Cargando…

Prostate cancer in omics era

Recent advances in omics technology have prompted extraordinary attempts to define the molecular changes underlying the onset and progression of a variety of complex human diseases, including cancer. Since the advent of sequencing technology, cancer biology has become increasingly reliant on the gen...

Descripción completa

Detalles Bibliográficos
Autores principales: Gholami, Nasrin, Haghparast, Amin, Alipourfard, Iraj, Nazari, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442907/
https://www.ncbi.nlm.nih.gov/pubmed/36064406
http://dx.doi.org/10.1186/s12935-022-02691-y
_version_ 1784782928634445824
author Gholami, Nasrin
Haghparast, Amin
Alipourfard, Iraj
Nazari, Majid
author_facet Gholami, Nasrin
Haghparast, Amin
Alipourfard, Iraj
Nazari, Majid
author_sort Gholami, Nasrin
collection PubMed
description Recent advances in omics technology have prompted extraordinary attempts to define the molecular changes underlying the onset and progression of a variety of complex human diseases, including cancer. Since the advent of sequencing technology, cancer biology has become increasingly reliant on the generation and integration of data generated at these levels. The availability of multi-omic data has transformed medicine and biology by enabling integrated systems-level approaches. Multivariate signatures are expected to play a role in cancer detection, screening, patient classification, assessment of treatment response, and biomarker identification. This review reports current findings and highlights a number of studies that are both novel and groundbreaking in their application of multi Omics to prostate cancer.
format Online
Article
Text
id pubmed-9442907
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-94429072022-09-06 Prostate cancer in omics era Gholami, Nasrin Haghparast, Amin Alipourfard, Iraj Nazari, Majid Cancer Cell Int Hypothesis Recent advances in omics technology have prompted extraordinary attempts to define the molecular changes underlying the onset and progression of a variety of complex human diseases, including cancer. Since the advent of sequencing technology, cancer biology has become increasingly reliant on the generation and integration of data generated at these levels. The availability of multi-omic data has transformed medicine and biology by enabling integrated systems-level approaches. Multivariate signatures are expected to play a role in cancer detection, screening, patient classification, assessment of treatment response, and biomarker identification. This review reports current findings and highlights a number of studies that are both novel and groundbreaking in their application of multi Omics to prostate cancer. BioMed Central 2022-09-05 /pmc/articles/PMC9442907/ /pubmed/36064406 http://dx.doi.org/10.1186/s12935-022-02691-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Hypothesis
Gholami, Nasrin
Haghparast, Amin
Alipourfard, Iraj
Nazari, Majid
Prostate cancer in omics era
title Prostate cancer in omics era
title_full Prostate cancer in omics era
title_fullStr Prostate cancer in omics era
title_full_unstemmed Prostate cancer in omics era
title_short Prostate cancer in omics era
title_sort prostate cancer in omics era
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442907/
https://www.ncbi.nlm.nih.gov/pubmed/36064406
http://dx.doi.org/10.1186/s12935-022-02691-y
work_keys_str_mv AT gholaminasrin prostatecancerinomicsera
AT haghparastamin prostatecancerinomicsera
AT alipourfardiraj prostatecancerinomicsera
AT nazarimajid prostatecancerinomicsera