered an independent prognostic biomarker in OSCC patients undergoing radical surgery. However, this study was small and retrospective, thus further investigations are needed to clarify the utility of PNI for tailor-made treatments in clinical settings.
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