Tumor heterogeneity in neoplasms of breast, colon, and skin

Jian Li; Kai Wang; Thomas Dyrsø Jensen; Shengting Li; Lars Bolund; Carsten Wiuf

doi:10.1186/1756-0500-3-321

Tumor heterogeneity in neoplasms of breast, colon, and skin

Jian Li, Kai Wang, Thomas Dyrsø Jensen, Shengting Li, Lars Bolund, Carsten Wiuf^*

^*Corresponding author for this work

18 Citations (Scopus)

Abstract

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.

Original language	English
Article number	321
Journal	BMC Research Notes
Volume	3
ISSN	1756-0500
DOIs	https://doi.org/10.1186/1756-0500-3-321
Publication status	Published - 29 Nov 2010
Externally published	Yes

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title = "Tumor heterogeneity in neoplasms of breast, colon, and skin",

abstract = "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.",

author = "Jian Li and Kai Wang and Jensen, {Thomas Dyrs{\o}} and Shengting Li and Lars Bolund and Carsten Wiuf",

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doi = "10.1186/1756-0500-3-321",

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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.

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DO - 10.1186/1756-0500-3-321

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SN - 1756-0500

VL - 3

JO - BMC Research Notes

JF - BMC Research Notes

M1 - 321

ER -

Tumor heterogeneity in neoplasms of breast, colon, and skin

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