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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Format: | Article |
Language: | English |
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BioMed Central
2013-12-01
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Series: | Genomics & Informatics |
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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. |
format | Article |
id | doaj-art-235e2c135d234e1382d54ae47d4dcd53 |
institution | Kabale University |
issn | 1598-866X 2234-0742 |
language | English |
publishDate | 2013-12-01 |
publisher | BioMed Central |
record_format | Article |
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 |
work_keys_str_mv | AT sehoonlee applicationofcancergenomicstosolveunmetclinicalneeds AT sunghoonsim applicationofcancergenomicstosolveunmetclinicalneeds AT jiyeonkim applicationofcancergenomicstosolveunmetclinicalneeds AT soojincha applicationofcancergenomicstosolveunmetclinicalneeds AT ahnahsong applicationofcancergenomicstosolveunmetclinicalneeds |