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Publication | Open Access

Cellular and genetic diversity in the progression of in situ human breast carcinomas to an invasive phenotype

328

Citations

32

References

2010

Year

TLDR

Intratumor genetic heterogeneity drives tumor progression and therapeutic resistance, and the traditional clonal evolution model is increasingly challenged by the cancer stem cell hypothesis. The study aimed to investigate the relationship between cellular differentiation states and genotypic alterations in breast carcinomas. The authors combined phenotypic marker analysis with genomic profiling and applied ecological and evolutionary methods to quantify intratumor diversity. The analyses revealed extensive genetic heterogeneity within and between phenotypically defined cell populations, with stem‑cell–like and differentiated cells being genetically distinct, diversity correlating with tumor subtype and clinical variables, and differences between in situ and invasive populations, underscoring the need to treat tumors as heterogeneous populations for effective therapy.

Abstract

Intratumor genetic heterogeneity is a key mechanism underlying tumor progression and therapeutic resistance. The prevailing model for explaining intratumor diversity, the clonal evolution model, has recently been challenged by proponents of the cancer stem cell hypothesis. To investigate this issue, we performed combined analyses of markers associated with cellular differentiation states and genotypic alterations in human breast carcinomas and evaluated diversity with ecological and evolutionary methods. Our analyses showed a high degree of genetic heterogeneity both within and between distinct tumor cell populations that were defined based on markers of cellular phenotypes including stem cell-like characteristics. In several tumors, stem cell-like and more-differentiated cancer cell populations were genetically distinct, leading us to question the validity of a simple differentiation hierarchy-based cancer stem cell model. The degree of diversity correlated with clinically relevant breast tumor subtypes and in some tumors was markedly different between the in situ and invasive cell populations. We also found that diversity measures were associated with clinical variables. Our findings highlight the importance of genetic diversity in intratumor heterogeneity and the value of analyzing tumors as distinct populations of cancer cells to more effectively plan treatments.

References

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