Prognostic role of platelet‐to‐lymphocyte ratio in oral cancer: A meta‐analysis

Zhang, Yonggang; Zheng, Lirong; Quan, Liuliu; Li, Du

doi:10.1111/jop.12832

Cited by 31 publications

(41 citation statements)

References 27 publications

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“…A recent meta-analysis showed that a high NLR was significantly associated with decreased OS and PFS in ovarian cancer [9]. Another work suggested that higher PLR was an indicator of poor progress in oral cancer [32]. Those findings were in accordance with our results in DLBCL.…”

Section: Discussionsupporting

confidence: 92%

Prognostic impact of platelet-to-lymphocyte ratio on diffuse large B-cell lymphoma: a meta-analysis

et al. 2019

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Background: Recently, some studies reported the prognostic value of platelet-to-lymphocyte ratio (PLR) in patients with diffuse large B-cell lymphoma (DLBCL), however, the results varied from different studies. Therefore, we performed a meta-analysis to explore the prognostic value of PLR in DLBCL. Methods:A comprehensive literature retrieval was conducted by using PubMed, Embase, Web of Science, the Cochrane Library, the China National Knowledge Infrastructure (CNKI), and Wanfang. Pooled hazard ratio (HR) and 95% confidence interval (CI) were used to evaluate the association of PLR and overall survival (OS) and progression-free survival (PFS). Odd ratios (ORs) and 95% CIs for clinicopathological characteristics were statistically analyzed. Results:Eight studies with 1931 patients were included for meta-analysis. The pooled analysis indicated that elevated PLR was significantly associated with poor OS (HR = 1.73, 95% CI 1.29-2.31, p < 0.001), but not PFS (HR = 0.85, 95% CI 0.57-1.27, p = 0.438). Furthermore, elevated PLR was significantly associated with presentation of B symptoms (OR = 2.27, 95% CI 1.29-3.98, p = 0.004), elevated lactate dehydrogenase (LDH) (OR = 2.76, 95% CI 2.05-3.72, p < 0.001), higher tumor stage (OR = 2.22, 95% CI 1.66-2.98, p < 0.001), and Eastern Cooperative Oncology Group (ECOG) performance status (PS) ≥ 2 (OR = 1.71, 95% CI 1.09-2.69, p = 0.019). However, elevated PLR was not significantly correlated with gender, age or cell of origin. Conclusion:This meta-analysis revealed that PLR may be an effective and noninvasive biomarker for poor prognosis and aggressive disease characteristics for patients with DLBCL.

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Section: Discussionsupporting

confidence: 92%

Prognostic impact of platelet-to-lymphocyte ratio on diffuse large B-cell lymphoma: a meta-analysis

et al. 2019

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“…Increasing evidence has confirmed that systemic inflammatory responses and the immune system play important roles in the tumor microenvironment (10)(11)(12). Several peripheral indicators of immunity/inflammation, including the neutrophil-to-lymphocyte ratio (NLR), plateletto-lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) are used as significant prognostic indicators in many solid tumors, including TSCC (13,14). Recently, the systemic immune-inflammation index (SII), based on a combination of peripheral lymphocytes, neutrophils, and platelet count, was hypothesized to better reflect the balance between host inflammation and immune status.…”

Section: Introductionmentioning

confidence: 99%

Nomogram Based on Systemic Immune-Inflammation Index to Predict Survival of Tongue Cancer Patients Who Underwent Cervical Dissection

Yan

Liang

et al. 2020

Front. Oncol.

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Aim: The aim of this study was to evaluate the prognostic significance of the preoperative systemic immune-inflammation index (SII) and to establish a nomogram for prediction of survival of tongue squamous cell carcinoma (TSCC) patients who underwent primary surgery and cervical dissection.Methods: 120 patients diagnosed with TSCC who underwent primary tumor and neck dissection without preoperative treatment were included to develop the nomogram. This model was externally validated in an independent data cohort of 50 TSCC patients. X-tile software was used to identify the optimal cut-off value. Prognostic factors were identified by Univariate and multivariate analyses. A nomogram based on the multivariate analysis results was built to predict the survival rate and calibration curves and concordance index (C-index) were used to determine predictive and discriminatory capacity.Results: The optimal cut-off value was 569×10 9 /L for SII. In the training cohort, a high preoperative SII (>569) was significantly related to tumor size, histological grade, depth of invasion, lymph node density (LND). A Kaplan-Meier survival analysis showed that patients with a lower SII had a significantly better 5-year overall survival (OS) and disease-free survival (DFS) than patients with high SII (80.8% vs. 43.5% and 72.7% vs. 36.2%, respectively, P<0.001). Univariate analyses of training cohort revealed that age, clinical stage, depth of invasion, LND, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and SII were significant prognostic factors for OS. Moreover, the receiver operating characteristics (ROC) curve showed that SII was superior to NLR and PLR for predicting clinical outcomes. However, multivariate analysis found that age, LND, and SII were independent risk factors for OS. The C-index of the nomograms based on independent prognostic factors was 0.716 for OS and 0.723 for DFS. The C-indexes for external validation of OS and DFS were 0.852 and 0.754, respectively. The calibration curves showed good agreement between predicted and actual observations of OS and DFS. Lu et al. SII Predict Survival of TSCCConclusion: SII can serve as a novel independent prognostic factor for OS and DFS of patients with TSCC. The prognostic nomogram based on SII is a reliable model for predicting survival of patients with TSCC after surgery.

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“…Various reports have shed light on the probable prognostic signi cance of certain biomarkers in the setting of OSCC, of which serum biomarkers are of potential clinical utility due to their feasibility and accessibility. Multiple serum biomarkers including lymphocyte count, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) have been proposed and validated as signi cant prognosticators in a broad spectrum of cancer [9][10][11][12] . Recently, the systemic immune-in ammation index (SII) combining neutrophil, lymphocyte and platelet, has been reported to provide prognostic information in several malignancies.…”

Section: Introductionmentioning

confidence: 99%

Nomograms to Predict the Prognosis in Locally Advanced Oral Squamous Cell Carcinoma After Curative Resection

Nie

Zhao

Shang³

et al. 2021

Preprint

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Background: Oral squamous cell carcinoma (OSCC), the dominant histologic type of oral cancer. Locally advanced OSCC remains a major therapeutic challenge. Our study aimed to develop and validate nomograms predicting survival prognosis in patients with locally advanced oral squamous cell carcinoma (OSCC) after curative resection. Methods: A total of 269 consecutive patients with primary OSCC who received curative resection between September 2007 and March 2020 were retrospectively enrolled in our study. Patients were randomly assigned to the training cohort (n=201) or the validation cohort (n=68). Multivariate Cox regression analyses were conducted to determine independent prognostic factors for overall survival (OS) and cancer specific survival (CSS) in the training set, which were used for the construction of nomogram models estimating 3-, and 5-year OS and CSS. We also evaluated the nomograms using concordance indices (c-index), calibration curves, and decision curve analyses (DCA), and compared those with the AJCC 8th staging system. The results were externally validated in the validation cohort.Results: Age, Kaplan-Feinstein (KFI) index, pT, the number of positive nodes and systemic inflammatory index (SII) were significant prognostic predictors for OS and CSS. The OS nomogram had c-index values of 0.712 in the training set and 0.697 in the validation set, while the CSS nomograms had c-index values of 0.709 in the training set and 0.675 in the validation set. These data were superior to those of AJCC 8th staging system, suggesting high discriminative ability of the nomograms. Calibration curves exhibited good agreement between observed and predicted survival. DCA curves indicated the nomograms were with potential clinical usefulness. These results were validated in the validation set.Conclusions: The novel nomograms incorporating clinically available characteristics for OS and CSS prediction were developed in the locally advanced OSCC patients after curative surgery. Validation revealed good discrimination and calibration, indicating the clinical utility of the nomograms in the individualized prognosis prediction of locally advanced OSCC after curative surgery.

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Prognostic role of platelet‐to‐lymphocyte ratio in oral cancer: A meta‐analysis

Cited by 31 publications

References 27 publications

Prognostic impact of platelet-to-lymphocyte ratio on diffuse large B-cell lymphoma: a meta-analysis

Prognostic impact of platelet-to-lymphocyte ratio on diffuse large B-cell lymphoma: a meta-analysis

Nomogram Based on Systemic Immune-Inflammation Index to Predict Survival of Tongue Cancer Patients Who Underwent Cervical Dissection

Nomograms to Predict the Prognosis in Locally Advanced Oral Squamous Cell Carcinoma After Curative Resection

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