A novel scoring system associating with preoperative platelet/lymphocyte and clinicopathologic features to predict lymph node metastasis in early gastric cancer

Lou, Neng; Zhang, Liang; Chen, Xiao; Pang, Wenyang; Chandoo, Arvine; Huang, Yunmao; Zhuang, Cheng‐Le; Shen, Xian

doi:10.1016/j.jss.2016.10.011

Cited by 24 publications

(19 citation statements)

References 34 publications

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“…Kim reported that although both the PLR and NLR could re ect the prognosis, the NLR was more predictive of overall survival than the PLR in GC [36]. Also, they suggested that NLR and PLR might be associated with lymph node metastasis in early gastric cancer [37]. On the contrary, Zhu et al indicated that NLR and PLR could not predict lymph node metastasis and prognosis in early gastric cancer [38].…”

Section: Discussionmentioning

confidence: 99%

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

Chen

Zheng

et al. 2020

Preprint

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Background and objective: The prognostic significance of peripheral blood-derived inflammation markers in patients with gastric cancer (GC) has not been elucidated. This study aimed to investigate the relationship between systemic inflammatory markers and GC prognosis. Methods:A prospective observational cohort study involving 598 patients was conducted to analyze the prognosis of GC based on systemic inflammatory markers. The following peripheral blood-derived inflammation markers were evaluated: the neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), systemic immune-inflammation index (SII), C-reactive protein/albumin (CRP/Alb) ratio, Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), prognostic nutrition index (PNI), and prognostic index (PI). The receiver operating characteristics (ROC) curve and the Youden index were used to determine the optimal cutoff values. Univariate and multivariate analysis of prognostic factors was conducted accordingly. Results:The optimal cutoff values of the PNI, fibrinogen, NLR, PLR, SII, and CRP/Alb were 49.5, 397ng/dl, 2.5, 154, 556, and 0.05, respectively. Multivariate analysis showed that age, PLR, TNM stage, and chemotherapy were the independent prognostic factors for advanced gastric cancer (AGC).Adjuvant chemotherapy improved the long-term prognosis of patients with PLR ≥154, but chemotherapy had no significant effect on the survival of patients with PLR <154. Conclusions:Our findings show that higher PLR (≥154) is an independent risk factor for poor prognosis in GC patients. Besides, PLR can predict adjuvant chemotherapy (oxaliplatin/5-fluorouracil combination) response in patients with GC after surgery.

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Section: Discussionmentioning

confidence: 99%

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

Chen

Zheng

et al. 2020

Preprint

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“…However, by multivariate analysis NLR was not an independent prognostic factor. Complex score not including NLR was more informative for preoperative estimation of lymph node metastases [72].…”

Section: Metastases In Regional Lymph Nodes: Nmentioning

confidence: 94%

“…Thus PLR, but not NLR was included in a complex score. The scoring system was based on the identified independent risk factors: PLR (cut-off 106, based on ROC analysis), age, tumour size, grade and depth of invasion and successfully validated in a prospective training set [72].…”

Section: Metastases In Regional Lymph Nodes: Nmentioning

confidence: 99%

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Systemic Inflammatory Reaction in Gastric Cancer: Biology and Practical Implications of Neutrophil to Lymphocyte Ratio, Glasgow Prognostic Score and Related Parameters

Štrumfa¹,

Bogdanova²,

Kalva³

et al. 2017

Gastric Cancer

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Gastric cancer induces systemic inflammatory reaction (SIR) manifesting with changes in counts of white blood cell fractions and concentrations of acute phase proteins, clotting factors and albumins. Thus, protein-based scores or blood cell ratios (neutrophil to lymphocyte ratio (NLR); platelet to lymphocyte ratio (PLR)) are used to evaluate SIR. SIR tests are biologically justified by multiple clinically important and fascinating events including bone marrow activation, development of immune-suppressing immature myeloid cells, generation of pre-metastatic niches and neutrophil extracellular trap formation from externalised DNA network in bidirectional association with platelet activation. Despite biological complexity, clinical SIR assessment is widely available, patient-friendly and economically feasible. Here we present concise review on NLR, PLR, Glasgow prognostic score and fibrinogen -parameters that have prognostic role regarding overall, cancer-free and cancer-specific survival in early and advanced cases. Tumour burden can be predicted helping in preoperative detection of serosal or lymph node involvement. Practical consequences abound, including selection of surgical approach in respect to tumour burden, adjustments in treatment intensity by prognosis or evaluation of chemotherapy response. The chapter also scrutinises main controversies including different cut-off levels. Future developments should include elaboration of complex scores as described here. SIR parameters should be wisely incorporated in patients' treatment.

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“…Some studies demonstrated that LN metastasis is an independent risk index for poor prognosis of GC [2,3]. Precise and exact preoperative identi cation of LN involvement is of vital signi cance for treatment strategy decisions in patients with GC [4,5]. Several studies suggested that clinicopathologic factors like lymphatic invasion or pathological differentiation are associated with LN metastasis, however they can hardly be obtained preoperatively [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Genomic-Clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer

Zhong

Xuan

Qian

et al. 2020

Preprint

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Background: Preoperative evaluation of the lymph node (LN) state is of pivotal significance for therapy strategy decisions in gastric cancer (GC) patients. However, there is lack of noninvasive method that can identify such status preoperatively. We aimed at developing a genomic biosignature based model to forecast the possibility of LN metastasis in GC patients.Methods: We employed the RNA profile retrieving strategy and conducted RNA expression profiling in a large GC cohort (GSE62254, n = 300) from Gene Expression Ominus (GEO). In the exploratory stage, 300 GC patients from GSE62254 were involved and the differentially expressed RNAs (DERs) for LN-status were determined using R software. The GC samples in GSE62254 were randomly divided into a learning set (n = 210) and a verification set (n = 90). By performing the Least absolute shrinkage and selection operator (LASSO) regression approach, a set of 23-RNA signature was established and the signature based nomogram was subsequently built for distinguishing LN condition. The diagnostic effectiveness of this model was assessed, as well as the clinical performance subsequently assessed using the decision curve analysis (DCA). Metascape was used for bioinformatic analysis of the DERsResults: Based on this genomic signature, we established a nomogram which robustly distinguished LN status in the learning (AUC = 0.916, 95% CI 0.833–0.999) and verification sets (AUC = 0.775, 95% CI 0.647–0.903). DCA demonstrated the clinical value of this nomogram. Functional enrichment analysis of the DERs was conducted using bioinformatics methods which posited that these DERs were involved with several lymphangiogenesis-correlated cascades.Conclusions: Here, we present a genomic signature based nomogram that integrates the 23-RNA biosignature based scores and Lauren classification. This model can be readily utilized to estimate the possibility of LN metastasis with good performance in GC. The uncovering of the DERs reveals the prospective biogenesis of LN metastasis in GC.

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A novel scoring system associating with preoperative platelet/lymphocyte and clinicopathologic features to predict lymph node metastasis in early gastric cancer

Cited by 24 publications

References 34 publications

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

Systemic Inflammatory Reaction in Gastric Cancer: Biology and Practical Implications of Neutrophil to Lymphocyte Ratio, Glasgow Prognostic Score and Related Parameters

A Genomic-Clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer

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