Introduction of Homologous Recombination Deficiency Test

Contents

  • Genomic scar based test
    • Allele specific copy number analysis
  • Signature based test
    • Signature analysis

Slide

  • https://rpubs.com/JKang/hrdTest

DNA repair (Alberts et al. 2002)

Diseases Due to Defects in DNA Repair

Myriad myChoice CDx

  • Homologous recombination deficiency (HRD) status
  • Presence mutations in BRCA1 and BRCA2 genes
  • Sensitivity to platinum-based chemotherapy
  • Ovarian cancer
  • Treatment with PARPi

Homologous recombination deficiency (HRD)

Genomic scars based test

Loss of Heterozygosity (HRD-LOH)

  • Number of 15 Mb exceeding LOH regions which do not cover the whole chromosome.

Large Scale Transitions (LST)

  • Chromosomal break between adjacent regions of at least 10 Mb, with a distance between them not larger than 3Mb

Telomeric Allelic Imbalances

  • Number AIs that extend to the telomeric end of a chromosome.

HRD test as a companion diagnostics (Ray-Coquard et al. 2019)

Key concepts

  • Allele-specific copy number
  • Allele frequency of heterozygous single nucleotide polymorphism (heterozygous SNP)

scarHRD programs

Allele-specific copy number analysis of tumors (Attiyeh et al. 2009)

Allele frequency (Sun et al. 2018)

BAF = \({pV+1-p} \over {pC+2(1-p)}\)

  • Given copy number (C)
  • Variant allele count (V)
  • Sample purity (p)

Full probability model

\[ \begin{aligned} r_i & \sim & N\left(log_2 \frac{pC_i+2(1-p)}{p \psi+2(1-p)}, \sigma \right) \end{aligned} \]

\[ \begin{aligned} f_i & \sim & N\left(\frac{pM_i+(1-p)}{pC_i+2(1-p)}, \sigma\ \right) \end{aligned} \]

Sequenza results

Sequenza results

Sequenza results

scarHRD

Signature based test

HRDtect (Davies et al. 2017)

Classification of structural variants in cancer genomes (Li et al. 2020)

Structural-variant signatures in human cancers

Mutational signature

Mutational signature

Mutational context (SBS)

Mutational signature (Rosenthal et al. 2016)

Mutational signature

Mutational signature

References

Abkevich, V., K. M. Timms, B. T. Hennessy, J. Potter, M. S. Carey, L. A. Meyer, K. Smith-McCune, et al. 2012. “Patterns of Genomic Loss of Heterozygosity Predict Homologous Recombination Repair Defects in Epithelial Ovarian Cancer.” British Journal of Cancer 107 (10): 1776–82. https://doi.org/10.1038/bjc.2012.451.
Alberts, Bruce, Alexander Johnson, Julian Lewis, Martin Raff, Keith Roberts, and Peter Walter. 2002. Molecular Biology of the Cell. Fourth. Garland Science.
Attiyeh, Edward F., Sharon J. Diskin, Marc A. Attiyeh, Yaël P. Mossé, Cuiping Hou, Eric M. Jackson, Cecilia Kim, et al. 2009. “Genomic Copy Number Determination in Cancer Cells from Single Nucleotide Polymorphism Microarrays Based on Quantitative Genotyping Corrected for Aneuploidy.” Genome Res. 19 (2): 276–83. https://doi.org/10.1101/gr.075671.107.
Birkbak, Nicolai J., Zhigang C. Wang, Ji-Young Kim, Aron C. Eklund, Qiyuan Li, Ruiyang Tian, Christian Bowman-Colin, et al. 2012. “Telomeric Allelic Imbalance Indicates Defective DNA Repair and Sensitivity to DNA-Damaging Agents.” Cancer Discov 2 (4): 366–75. https://doi.org/10.1158/2159-8290.CD-11-0206.
Davies, Helen, Dominik Glodzik, Sandro Morganella, Lucy R. Yates, Johan Staaf, Xueqing Zou, Manasa Ramakrishna, et al. 2017. HRDetect Is a Predictor of BRCA1 and BRCA2 Deficiency Based on Mutational Signatures.” Nature Medicine 23 (4): 517–25. https://doi.org/10.1038/nm.4292.
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Li, Yilong, Nicola D. Roberts, Jeremiah A. Wala, Ofer Shapira, Steven E. Schumacher, Kiran Kumar, Ekta Khurana, et al. 2020. “Patterns of Somatic Structural Variation in Human Cancer Genomes.” Nature 578 (7793): 112–21. https://doi.org/10.1038/s41586-019-1913-9.
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Rosenthal, Rachel, Nicholas McGranahan, Javier Herrero, Barry S. Taylor, and Charles Swanton. 2016. deconstructSigs: Delineating Mutational Processes in Single Tumors Distinguishes DNA Repair Deficiencies and Patterns of Carcinoma Evolution.” Genome Biology 17 (1): 31. https://doi.org/10.1186/s13059-016-0893-4.
Sun, James X., Yuting He, Eric Sanford, Meagan Montesion, Garrett M. Frampton, Stéphane Vignot, Jean-Charles Soria, et al. 2018. “A Computational Approach to Distinguish Somatic Vs. Germline Origin of Genomic Alterations from Deep Sequencing of Cancer Specimens Without a Matched Normal.” PLOS Computational Biology 14 (2): e1005965. https://doi.org/10.1371/journal.pcbi.1005965.
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