Genomic characterisation of hormone receptor-positive breast cancer arising in very young women

BACKGROUND

Very young premenopausal women diagnosed with hormone receptor-positive, human epidermal growth factor receptor 2-negative (HR+HER2-) early breast cancer (EBC) have higher rates of recurrence and death for reasons that remain largely unexplained.

PATIENTS AND METHODS

Genomic sequencing was applied to HR+HER2- tumours from patients enrolled in the Suppression of Ovarian Function Trial (SOFT) to determine genomic drivers that are enriched in young premenopausal women. Genomic alterations were characterised using next-generation sequencing from a subset of 1276 patients (deep targeted sequencing, n = 1258; whole-exome sequencing in a young-age, case-control subsample, n = 82). We defined copy number (CN) subgroups and assessed for features suggestive of homologous recombination deficiency (HRD). Genomic alteration frequencies were compared between young premenopausal women (<40 years) and older premenopausal women (≥40 years), and assessed for associations with distant recurrence-free interval (DRFI) and overall survival (OS).

RESULTS

Younger women (<40 years, n = 359) compared with older women (≥40 years, n = 917) had significantly higher frequencies of mutations in GATA3 (19% versus 16%) and CN amplifications (CNAs) (47% versus 26%), but significantly lower frequencies of mutations in PIK3CA (32% versus 47%), CDH1 (3% versus 9%), and MAP3K1 (7% versus 12%). Additionally, they had significantly higher frequencies of features suggestive of HRD (27% versus 21%) and a higher proportion of PIK3CA mutations with concurrent CNAs (23% versus 11%). Genomic features suggestive of HRD, PIK3CA mutations with CNAs, and CNAs were associated with significantly worse DRFI and OS compared with those without these features. These poor prognostic features were enriched in younger patients: present in 72% of patients aged <35 years, 54% aged 35-39 years, and 40% aged ≥40 years. Poor prognostic features [n = 584 (46%)] versus none [n = 692 (54%)] had an 8-year DRFI of 84% versus 94% and OS of 88% versus 96%. Younger women (<40 years) had the poorest outcomes: 8-year DRFI 74% versus 85% and OS 80% versus 93%, respectively.

CONCLUSION

These results provide insights into genomic alterations that are enriched in young women with HR+HER2- EBC, provide rationale for genomic subgrouping, and highlight priority molecular targets for future clinical trials.

Abstract MS1-2: Genomics of DNA repair defects in breast cancer

While driver mutations in cancer genomes were the focus of cancer research for a long time, passenger mutational signatures - the imprints of DNA damage and DNA repair processes that have been operative during tumorigenesis - are also biologically informative. In this lecture, I provide an update of what has been uncovered in breast cancers in relation to genomic imprints of DNA repair defects and showcase how we have developed computational applications that we hope to translate toward clinical utility.

Citation Format: S Nik-Zainal. Genomics of DNA repair defects in breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr MS1-2.

Basal expression of RAD51 foci predicts olaparib response in patient-derived ovarian cancer xenografts

BACKGROUND

The search for biomarkers to evaluate ovarian cancer (OC) homologous recombination (HR) function and predict the response to therapy is an urgent clinical need to improve the selection of patients who could benefit from platinum- and olaparib (poly-ADP ribose polymerase inhibitors, PARPi)-based therapies.

METHODS

We used a large collection of OC patient-derived xenografts (PDXs) (n = 47) and evaluated their HR status based on BRCA1/2 mutations, BRCA1 promoter methylation and the HRDetect score. RAD51 foci were quantified in formalin-fixed, paraffin-embedded untreated tumour specimens by immunofluorescence and the messenger RNA expression of 21 DNA repair genes by real-time PCR.

RESULTS

Tumour HR deficiency predicted both platinum and olaparib responses. The basal level of RAD51 foci evaluated in geminin-positive/replicating cells strongly inversely correlated with olaparib response (p = 0.011); in particular, the lower the foci score, the greater the sensitivity to olaparib, while low RAD51 foci score seems to associate with platinum activity.

CONCLUSIONS

The basal RAD51 foci score is a candidate predictive biomarker of olaparib response in OC patients as it can be easily translatable in a clinical setting. Moreover, the findings corroborate the importance of OC-PDXs as a reliable tool to identify and validate biomarkers of response to therapy.

ESMO recommendations on predictive biomarker testing for homologous recombination deficiency and PARP inhibitor benefit in ovarian cancer

BACKGROUND

Homologous recombination repair deficiency (HRD) is a frequent feature of high-grade serous ovarian, fallopian tube and peritoneal carcinoma (HGSC) and is associated with sensitivity to PARP inhibitor (PARPi) therapy. HRD testing provides an opportunity to optimise PARPi use in HGSC but methodologies are diverse and clinical application remains controversial.

MATERIALS AND METHODS

To define best practice for HRD testing in HGSC the ESMO Translational Research and Precision Medicine Working Group launched a collaborative project that incorporated a systematic review approach. The main aims were to (i) define the term 'HRD test'; (ii) provide an overview of the biological rationale and the level of evidence supporting currently available HRD tests; (iii) provide recommendations on the clinical utility of HRD tests in clinical management of HGSC.

RESULTS

A broad range of repair genes, genomic scars, mutational signatures and functional assays are associated with a history of HRD. Currently, the clinical validity of HRD tests in ovarian cancer is best assessed, not in terms of biological HRD status per se, but in terms of PARPi benefit. Clinical trials evidence supports the use of BRCA mutation testing and two commercially available assays that also incorporate genomic instability for identifying subgroups of HGSCs that derive different magnitudes of benefit from PARPi therapy, albeit with some variation by clinical scenario. These tests can be used to inform treatment selection and scheduling but their use is limited by a failure to consistently identify a subgroup of patients who derive no benefit from PARPis in most studies. Existing tests lack negative predictive value and inadequately address the complex and dynamic nature of the HRD phenotype.

CONCLUSIONS

Currently available HRD tests are useful for predicting likely magnitude of benefit from PARPis but better biomarkers are urgently needed to better identify current homologous recombination proficiency status and stratify HGSC management.

Whole-genome sequencing reveals clinically relevant insights into the aetiology of familial breast cancers

BACKGROUND

Whole-genome sequencing (WGS) is a powerful method for revealing the diversity and complexity of the somatic mutation burden of tumours. Here, we investigated the utility of tumour and matched germline WGS for understanding aetiology and treatment opportunities for high-risk individuals with familial breast cancer.

PATIENTS AND METHODS

We carried out WGS on 78 paired germline and tumour DNA samples from individuals carrying pathogenic variants in BRCA1 (n = 26) or BRCA2 (n = 22) or from non-carriers (non-BRCA1/2; n = 30).

RESULTS

Matched germline/tumour WGS and somatic mutational signature analysis revealed patients with unreported, dual pathogenic germline variants in cancer risk genes (BRCA1/BRCA2; BRCA1/MUTYH). The strategy identified that 100% of tumours from BRCA1 carriers and 91% of tumours from BRCA2 carriers exhibited biallelic inactivation of the respective gene, together with somatic mutational signatures suggestive of a functional deficiency in homologous recombination. A set of non-BRCA1/2 tumours also had somatic signatures indicative of BRCA-deficiency, including tumours with BRCA1 promoter methylation, and tumours from carriers of a PALB2 pathogenic germline variant and a BRCA2 variant of uncertain significance. A subset of 13 non-BRCA1/2 tumours from early onset cases were BRCA-proficient, yet displayed complex clustered structural rearrangements associated with the amplification of oncogenes and pathogenic germline variants in TP53, ATM and CHEK2.

CONCLUSIONS

Our study highlights the role that WGS of matched germline/tumour DNA and the somatic mutational signatures can play in the discovery of pathogenic germline variants and for providing supporting evidence for variant pathogenicity. WGS-derived signatures were more robust than germline status and other genomic predictors of homologous recombination deficiency, thus impacting the selection of platinum-based or PARP inhibitor therapy. In this first examination of non-BRCA1/2 tumours by WGS, we illustrate the considerable heterogeneity of these tumour genomes and highlight that complex genomic rearrangements may drive tumourigenesis in a subset of cases.

Abstract P5-10-01: Using whole genome sequencing and somatic mutation signatures to unravel insight into familial breast cancer aetiology

Approximately 10-15% of breast cancers are associated with a strong family history of disease. Pathogenic variants in BRCA1, BRCA2 or other moderate to highly penetrant susceptibility genes (e.g. TP53, ATM, CHEK2, PALB2 and PTEN) account for a number of breast cancer families. However, for over 50% of families the underlying genetic contribution to their risk remains unknown (termed here as non-BRCA1/2). This has a profound impact for how individuals and their families are managed in the clinic. We applied whole genome sequencing (WGS) to determine whether somatic mutation analysis can reveal insight into the aetiology of familial breast cancer. The full repertoire of somatic mutations was evaluated in 26 BRCA1, 22 BRCA2 and 32 non-BRCA1/2 tumours; including SNPs, indels, copy number changes and structural rearrangements, and mutational signatures. Genomes were also analysed using the HRD Index and HRDetect, as predictors of homologous recombination deficiency. BRCA1, BRCA2 and non-BRCA1/2 tumours exhibited a different burden of mutations, a different spectrum of mutational signatures and different telomere length. Based on collective patterns of mutation signatures, tumours were classified as 'BRCA1-like', 'BRCA2-like' or 'non-BRCA1/2-like' with a 15% rate of tumour re-classification from their original clinical BRCA status. The results demonstrate the power of WGS to differentiate between BRCA1 and BRCA2 driven tumours; in the identification of double-pathogenic germline mutation carriers based on the resulting somatic mutation signature; and in the interpretation of BRCA unclassified variants. WGS of tumour genomes reveals fascinating insights into tumour aetiology and could compliment current genetic testing of breast cancer families.

Citation Format: Simpson P, Nones K, Johnson J, Newell F, Patch A-M, Thorne H, Kazakoff S, De Luca X, Parsons M, Ferguson K, Reid L, McCart Reed A, Srihari S, Lakis V, Davidson A, Mukhopadhyay P, Holmes O, Xu Q, Wood S, Leonard C, Beasley J, Degasperi A, Nik-Zainal S, Ragan M, Spurdle A, Khanna KK, Lakhani S, Pearson J, Chenevix-Trench G, Waddell N. Using whole genome sequencing and somatic mutation signatures to unravel insight into familial breast cancer aetiology [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-10-01.

Mutational mechanisms of amplifications revealed by analysis of clustered rearrangements in breast cancers

Background

Complex clusters of rearrangements are a challenge in interpretation of cancer genomes. Some clusters of rearrangements demarcate clear amplifications of driver oncogenes but others are less well understood. A detailed analysis of rearrangements within these complex clusters could reveal new insights into selection and underlying mutational mechanisms.

Patients and methods

Here, we systematically investigate rearrangements that are densely clustered in individual tumours in a cohort of 560 breast cancers. Applying an agnostic approach, we identify 21 hotspots where clustered rearrangements recur across cancers.

Results

Some hotspots coincide with known oncogene loci including CCND1, ERBB2, ZNF217, chr8:ZNF703/FGFR1, IGF1R, and MYC. Others contain cancer genes not typically associated with breast cancer: MCL1, PTP4A1, and MYB. Intriguingly, we identify clustered rearrangements that physically connect distant hotspots. In particular, we observe simultaneous amplification of chr8:ZNF703/FGFR1 and chr11:CCND1 where deep analysis reveals that a chr8-chr11 translocation is likely to be an early, critical, initiating event.

Conclusions

We present an overview of complex rearrangements in breast cancer, highlighting a potential new way for detecting drivers and revealing novel mechanistic insights into the formation of two common amplicons.

Abstract P4-15-13: When is cancer not really cancer? The PREvent ductal carcinoma in situ invasive overtreatment now (PRECISION)* initiative

Background

Ductal carcinoma in situ (DCIS) now represents 20-25% of all breast neoplasia due to large-scale detection by widely adopted population-based breast cancer screening programs. As a result, thousands of women are confronted with DCIS each year: more than 8,000 in the UK, 2,500 in the Netherlands, and some 50,000 in the US. Conventional management includes surgery, supplemented by radiotherapy and/or endocrine therapy, but overtreats the majority of DCIS as ˜1% recur annually and breast cancer mortality is ˜3% at 20 years. Uncertainty as to which DCIS lesions will progress to invasive cancer or, after excision, which will return with recurrent DCIS or invasive breast cancer drives this overtreatment. This urges us to learn how to distinguish DCIS that may progress to invasive breast cancer from the majority of indolent DCIS. Such distinction may be best achieved by synergistic international collaboration between leading global experts from various disciplines, driven by the essential input from patient voices as full members of the research team.

Aim

PRECISION (PREvent ductal Carcinoma In Situ Invasive Overtreatment Now) aims to save thousands of women with low risk DCIS the burden of intensive inappropriate treatment of DCIS (surgery, radiation therapy, hormonal therapies) through the discovery of new data and development of novel tests that promote informed and shared decision-making between patients and clinicians, without compromising the excellent outcomes for DCIS management presently achieved.

Methods

First, three large DCIS cohorts and supplementary resources will be collected enabling in depth molecular studies. Second, extensive genomic characterization, immune profiling and imaging analysis will be performed. In vivo and in vitro modeling will be performed to study the biology of DCIS in detail. Finally, all clinical, immune, and molecular data will be incorporated into a clinical risk prediction model. This risk prediction model will be validated in three prospective randomized DCIS trials in the US (COMET trial), UK (LORIS trial), and mainland Europe (LORD trial).

How the results of this research will be used

The discoveries from our laboratory studies, including a risk stratification model, will be cross-validated in three prospective trials of DCIS active surveillance versus conventional treatment (the COMET, LORIS and LORD trials). As such, the main result of this study will be that we can identify a group of women for which active surveillance for DCIS could be a safer alternative to intensive treatment. Ultimately, this may also contribute to a more reassuring perception of risk regarding non-life threatening precancerous lesions in general, reducing anxiety and preserving quality of life.

* The PRECISION Team is a Cancer Research UK Grand Challenge Award 2017 winning team and will be jointly funded by Cancer Research UK and the Dutch Cancer Society.

Citation Format: Wesseling J, Thompson A, Nik-Zainal S, Futreal A, Hwang S, Jonkers J, Lips E, Rea D, On Behalf of the PRECISION Team. When is cancer not really cancer? The PREvent ductal carcinoma in situ invasive overtreatment now (PRECISION)* initiative [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P4-15-13.

Abstract PL2: Advances in the understanding and the applications of mutational signatures in human cells

A cancer genome is an historical account of the mutagenic activity that has occurred throughout the development of the tumour. Indeed, every mutation matters. While driver mutations were the main focus of cancer research for a long time, passenger mutational signatures, the imprints of DNA damage and DNA repair processes that have been operative during tumorigenesis, are also biologically informative.

We previously outlined the methods for identifying and quantifying base substitution mutational signatures present in primary human cancers. Recently, the intellectual framework of mutational signatures was extended to include six novel rearrangement signatures. Exploring this in &gt;2,500 whole genome sequenced tumours of multiple tumour types, reveals how our early (and rather simplistic) thinking of mutational signatures, requires critical re-evaluation. There are more nuances than previously appreciated.

Diving into the detail of individual mutational signatures, we reveal intriguing mechanistic insights into the DNA damage and repair processes that mark the landscape of cancer genomes. In some instances, our findings invite more thoughtful consideration of that relatively binary distinction between drivers and passengers. Furthermore, we demonstrate why our whole genome profiling methods could assist in taking things to a clinical level, with mutational signatures forming an additional weapon in the arsenal of cancer diagnostics and therapeutic stratification, in the modern war against cancer.

Finally, we validate cancer mutational signatures using cell-based model systems and arrive at new realisations (unpublished). This powerful approach (humbles the analyst and) emphasises how biological exploration of big data still relies indispensably on experimental work to truly advance understanding.

Citation Format: Nik-Zainal S. Advances in the understanding and the applications of mutational signatures in human cells [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PL2.

Abstract P1-05-02: Genomic, transcriptomic and immune features of breast cancer according to the patient's body mass index at diagnosis

This abstract was withdrawn by the authors.

Abstract P6-08-10: Mutational signatures impact the breast cancer transcriptome and distinguish mitotic from immune response pathways

A comprehensive whole genome analysis of a large breast cancer cohort of 560 cases (Nik-Zainal et al, submitted 2015) reports novel and existing DNA substitution and rearrangement signatures next a comprehensive list of events driving the breast cancer cell to its malignant potency. In the current study, we linked the observed genetic diversity to the breast cancer transcriptome for 260 cases for which whole genome and whole transcriptome data were both available.

Cluster analysis of the global gene expression showed the familiar view of a coherent basal-like and a heterogeneous luminal subgroup. New and previously reported1 subtype-specific aberrations with concordant expression changes were found in TP53, PIK3CA, PTEN, CCND1, CDH1 and GATA3, and mutations in PIK3CA, PTEN, AKT1 and AKT2 were mutually exclusive confirming they are active in the same pathway in breast cancer.

Integrating the identified DNA substitutions signatures with the transcriptome, we observed that the total number of substitutions in a cancer, irrespective of substitution type, was positively associated with cell cycle regulated gene expression and with adverse outcome.

In addition and more remarkably, we observed that the number substitution of two substitution signatures2 particularly associated with immune-response specific gene expression, with increased amount of tumor infiltrating lymphocytes and with a better outcome. These two signatures comprised 1) mutations of the APOBEC-type (predominant C&gt;G in a TCN context), and 2) mutations which lacks specific features but which are strongly associated with genetic and epigenetic inactivating aberrations in BRCA1 and BRCA2.

Thus, while earlier reports3-5 imply that the sheer number of driver events triggers an immune-response, we refine this statement by observing that substitutions of a particular type are much very effective in doing so explaining the superior outcome of cancer having these particular types of substitutions. This result also implies that purposefully augmenting T-cell reactivity against amino-acid substitutions resulting from either of these two DNA substitution types could potentially improve immunotherapies in breast cancer.

1. Comprehensive molecular portraits of human breast tumours. Nature 490, 61-70 (2012).

2. Alexandrov, L.B., et al. Signatures of mutational processes in human cancer. Nature 500, 415-421 (2013).

3. Rizvi, N.A., et al. Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science 348, 124-128 (2015).

4. Schumacher, T.N. & Schreiber, R.D. Neoantigens in cancer immunotherapy. Science 348, 69-74 (2015).

5. Snyder, A., et al. Genetic basis for clinical response to CTLA-4 blockade in melanoma. N Engl J Med 371, 2189-2199 (2014).

Citation Format: Martens JWM, Smid M, Rodríguez-González G, Sieuwerts AM, Prager-Van der Smissen WJC, Van Der Vlugt - Daane M, Van Galen A, Nik-Zainal S, Staaf J, Brinkman AB, Van de Vijver MJ, Richardson AL, Berentsen K, Caldas C, Butler A, Martin S, Davies HD, Debets R, Meijer-Van Gelder ME, Van Deurzen CHM, Ramakrishna MR, Ringnér M, Viari A, Birney E, Børresen-Dale A-L, Stunnenberg HG, Stratton M, Foekens JA. Mutational signatures impact the breast cancer transcriptome and distinguish mitotic from immune response pathways. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-08-10.

Somatic SF3B1 mutation in myelodysplasia with ring sideroblasts

BACKGROUND

Myelodysplastic syndromes are a diverse and common group of chronic hematologic cancers. The identification of new genetic lesions could facilitate new diagnostic and therapeutic strategies.

METHODS

We used massively parallel sequencing technology to identify somatically acquired point mutations across all protein-coding exons in the genome in 9 patients with low-grade myelodysplasia. Targeted resequencing of the gene encoding RNA splicing factor 3B, subunit 1 (SF3B1), was also performed in a cohort of 2087 patients with myeloid or other cancers.

RESULTS

We identified 64 point mutations in the 9 patients. Recurrent somatically acquired mutations were identified in SF3B1. Follow-up revealed SF3B1 mutations in 72 of 354 patients (20%) with myelodysplastic syndromes, with particularly high frequency among patients whose disease was characterized by ring sideroblasts (53 of 82 [65%]). The gene was also mutated in 1 to 5% of patients with a variety of other tumor types. The observed mutations were less deleterious than was expected on the basis of chance, suggesting that the mutated protein retains structural integrity with altered function. SF3B1 mutations were associated with down-regulation of key gene networks, including core mitochondrial pathways. Clinically, patients with SF3B1 mutations had fewer cytopenias and longer event-free survival than patients without SF3B1 mutations.

CONCLUSIONS

Mutations in SF3B1 implicate abnormalities of messenger RNA splicing in the pathogenesis of myelodysplastic syndromes. (Funded by the Wellcome Trust and others.).

Cardiac glycosides inhibit detubulation in amphibian skeletal muscle fibres exposed to osmotic shock

It has recently been suggested that the 'vacuolation' of the transverse tubular system that follows the imposition of an osmotic shock is a component process in the eventual 'detubulation' of amphibian skeletal muscle. However, such a hypothesis requires net fluid transfers from the intracellular space into the lumina of the transverse tubules against the prevailing transmembrane osmotic gradients. The present experiments tested the effects of cardiac glycosides on the consequences of established osmotic protocols known reliably to achieve high levels of both detubulation and vacuolation in Rana temporaria sartorius muscle. Tubular isolation (detubulation) was assessed through electrophysiological observations of the abolition or otherwise of the after-depolarisation components of muscle action potentials. Vacuolation was assessed by stereological estimation of the volume fraction of muscle that was occupied by fluorescence-labelled vacuoles observed using confocal microscopy. Introduction of ouabain in the osmotic shock solutions sharply reduced such measures of vacuolation from 48.5 +/- 3.6% (mean +/- SEM; n = 70) to 12.1 +/- 2.7% (n = 190) of the total fibre volume. This was accompanied by sharp reductions in the incidence of detubulation (detubulation index reduced from 96.3 +/- 2.6% to 0.0 +/- 0.0%). The presence of ouabain was critical at the osmotic shock stage in the procedures at which the hypertonic glycerol-containing solutions were replaced by isotonic Ca(2+)-Mg(2+)-Ringer solutions. Finally, the alternative cardiac glycosides, strophanthidine and digoxin, exerted similar effects. These findings support a scheme in which the osmotic shock initiates a metabolically dependent fluid expulsion. This distends the transverse tubules into vacuoles that in turn lead to fibre detubulation.