Tumor heterogeneity in neoplasms of breast, colon, and skin
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Standard
Tumor heterogeneity in neoplasms of breast, colon, and skin. / Li, Jian; Wang, Kai; Jensen, Thomas Dyrsø; Li, Shengting; Bolund, Lars; Wiuf, Carsten.
I: BMC Research Notes, Bind 3, 321, 29.11.2010.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Tumor heterogeneity in neoplasms of breast, colon, and skin
AU - Li, Jian
AU - Wang, Kai
AU - Jensen, Thomas Dyrsø
AU - Li, Shengting
AU - Bolund, Lars
AU - Wiuf, Carsten
PY - 2010/11/29
Y1 - 2010/11/29
N2 - Background: Different cell subpopulations in a single tumor may show diverse capacities for growth, differentiation, metastasis formation, and sensitivity to treatments. Thus, heterogeneity is an important feature of tumors. However, due to limitations in experimental and analytical techniques, tumor heterogeneity has rarely been studied in detail. Presentation of the hypothesis: Different tumor types have different heterogeneity patterns, thus heterogeneity could be a characteristic feature of a particular tumor type. Testing the hypothesis: We applied our previously published mathematical heterogeneity model to decipher tumor heterogeneity through the analysis of genetic copy number aberrations revealed by array CGH data for tumors of three different tissues: breast, colon, and skin. The model estimates the number of subpopulations present in each tumor. The analysis confirms that different tumor types have different heterogeneity patterns. Computationally derived genomic copy number profiles from each subpopulation have also been analyzed and discussed with reference to the multiple hypothetical relationships between subpopulations in origin-related samples. Implications of the hypothesis: Our observations imply that tumor heterogeneity could be seen as an independent parameter for determining the characteristics of tumors. In the context of more comprehensive usage of array CGH or genome sequencing in a clinical setting our study provides a new way to realize the full potential of tumor genetic analysis.
AB - Background: Different cell subpopulations in a single tumor may show diverse capacities for growth, differentiation, metastasis formation, and sensitivity to treatments. Thus, heterogeneity is an important feature of tumors. However, due to limitations in experimental and analytical techniques, tumor heterogeneity has rarely been studied in detail. Presentation of the hypothesis: Different tumor types have different heterogeneity patterns, thus heterogeneity could be a characteristic feature of a particular tumor type. Testing the hypothesis: We applied our previously published mathematical heterogeneity model to decipher tumor heterogeneity through the analysis of genetic copy number aberrations revealed by array CGH data for tumors of three different tissues: breast, colon, and skin. The model estimates the number of subpopulations present in each tumor. The analysis confirms that different tumor types have different heterogeneity patterns. Computationally derived genomic copy number profiles from each subpopulation have also been analyzed and discussed with reference to the multiple hypothetical relationships between subpopulations in origin-related samples. Implications of the hypothesis: Our observations imply that tumor heterogeneity could be seen as an independent parameter for determining the characteristics of tumors. In the context of more comprehensive usage of array CGH or genome sequencing in a clinical setting our study provides a new way to realize the full potential of tumor genetic analysis.
UR - http://www.scopus.com/inward/record.url?scp=78649325247&partnerID=8YFLogxK
U2 - 10.1186/1756-0500-3-321
DO - 10.1186/1756-0500-3-321
M3 - Journal article
AN - SCOPUS:78649325247
VL - 3
JO - BMC Research Notes
JF - BMC Research Notes
SN - 1756-0500
M1 - 321
ER -
ID: 203898445