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Impact of risk factors on early cancer evolution
Recent identification of oncogenic cells within healthy tissues and the prevalence of indolent
cancers found incidentally at autopsies reveal a greater complexity in tumor initiation than …
cancers found incidentally at autopsies reveal a greater complexity in tumor initiation than …
Advances in diagnosis and management of cancer of the esophagus
Esophageal cancer is the seventh most common malignancy worldwide, with over 470 000
new cases diagnosed each year. Two distinct histological subtypes predominate, and …
new cases diagnosed each year. Two distinct histological subtypes predominate, and …
Extrachromosomal DNA in the cancerous transformation of Barrett's oesophagus
Oncogene amplification on extrachromosomal DNA (ecDNA) drives the evolution of tumours
and their resistance to treatment, and is associated with poor outcomes for patients with …
and their resistance to treatment, and is associated with poor outcomes for patients with …
Molecular phenoty** reveals the identity of Barrett's esophagus and its malignant transition
The origin of human metaplastic states and their propensity for cancer is poorly understood.
Barrett's esophagus is a common metaplastic condition that increases the risk for …
Barrett's esophagus is a common metaplastic condition that increases the risk for …
[HTML][HTML] Distinct classes of complex structural variation uncovered across thousands of cancer genome graphs
Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many of
which cannot be easily classified into simple (eg, deletion) or complex (eg, chromothripsis) …
which cannot be easily classified into simple (eg, deletion) or complex (eg, chromothripsis) …
Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
Esophageal squamous-cell carcinoma (ESCC), one of the most prevalent and lethal
malignant disease, has a complex but unknown tumor ecosystem. Here, we investigate the …
malignant disease, has a complex but unknown tumor ecosystem. Here, we investigate the …
[HTML][HTML] A deep learning framework for predicting response to therapy in cancer
A major challenge in cancer treatment is predicting clinical response to anti-cancer drugs on
a personalized basis. Using a pharmacogenomics database of 1,001 cancer cell lines, we …
a personalized basis. Using a pharmacogenomics database of 1,001 cancer cell lines, we …
SLNL: A novel method for gene selection and phenotype classification
One of the central tasks of genome research is to predict phenotypes and discover some
important gene biomarkers. However, there are three main problems in analyzing genomics …
important gene biomarkers. However, there are three main problems in analyzing genomics …
Whole-genome sequencing of 508 patients identifies key molecular features associated with poor prognosis in esophageal squamous cell carcinoma
Esophageal squamous cell carcinoma (ESCC) is a poor-prognosis cancer type with limited
understanding of its molecular etiology. Using 508 ESCC genomes, we identified five novel …
understanding of its molecular etiology. Using 508 ESCC genomes, we identified five novel …
Single-cell RNA sequencing unifies developmental programs of esophageal and gastric intestinal metaplasia
Intestinal metaplasia in the esophagus (Barrett's esophagus IM, or BE-IM) and stomach
(GIM) are considered precursors for esophageal and gastric adenocarcinoma, respectively …
(GIM) are considered precursors for esophageal and gastric adenocarcinoma, respectively …