Trevor Pugh

The Genetic and Molecular Analyses of Rare Candidate Germline BRIP1/FANCJ Variants Implicated in Hereditary Breast and Ovarian Cancers

Five rare variants in BRIP1/FANCJ, initially identified in ovarian cancer (OC) or breast cancer (BC) cases by the adult hereditary cancer clinics, were investigated for their candidacy as clinically relevant variants. These variants were investigated genetically in a population exhibiting genetic drift and molecularly assayed for biological impact. Using in silico tools, population-based genetic databases and other resources, three of the five reported BRIP1 variants were likely to be damaging: c.797C>T; p.Thr266Met, c.2087C>T; p.Pro696Leu and c.2990_2993delCAAA; p.Thr997ArgfsTer61. The carrier frequencies ranged from 0 to 0.7% in ancestry-defined cancer groups comprising 47 OC families, 49 hereditary breast and ovarian cancer syndrome families, 142 hereditary breast cancer syndrome families, 435 sporadic OC cases and 563 sporadic BC cases and 0–0.2% in 1025 population-matched controls. Multiple carriers of the these variants were identified in additional population-matched cancer cases. Of the five reported BRIP1 variants, p.Thr266Met, p.Pro696Leu and c.2990_2993delCAAA; p.Thr997ArgfsTer61, which were predicted to be damaging, conferred cellular sensitivity to mitomycin C and cisplatin unlike p.Ser139Ala and p.Ala406Ser. Collectively, our investigation implicates BRIP1 c.797C>T; p.Thr266Met, c.2087C>T; p.Pro696Leu and c.2990_2993delCAAA; p.Thr997ArgfsTer61 as deleterious variants in OC and BC.

Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab

PURPOSE Immune gene expression signatures are emerging as potential biomarkers for immunotherapy (IO). VIGex is a 12-gene expression classifier developed in both nCounter (Nanostring) and RNA sequencing (RNA-seq) assays and analytically validated across laboratories. VIGex classifies tumor samples into hot, intermediate-cold (I-Cold), and cold subgroups. VIGex-Hot has been associated with better IO treatment outcomes. Here, we investigated the performance of VIGex and other IO biomarkers in an independent data set of patients treated with pembrolizumab in the INSPIRE phase II clinical trial (ClinicalTrials.gov identifier: NCT02644369 ). MATERIALS AND METHODS Patients with advanced solid tumors were treated with pembrolizumab 200 mg IV once every 3 weeks. Tumor RNA-seq data from baseline tumor samples were classified by the VIGex algorithm. Circulating tumor DNA (ctDNA) was measured at baseline and start of cycle 3 using the bespoke Signatera assay. VIGex-Hot was compared with VIGex I-Cold + Cold and four groups were defined on the basis of the combination of VIGex subgroups and the change in ctDNA at cycle 3 from baseline (ΔctDNA). RESULTS Seventy-six patients were enrolled, including 16 ovarian, 12 breast, 12 head and neck cancers, 10 melanoma, and 26 other tumor types. Objective response rate was 24% in VIGex-Hot and 10% in I-Cold/Cold. VIGex-Hot subgroup was associated with higher overall survival (OS) and progression-free survival (PFS) when included in a multivariable model adjusted for tumor type, tumor mutation burden, and PD-L1 immunohistochemistry. The addition of ΔctDNA improved the predictive performance of the baseline VIGex classification for both OS and PFS. CONCLUSION Our data indicate that the addition of ΔctDNA to baseline VIGex may refine prediction for IO.

Molecular Monitoring in Endometrial Cancer—Ready for Prime Time?

Summary Efforts are under way to define the role of minimally invasive strategies for molecular monitoring and risk stratification in endometrial cancer. A recent publication aims to define the association between circulating tumor DNA level and disease stage in patients with newly diagnosed endometrial cancer and determine whether sequencing of longitudinal cell-free DNA samples can be used for disease monitoring and detection of progression or recurrence. These results accelerate the current knowledge of molecular follow-up in endometrial cancer. See related article by Ashley et al., p. 410

Double Trouble: Whole-Genome Doubling Distinguishes Early from Late Ovarian Cancer

Summary Dramatic differences in outcome between early- and late-stage high-grade serous ovarian cancer (HGSC) suggest perhaps distinct genetic origins due to differences in exposures to mutational processes. Evidence to support this hypothesis was recently reported by comparative analysis of copy-number signatures between early- and late-stage HGSCs. See related article by Cheng et al., p. 2911

Molecular Genetic Characteristics of FANCI, a Proposed New Ovarian Cancer Predisposing Gene

FANCI was recently identified as a new candidate ovarian cancer (OC)-predisposing gene from the genetic analysis of carriers of FANCI c.1813C>T; p.L605F in OC families. Here, we aimed to investigate the molecular genetic characteristics of FANCI, as they have not been described in the context of cancer. We first investigated the germline genetic landscape of two sisters with OC from the discovery FANCI c.1813C>T; p.L605F family (F1528) to re-affirm the plausibility of this candidate. As we did not find other conclusive candidates, we then performed a candidate gene approach to identify other candidate variants in genes involved in the FANCI protein interactome in OC families negative for pathogenic variants in BRCA1, BRCA2, BRIP1, RAD51C, RAD51D, and FANCI, which identified four candidate variants. We then investigated FANCI in high-grade serous ovarian carcinoma (HGSC) from FANCI c.1813C>T carriers and found evidence of loss of the wild-type allele in tumour DNA from some of these cases. The somatic genetic landscape of OC tumours from FANCI c.1813C>T carriers was investigated for mutations in selected genes, copy number alterations, and mutational signatures, which determined that the profiles of tumours from carriers were characteristic of features exhibited by HGSC cases. As other OC-predisposing genes such as BRCA1 and BRCA2 are known to increase the risk of other cancers including breast cancer, we investigated the carrier frequency of germline FANCI c.1813C>T in various cancer types and found overall more carriers among cancer cases compared to cancer-free controls (p = 0.007). In these different tumour types, we also identified a spectrum of somatic variants in FANCI that were not restricted to any specific region within the gene. Collectively, these findings expand on the characteristics described for OC cases carrying FANCI c.1813C>T; p.L605F and suggest the possible involvement of FANCI in other cancer types at the germline and/or somatic level.

Identifying Mechanisms of Resistance by Circulating Tumor DNA in EVOLVE, a Phase II Trial of Cediranib Plus Olaparib for Ovarian Cancer at Time of PARP Inhibitor Progression

Abstract Purpose: To evaluate the use of blood cell–free DNA (cfDNA) to identify emerging mechanisms of resistance to PARP inhibitors (PARPi) in high-grade serous ovarian cancer (HGSOC). Experimental Design: We used targeted sequencing (TS) to analyze 78 longitudinal cfDNA samples collected from 30 patients with HGSOC enrolled in a phase II clinical trial evaluating cediranib (VEGF inhibitor) plus olaparib (PARPi) after progression on PARPi alone. cfDNA was collected at baseline, before treatment cycle 2, and at end of treatment. These were compared with whole-exome sequencing (WES) of baseline tumor tissues. Results: At baseline (time of initial PARPi progression), cfDNA tumor fractions were 0.2% to 67% (median, 3.25%), and patients with high ctDNA levels (>15%) had a higher tumor burden (sum of target lesions; P = 0.043). Across all timepoints, cfDNA detected 74.4% of mutations known from prior tumor WES, including three of five expected BRCA1/2 reversion mutations. In addition, cfDNA identified 10 novel mutations not detected by WES, including seven TP53 mutations annotated as pathogenic by ClinVar. cfDNA fragmentation analysis attributed five of these novel TP53 mutations to clonal hematopoiesis of indeterminate potential (CHIP). At baseline, samples with significant differences in mutant fragment size distribution had shorter time to progression (P = 0.001). Conclusions: Longitudinal testing of cfDNA by TS provides a noninvasive tool for detection of tumor-derived mutations and mechanisms of PARPi resistance that may aid in directing patients to appropriate therapeutic strategies. With cfDNA fragmentation analyses, CHIP was identified in several patients and warrants further investigation.

EVOLVE: A Multicenter Open-Label Single-Arm Clinical and Translational Phase II Trial of Cediranib Plus Olaparib for Ovarian Cancer after PARP Inhibition Progression

Abstract Purpose: PARP inhibitors (PARPi) are standard-of-care therapy for high-grade serous ovarian cancer (HGSOC). We investigated combining cediranib (antiangiogenic) with olaparib (PARPi) at emergence of PARPi resistance. Patients and Methods: The proof-of-concept EVOLVE study (NCT02681237) assessed cediranib–olaparib combination therapy after progression on a PARPi. Women with HGSOC and radiographic evidence of disease progression were enrolled into one of three cohorts: platinum sensitive after PARPi; platinum resistant after PARPi; or progression on standard chemotherapy after progression on PARPi (exploratory cohort). Patients received olaparib tablets 300 mg twice daily with cediranib 20 mg once daily until progression or unacceptable toxicity. The coprimary endpoints were objective response rate (RECIST v1.1) and progression-free survival (PFS) at 16 weeks. Archival tissue (PARPi-naïve) and baseline biopsy (post-PARPi) samples were mandatory. Genomic mechanisms of resistance were assessed by whole-exome and RNA sequencing. Results: Among 34 heavily pretreated patients, objective responses were observed in 0 of 11 (0%) platinum-sensitive patients, 2 of 10 (20%) platinum-resistant patients, and 1 of 13 (8%) in the exploratory cohort. Sixteen-week PFS rates were 55%, 50%, and 39%, respectively. The most common grade 3 toxicities were diarrhea (12%) and anemia (9%). Acquired genomic alterations at PARPi progression were reversion mutations in BRCA1, BRCA2, or RAD51B (19%); CCNE1 amplification (16%); ABCB1 upregulation (15%); and SLFN11 downregulation (7%). Patients with reversion mutations in homologous recombination genes and/or ABCB1 upregulation had poor outcomes. Conclusions: This is currently the largest post-PARPi study identifying genomic mechanisms of resistance to PARPis. In this setting, the activity of cediranib–olaparib varied according to the PARPi resistance mechanism.

An Immune Gene Expression Risk Score for Distant Metastases after Radiotherapy for Cervical Cancer

Abstract Purpose: To develop an immune-based gene expression risk score to identify patients with cervical cancer at increased risk of distant metastases (DM). Experimental Design: Tumor biopsies were obtained from 81 patients prior to chemoradiotherapy. Whole-transcriptome RNA sequencing was performed (Illumina NextSeq500). Beginning with 4,723 immune-related genes, a 55-gene risk score for DM was derived using Cox modeling and principal component analysis. It was validated in independent cohorts of 274 patients treated at the Norwegian Radium Hospital (NRH) and 206 patients from The Cancer Genome Atlas (TCGA). Results: The risk score was predictive of DM (HR, 2.7; P < 0.0001) and lower cause-specific survival (CSS) by univariate analysis (HR, 2.0; P = 0.0003) and multivariate analysis adjusted for clinical factors (DM HR, 3.0; P < 0.0001; CSS HR, 2.2; P = 0.0004). The risk score predicted DM (HR, 1.4; P = 0.05) and CSS (HR, 1.48; P = 0.013) in the NRH cohort and CSS (HR, 1.4; P = 0.03) in TCGA cohort. Higher risk scores were associated with lower CIBERSORT estimates of tumor-infiltrating immune cells, including CD8 T cells and M1 and M2 macrophages (all P < 0.001). Higher risk scores were associated with lower expression (all P < 0.001) of important chemokines (CXCL12, CXCR4), IFN-regulated genes (IRF1, STAT1, IDO1), and immune checkpoint regulators (PD-1, PD-L1, CTLA-4). Conclusions: The immune metastatic risk score addresses important challenges in the treatment of cervical cancer—identifying patients at high risk of DM after radiotherapy. The findings of this study indicate that high tumor mutational burden and a “cold,” immune-excluded tumor microenvironment influence distant metastatic recurrence. Further validation of the risk score is needed.

Molecular Classification in Relation to Prevention of Endometrial Cancer Recurrence and Lifestyle Factors

Endometrial cancer (EC) is one of the most prevalent cancers in women worldwide with a significantly increasing incidence, especially in developed countries. One of the reasons for the increase in the incidence of this disease is the rising incidence of obesity as the biggest risk factor for the development of this disease. Other important risk factors are hypertension, diabetes mellitus and the general ageing of the population. These risk factors are not only associated with a higher risk of developing the disease, but also, for example, with post-operative complications affecting the quality of life of patients after surgery. The molecular classification of endometrial cancer, which has been introduced into clinical practice in recent years, is currently helping physicians to make treatment decisions for individual patients and predict prognosis. In this project, we would like to focus on the relationship of this molecular classification with genomic mutational signatures detected by whole-exome sequencing and their association with lifestyle risk factors for endometrial cancer (obesity - BMI, hypertension, diabetes mellitus), including the extent of staging lymphadenectomy. Identification and detailed analysis of dominant mutational profiles associated with a specific molecular subtype of EC and their influence on the presence of lifestyle risk factors may have a major impact on both disease development and prevention of disease recurrence. The possible relationship of the mutational profile with the extent of staging lymphadenectomy may help in deciding the extent of this surgical procedure, which subsequently affects the quality of life of patients, especially in patients with high BMI. Given the widespread prevalence of lifestyle risk factors in the developed world, a detailed understanding of the relationship between the genetic profile, its alterations and the prevalence of these risk factors, with potentially major implications for treatment success, is crutial.

A Study of Cediranib and Olaparib at Disease Worsening in Ovarian Cancer

This is a proof of concept study (a study to initially assess the benefit a new drug indication) of the combination of two investigational drugs cediranib and olaparib in patients with ovarian cancer whose cancer worsened despite previously receiving a poly (ADP-ribose) polymerase (PARP) inhibitor (such as olaparib). The purpose of this study is to find out whether taking cediranib and olaparib at the same time will be able to stop tumors from growing further or shrink it. Cediranib works by blocking (inhibiting) several specific proteins in cancer cells called the vascular endothelial growth factor (VEGF) receptors. These proteins are important in the formation of blood vessels to the tumor. It is believed that many tumors survive because the blood vessels on the tumors bring oxygen and nutrients to the cancer cells which enable them to grow. If the formation of the blood vessels is blocked, the tumor cells may die. Olaparib, works by blocking a protein called poly \[adenosine diphosphate-ribose\] polymerase (PARP). PARP is an important protein which tries to fix damaged deoxyribonucleic acid (DNA, molecules that contain important instructions for the development of cells). Many cancers are thought to develop from damaged DNA. By blocking PARP from fixing damaged DNA, the tumor cells may die. Adding cediranib to olaparib, and therefore blocking several different mechanisms for cancer growth, may stop tumor growth.

Study of the Effects of Pembrolizumab in Patients With Advanced Solid Tumors

This is a phase 2 study whose main purpose is to evaluate gene changes and immune biomarkers in patients with solid tumors during treatment with pembrolizumab and in relation to response to treatment. Pembrolizumab is a monoclonal antibody that is designed to block a protein called programmed cell death 1 ligand 1 (PD-L1) which will allow the body's immune system to kill the cancer cells.