Biomarkers for Homologous Recombination Deficiency in Cancer
Note for: Biomarkers for Homologous Recombination Deficiency in Cancer
Doi: 10.1093/jnci/djy085
Background:
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Defective in DNA repair is hallmark of cancer
(Problem)
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HR-defective is of interest in clinical level
due to its sensitivity to PARPi
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HR-defective measurement is important for the
clinical trial design
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Identified method for HRD -- > varied and
controversial
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If we understand more in this measurement, it
would help the clinical trial design
Aim:
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Summarize biology and clinical validation of
current methods to measure HRD
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Helping in decision making to treat patients
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Informing indicators for HRD
o
Germline BRCA1/2 mutation status
o
Clinical response to Pt-based therapy
o
Newer assay undergoing clinical validation
§
Somatic mutation in HR genes
§
Genomic scar assays using array-based
comparative genomic hybridization (aCGH)
§
Info derived from NGS
·
Single nucleotide polymorphism analysis
·
Mutational signatures
§
Transcriptional profiles of HRD
§
Phenotypic functional assays of protein
expression and localization
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Highlight
o
Strength and weakness of each assays
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HRD biomarker
o
Use with either BRCA1/2 defective or BRCA1/2
wild type
Main text
Approved HRD biomarkers for PARP inhibitor use
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Germline BRCA (gBRCA) mutation is the best clinical
biomarkers
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Myriad Genetics BRACAnalysis CDx platform --
> FDA-approved to detect gBRCA mutation
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No current approved diagnostic assay for HRD
based on germline mutation of other homologous recombination genes
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Variants of uncertain significance (VUS) in
other genes -- > unclear
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Biomarkers should not be focused on only BRCA
wild-type but BRCA mutant population -- > there might be phenotypic variants
and reversions
Platinum sensitivity as surrogate biomarker for HRD
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Pt-sensitivity -- > feature for HRD
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Pt-sensitivity -- > used as surrogate
clinical index for prediction of efficacy to PARP inhibition
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Some Pt-resistant patients has shown PARPi
sensitivity
Novel biomarkers of HRD
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Somatic mutation in HR genes
o
In vitro criteria – predicting sensitivity to
PARPi
§
Defects in recombination substrate assays
§
Inability to form RAD51 foci formation upon
exposure to DNA damage
§
In vitro sensitivity to platinum salts and
PARPi
o
Cancer-associated mutations in genes related
HR -- > all of these below genes face uncertainty over functional
significane
§
PALB2
§
BARD1
§
BRIP1
§
RAD51B
§
RAD51C
§
RAD51D
§
ATM
§
FAAP20
§
CHEK2
§
FAN1
§
FANCE
§
FANCM
§ POLQ
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HR-related genes are synthetic lethal with
PARPi
o
Different in tumor type (context-specific
clinical evaluation)
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There are the attempt to do multiomics
(genomic, transcriptomic, proteomic) as well as functional assay to clarify HRD
tumor
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Genomic scar assays
o
Cancer genome often harbor chromosomal
aberrations -- > result from defective DNA repair -- > increased gross
chromosomal rearrangements
o
Thus, leading to evaluated the “genomic scar” through
hig-throughput profiling technique
§
Array-based comparative genomic hybridization
(aCGH)
§
SNP genotyping
§
NGS
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Array-based comparative genomic hybridization
(aCGH)
o
Detecting genomic copy number variation in
tumors
o
Can be used with FFPE samples
o
aCGH assays have not been evaluated in the
context of PARP inhibition
-
SNP-based genomic scar assays
o
Three SNP-based assays developing to quantify
the extent of chromosomal abnormalities
§
Telomeric allelic imbalance (TAI)
§
Loss of heterozygosity (LOH)
§
Large-scale transition (LST)
o
Developing by using training cohort of tumors
from BRCA1/2 mutated patients
§
In silico analysis; 5371 tumors from 15 cancer
types (in TCGA), Pt is first line regiment
-
o
Signature 3 -- > can identify HRD
o
HRDetect -- > identify BRCA-deficient
tumors at high sensitivity and specificity from FFPE
o
HRDetect algorithm -- > has to be validated
in clinical trial of PARP inhibition
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Limitation of genomic scar assays
o
Emergence of resistance pathways would not
remove the existing “scar” of prior HRD
o
Reversion or secondary mutations have been
described to restore HR
o
BRCA mutation leaves scar -- > upon
reversion -- > regain HR
o
Assays that report a “real-time” index of HR
in tumor sample would be of clinical interest and value
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Real-time indicators of HRD
o
Genomic alteration -- > reflect past events
o
RNA and proteins vary dynamically in
§
Quantity
§
Localization
·
These two would reflect the real-time HRD
indicator
o
Transcriptional profiles
§
Gene expression profiling -- > oncotypeDx
§
60 gene signature clusters into BRCA-like and
non-BRCA-like and BRACAness profiles
§
Most assays come from collecting the data from
the cancer cohort
o
Protein expression
§
Depletion of ATM -- > associated with PARPi
sensitivity in vitro
§
Multiplex analyses of DNA repair proteins in
clinical trial -- > herald new information on biomarkers of HRD
o
Functional assays
§
Measuring all proteins of interest within a
pathway for each cancer sample
§
Propose to measure a single downstream event
-- > can reflect proficiency of multiple upstream components of homologous
recombination
·
Quantification of RAD51 foci formation -- >
inability of cells to form RAD51 foci -- > common feature of HRD
o
RAD51 foci in S/G2 formation has been
evaluated in FFPE breast cancer tissue at 24 hrs post chemotherapy using
geminin a marker for S and G2 cells
o
RAD51-low score -- > more common in TNBC
than in other subtypes
o
Major challenges -- > reliable quantitation
of “foci” in FFPE samples -- > fixation artifacts -- > common
o
Lacking of availability of post-treatment
biopsies in routine clinical samples -- > baseline level of RAD51 (and other
DDR) foci -- > not relevant to relative increase in their numbers upon DNA
damage
o
Tissue context, modality of DNA damage used,
timing of RAD51 foci assessment, resolution of microscopy system -- >
causing large differences of foci assessment between studies
o
False positive of RAD51 foci formation, but
still HR defect
§
occur due to downstream of ssDNA-RAD51
filament has defect -- > RAD51AP1, Pol-eta
§
loss of upstream DDR components of MRN complex
and ATM
·
RAD51 foci formation --- > biologically
useful marker -- > not easily quantifiable in clinical material
o
Propose measurable marker -- > replication
fork stabilization -- > promising phenotypic marker of PARPi sensitivity
Conclusion
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Generic touchstone biomarker for HRD -- >
key to expanding therapeutic utility of HRD-targeting agents across a broad
spectrum of tumor types
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Complexity of HR – thus one marker is not
enough to identify defect in HR -- > define HRDness
o
Pt-sensitivity
o
HRDetect positivity (mRNA/protein expression
profile)
o
Decreased replication fork stability
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Clinical application
o
Rapid
o
Precise readouts
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Nature of genomic instability in HRD tumor
cells
o
Increase the rate of therapeutic evasion
(resist to treatment) through the clonal evolution
§
Thus, it is better to treat as early as
possible
o
In the late stage, it is hard to validate the
biomarker for HRD – due to tumor heterogeneity and clonal evolution
§
Thus, re-evaluation of tumor HR status in
patients is important
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HRD biomarkers based on tissue biopsy
·
Serial and multiple spatially distinct samples
§
HRD biomarker based on liquid biopsy
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Help to identify right patients at right time for right therapeutic -- > for HRD-directed
precision medicine
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