Exosome-derived noncoding RNAs in gastric cancer: functions and clinical applications

XH Tang, T Guo, XY Gao, XL Wu, XF Xing, JF Ji, ZY Li - Molecular cancer, 2021 - Springer
Exosomes are a subpopulation of the tumour microenvironment (TME) that transmit various
biological molecules to promote intercellular communication. Exosomes are derived from …

Integration of genomic biology into therapeutic strategies of gastric cancer peritoneal metastasis

YX Gwee, DKA Chia, J So, W Ceelen… - Journal of Clinical …, 2022 - ascopubs.org
The peritoneum is a common site of metastasis in advanced gastric cancer (GC). Diagnostic
laparoscopy is now routinely performed as part of disease staging, leading to an earlier …

[HTML][HTML] Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

D Dong, MJ Fang, L Tang, XH Shan, JB Gao… - Annals of oncology, 2020 - Elsevier
Background Preoperative evaluation of the number of lymph node metastasis (LNM) is the
basis of individual treatment of locally advanced gastric cancer (LAGC). However, the …

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

Y Jiang, Z Zhang, Q Yuan, W Wang, H Wang… - The Lancet Digital …, 2022 - thelancet.com
Background Peritoneal recurrence is the predominant pattern of relapse after curative-intent
surgery for gastric cancer and portends a dismal prognosis. Accurate individualised …

Prognostic value of deep learning PET/CT-based radiomics: potential role for future individual induction chemotherapy in advanced nasopharyngeal carcinoma

H Peng, D Dong, MJ Fang, L Li, LL Tang, L Chen… - Clinical Cancer …, 2019 - AACR
Purpose: We aimed to evaluate the value of deep learning on positron emission tomography
with computed tomography (PET/CT)–based radiomics for individual induction …

A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: a …

Y Cui, J Zhang, Z Li, K Wei, Y Lei, J Ren, L Wu… - …, 2022 - thelancet.com
Background Accurate prediction of treatment response to neoadjuvant chemotherapy
(NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for …

Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram

D Chen, Z Liu, W Liu, M Fu, W Jiang, S Xu… - Nature …, 2021 - nature.com
Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is
crucial in clinic. The presence of collagen in the tumour microenvironment affects the …

[HTML][HTML] Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker

B He, D Dong, Y She, C Zhou, M Fang… - … for immunotherapy of …, 2020 - ncbi.nlm.nih.gov
Background Tumor mutational burden (TMB) is a significant predictor of immune checkpoint
inhibitors (ICIs) efficacy. This study investigated the correlation between deep learning …

[HTML][HTML] The lncRNA BDNF-AS/WDR5/FBXW7 axis mediates ferroptosis in gastric cancer peritoneal metastasis by regulating VDAC3 ubiquitination

G Huang, Z Xiang, H Wu, Q He, R Dou… - … journal of biological …, 2022 - ncbi.nlm.nih.gov
Ferroptosis is a novel form of cell death that is closely associated with the formation of many
tumors. Our study focused on the mechanism by which long noncoding RNAs (lncRNAs) …

Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients

J Yan, B Zhang, S Zhang, J Cheng, X Liu… - NPJ Precision …, 2021 - nature.com
Gliomas can be classified into five molecular groups based on the status of IDH mutation,
1p/19q codeletion, and TERT promoter mutation, whereas they need to be obtained by …