Prediction of Lymph Node Metastasis in Colon Cancer via Platelet to Lymphocyte Ratio and Platelet Count

Çatal, Oğuz; Özer, Bahri; Şit, Mustafa

doi:10.29271/jcpsp.2020.03.250

Cited by 12 publications

(11 citation statements)

References 14 publications

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“…The results of this study indicated that the LNM-associated nomogram has a favorable application prospect in patients with colon cancer. Similar to previous reports(3,(14)(15)(16)(17), this study found that tumor differentiation, preoperative CEA level, and PNI were independent risk factors associated with LNM in colon cancer.…”

supporting

confidence: 91%

Preoperative Predictors of Lymph Node Metastasis in Colon Cancer

Chen

Long

et al. 2021

Front. Oncol.

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BackgroundLymph node metastasis (LNM) is a well-established prognostic factor for colon cancer. Preoperative LNM evaluation is relevant for planning colon cancer treatment. The aim of this study was to construct and evaluate a nomogram for predicting LNM in primary colon cancer according to pathological features.Patients and MethodsSix-hundred patients with clinicopathologically confirmed colon cancer (481 cases in the training set and 119 cases in the validation set) were enrolled in the Affiliated Cancer Hospital of Guangxi Medical University from January 2010 to December 2019. The expression of molecular markers (p53 and β-catenin) was determined by immunohistochemistry. Multivariate logistic regression was used to screen out independent risk factors, and a nomogram was established. The accuracy and discriminability of the nomogram were evaluated by consistency index and calibration curve.ResultsUnivariate logistic analysis revealed that LNM in colon cancer is significantly correlated (P <0.05) with tumor size, grading, stage, preoperative carcinoembryonic antigen (CEA) level, and peripheral nerve infiltration (PNI). Multivariate logistic regression analysis confirmed that CEA, grading, and PNI were independent prognostic factors of LNM (P <0.05). The nomogram for predicting LNM risk showed acceptable consistency and calibration capability in the training and validation sets.ConclusionsPreoperative CEA level, grading, and PNI were independent risk factor for LNM. Based on the present parameters, the constructed prediction model of LNM has potential application value.

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supporting

confidence: 91%

Preoperative Predictors of Lymph Node Metastasis in Colon Cancer

Chen

Long

et al. 2021

Front. Oncol.

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“…Catal et al found that the preoperative PLR value showed good specificity and sensitivity for predicting lymph node metastasis in patients with colon cancer. 21 The study by Turri et al indicated that patients with stage I or II colon cancer had worse OS when preoperative NLR was greater than 3 (p = 0.007). 22 Facciorusso et al proved that LMR could predict OS and time to recurrence (TTR) in patients with colorectal liver metastasis after radiofrequency ablation.…”

Section: Discussionmentioning

confidence: 97%

Systemic immune-inflammation index: A new indicator of predicting 1-, 2-and 3-year disease-free survival of patients with colon cancer

Zhang¹,

Zhang²,

Guo³

et al. 2022

Adv Clin Exp Med

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Background. The systemic immune-inflammation index (SII) is a useful prognostic indicator for some types of cancer, but it remains to be elucidated if it is similarly useful for colon cancer.Objectives. This study aims to investigate the prognostic value of preoperative SII in patients with colon cancer undergoing radical surgery. Materials and methods.The clinical materials of 188 patients with colon cancer who underwent radical surgery from September 1, 2013, to August 31, 2018, in Zhongda Hospital at Southeast University (Nanjing, China) were collected retrospectively. The SII was calculated as platelet count × neutrophil count / lymphocyte count. All patients enrolled in the study were then assigned into 2 different groups according to the median value of SII for comparison of clinical features between the 2 groups. The survival curve was drawn using the Kaplan-Meier method. Univariate and multivariate analysis were performed using the Cox regression model, analyzing the independent risk factors. The independent factors were analyzed with the R software to construct a nomogram of 1-, 2-and 3-year disease-free survival (DFS) after operation. Lastly, a web-based probability calculator was constructed to dynamically predict the possibility of DFS of patients.Results. The SII could significantly predict DFS of patients with colon cancer with the median value of 514. 13xs. For DFS, multivariate Cox analysis indicated that age, tumor location, pathological N stage, and preoperative SII level were independent risk factors for patients with colon cancer after radical resection (p < 0.05). A nomogram and a web-based probability calculator were constructed based on these factors. Conclusions.The preoperative SII level can predict DFS in patients who received radical surgery with colon cancer. The nomogram constructed based on independent risk factors is helpful in predicting DFS of colon cancer patients in clinical practice.

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“…When PLR is high, there is an immune imbalance between anti-tumor and tumor-promoting ( 23 ). Catal’s team research shows that PLT supports the formation of blood vessels in tumor tissues, the growth and diffusion of cancer cells and subsequent secondary lesions; PLR is related to the size and degree of tumor invasion ( 24 ). However, some reports suggest that PLR is not an independent predictor of CRC staging ( 25 ).…”

Section: Discussionmentioning

confidence: 99%

Expression and Predictive Value of Serum NLR, PLR Combined with SAA in Patients with Different Stages of Colorectal Cancer

Yang¹,

Sun

Zhao

2022

Front. Surg.

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Colorectal cancer (CRC) is one of the major causes of death in the world, and has become a serious threat to human life. The prognosis of CRC patients in different pathological stages is quite different, so it is necessary to evaluate the clinical stages of CRC patients before surgery. Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), serum amyloid A (SAA) and other indicators have been widely proved to play the role of early diagnosis and prognosis monitoring in chronic inflammatory diseases and cancers. In this study, we collected clinical data of 103 patients with CRC confirmed by pathology in Yiwu Central Hospital from January 2019 to December 2021. In addition, it aims to explore the expression and predictive value of NLR, PLR combined with SAA in patients with different stages of CRC, so as to provide reference for patients to choose a reasonable treatment plan. The results show that serum NLR, PLR combined with SAA can predict CRC staging effectively, which has certain auxiliary value for clinical decision-making.

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Prediction of Lymph Node Metastasis in Colon Cancer via Platelet to Lymphocyte Ratio and Platelet Count

Abstract: Objective: To investigate the value of preoperative blood tests in predicting lymph node metastasis in colon cancer patients undergoing surgery.

Cited by 12 publications

References 14 publications

Preoperative Predictors of Lymph Node Metastasis in Colon Cancer

Preoperative Predictors of Lymph Node Metastasis in Colon Cancer

Systemic immune-inflammation index: A new indicator of predicting 1-, 2-and 3-year disease-free survival of patients with colon cancer

Expression and Predictive Value of Serum NLR, PLR Combined with SAA in Patients with Different Stages of Colorectal Cancer

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