Multi-Disease Prediction Based on Deep Learning: A Survey DOI Open Access
Shuxuan Xie, Zengchen Yu,

Zhihan Lv

et al.

Computer Modeling in Engineering & Sciences, Journal Year: 2021, Volume and Issue: 128(2), P. 489 - 522

Published: Jan. 1, 2021

In recent years, the development of artificial intelligence (AI) and gradual beginning AI’s research in medical field have allowed people to see excellent prospects integration AI healthcare. Among them, hot deep learning has shown greater potential applications such as disease prediction drug response prediction. From initial logistic regression model machine model, then today, accuracy been continuously improved, performance all aspects also significantly improved. This article introduces some basic frameworks common diseases, summarizes methods corresponding different diseases. Point out a series problems current prediction, make prospect for future development. It aims clarify effectiveness demonstrates high correlation between The unique feature extraction can still play an important role research.

Language: Английский

Comprehensive review of targeted therapy for colorectal cancer DOI Creative Commons
Yuanhong Xie, Yingxuan Chen, Jing‐Yuan Fang

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2020, Volume and Issue: 5(1)

Published: March 20, 2020

Abstract Colorectal cancer (CRC) is among the most lethal and prevalent malignancies in world was responsible for nearly 881,000 cancer-related deaths 2018. Surgery chemotherapy have long been first choices patients. However, prognosis of CRC has never satisfying, especially patients with metastatic lesions. Targeted therapy a new optional approach that successfully prolonged overall survival Following successes anti-EGFR (epidermal growth factor receptor) agent cetuximab anti-angiogenesis bevacizumab, agents blocking different critical pathways as well immune checkpoints are emerging at an unprecedented rate. Guidelines worldwide currently updating recommended targeted drugs on basis increasing number high-quality clinical trials. This review provides overview existing CRC-targeted their underlying mechanisms, discussion limitations future trends.

Language: Английский

Citations

1326

Metastatic colorectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up DOI Creative Commons
Andrés Cervantes,

R. Adam,

Susana Roselló

et al.

Annals of Oncology, Journal Year: 2022, Volume and Issue: 34(1), P. 10 - 32

Published: Oct. 25, 2022

Language: Английский

Citations

941

Epigenetics of colorectal cancer: biomarker and therapeutic potential DOI
Gerhard Jung, Eva Hernández‐Illán, Leticia Moreira

et al.

Nature Reviews Gastroenterology & Hepatology, Journal Year: 2020, Volume and Issue: 17(2), P. 111 - 130

Published: Jan. 3, 2020

Language: Английский

Citations

619

Lineage-dependent gene expression programs influence the immune landscape of colorectal cancer DOI
Hae‐Ock Lee, Yourae Hong, Hakki Emre Etlioglu

et al.

Nature Genetics, Journal Year: 2020, Volume and Issue: 52(6), P. 594 - 603

Published: May 25, 2020

Language: Английский

Citations

572

CircHIPK3 promotes colorectal cancer growth and metastasis by sponging miR-7 DOI Creative Commons

Kaixuan Zeng,

Xiaoxiang Chen, Mu Xu

et al.

Cell Death and Disease, Journal Year: 2018, Volume and Issue: 9(4)

Published: March 16, 2018

Abstract Mounting evidences indicate that circular RNAs (circRNAs) have a vital role in human diseases, especially cancers. More recently, circHIPK3, particularly abundant circRNA, was proposed to be involved tumorigenesis. However, its colorectal cancer (CRC) has not been explored. In this study, we found circHIPK3 significantly upregulated CRC tissues and cell lines, at least part, due c-Myb overexpression positively correlated with metastasis advanced clinical stage. Moreover, Cox multivariate survival analysis showed high-level expression of an independent prognostic factor poor overall (OS) (hazard ratio [HR] = 2.75, 95% confidence interval [CI] 1.74–6.51, p 0.009). Functionally, knockdown markedly inhibited cells proliferation, migration, invasion, induced apoptosis vitro suppressed growth vivo. Mechanistically, by using biotinylated-circHIPK3 probe perform RNA pull-down assay cells, identified miR-7 the only one microRNA abundantly pulled down both HCT116 HT29 these interactions were also confirmed biotinylated dual-luciferase reporter assays. Overexpression mimicked effect on apoptosis. Furthermore, ectopic effectively reversed miR-7-induced attenuation malignant phenotypes increasing levels targeting proto-oncogenes (FAK, IGF1R, EGFR, YY1). Remarkably, combination silencing gave better tumor suppression vivo than did or alone. Taken together, our data may considerable potential as biomarker CRC, support notion therapeutic c-Myb/circHIPK3/miR-7 axis promising treatment approach for patients.

Language: Английский

Citations

547

KRAS-IRF2 Axis Drives Immune Suppression and Immune Therapy Resistance in Colorectal Cancer DOI Creative Commons
Wenting Liao, Michael J. Overman,

Adam T. Boutin

et al.

Cancer Cell, Journal Year: 2019, Volume and Issue: 35(4), P. 559 - 572.e7

Published: March 21, 2019

Language: Английский

Citations

507

Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas DOI Creative Commons
Yang Liu, Nilay S. Sethi, Toshinori Hinoue

et al.

Cancer Cell, Journal Year: 2018, Volume and Issue: 33(4), P. 721 - 735.e8

Published: April 1, 2018

We analyzed 921 adenocarcinomas of the esophagus, stomach, colon, and rectum to examine shared distinguishing molecular characteristics gastrointestinal tract (GIACs). Hypermutated tumors were distinct regardless cancer type comprised those enriched for insertions/deletions, representing microsatellite instability cases with epigenetic silencing MLH1 in context CpG island methylator phenotype, plus elevated single-nucleotide variants associated mutations POLE. Tumors chromosomal diverse, gastroesophageal harboring fragmented genomes genomic doubling mutational signatures. identified a group colon lacking hypermutation aneuploidy termed genome stable DNA hypermethylation KRAS, SOX9, PCBP1.

Language: Английский

Citations

505

Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis DOI
Yu Fu, Alexander W. Jung, Ramón Viñas

et al.

Nature Cancer, Journal Year: 2020, Volume and Issue: 1(8), P. 800 - 810

Published: July 27, 2020

Language: Английский

Citations

502

Colorectal Cancer in Inflammatory Bowel Disease: Mechanisms and Management DOI Open Access
Shailja C. Shah, Steven H. Itzkowitz

Gastroenterology, Journal Year: 2021, Volume and Issue: 162(3), P. 715 - 730.e3

Published: Oct. 29, 2021

Language: Английский

Citations

477

Genetic Mechanisms of Immune Evasion in Colorectal Cancer DOI Open Access
Catherine S. Grasso, Marios Giannakis, Daniel K. Wells

et al.

Cancer Discovery, Journal Year: 2018, Volume and Issue: 8(6), P. 730 - 749

Published: March 7, 2018

Abstract To understand the genetic drivers of immune recognition and evasion in colorectal cancer, we analyzed 1,211 cancer primary tumor samples, including 179 classified as microsatellite instability–high (MSI-high). This set includes The Cancer Genome Atlas cohort 592 completed here. MSI-high, a hypermutated, immunogenic subtype had high rate significantly mutated genes important immune-modulating pathways antigen presentation machinery, biallelic losses B2M HLA due to copy-number alterations copy-neutral loss heterozygosity. WNT/β-catenin signaling were all subtypes, activated was correlated with absence T-cell infiltration. large-scale genomic analysis demonstrates that MSI-high cases frequently undergo an immunoediting process provides them events allowing escape despite mutational load frequent lymphocytic infiltration and, furthermore, tumors have methylation associated WNT exclusion. Significance: multi-omic reveals it should be possible better monitor resistance 15% respond blockade therapy also use inhibitors reverse exclusion 85% currently do not. Discov; 8(6); 730–49. ©2018 AACR. article is highlighted In Issue feature, p. 663

Language: Английский

Citations

448