Predicting and affecting response to cancer therapy based on pathway-level biomarkers

Predicting and affecting response to cancer therapy based on pathway-level biomarkers

Predicting an individual's response to therapy is an important goal for precision medicine. Here, the authors use an algorithm that takes into account the interaction type and directionality of signalling pathways in protein–protein interactions and find that their pathway analysis can predict...

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Autores principales: Rotem Ben-Hamo, Adi Jacob Berger, Nancy Gavert, Mendy Miller, Guy Pines, Roni Oren, Eli Pikarsky, Cyril H. Benes, Tzahi Neuman, Yaara Zwang, Sol Efroni, Gad Getz, Ravid Straussman
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/af440b4d64314959a421c75b7dfbd17b
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spelling oai:doaj.org-article:af440b4d64314959a421c75b7dfbd17b2021-12-02T14:34:13ZPredicting and affecting response to cancer therapy based on pathway-level biomarkers10.1038/s41467-020-17090-y2041-1723https://doaj.org/article/af440b4d64314959a421c75b7dfbd17b2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17090-yhttps://doaj.org/toc/2041-1723Predicting an individual's response to therapy is an important goal for precision medicine. Here, the authors use an algorithm that takes into account the interaction type and directionality of signalling pathways in protein–protein interactions and find that their pathway analysis can predict essential genes, which may be a target for therapy.Rotem Ben-HamoAdi Jacob BergerNancy GavertMendy MillerGuy PinesRoni OrenEli PikarskyCyril H. BenesTzahi NeumanYaara ZwangSol EfroniGad GetzRavid StraussmanNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Rotem Ben-Hamo
Adi Jacob Berger
Nancy Gavert
Mendy Miller
Guy Pines
Roni Oren
Eli Pikarsky
Cyril H. Benes
Tzahi Neuman
Yaara Zwang
Sol Efroni
Gad Getz
Ravid Straussman
Predicting and affecting response to cancer therapy based on pathway-level biomarkers
description Predicting an individual's response to therapy is an important goal for precision medicine. Here, the authors use an algorithm that takes into account the interaction type and directionality of signalling pathways in protein–protein interactions and find that their pathway analysis can predict essential genes, which may be a target for therapy.
format article
author Rotem Ben-Hamo
Adi Jacob Berger
Nancy Gavert
Mendy Miller
Guy Pines
Roni Oren
Eli Pikarsky
Cyril H. Benes
Tzahi Neuman
Yaara Zwang
Sol Efroni
Gad Getz
Ravid Straussman
author_facet Rotem Ben-Hamo
Adi Jacob Berger
Nancy Gavert
Mendy Miller
Guy Pines
Roni Oren
Eli Pikarsky
Cyril H. Benes
Tzahi Neuman
Yaara Zwang
Sol Efroni
Gad Getz
Ravid Straussman
author_sort Rotem Ben-Hamo
title Predicting and affecting response to cancer therapy based on pathway-level biomarkers
title_short Predicting and affecting response to cancer therapy based on pathway-level biomarkers
title_full Predicting and affecting response to cancer therapy based on pathway-level biomarkers
title_fullStr Predicting and affecting response to cancer therapy based on pathway-level biomarkers
title_full_unstemmed Predicting and affecting response to cancer therapy based on pathway-level biomarkers
title_sort predicting and affecting response to cancer therapy based on pathway-level biomarkers
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/af440b4d64314959a421c75b7dfbd17b
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