Deep learning in cancer diagnosis, prognosis and treatment selection
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 …
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) …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
disease and no identifiable site of origin. Most patients have unfavorable features and …