scholarly journals Prediction of serosal invasion in gastric cancer: development and validation of multivariate models integrating preoperative clinicopathological features and radiographic findings based on late arterial phase CT images

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Song Liu ◽  
Mengying Xu ◽  
Xiangmei Qiao ◽  
Changfeng Ji ◽  
Lin Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Regression Analysis ◽  
Tumor Markers ◽  
Morphological Characteristics ◽  
Endoscopic Biopsy ◽  
Arterial Phase ◽  
Multivariate Models ◽  
Serosal Invasion ◽  
Texture Parameters ◽  
Differentiation Degree

Abstract Background To develop and validate multivariate models integrating endoscopic biopsy, tumor markers, and CT findings based on late arterial phase (LAP) to predict serosal invasion in gastric cancer (GC). Methods The preoperative differentiation degree, tumor markers, CT morphological characteristics, and CT value-related and texture parameters of 154 patients with GC were analyzed retrospectively. Multivariate models based on regression analysis and machine learning algorithms were performed to improve the diagnostic efficacy. Results The differentiation degree, carbohydrate antigen (CA) 199, CA724, CA242, and multiple CT findings based on LAP differed significantly between T1–3 and T4 GCs in the primary cohort (all P < 0.05). Multivariate models based on regression analysis and random forest achieved AUCs of 0.849 and 0.865 in the primary cohort, respectively. Conclusion We developed and validated multivariate models integrating endoscopic biopsy, tumor markers, CT morphological characteristics, and CT value-related and texture parameters to predict serosal invasion in GCs and achieved favorable performance.

scholarly journals Contribution of DECT in detecting serosal invasion of gastric cancer

2019 ◽  
Author(s):  
ALİ KÜPELİ ◽  
ESER BULUT ◽  
AYŞEGÜL CANSU ◽  
ALİ GÜNER ◽  
MEHMET SOYTÜRK ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Preoperative Staging ◽  
Area Under The Curve ◽  
Iodine Concentration ◽  
Arterial Phase ◽  
Fat Tissue ◽  
Serosal Invasion ◽  
Diagnostic Efficacy ◽  
Invasion Stage ◽  
Venous Phase

Purpose: To investigate the relationship between the iodine concentration (IC) of perigastric fat tissue as assessed by dual-energy computed tomography (DECT) and serosal invasion of gastric cancer. Materials and methods: A total of 41 patients underwent preoperative staging evaluation for gastric cancer using DECT between July 2015 and March 2018. Patients were divided into two groups based on pathology results: serosal invasion (stage T4a) and intact serosa (stage T1?T3). Cut-off values, the diagnostic efficacy of IC in the perigastric fat tissue, and the perigastric fat tissue/tumor (P/T) ratio were determined. Results: Among the 41 patients, 22 had stage T4a gastric cancer, and 19 patients had gastric cancer with a stage lower than T4a. The mean IC of perigastric fat tissue and the P/T ratio were significantly higher in patients with serosal invasion than in those with intact serosa (p<0.001). During the arterial phase, the area under the curve (AUC) was 0.915 and 0.854 for the IC of perigastric fat tissue and the P/T ratio, respectively. During the venous phase, the AUC was 0.890 and 0.876 for the IC of perigastric fat tissue and the P/T ratio, respectively. Conclusion: The IC in the perigastric fat tissue seems to be a reliable indicator for serosal invasion of gastric cancer.

Evaluation of hybrid PET/CT gastrography in gastric cancer

2013 ◽  
Vol 04 (06) ◽  
pp. 253-259
Author(s):  
J. Jeong ◽  
E. Kong ◽  
K. Chun ◽  
B. Jang ◽  
T. Kim ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Regional Lymph Node ◽  
Preoperative Evaluation ◽  
Cancer Staging ◽  
Diagnostic Value ◽  
Endoscopic Biopsy ◽  
Depth Of Invasion ◽  
Contrast Enhanced Ct ◽  
Pet Ct ◽  
Ct Gastrography

Summary Aim: With the recent advances in multidetector-row CT, a fusion of functional PET with three dimensional (3D) CT gastrography may provide enhanced diagnostic capability and help surgeons during preoperative planning. The diagnostic value of hybrid PET/CT gastrography was compared with that of conventional PET/CT alone in gastric cancer staging. Patients, methods: Patients with gastric cancer (n = 101) confirmed by endoscopic biopsy specimens underwent conventional PET/CT and regional PET with contrast enhanced CT, followed by gastrectomy with lymphadenectomy at our institution from November 2007 to November 2008. These images were fused into a hybrid PET/CT gastrography using the cardiac IQ fusion software. Conventional PET/CT and hybrid PET/ CT gastrography were evaluated for staging of gastric cancer. After gastrectomy, these were compared with pathologic reports respectively. Results: Gastric cancer was diagnosed as 50 early gastric cancer (EGC) and 51 advanced gastric cancer (AGC) on pathologic examination. In EGC, hybrid PET/CT gastrography and PET/CT identified 36 (72%) and 7 (14%) tumours, respectively. Hybrid PET/CT gastrography correctly delineated the subtype of 25 EGC. In AGC, all 51 (100%) tumours were identified on the hybrid PET/CT gastrography compared to 39 (76.5%) tumours on PET/CT. Hybrid PET/CT gastrography correctly classified the morphology of 42 AGC using the Bormann classification. Additionally, depth of invasion was correctly presented in 38 of 51 AGC. Hybrid PET/CT gastrography for regional lymph node (LN) metastasis in the EGC and AGC showed the sensitivity of 75% and 83.9%, and specificity 90.5% and 55%, respectively. Conclusion: Hybrid PET/CT gastrography is the more intuitive and comprehensive method for the preoperative evaluation of gastric cancer than conventional PET/CT.

scholarly journals Mixed adenoneuroendocrine carcinoma with loss of HER2 positivity after trastuzumab-based chemotherapy for HER2-positive gastric cancer: a case report

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Hiromi Nagata ◽  
Hironori Tsujimoto ◽  
Yoshihisa Yaguchi ◽  
Keita Kouzu ◽  
Yujiro Itazaki ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Rare Case ◽  
Metastatic Tumor ◽  
Endoscopic Biopsy ◽  
Her2 Status ◽  
Resected Specimen ◽  
Her2 Positive ◽  
Standard Regimen ◽  
Mixed Adenoneuroendocrine Carcinoma ◽  
Her2 Positivity

Abstract Background Trastuzumab (T-mab)-based chemotherapy is a standard regimen for human epithelial growth factor 2 (HER2)-positive gastric cancer. However, some patients have demonstrated a change in HER2 status after T-mab-based treatment of breast cancer. We report a rare case of mixed adenoneuroendocrine carcinoma with loss of HER2 positivity after T-mab-based chemotherapy for HER2-positive gastric cancer. Case presentation A 60-year-old man presented with a mass of the upper abdomen, which was diagnosed as adenocarcinoma with a HER2 score of 3+ by endoscopic biopsy. He received seven cycles of combination chemotherapy with capecitabine, cisplatin, and T-mab. Subsequently, he underwent open total gastrectomy, distal pancreatosplenectomy, and extended left hepatic lobectomy as a conversion surgery. The surgically resected specimen demonstrated both adenocarcinoma and neuroendocrine components; therefore, it was diagnosed as HER2-negative mixed adenoneuroendocrine carcinoma. Although the patient received additional chemotherapy, multiple liver metastases appeared at 3 months postoperatively and he died at 6 months postoperatively because of the rapidly progressing metastatic tumor. Conclusions We encountered a rare case of rapidly progressive mixed adenoneuroendocrine carcinoma that was negative for HER2 expression after T-mab treatment combined with chemotherapy.

scholarly journals Expression of LOX Suggests Poor Prognosis in Gastric Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Jinfeng Zhu ◽  
Chen Luo ◽  
Jiefeng Zhao ◽  
Xiaojian Zhu ◽  
Kang Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
High Expression ◽  
Expression Level ◽  
Cox Regression Analysis

Background: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Methods: The Wilcoxon rank-sum test was used to calculate the expression difference of LOX gene in gastric cancer and normal tissues. Western blot and immunohistochemical staining were used to evaluate the expression level of LOX protein in gastric cancer. Kaplan-Meier analysis was used to calculate the survival difference between the high expression group and the low expression group in gastric cancer. The relationship between statistical clinicopathological characteristics and LOX gene expression was analyzed by Wilcoxon or Kruskal-Wallis test and logistic regression. Univariate and multivariate Cox regression analysis was used to find independent risk factors affecting the prognosis of GC patients. Gene set enrichment analysis (GSEA) was used to screen the possible mechanisms of LOX and GC. The CIBERSORT calculation method was used to evaluate the distribution of tumor-infiltrating immune cell (TIC) abundance.Results: LOX is highly expressed in gastric cancer tissues and is significantly related to poor overall survival. Wilcoxon or Kruskal-Wallis test and Logistic regression analysis showed, LOX overexpression is significantly correlated with T-stage progression in gastric cancer. Multivariate Cox regression analysis on TCGA and GEO data found that LOX (all p &lt; 0.05) is an independent factor for poor GC prognosis. GSEA showed that high LOX expression is related to ECM receptor interaction, cancer, Hedgehog, TGF-beta, JAK-STAT, MAPK, Wnt, and mTOR signaling pathways. The expression level of LOX affects the immune activity of the tumor microenvironment in gastric cancer.Conclusion: High expression of LOX is a potential molecular indicator for poor prognosis of gastric cancer.

scholarly journals Development of a Survival Model Based on Autophagy-Associated Genes for Predicting Prognosis of Gastric Cancer

2020 ◽  
Author(s):  
Wanli Yang ◽  
Lili Duan ◽  
Xinhui Zhao ◽  
Liaoran Niu ◽  
Yiding Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Regression Analysis ◽  
Prediction Model ◽  
Roc Curve ◽  
Survival Model ◽  
Differentially Expressed ◽  
Lasso Regression ◽  
Prognosis Prediction ◽  
Cellular Processes ◽  
Model Based

Abstract Background: Gastric cancer (GC) is one of lethal diseases worldwide. Autophagy-associated genes play a crucial role in the cellular processes of GC. Our study aimed to investigate and identify the prognostic potential of autophagy-associated genes signature in GC. Methods: RNA-seq and clinical information of GC and normal controls were downloaded from The Cancer Genome Atlas (TCGA) database. Then, the Wilcoxon signed-rank test was used to pick out the differentially expressed autophagy-associated genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to investigate the potential roles and mechanisms of autophagy-associated genes in GC. Cox proportional hazard regression analysis and Lasso regression analysis were carried out to identify the overall survival (OS) related autophagy-associated genes, which were then collected to construct a predictive model. Kaplan-Meier method and receiver operating characteristic (ROC) curve were utilized to validate the accuracy of this model. Finally, a clinical nomogram was established by combining the clinical factors and autophagy-associated genes signature. Results: A total of 28 differentially expressed autophagy-associated genes were identified. GO and KEGG analyses revealed that several important cellular processes and signaling pathways were correlated with these genes. Through Cox regression and Lasso regression analyses, we identified 4 OS-related autophagy-associated genes (GRID2, ATG4D, GABARAPL2, and CXCR4) and constructed a prognosis prediction model. GC Patients with high-risk had a worse OS than those in low-risk group (5-year OS, 27.7% vs 38.3%; P=9.524e-07). The area under the ROC curve (AUC) of the prediction model was 0.67. The nomogram was demonstrated to perform better for predicting 3-year and 5-year survival possibility for GC patients with a concordance index (C-index) of 0.70 (95% CI: 0.65-0.72). The calibration curves also presented good concordance between nomogram-predicted survival and actual survival. Conclusions: We constructed and evaluated a survival model based on the autophagy-associated genes for GC patients, which may improve the prognosis prediction in GC.

Sign in / Sign up

Export Citation Format

Share Document