Application of Cancer Genomics to Solve Unmet Clinical Needs

The large amount of data on cancer genome research has contributed to our understanding of cancer biology. Indeed, the genomics approach has a strong advantage for analyzing multi-factorial and complicated problems, such as cancer. It is time to think about the actual usage of cancer genomics in the...

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Main Authors: Se-Hoon Lee, Sung Hoon Sim, Ji-Yeon Kim, SooJin Cha, Ahnah Song
Format: Article
Language:English
Published: BioMed Central 2013-12-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gni-11-174.pdf
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author Se-Hoon Lee
Sung Hoon Sim
Ji-Yeon Kim
SooJin Cha
Ahnah Song
author_facet Se-Hoon Lee
Sung Hoon Sim
Ji-Yeon Kim
SooJin Cha
Ahnah Song
author_sort Se-Hoon Lee
collection DOAJ
description The large amount of data on cancer genome research has contributed to our understanding of cancer biology. Indeed, the genomics approach has a strong advantage for analyzing multi-factorial and complicated problems, such as cancer. It is time to think about the actual usage of cancer genomics in the clinical field. The clinical cancer field has lots of unmet needs in the management of cancer patients, which has been defined in the pre-genomic era. Unmet clinical needs are not well known to bioinformaticians and even non-clinician cancer scientists. A personalized approach in the clinical field will bring potential additional challenges to cancer genomics, because most data to now have been population-based rather than individual-based. We can maximize the use of cancer genomics in the clinical field if cancer scientists, bioinformaticians, and clinicians think and work together in solving unmet clinical needs. In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.
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institution Kabale University
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publishDate 2013-12-01
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series Genomics & Informatics
spelling doaj-art-235e2c135d234e1382d54ae47d4dcd532025-02-02T12:35:23ZengBioMed CentralGenomics & Informatics1598-866X2234-07422013-12-0111417417910.5808/GI.2013.11.4.17458Application of Cancer Genomics to Solve Unmet Clinical NeedsSe-Hoon Lee0Sung Hoon Sim1Ji-Yeon Kim2SooJin Cha3Ahnah Song4Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-799, Korea.Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-799, Korea.Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-799, Korea.Cancer Research Institute, Seoul National University College of Medicine, Seoul 110-799, Korea.Cancer Research Institute, Seoul National University College of Medicine, Seoul 110-799, Korea.The large amount of data on cancer genome research has contributed to our understanding of cancer biology. Indeed, the genomics approach has a strong advantage for analyzing multi-factorial and complicated problems, such as cancer. It is time to think about the actual usage of cancer genomics in the clinical field. The clinical cancer field has lots of unmet needs in the management of cancer patients, which has been defined in the pre-genomic era. Unmet clinical needs are not well known to bioinformaticians and even non-clinician cancer scientists. A personalized approach in the clinical field will bring potential additional challenges to cancer genomics, because most data to now have been population-based rather than individual-based. We can maximize the use of cancer genomics in the clinical field if cancer scientists, bioinformaticians, and clinicians think and work together in solving unmet clinical needs. In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.http://genominfo.org/upload/pdf/gni-11-174.pdfdrug therapyearly detection of cancergenomicshealth services needs and demandhigh-throughput nucleotide sequencing
spellingShingle Se-Hoon Lee
Sung Hoon Sim
Ji-Yeon Kim
SooJin Cha
Ahnah Song
Application of Cancer Genomics to Solve Unmet Clinical Needs
Genomics & Informatics
drug therapy
early detection of cancer
genomics
health services needs and demand
high-throughput nucleotide sequencing
title Application of Cancer Genomics to Solve Unmet Clinical Needs
title_full Application of Cancer Genomics to Solve Unmet Clinical Needs
title_fullStr Application of Cancer Genomics to Solve Unmet Clinical Needs
title_full_unstemmed Application of Cancer Genomics to Solve Unmet Clinical Needs
title_short Application of Cancer Genomics to Solve Unmet Clinical Needs
title_sort application of cancer genomics to solve unmet clinical needs
topic drug therapy
early detection of cancer
genomics
health services needs and demand
high-throughput nucleotide sequencing
url http://genominfo.org/upload/pdf/gni-11-174.pdf
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