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Journal ArticleDOI

Deciphering intratumor heterogeneity using cancer genome analysis.

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TLDR
The ability to identify and monitor the subclonal architecture of a tumor is valuable for the development of precise cancer therapeutic methods and single-cell sequencing will enable the identification of every minor population within a tumor microenvironment.
Abstract
Intratumor heterogeneity within individual cancer tissues underlies the numerous phenotypes of cancer. Tumor subclones ultimately affect therapeutic outcomes due to their distinct molecular features. Drug-resistant subclones are present at a low frequency in tissues at the time of biopsy, but can also arise as a result of acquired somatic mutations. A number of different approaches have been utilized to understand the nature of intratumor heterogeneity. Clonal analysis using whole exome or genome sequencing data can help monitor subclones in the context of tumor progression. Multiregional biopsies permit the molecular characterization of subclones within tumors. Deep sequencing has also provided researchers with the ability to measure the low allele fraction variant within a small number of cells. Ultimately, single-cell sequencing will enable the identification of every minor population within a tumor microenvironment. In the clinical context, the ability to identify and monitor the subclonal architecture of a tumor is valuable for the development of precise cancer therapeutic methods.

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Citations
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Cancer stem cells: The root of tumor recurrence and metastases

TL;DR: The common hallmarks of CSC and metastasis initiating cells (MIC) are discussed and prospects for the development of anti-metastatic therapy are discussed.
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Cancer stem cells in osteosarcoma

TL;DR: The commonly used isolation techniques for cancer stem cells in osteosarcoma as well as the identified biochemical and molecular markers are discussed.
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BRCA Genes: The Role in Genome Stability, Cancer Stemness and Therapy Resistance.

TL;DR: The biological functions of BRCa1 and BRCA2 genes and the role of BrcA mutations in tumor initiation, regulation of cancer stemness, therapy resistance and tumor progression are discussed.
Journal ArticleDOI

The diverse roles of glutathione-associated cell resistance against hypericin photodynamic therapy

TL;DR: The differential response of two phenotypically and genotypically different breast adenocarcinoma cell lines to hypericin PDT is studied to show that the different GSH based cell defense mechanisms can be utilized as predictive markers for the outcome of PDT and as a guide for selecting optimal combination strategies.
Journal ArticleDOI

Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator

TL;DR: Deep sequencing to determine the TH index could serve as a promising prognostic indicator in cancer patients using targeted panel sequencing data acquired from 1,352 patients across 8 cancer types.
References
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Journal ArticleDOI

American Society of Clinical Oncology/College of American Pathologists Guideline Recommendations for Immunohistochemical Testing of Estrogen and Progesterone Receptors in Breast Cancer

TL;DR: An international Expert Panel that conducted a systematic review and evaluation of the literature and developed recommendations for optimal IHC ER/PgR testing performance recommended that ER and PgR status be determined on all invasive breast cancers and breast cancer recurrences.
Journal ArticleDOI

Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples

TL;DR: The MuTect algorithm for calling somatic point mutations enables subclonal analysis of the whole-genome or whole-exome sequencing data being generated in large-scale cancer genomics projects as discussed by the authors.

Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples

TL;DR: MuTect is presented, a method that applies a Bayesian classifier to detect somatic mutations with very low allele fractions, requiring only a few supporting reads, followed by carefully tuned filters that ensure high specificity.
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