scholarly journals Risk factors for lymph node metastasis and prognosis in colorectal neuroendocrine tumours

2022 ◽  
Author(s):  
Xiuli Zheng ◽  
Mingli Wu ◽  
Limian Er ◽  
Huiyan Deng ◽  
Gongning Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Distant Metastasis ◽  
Lymphovascular Invasion ◽  
Neuroendocrine Tumours ◽  
Tumour Size ◽  
Node Metastasis ◽  
Independent Risk Factors

Abstract Purpose The detection rate of colorectal neuroendocrine tumours (CR-NETs) is increasing, but their treatment is still controversial. Lymph node metastasis is an important reference index for the selection of treatment. The aim of our study was to investigate the factors associated with lymph node metastasis and prognosis of CR-NETs. Methods The case characteristics of patients with colorectal neuroendocrine tumours from January 2011 to December 2020 were retrospectively analysed, including age, gender, tumour size, tumour location, lymph node metastasis, pathological grade and follow-up. Results A total of 195 cases of CR-NETs were included in this study. When 15 mm was used as the cut-off value, the sensitivity, specificity and area under the curve (AUC) of lymph node metastases were 95.9%, 95.2% and 0.986, respectively. Multivariate analysis suggested that tumour size ≥ 15 mm (OR: 30.517, 95% CI: 1.250 ~ 744.996, p = 0.036) and lymphovascular invasion (OR: 42.796, 95% CI: 2.882 ~ 635.571, p = 0.006) were independent risk factors for lymph node metastasis. Age ≥ 56 (HR: 7.434, 95% CI: 1.334 ~ 41.443, p = 0.022) and distant metastasis (HR: 24.487, 95% CI: 5.357 ~ 111.940, p < 0.001) were independent prognostic factors in multivariable analyses. Conclusions When the size of a CR-NET is ≥ 15 mm, the risk of lymph node metastasis is higher, and it is recommended to choose the surgical method carefully. Tumour size and lymphovascular invasion were independent risk factors for lymph node metastasis. Age ≥ 56 and distant metastasis were independent prognostic factors.

A practical nomogram predicting the prognosis of hepatocellular carcinoma patients with lymph node metastasis: A population-based analysis

2020 ◽  
Author(s):  
Kai Zhang ◽  
Changcheng Tao ◽  
Jianxiong Wu ◽  
Weiqi Rong
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Cox Regression ◽  
Lymph Nodes Metastasis ◽  
Node Metastasis ◽  
Independent Risk Factors

Abstract Background: Lymph node (LN) metastasis is associated with poor survival outcomes in patients with hepatocellular carcinoma (HCC) patients and because of the reported low probability of lymph node metastasis, research into the Anchorprognoses of such patients is difficult to conduct. In this study, we aimed to develop a nomogram model to predict the prognosis of HCC patients with lymph node metastasis. Methods: HCC patients diagnosed with LN metastasis from 2010 to 2015 were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate Cox regression and lasso regression were used to screen prognostic factors. Cox multiple-factor analysis was used to investigate the independent risk factors for survival. We developed a prognostic nomograms using these independent risk factors. The predictive performance of our nomogram model was evaluated according to the concordance index (C-index) and calibration curve. The net clinical benefit was assessed via decision curve analysis (DCA). Patients were divided into different risk groups according to the model. A survival curve was drawn using the Kaplan-Meier method and the difference was compared by the log-rank test. Results: There were 944 patients in the training cohort and 402 patients in the validation cohort. Grade, T stage, surgery to the liver, chemotherapy, radiation recode, AFP, fibrosis score, tumor size group, M stage were selected as independent prognostic factors, and we developed nomograms using these variables. The calibration curves for probability of survival showed good agreement between the prediction by our model and actual observation in both the training and validation groups. DCA indicated that the nomogram had positive net benefits. Conclusions: The nomogram can accurately predict the prognosis of HCC patients with lymph nodes metastasis and provide a reasonable basis for treatment. Keywords: Hepatocellular carcinoma, prognosis, lymph nodes metastasis, prediction model, nomogram

Risk factors for lymph node metastasis in submucosally invasive colorectal cancer.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 542-542
Author(s):  
Liyong Huang ◽  
Xinxiang Li ◽  
Sanjun Cai
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Growth Pattern ◽  
Lymphovascular Invasion ◽  
Invasive Front ◽  
Node Metastasis ◽  
Independent Risk Factors ◽  
Histopathological Type

542 Background: The aim of this study was to identify risk factors for lymph node metastasis (LNM) in submucosally invasive colorectal cancer (SICC) that might be used in selecting patients for local excision. Methods: Records were reviewed from consecutive patients who had undergone curative resection of SICC at the Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China, between 2006 and 2013. Clinical features such as age, gender, tumor size, and location were reviewed. Histopathologic examinations including tumor growth type, growth pattern at the invasive front, histopathological type, depth of tumor invasion, tumor budding, lymphovascular invasion, and neural invasion were performed. The expression of E-cadherin, p53, and Ki-67 were examined by immunohistochemistry. The association between the clinicopathologic factors and LNM was evaluated. Results: A total of 265 patients (140 men and 125 women) treated for SICC were included. The overall LNM rate was 12.8%. The incidence of LNM was significantly associated with growth pattern at the invasive front (p=0.028), tumor budding (p=0.006), histopathological type (p<0.001), and lymphovascular invasion (p<0.001). Other clinicopathologic and immunohistochemical factors were irrelevant to LNM. In multiple variable logistic analysis, histopathological type, and lymphovascular invasion were the two independent risk factors of LNM (p=0.015 and p=0.007, respectively). Conclusions: Histopathological type and lymphovascular invasion are significant independent risk factors for LNM in SICC. Careful selection for local excision in SICC should be considered.

scholarly journals The role of microvessel density, lymph node metastasis, and tumor size as prognostic factors of distant metastasis in colorectal cancer

2017 ◽  
Vol 13 (6) ◽  
pp. 4327-4333 ◽  
Author(s):  
Tomonari Cho ◽  
Eisuke Shiozawa ◽  
Fumihiko Urushibara ◽  
Nana Arai ◽  
Toshitaka Funaki ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Distant Metastasis ◽  
Microvessel Density ◽  
Tumor Size ◽  
Node Metastasis

scholarly journals Development of Nomograms for Predicting Lymph Node Metastasis and Distant Metastasis in Newly Diagnosed T1-2 Non-Small Cell Lung Cancer: A Population-Based Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Yiming Qi ◽  
Shuangshuang Wu ◽  
Linghui Tao ◽  
Yunfu Shi ◽  
Wenjuan Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Distant Metastasis ◽  
Tumor Size ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis

BackgroundFor different lymph node metastasis (LNM) and distant metastasis (DM), the diagnosis, treatment and prognosis of T1-2 non-small cell lung cancer (NSCLC) are different. It is essential to figure out the risk factors and establish prediction models related to LNM and DM.MethodsBased on the surveillance, epidemiology, and end results (SEER) database from 1973 to 2015, a total of 43,156 eligible T1-2 NSCLC patients were enrolled in the retrospective study. Logistic regression analysis was used to determine the risk factors of LNM and DM. Risk factors were applied to construct the nomograms of LNM and DM. The predictive nomograms were discriminated against and evaluated by Concordance index (C-index) and calibration plots, respectively. Decision curve analysis (DCAs) was accepted to measure the clinical application of the nomogram. Cumulative incidence function (CIF) was performed further to detect the prognostic role of LNM and DM in NSCLC-specific death (NCSD).ResultsEight factors (age at diagnosis, race, sex, histology, T-stage, marital status, tumor size, and grade) were significant in predicting LNM and nine factors (race, sex, histology, T-stage, N-stage, marital status, tumor size, grade, and laterality) were important in predicting DM(all, P&lt; 0.05). The calibration curves displayed that the prediction nomograms were effective and discriminative, of which the C-index were 0.723 and 0.808. The DCAs and clinical impact curves exhibited that the prediction nomograms were clinically effective.ConclusionsThe newly constructed nomograms can objectively and accurately predict LNM and DM in patients suffering from T1-2 NSCLC, which may help clinicians make individual clinical decisions before clinical management.

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 Effects of Concentrated Growth Factor and Cervical Lymph Node Metastasis on the Prognosis of Mucoepidermoid Carcinoma of the Parotid Gland

2020 ◽  
Vol 4 (1) ◽  
pp. 45-50
Author(s):  
Shang-Zhi Han ◽  
Xin Lv ◽  
Xi-Bo Chen ◽  
Ying-Ying Xu ◽  
Rui Liu ◽  
...  
Keyword(s):  
Lymph Node ◽  
Survival Rate ◽  
Lymph Node Metastasis ◽  
Parotid Gland ◽  
Distant Metastasis ◽  
Mucoepidermoid Carcinoma ◽  
Cervical Lymph Node Metastasis ◽  
Pathological Grade ◽  
Node Metastasis ◽  
Independent Risk Factors

Introduction: Mucoepidermoid carcinoma (MEC) is a common salivary gland malignancy. As studies reported on large cases of mucoepidermoid carcinoma of the parotid glands are few, this paper aims to research the effects of clinical and pathological factors, such as applying concentrated growth factor (CGF) on repairing and cervical lymph node metastasis, on the prognosis of mucoepidermoid carcinoma of the parotid gland. Methods: The retrospective analysis of prognostic factors was conducted based on 176 cases with mucoepidermoidcarcinoma of the parotid gland, who received treatment at the Affiliated Hospital of  Chengde Medical College during the period of March 2000 to March 2012. Results: The Five-year overall survival rate was 75.57%, while the Five-year tumor-free survival rate was 64.77%. Univariate analysis showed that the influential factors for the prognosis of mucoepidermoid carcinoma of the parotid gland included surgical approach, tumor size, clinical stage, pathological grade, lymph node metastasis, and distant metastasis, etc; among which pathological grade, lymph node metastasis, and distant metastasis were indicated by multivariate analysis to be the independent risk factors. Conclusion: The survival rate of mucoepidermoid carcinoma of the parotid gland is relatively high. Lymph node metastasis, pathological grade, and distant metastasis are the independent risk factors that affect the prognosis of patients with mucous epidermis carcinoma of the parotid gland.

scholarly journals Expression of CK-19 in Papillary Thyroid Carcinoma and Its Association with Prognostic Factors - A Cross-Sectional Study

2021 ◽  
Vol 10 (11) ◽  
pp. 813-818
Author(s):  
Revathy V.J. ◽  
Sarath Kumar A
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Papillary Thyroid Carcinoma ◽  
Lymph Node Metastasis ◽  
Tumour Size ◽  
Cross Sectional Study ◽  
Papillary Thyroid ◽  
Sectional Study ◽  
Cross Sectional ◽  
Node Metastasis

BACKGROUND Papillary thyroid carcinomas (PTC) are the most common carcinomas of the thyroid. Diagnosis of PTC is with its distinct nuclear features. Prognosis of PTC is favourable but can also be aggressive as demonstrated by its recurrence. So, we wanted to improve the present diagnostic tools to identify cases with aggressive course. Immunohistochemistry (IHC) markers which are thought to be useful are CK-19 and CD56. METHODS This is a cross sectional study, done in the Department of Pathology, Government Medical College, Thiruvananthapuram from January 2018 to May 2019. Histopathology slides were prepared from 80 samples, IHCs performed, and the data was analysed using statistical software SPSS version 23.0. RESULTS The classic variant was the most common. In the study, predominant population was below 45 years. There was a female predominance and majority of cases had a tumour size of more than 1 cm. 23.8 % of the cases showed lymph node metastasis. On evaluating CK-19 expression in PTC, 98.75 % showed a positive expression, but there was no association between CK-19 expression and factors like age, gender, tumour size, and lymph node metastasis. 96.3 % of cases showed a loss of expression of CD56. CONCLUSIONS Both CK-19 and CD56 can be used together as markers for PTC including all their variants but CK-19 cannot be used to assess the prognosis of PTC as no association was identified in the study between the expression of CK-19 and prognostic factors. KEY WORDS Papillary Thyroid Carcinoma, Immunohistochemistry

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.

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.

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