Four-Point Computed Tomography Scores for Evaluation of Occult Peritoneal Metastasis in Patients with Gastric Cancer: A Region-to-Region Comparison with Staging Laparoscopy

Li, Ziyu; Tang, Lei; Li, Zhemin; Li, Yanling; Fu, Jia; Zhang, Yan; Li, Xiaoting; Ying, Xiangji; Ji, Jiafu

doi:10.1245/s10434-019-07812-y

Cited by 20 publications

(26 citation statements)

References 15 publications

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“…Among the 385 patients analyzed, diagnostic laparoscopy found hidden peritoneal metastases in 33 (8.5%). The main site was the greater omentum (38.6%), followed by the parietal and perihepatic peritoneum (22.8%) 24 . Ramos et al (2016) carried out a systematic review with meta-analysis including 240 patients.…”

Section: Resultsmentioning

confidence: 99%

Brazilian Gastric Cancer Association Guidelines (Part 1): An Update on Diagnosis, Staging, Endoscopic Treatment and Follow-Up

Barchi¹,

Ramos²,

Yagi³

et al. 2020

ABCD, arq. bras. cir. dig.

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Background: The II Brazilian Consensus on Gastric Cancer by the Brazilian Gastric Cancer Association (ABCG) was recently published. On this occasion, several experts in gastric cancer expressed their opinion before the statements presented. Aim: To present the ABCG Guidelines (part 1) regarding the diagnosis, staging, endoscopic treatment and follow-up of gastric cancer patients. Methods: To forge these Guidelines, the authors carried out an extensive and current review regarding each statement present in the II Consensus, using the Medline/PubMed, Cochrane Library and SciELO databases with the following descriptors: gastric cancer, staging, endoscopic treatment and follow-up. In addition, each statement was classified according to the level of evidence and degree of recommendation. Results: Of the 24 statements, two (8.3%) were classified with level of evidence A, 11 (45.8%) with B and 11 (45.8%) with C. As for the degree of recommendation, six (25%) statements obtained grade of recommendation 1, nine (37.5%) recommendation 2a, six (25%) 2b and three (12.5%) grade 3. Conclusion: The guidelines presented here are intended to assist professionals working in the fight against gastric cancer with relevant and current information, granting them to be applied in the daily medical practice.

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Section: Resultsmentioning

confidence: 99%

Brazilian Gastric Cancer Association Guidelines (Part 1): An Update on Diagnosis, Staging, Endoscopic Treatment and Follow-Up

Barchi¹,

Ramos²,

Yagi³

et al. 2020

ABCD, arq. bras. cir. dig.

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“…Recently, Dong et al developed an OPM prediction model based on radiomics features, including three predictors (RS1, RS2, and Lauren's type), and the model showed an excellent ability to predict OPM (AUC = 0.958) [ 7 ]. With the continuous improvement of detection equipment and algorithm technology, a promising diagnostic method for OPM could arise from combining radiologic characteristics and other clinicopathological parameters [ 42 , 43 ].…”

Section: Discussionmentioning

confidence: 99%

A Nomogram Based on Clinicopathologic Features and Preoperative Hematology Parameters to Predict Occult Peritoneal Metastasis of Gastric Cancer: A Single-Center Retrospective Study

Yang

Huang

et al. 2020

Disease Markers

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Background. In patients with gastric cancer (GC), peritoneal metastasis is an indication of the end stage and often indicates a poor outcome. The diagnosis of peritoneal metastasis, especially occult peritoneal metastasis (OPM), remains a challenge for surgeons. This study was designed to explore the relationship between OPM and clinicopathological characteristics and preoperative hematological parameters in patients with GC and to develop a nomogram to predict the probability of OPM before surgery. Methods. A total of 672 patients with GC from our center were included, including 583 OPM-negative and 89 OPM-positive patients. These patients were divided into training and validation groups based on when they received treatment. OPM was diagnosed during surgery in patients without any signs of metastasis through imaging examination. Predictive factors were screened by least absolute shrinkage and selection operator logistic regression of all 18 characteristics. The nomogram of OPM was constructed based on these filtered variables. The discriminative and calibration performance of the model were simultaneously evaluated. Results. A total of six variables, including tumor size, degree of differentiation, depth of invasion, Glasgow prognosis score, and plasma levels of CA125 and fibrinogen, were selected for integration into the final predictive nomogram. The area under curve (AUC) of the nomogram with six factors was 0.906 (95% confidence interval (CI): 0.872-0.941) and 0.889 (95% CI: 0.795-0.984) in the training and validation groups, respectively. Calibration plots of the nomogram in the two sets revealed a good consistency between predicted and actual probabilities. Decision curve analysis showed that the nomogram had a positive net benefit among all threshold probabilities between 0% and 82%. This nomogram was superior to models incorporating only clinicopathologic or hematologic features. Conclusion. Both clinicopathological and preoperative hematological parameters are significantly associated with OPM. The nomogram constructed with six factors could be used to calculate the probability of OPM and identify the high-risk population in GC. This may be helpful for early detection of OPM in patients with GC.

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“…Nevertheless, these methods have an invasive nature, are time-consuming, are expensive, and result in complications including intra-abdominal organ iatrogenic damages, hemorrhage, as well as infections (26). Recently, the main non-invasive diagnostic methods for peritoneal metastasis are imaging examinations, such as computed tomography (CT), positron emission tomography-computed tomography (PET-CT), and magnetic resonance imaging (MRI); however, all of them lack diagnostic accuracy for early micrometastatic lesions (27,28). In recent years, researches had undertaken efforts to develop several biomarkers in identifying GC patients with peritoneal metastasis (29)(30)(31).…”

Section: Discussionmentioning

confidence: 99%

High Level of Legumain Was Correlated With Worse Prognosis and Peritoneal Metastasis in Gastric Cancer Patients

et al. 2020

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Background: Accumulating evidence has demonstrated that legumain (LGMN) is abnormally expressed in several malignancies and functions as an oncogene. However, the association between LGMN and gastric cancer (GC) has not yet been fully elucidated. In this study, we performed a comprehensive analysis of the role of LGMN in clinicopathologic characteristics and survival of GC patients. Methods: The study had two patient cohorts, The Cancer Genome Atlas (TCGA) cohort and the Zhongshan Hospital cohort, both of which were used to analyze the role of LGMN in GC samples. The relationship between LGMN and clinicopathologic characteristics was determined by the Chi-square test and logistic regression analysis. The Kaplan-Meier method and Cox proportional hazards regression analysis were conducted to investigate the prognostic role of LGMN in GC patients. Moreover, a nomogram was constructed based on the factors that were independently associated with peritoneal metastasis. Finally, the gene set enrichment analysis (GSEA) was conducted to explore the underlying pathways through which LGMN was involved in GC progression. Results: The mRNA and protein levels of LGMN were significantly upregulated in GC tissues, especially for diffuse-type GC. High level of LGMN was independently associated with poor prognosis in both TCGA and Zhongshan cohorts. Further analysis showed that increased protein level of LGMN was related to peritoneal metastasis in GC patients. In a nomogram model, the LGMN expression could help predict the possibility of peritoneal metastasis in GC patients. LGMN was a strong determinant for prediction of peritoneal metastasis. GC patients with high LGMN expression tended to have worse survival together with more frequent diffuse-type tumors and increased risk of peritoneal metastasis. The GSEA results showed that focal adhesion, ecm receptor interaction, cell adhesion molecules cams, TGF-β signaling pathway, JAK-STAT signaling pathway, gap junction, etc. were differentially enriched in the phenotype with high LGMN expression. Wang et al. Legumain for Peritoneal Metastasis in GC Conclusion: LGMN was an independent prognostic factor for OS in GC patients. Increased expression of LGMN was significantly associated with peritoneal metastasis. The nomogram based on LGMN might guide the clinical decisions for patients with GC.

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Four-Point Computed Tomography Scores for Evaluation of Occult Peritoneal Metastasis in Patients with Gastric Cancer: A Region-to-Region Comparison with Staging Laparoscopy

Cited by 20 publications

References 15 publications

Brazilian Gastric Cancer Association Guidelines (Part 1): An Update on Diagnosis, Staging, Endoscopic Treatment and Follow-Up

Brazilian Gastric Cancer Association Guidelines (Part 1): An Update on Diagnosis, Staging, Endoscopic Treatment and Follow-Up

A Nomogram Based on Clinicopathologic Features and Preoperative Hematology Parameters to Predict Occult Peritoneal Metastasis of Gastric Cancer: A Single-Center Retrospective Study

High Level of Legumain Was Correlated With Worse Prognosis and Peritoneal Metastasis in Gastric Cancer Patients

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