Comparative study of preoperative prediction scores for lymph node metastasis in gastric and colon cancer patients

2020 ◽  
Author(s):  
Xiangjian Zheng ◽  
Xiaodong Chen ◽  
Min Li ◽  
Chunmeng Li ◽  
Xian Shen
Keyword(s):  
Risk Factors ◽  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Serum Markers ◽  
Tumor Characteristics ◽  
Node Metastasis ◽  
Preoperative Prediction ◽  
Independent Risk Factors

Abstract Background: Surgery combined with chemo-radiotherapy is a recognized model for the treatment of gastric and colon cancers. Lymph node metastasis determines the patient's surgical or comprehensive treatment plan. This analytical study aims to compare preoperative prediction scores to better predict lymph node metastasis in gastric and colon cancer patients.Methods: This study comprised 768 patients, which included 312 patients with gastric cancer and 462 with colon cancer. Preoperative clinical tumor characteristics, serum markers, and immune indices were evaluated using single-factor analysis. Logistic analysis was designed to recognize independent predictors of lymph node metastasis in these patients. The independent risk factors were integrated into preoperative prediction scores, which were accurately assessed using receiver operating characteristic (ROC) curves.Results: Results showed that serum markers (CA125, hemoglobin, albumin), immune indices (S100, CD31, d2–40), and tumor characteristics (pathological type, size) were independent risk factors for lymph node metastasis in patients with gastric and colon cancer. The preoperative prediction scores reliably predicted lymph node metastasis in gastric and colon cancer patients with a higher area under the ROC curve (0.901). The area was 0.923 and 0.870 in gastric cancer and colon cancer, respectively. Based on the ROC curve, the ideal cutoff value of preoperative prediction scores to predict lymph node metastasis was established to be 287. Conclusion: The preoperative prediction scores is a useful indicator that can be applied to predict lymph node metastasis in gastric and colon cancer patients.

scholarly journals Comparative Study of Preoperative Scores to Predict Lymph Node Metastasis in Patients With Gastric and Colon Cancers: A Case Control Study

2020 ◽  
Author(s):  
Xiangjian Zheng ◽  
Xiaodong Chen ◽  
Min Li ◽  
Chunmeng Li ◽  
Xian Shen
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Roc Curve ◽  
Serum Markers ◽  
Tumor Characteristics ◽  
Immune Markers ◽  
Node Metastasis ◽  
Colon Cancers ◽  
Independent Risk Factors

Abstract Background:Surgery combined with chemo-radiotherapy is a recognized model for the treatment of gastric and colon cancers. Lymph node metastasis determines the patient's surgical or comprehensive treatment plan.The purpose of this study was to compare preoperative scores to better predict lymph node metastasis in patients with gastric and colon cancers.Methods:A total of 768 patients with gastric cancer (312) and colon cancer (462) were enrolled in our study. Preoperative serum markers, immune markers, and clinical tumor characteristics were evaluated by single-factor analysis. Logistic analysis was used to identify independent predictors of lymph node metastasis in patients with gastric and colon cancers. These independent risk factors were integrated into preoperative scores, which was evaluated by receiver operating characteristic (ROC) curves.Results:The result showed that serum markers (CA125, hemoglobin, albumin), immune markers (S100, CD31, d2–40), and tumor characteristics (pathological type, tumor size) were independent risk factors for lymph node metastasis in patients with gastric and colon cancers. The preoperative scores reliably predicted lymph node metastasis in patients with gastric and colon cancers with a higher area under the ROC curve (0.901). Compared to the other independent risk factors, the area under the ROC curve of this indicator was 0.923 and 0.870, for gastric and colon cancers, respectively. Based on the ROC curve, the ideal cutoff value of preoperative scores to predict lymph node metastasis was established to be 287. Conclusion: The preoperative scores is a useful indicator that could be used to predict lymph node metastasis in patients with gastric and colon cancers.

Risk factors for lymph node metastasis in early colon cancer

2020 ◽  
Vol 35 (8) ◽  
pp. 1607-1613
Author(s):  
You Jin Lee ◽  
Jung Wook Huh ◽  
Jung Kyong Shin ◽  
Yoon Ah Park ◽  
Yong Beom Cho ◽  
...  
Keyword(s):  
Risk Factors ◽  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Node Metastasis ◽  
Early Colon Cancer

scholarly journals Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Aydin Eresen ◽  
Yu Li ◽  
Jia Yang ◽  
Junjie Shangguan ◽  
Yury Velichko ◽  
...  
Keyword(s):  
Machine Learning ◽  
Colon Cancer ◽  
Lymph Node ◽  
Pilot Study ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Preoperative Assessment ◽  
Node Metastasis

Risk factors for lymph node metastasis in clinically node-negative penile cancer patients

2009 ◽  
Vol 16 (4) ◽  
pp. 383-386 ◽  
Author(s):  
Aravind Ramkumar ◽  
Ramakrishnan Ayloor Seshadri ◽  
Kathiresan Narayanaswamy ◽  
Satheesan Balasubramanian
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Penile Cancer ◽  
Node Negative ◽  
Node Metastasis

scholarly journals Nomograms for Predicting the Lymph Node Metastasis in Early Gastric Cancer by Gender: A Retrospective Multicentric Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Wannian Sui ◽  
Zhangming Chen ◽  
Chuanhong Li ◽  
Peifeng Chen ◽  
Kai Song ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Depth Of Invasion ◽  
Male And Female ◽  
Node Metastasis ◽  
Independent Risk Factors ◽  
Medical University ◽  
Training Sets

BackgroundLymph node metastasis (LNM) has a significant impact on the prognosis of patients with early gastric cancer (EGC). Our aim was to identify the independent risk factors for LNM and construct nomograms for male and female EGC patients, respectively.MethodsClinicopathological data of 1,742 EGC patients who underwent radical gastrectomy and lymphadenectomy in the First Affiliated Hospital, Second Affiliated Hospital, and Fourth Affiliated Hospital of Anhui Medical University between November 2011 and April 2021 were collected and analyzed retrospectively. Male and female patients from the First Affiliated Hospital of Anhui Medical University were assigned to training sets and then from the Second and Fourth Affiliated Hospitals of Anhui Medical University were enrolled in validation sets. Based on independent risk factors for LNM in male and female EGC patients from the training sets, the nomograms were established respectively, which was also verified by internal validation from the training sets and external validation from the validation sets.ResultsTumor size (odd ratio (OR): 1.386, p = 0.030), depth of invasion (OR: 0.306, p = 0.001), Lauren type (OR: 2.816, p = 0.000), lymphovascular invasion (LVI) (OR: 0.160, p = 0.000), and menopause (OR: 0.296, p = 0.009) were independent risk factors for female EGC patients. For male EGC patients, tumor size (OR: 1.298, p = 0.007), depth of invasion (OR: 0.257, p = 0.000), tumor location (OR: 0.659, p = 0.002), WHO type (OR: 1.419, p = 0.001), Lauren type (OR: 3.099, p = 0.000), and LVI (OR: 0.131, p = 0.000) were independent risk factors. Moreover, nomograms were established to predict the risk of LNM for female and male EGC patients, respectively. The area under the ROC curve of nomograms for female and male training sets were 87.7% (95% confidence interval (CI): 0.8397–0.914) and 94.8% (95% CI: 0.9273–0.9695), respectively. For the validation set, they were 92.4% (95% CI: 0.7979–1) and 93.4% (95% CI: 0.8928–0.9755), respectively. Additionally, the calibration curves showed good agreements between the bias-corrected prediction and the ideal reference line for both training sets and validation sets in female and male EGC patients.ConclusionsNomograms based on risk factors for LNM in male and female EGC patients may provide new insights into the selection of appropriate treatment methods.

Risk factors for peritoneal recurrence in stage II/III gastric cancer patients who received S-1 adjuvant chemotherapy after D2 gastrectomy.

2013 ◽  
Vol 31 (4_suppl) ◽  
pp. 51-51
Author(s):  
Toru Aoyama ◽  
Takaki Yoshikawa ◽  
Junya Shirai ◽  
Hirohito Fujikawa ◽  
Tsutomu Hayashi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Adjuvant Chemotherapy ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Peritoneal Recurrence ◽  
Tumor Diameter ◽  
Node Metastasis ◽  
Gastric Cancer Patients

51 Background: Peritoneum is still the most frequent site of the recurrence in stage II/III gastric cancer patients although the survival was improved by S-1 adjuvant chemotherapy. The objective of this retrospective study was to clarify the risk factors of peritoneal recurrence in patients who received S-1 adjuvant chemotherapy. Methods: Peritoneal recurrence free survival (P-RFS) was examined in 100 gastric cancer patients who underwent curative D2 surgery, were diagnosed with stage II or III pathologically, and received adjuvant S-1 between June of 2002 and March of 2011. Uni- and multi- variate analyses were performed to identify risk factors by Cox’s proportional hazard analyses. Results: P-RFS was 64.3% at 3 years and 58.8% at 5 years. A total of 18 patients were diagnosed with peritoneal recurrence. Macroscopic tumor diameter, depth of tumor invasion, and lymph node metastasis were the significant factors by univariate analysis, while tumor diameter and lymph node metastasis were the only significant independent risk factors by multivariate analysis. Conclusions: The macroscopic tumor diameter and lymph node metastasis were the most important risk factors for P-RFS. When patients had these risk factors, S-1 was not sufficient to inhibit peritoneal recurrence. When developing a novel adjuvant chemotherapy targeting peritoneal metastasis in the future, clinical trials should be limited to these patients.

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