PMID- 29115304 OWN - NLM STAT- MEDLINE DCOM- 20190521 LR - 20200306 IS - 1759-4782 (Electronic) IS - 1759-4774 (Linking) VI - 15 IP - 2 DP - 2018 Feb TI - Tumour heterogeneity and resistance to cancer therapies. PG - 81-94 LID - 10.1038/nrclinonc.2017.166 [doi] AB - Cancer is a dynamic disease. During the course of disease, cancers generally become more heterogeneous. As a result of this heterogeneity, the bulk tumour might include a diverse collection of cells harbouring distinct molecular signatures with differential levels of sensitivity to treatment. This heterogeneity might result in a non-uniform distribution of genetically distinct tumour-cell subpopulations across and within disease sites (spatial heterogeneity) or temporal variations in the molecular makeup of cancer cells (temporal heterogeneity). Heterogeneity provides the fuel for resistance; therefore, an accurate assessment of tumour heterogeneity is essential for the development of effective therapies. Multiregion sequencing, single-cell sequencing, analysis of autopsy samples, and longitudinal analysis of liquid biopsy samples are all emerging technologies with considerable potential to dissect the complex clonal architecture of cancers. In this Review, we discuss the driving forces behind intratumoural heterogeneity and the current approaches used to combat this heterogeneity and its consequences. We also explore how clinical assessments of tumour heterogeneity might facilitate the development of more-effective personalized therapies. FAU - Dagogo-Jack, Ibiayi AU - Dagogo-Jack I AD - Department of Medicine, Massachusetts General Hospital, 32 Fruit Street, Yawkey 7B, Boston, Massachusetts 02114, USA. FAU - Shaw, Alice T AU - Shaw AT AD - Department of Medicine, Massachusetts General Hospital, 32 Fruit Street, Yawkey 7B, Boston, Massachusetts 02114, USA. LA - eng GR - R01CA164273/NH/NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Review DEP - 20171108 PL - England TA - Nat Rev Clin Oncol JT - Nature reviews. Clinical oncology JID - 101500077 SB - IM MH - Cell Lineage/genetics MH - Clonal Evolution/genetics MH - Drug Resistance, Neoplasm/*genetics MH - *Genetic Heterogeneity MH - Genomic Instability/*genetics MH - Humans MH - Neoplasms/*genetics/pathology MH - Precision Medicine/trends EDAT- 2017/11/09 06:00 MHDA- 2019/05/22 06:00 CRDT- 2017/11/09 06:00 PHST- 2017/11/09 06:00 [pubmed] PHST- 2019/05/22 06:00 [medline] PHST- 2017/11/09 06:00 [entrez] AID - nrclinonc.2017.166 [pii] AID - 10.1038/nrclinonc.2017.166 [doi] PST - ppublish SO - Nat Rev Clin Oncol. 2018 Feb;15(2):81-94. doi: 10.1038/nrclinonc.2017.166. Epub 2017 Nov 8.