Deep learning in cancer diagnosis, prognosis and treatment selection

KA Tran, O Kondrashova, A Bradley, ED Williams… - Genome Medicine, 2021 - Springer
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

A global epidemic increase of an HPV‐induced tonsil and tongue base cancer–potential benefit from a pan‐gender use of HPV vaccine

A Näsman, J Du, T Dalianis - Journal of internal medicine, 2020 - Wiley Online Library
Abstract In 2007, human papillomavirus (HPV) type 16 was finally recognized as a risk
factor, besides smoking and alcohol, for oropharyngeal squamous cell carcinoma (OPSCC) …

Cancer of unknown primary: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up☆

A Krämer, T Bochtler, C Pauli, G Baciarello… - Annals of …, 2023 - annalsofoncology.org
CUP accounts for< 5% of cancers but, because of its high mortality rate, its relative
contribution to cancer deaths is higher. 1 The incidence of CUP has been declining …

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

W Jiao, G Atwal, P Polak, R Karlic, E Cuppen… - Nature …, 2020 - nature.com
In cancer, the primary tumour's organ of origin and histopathology are the strongest
determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic …

UV-associated mutations underlie the etiology of MCV-negative Merkel cell carcinomas

SQ Wong, K Waldeck, IA Vergara, J Schröder… - Cancer research, 2015 - AACR
Merkel cell carcinoma (MCC) is an uncommon, but highly malignant, cutaneous tumor.
Merkel cell polyoma virus (MCV) has been implicated in a majority of MCC tumors; however …

Comprehensive genomic profiling of carcinoma of unknown primary site: new routes to targeted therapies

JS Ross, K Wang, L Gay, GA Otto, E White… - JAMA …, 2015 - jamanetwork.com
Importance For carcinoma of unknown primary site (CUP), determining the primary tumor
site may be uninformative and often does not improve outcome. Objective To discover …

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence

Y Zhao, Z Pan, S Namburi, A Pattison, A Posner… - …, 2020 - thelancet.com
Background Cancer of unknown primary (CUP), representing approximately 3-5% of all
malignancies, is defined as metastatic cancer where a primary site of origin cannot be found …

Progress in refining the clinical management of cancer of unknown primary in the molecular era

E Rassy, N Pavlidis - Nature reviews Clinical oncology, 2020 - nature.com
Cancer of unknown primary (CUP) is an enigmatic disease entity encompassing
heterogeneous malignancies without a detectable primary tumour, despite a thorough …

Molecular characterisation and liquid biomarkers in Carcinoma of Unknown Primary (CUP): taking the 'U'out of 'CUP'

AM Conway, C Mitchell, E Kilgour, G Brady… - British journal of …, 2019 - nature.com
Abstract Cancers of Unknown Primary (CUP) comprise a heterogeneous clinical entity of
confirmed metastatic cancer where the primary site of origin is undetectable. It has a poor …

Cancer of unknown primary in the molecular era

S Kato, A Alsafar, V Walavalkar, J Hainsworth… - Trends in cancer, 2021 - cell.com
Cancer of unknown primary (CUP) is a rare malignancy that presents with metastatic
disease and no identifiable site of origin. Most patients have unfavorable features and …