Evidence map›Paper›PMID 38727742›Full record

ArticleAbdominal radiology (New York)2024

Clinical calculator based on CT and clinicopathologic characteristics predicts short-term prognosis following resection of microsatellite-stabilized diffuse gastric cancer.

Pengpeng Liu, Ping'an Ding, Honghai Guo, Jiaxuan Yang, Haotian Wu, Jiaxiang Wu, Peigang Yang, Qun Zhao

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Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Pengpeng Liu *The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Ping'an Ding *The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Honghai GuoThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Jiaxuan YangThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Haotian WuThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Jiaxiang WuThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Peigang YangThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Qun ZhaoThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China. zhaoqun@hebmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough microsatellite stability/Epithelial-mesenchymal transition (MSS/EMT) subtypes have been reported in multiple cancer prognosis studies, strong confounding factors between MSS/EMT (usually with Lauren's diffuse phenotype) and diffuse gastric cancer (GC) may obscure the independent prognostic value of diffuse GC. Additionally, recent studies suggest a strong correlation between mural stratification based on CT and diffuse GC. This study aims to investigate potential prognostic factors of MSS diffuse GC using mural stratification and to develop a risk assessment model.

methodsThis retrospective study included 131 patients with MSS diffuse GC who underwent radical surgery. Univariate and multivariate Cox proportional hazards regression analysis was used to identify model predictors and construct a nomogram for overall survival (OS) and recurrence-free survival (RFS) risks. The model's performance was evaluated using ROC, accuracy, and C-index. Internal validation of the model was conducted using the bootstrap resampling method.

resultsAmong 131 cases, 60 cases (45.8%) exhibited grade 2 mural stratification, which correlated with a poorer tumor prognosis and a more invasive phenotype. Furthermore, a nomogram for predicting OS and RFS prognosis was established based on multivariate results (age, extranodal invasion, mural stratification, and/or P53). The nomogram demonstrated excellent performance, with an AUC of 0.859 (95% CI 0.794-0.924) for OS and 0.859 (95% CI 0.789-0.929) for RFS. Internal validation using 1000 bootstrap samples yielded AUC values of 0.845 and 0.846 for OS and RFS, respectively.

conclusionGrade 2 mural stratification based on CT imaging revealed a more aggressive invasive phenotype, characterized by increased LN metastasis, higher rates of peritoneal metastasis, and a poorer short-term prognosis. Furthermore, the CT phenotype-based nomogram demonstrates favorable discrimination and calibration, enabling convenient individual short-term prognostic evaluation following resection of MSS diffuse GC.

Indexed as

NomogramsStomach NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMicrosatellite InstabilityMiddle AgedPrognosisRetrospective StudiesRisk AssessmentContrast MediaDiffuse histotypeGastric cancerMicrosatellite-stableMultidetector computed tomographyPrognosis

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PMID38727742

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.