Epistatic Relationships in the BRCA1-BRCA2 Pathway

Summary

article has not abstract

In modern molecular genetics, epistasis analysis is a tool for probing the relationship between two genes and, hence, between the two genes' products. In its broadest sense, an epistatic relationship exists when combinations of specific alleles of two or more genes generate a quantitative phenotype that differs from the simple addition of phenotypes associated with each individual allele. Many different types of gene–gene interaction could be characterized as epistatic. In its purest form, an allele a of gene A is said to be epistatic to (literally, “standing over”) allele b of gene B if both a and b individually confer a quantitative defect in a particular phenotype, the defect caused by a is more severe than b, and the phenotype of ab resembles that of a. In this case, the presence of allele b is irrelevant if allele a is present. Clear-cut genetic interactions of this type might indicate that there is an equally clear-cut biochemical interaction between the gene products, A and B. In the example outlined above, A might act on the same biochemical pathway as B and effectively control its activities.

Epistasis analysis has provided useful insights into the quite complex gene relationships that constitute the BRCA1/BRCA2 pathway of homologous recombination (HR). In the early days of work on BRCA1 and BRCA2, as their roles in HR were beginning to come into focus, several studies indicated that Brca null mice die in utero around E7.5 (Brca1^−/−) or E8.5 (Brca2^−/−). The two phenotypes were similar—cell cycle arrest accompanied by p53 activation and a chromosome breakage pattern with a predominance of chromatid-type aberrations. Ludwig et al. attempted an epistasis analysis of BRCA1 and BRCA2 mutation in the mouse and observed three Brca1^−/−Brca2^−/− embryos that died ∼E7.5 [1]. Although the statistical power of this experiment was low, it suggested that Brca1^−/− might be epistatic to Brca2^−/− and appeared to support the idea that BRCA1 and BRCA2 operate on a common biochemical pathway connected with organismal viability. More than a decade later, it is clear that that conclusion was basically correct; however, many interesting and important distinctions between the two genes have also come to light. Notably, the lethal phenotype of BRCA1 null mice is largely suppressed by deletion of 53BP1[2], [3].

Differences between BRCA1 and BRCA2 have also emerged from studies of their molecular function. BRCA2 associates stoichiometrically with Rad51 and has a key role in loading Rad51 onto single-stranded DNA that is created by double-strand break (DSB) resection, as a prelude to Rad51-mediated strand exchange. In contrast, BRCA1 functions in earlier steps of DSB repair, both by controlling DSB resection and by facilitating the transition from DSB resection to BRCA2-mediated Rad51 loading via BRCA1's and BRCA2's mutual interactions with PALB2/FANCN. BRCA1 participates in multiple distinct protein complexes, some of which function on chromatin and may regulate transcription.

In the clinical setting, BRCA1-linked breast cancers are more often of the “triple negative” basal type than are either sporadic or BRCA2-linked breast cancers, for reasons that are not well understood. Very likely, breast/ovarian cancer risk and the responsiveness of BRCA-linked cancers to poly(ADP) ribose polymerase (PARP) inhibitors are reflections of HR functions shared by BRCA1 and BRCA2. The additional phenotypic “overlay” associated with BRCA1-linked cancers may reflect the impact of perturbing BRCA1 functions that are not shared with BRCA2.

Despite this progress in understanding the functions of BRCA1 and BRCA2, little epistasis data regarding their relationship has been reported since the work of Ludwig et al. In this issue of PLoS Genetics, Qing et al. have used the genetically tractable chicken lymphoblastoid cell line DT40 to undertake such an analysis, focusing on BRCA2 [4]. Their work sheds important light on the functional relationships between BRCA1, BRCA2, Rad51, and other HR mediators. First, by generating a (probable) null allele of BRCA2, they show that complete or near-complete loss of BRCA2 function is compatible with cell viability, in dramatic contrast to the Rad51 null phenotype, which is cell lethal in DT40 [5]. Thus, although BRCA2 loads Rad51 protein, Rad51 must have cell viability functions that are independent of BRCA2. Combined deletion of BRCA1 and BRCA2 produced no additive impairment of cell growth. However, when the authors studied the impact of combined BRCA1 and BRCA2 mutations on sensitivity to DNA damaging agents, a more complex and nuanced picture emerged. In response to cis-platin, an agent that induces interstrand DNA cross-links and engages HR as an essential part of their repair, or to the PARP inhibitor olaparib, BRCA2 null mutation appears to be epistatic to all HR mediator mutants the authors tested, including BRCA1. However, in the response to camptothecin, a topoisomerase I poison that induces DSBs at replication forks, the pattern was quite different. BRCA1 null cells were found to be much more sensitive to camptothecin than BRCA2 null cells and, surprisingly, the combined mutation produced an intermediate phenotype. Thus, loss of BRCA2 partially ameliorates the BRCA1 null hypersensitivity to camptothecin. This deviation from simple epistasis is important and not yet explained, but a reasonable starting assumption is that the different DNA structures generated by the three DNA damaging agents tested call to a different extent upon specific and distinct DNA repair functions of BRCA1 and BRCA2. In this regard, a gene might appear to be a “master regulator” of its peers in one setting and their “humble servant” in another.

Understanding the extent to which these complex genetic interactions are played out in tumorigenesis and in the response to different cancer therapies is an important goal of translational research. We should expect more surprises and insights to emerge from epistasis analysis of BRCA-linked cancer and cancer therapy in animal models.