Dataset Information

CCR7 as a predictive biomarker associated with computed tomography for the diagnosis of lymph node metastasis in bladder carcinoma.

ABSTRACT: The aim of the present study was to investigate whether the expression levels of CC-chemokine receptor 7 (CCR7) combined with computed tomography (CT) was associated with lymph node metastasis in bladder transitional cell carcinoma (BTCC). For this purpose, 115 cases of BTCC were analyzed at the Department of Urology of Xiangya Hospital, Central South University (Changsha, China). Preoperative CT scans of abdomen and pelvis, immunohistochemistry of CCR7 expression in the tumor specimens and pathological findings for lymph node metastasis were assessed. In addition, the sensitivity, specificity and accuracy of CCR7 and CT for the diagnosis of lymph node metastasis in BTCC were evaluated separately and jointly. The expression levels of CCR7 were observed to be significantly higher in BTCC than in normal controls (P<0.01). Multivariate analysis indicated that the overexpression of CCR7 was an independent predictor for lymph node metastasis in BTCC (P<0.05). The sensitivity, specificity and accuracy of CCR7 combined with CT scan for the diagnosis of lymph node metastasis in BTCC were 92.3, 83.6 and 70.0%, respectively. By contrast, the sensitivity, specificity and accuracy of CCR7 alone were 88.1, 69.9 and 76.5%, respectively, while the sensitivity, specificity and accuracy of CT alone were 52.4, 79.5 and 69.6%, respectively. The results of the present study indicated that CCR7 is an independent predictor of lymph node metastasis in BTCC. Therefore, the use of CCR7 combined with CT may improve the accuracy of the diagnosis of lymph node metastasis in BTCC.

SUBMITTER: Chen J

PROVIDER: S-EPMC4727088 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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CCR7 as a predictive biomarker associated with computed tomography for the diagnosis of lymph node metastasis in bladder carcinoma.

Chen Jinbo J Cui Y U YU Liu Longfei L Li Chao C Tang Yunhua Y Zhou X U XU Qi Lin L Zu Xiongbing X

Oncology letters 20151118 1

The aim of the present study was to investigate whether the expression levels of CC-chemokine receptor 7 (CCR7) combined with computed tomography (CT) was associated with lymph node metastasis in bladder transitional cell carcinoma (BTCC). For this purpose, 115 cases of BTCC were analyzed at the Department of Urology of Xiangya Hospital, Central South University (Changsha, China). Preoperative CT scans of abdomen and pelvis, immunohistochemistry of CCR7 expression in the tumor specimens and path ...[more]

PMID: 26870276

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Project description:BackgroundLymph node involvement significantly impacts the survival of gastric cancer patients and is a crucial factor in determining the appropriate treatment. This study aimed to evaluate the potential of enhanced computed tomography (CT)-based radiomics in predicting lymph node metastasis (LNM) and survival in patients with gastric cancer before surgery.MethodsRetrospective analysis of clinical data from 192 patients diagnosed with gastric carcinoma was conducted. The patients were randomly divided into a training cohort (n = 128) and a validation cohort (n = 64). Radiomic features of CT images were extracted using the Pyradiomics software platform, and distinctive features were further selected using a Lasso Cox regression model. Features significantly associated with LNM were identified through univariate and multivariate analyses and combined with radiomic scores to create a nomogram model for predicting lymph node involvement before surgery. The predictive performance of radiomics features, CT-reported lymph node status, and the nomogram model for LNM were compared in the training and validation cohorts by plotting receiver operating characteristic (ROC) curves. High-risk and low-risk groups were identified in both cohorts based on the cut-off value of 0.582 within the radiomics evaluation scheme, and survival rates were compared.ResultsSeven radiomic features were identified and selected, and patients were stratified into high-risk and low-risk groups using a 0.582 cut-off radiomics score. Univariate and multivariate analyses revealed that radiomics features, diabetes mellitus, Nutrition Risk Screening (NRS) 2002 score, and CT-reported lymph node status were significant predictors of LNM in patients with gastric cancer. A predictive nomogram model was developed by combining these predictors with the radiomics score, which accurately predicted LNM in gastric cancer patients before surgery and outperformed other models in terms of accuracy and sensitivity. The AUC values for the training and validation cohorts were 0.82 and 0.722, respectively. The high-risk and low-risk groups in both the training and validation cohorts showed significant differences in survival rates.ConclusionThe radiomics nomogram, based on contrast-enhanced computed tomography (CECT ), is a promising non-invasive tool for preoperatively predicting LNM in gastric cancer patients and postoperative survival.

Dataset Information

CCR7 as a predictive biomarker associated with computed tomography for the diagnosis of lymph node metastasis in bladder carcinoma.

Publications

CCR7 as a predictive biomarker associated with computed tomography for the diagnosis of lymph node metastasis in bladder carcinoma.

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