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Dive into the research topics where Gillian L. Hirst is active.

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Featured researches published by Gillian L. Hirst.


Oncogene | 1997

hMLH1 expression and cellular responses of ovarian tumour cells to treatment with cytotoxic anticancer agents.

Robert Brown; Gillian L. Hirst; William M. Gallagher; Amanda J. McIlwrath; Geoffrey P. Margison; A G Van der Zee; D A Anthoney

Loss of expression of the hMLH1 and hPMS2 subunits of the MutLα-mismatch repair complex is a frequent event (9/10) in independent cisplatin resistant derivatives of a human ovarian carcinoma cell line. However, only hMLH1 mRNA is decreased in these MutLα-deficient lines. No alterations in the levels of the hMSH2 and hMSH6 (GTBP) subunits of the MutSα-complex are observed. An increase in the proportion of ovarian tumours negative for the hMLH1 subunit is observed in samples taken at second look laporotomy after chemotherapy (36%: 4/11), compared to untreated tumours (10%: 4/39). No significant difference is observed for hMSH2, hMSH6 or hPMS2. Furthermore, cisplatin and doxorubicin-resistant ovarian lines deficient in hMLH1 expression are cross-resistant to 6-thioguanine and the methylating agent N-methyl-N-nitrosourea (MNU). Depletion of O6-alkylguanine-DNA-alkyltransferase (ATase) activity confers only limited increased sensitivity to MNU. Thus the mismatch repair deficient lines retain DNA damage tolerance even after ATase depletion. The hMLH1 deficient lines also lose ability to engage G1 and G2 cell cycle arrest after cisplatin damage. Together these data suggest that loss of hMLH1 expression may be a high frequency event following exposure of ovarian tumour cells to cisplatin and may be critically involved in the development of drug resistance. Thus, the hMLH1 status of these cells appears to be highly correlated with the ability to engage cell death and cell cycle arrest after DNA damage induced by cisplatin.


The New England Journal of Medicine | 2016

Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

Hope S. Rugo; Olufunmilayo I. Olopade; Angela DeMichele; Christina Yau; Laura J. van 't Veer; Meredith Buxton; Michael Hogarth; Nola M. Hylton; Melissa Paoloni; Jane Perlmutter; W. Fraser Symmans; Douglas Yee; A. Jo Chien; Anne M. Wallace; Henry G. Kaplan; Judy C. Boughey; Tufia C. Haddad; Kathy S. Albain; Minetta C. Liu; Claudine Isaacs; Qamar J. Khan; Julie E. Lang; Rebecca K. Viscusi; Lajos Pusztai; Stacy L. Moulder; Stephen Y. Chui; Kathleen A. Kemmer; Anthony Elias; Kirsten K. Edmiston; David M. Euhus

BACKGROUND The genetic and clinical heterogeneity of breast cancer makes the identification of effective therapies challenging. We designed I-SPY 2, a phase 2, multicenter, adaptively randomized trial to screen multiple experimental regimens in combination with standard neoadjuvant chemotherapy for breast cancer. The goal is to match experimental regimens with responding cancer subtypes. We report results for veliparib, a poly(ADP-ribose) polymerase (PARP) inhibitor, combined with carboplatin. METHODS In this ongoing trial, women are eligible for participation if they have stage II or III breast cancer with a tumor 2.5 cm or larger in diameter; cancers are categorized into eight biomarker subtypes on the basis of status with regard to human epidermal growth factor receptor 2 (HER2), hormone receptors, and a 70-gene assay. Patients undergo adaptive randomization within each biomarker subtype to receive regimens that have better performance than the standard therapy. Regimens are evaluated within 10 biomarker signatures (i.e., prospectively defined combinations of biomarker subtypes). Veliparib-carboplatin plus standard therapy was considered for HER2-negative tumors and was therefore evaluated in 3 signatures. The primary end point is pathological complete response. Tumor volume changes measured by magnetic resonance imaging during treatment are used to predict whether a patient will have a pathological complete response. Regimens move on from phase 2 if and when they have a high Bayesian predictive probability of success in a subsequent phase 3 neoadjuvant trial within the biomarker signature in which they performed well. RESULTS With regard to triple-negative breast cancer, veliparib-carboplatin had an 88% predicted probability of success in a phase 3 trial. A total of 72 patients were randomly assigned to receive veliparib-carboplatin, and 44 patients were concurrently assigned to receive control therapy; at the completion of chemotherapy, the estimated rates of pathological complete response in the triple-negative population were 51% (95% Bayesian probability interval [PI], 36 to 66%) in the veliparib-carboplatin group versus 26% (95% PI, 9 to 43%) in the control group. The toxicity of veliparib-carboplatin was greater than that of the control. CONCLUSIONS The process used in our trial showed that veliparib-carboplatin added to standard therapy resulted in higher rates of pathological complete response than standard therapy alone specifically in triple-negative breast cancer. (Funded by the QuantumLeap Healthcare Collaborative and others; I-SPY 2 TRIAL ClinicalTrials.gov number, NCT01042379.).


Current Biology | 1999

Dependence on RAD52 and RAD1 for anticancer drug resistance mediated by inactivation of mismatch repair genes

Stephen T. Durant; Melanie M. Morris; Maureen Illand; Helen J. McKay; Carol McCormick; Gillian L. Hirst; Rhona H. Borts; Robert Brown

Mismatch repair (MMR) proteins repair mispaired DNA bases and have an important role in maintaining the integrity of the genome [1]. Loss of MMR has been correlated with resistance to a variety of DNA-damaging agents, including many anticancer drugs [2]. How loss of MMR leads to resistance is not understood, but is proposed to be due to loss of futile MMR activity and/or replication stalling [3] [4]. We report that inactivation of MMR genes (MLH1, MLH2, MSH2, MSH3, MSH6, but not PMS1) in isogenic strains of Saccharomyces cerevisiae led to increased resistance to the anticancer drugs cisplatin, carboplatin and doxorubicin, but had no effect on sensitivity to ultraviolet C (UVC) radiation. Sensitivity to cisplatin and doxorubicin was increased in mlh1 mutant strains when the MLH1 gene was reintroduced, demonstrating a direct involvement of MMR proteins in sensitivity to these DNA-damaging agents. Inactivation of MLH1, MLH2 or MSH2 had no significant effect, however, on drug sensitivities in the rad52 or rad1 mutant strains that are defective in mitotic recombination and removing unpaired DNA single strands. We propose a model whereby MMR proteins - in addition to their role in DNA-damage recognition - decrease adduct tolerance during DNA replication by modulating the levels of recombination-dependent bypass. This hypothesis is supported by the finding that, in human ovarian tumour cells, loss of hMLH1 correlated with acquisition of cisplatin resistance and increased cisplatin-induced sister chromatid exchange, both of which were reversed by restoration of hMLH1 expression.


Nature Medicine | 2015

Evolution of metastasis revealed by mutational landscapes of chemically induced skin cancers

Melissa Q. McCreery; Kyle D. Halliwill; Douglas Chin; Reyno DelRosario; Gillian L. Hirst; Peter Vuong; Kuang-Yu Jen; James Hewinson; David J. Adams; Allan Balmain

Human tumors show a high level of genetic heterogeneity, but the processes that influence the timing and route of metastatic dissemination of the subclones are unknown. Here we have used whole-exome sequencing of 103 matched benign, malignant and metastatic skin tumors from genetically heterogeneous mice to demonstrate that most metastases disseminate synchronously from the primary tumor, supporting parallel rather than linear evolution as the predominant model of metastasis. Shared mutations between primary carcinomas and their matched metastases have the distinct A-to-T signature of the initiating carcinogen dimethylbenzanthracene, but non-shared mutations are primarily G-to-T, a signature associated with oxidative stress. The existence of carcinomas that either did or did not metastasize in the same host animal suggests that there are tumor-intrinsic factors that influence metastatic seeding. We also demonstrate the importance of germline polymorphisms in determining allele-specific mutations, and we identify somatic genetic alterations that are specifically related to initiation of carcinogenesis by Hras or Kras mutations. Mouse tumors that mimic the genetic heterogeneity of human cancers can aid our understanding of the clonal evolution of metastasis and provide a realistic model for the testing of novel therapies.


npj Breast Cancer | 2017

DNA repair deficiency biomarkers and the 70-gene ultra-high risk signature as predictors of veliparib/carboplatin response in the I-SPY 2 breast cancer trial

Denise M. Wolf; Christina Yau; Ashish Sanil; Annuska M. Glas; Emanuel F. Petricoin; Julia Wulfkuhle; Tesa Severson; Sabine C. Linn; Lamorna Brown-Swigart; Gillian L. Hirst; Meredith Buxton; Angela DeMichele; Nola M. Hylton; Fraser Symmans; D Yee; Melissa Paoloni; Laura Esserman; Donald A. Berry; Hope S. Rugo; Olufunmilayo I. Olopade; Laura J. van 't Veer

Veliparib combined with carboplatin (VC) was an experimental regimen evaluated in the biomarker-rich neoadjuvant I-SPY 2 trial for breast cancer. VC showed improved efficacy in the triple negative signature. However, not all triple negative patients achieved pathologic complete response and some HR+HER2− patients responded. Pre-specified analysis of five DNA repair deficiency biomarkers (BRCA1/2 germline mutation; PARPi-7, BRCA1ness, and CIN70 expression signatures; and PARP1 protein) was performed on 116 HER2− patients (VC: 72 and concurrent controls: 44). We also evaluated the 70-gene ultra-high risk signature (MP1/2), one of the biomarkers used to define subtype in the trial. We used logistic modeling to assess biomarker performance. Successful biomarkers were combined using a simple voting scheme to refine the ‘predicted sensitive’ group and Bayesian modeling used to estimate the pathologic complete response rates. BRCA1/2 germline mutation status associated with VC response, but its low prevalence precluded further evaluation. PARPi-7, BRCA1ness, and MP1/2 specifically associated with response in the VC arm but not the control arm. Neither CIN70 nor PARP1 protein specifically predicted VC response. When we combined the PARPi-7 and MP1/2 classifications, the 42% of triple negative patients who were PARPi7-high and MP2 had an estimated pCR rate of 75% in the VC arm. Only 11% of HR+/HER2− patients were PARPi7-high and MP2; but these patients were also more responsive to VC with estimated pathologic complete response rates of 41%. PARPi-7, BRCA1ness and MP1/2 signatures may help refine predictions of VC response, thereby improving patient care.Biomarkers: Gene expression tests predict response to PARP inhibitor combined with carboplatinSeveral predictive gene signatures can help identify breast cancer patients likely to respond to veliparib, an investigational PARP inhibitor, combined with the chemotherapy agent carboplatin. A team led by Denise Wolf, Christina Yau, and Laura van ‘t Veer from the University of California, San Francisco, used data from the I-SPY 2 trial to assess the predictive value of six different biomarkers in determining which women with early stage and locally advanced, aggressive breast cancer would have no signs of disease after veliparib—carboplatin treatment. They found three biomarkers with predictive value: a 7-gene expression signature that predicts breast cancer cell line sensitivity to another PARP inhibitor called olaparib; a 77-gene expression signature that detects molecular features shared with BRCA1-mutant tumours; and a 70-gene signature of recurrence risk called MammaPrint.


Cell Reports | 2016

Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer

David A. Quigley; Eve Kandyba; Phillips Y. Huang; Kyle D. Halliwill; Jonas Sjölund; Facundo G. Pelorosso; Christine Wong; Gillian L. Hirst; Di Wu; Reyno DelRosario; Atul Kumar; Allan Balmain

Inherited germline polymorphisms can cause gene expression levels in normal tissues to differ substantially between individuals. We present an analysis of the genetic architecture of normal adult skin from 470 genetically unique mice, demonstrating the effect of germline variants, skin tissue location, and perturbation by exogenous inflammation or tumorigenesis on gene signaling pathways. Gene networks related to specific cell types and signaling pathways, including sonic hedgehog (Shh), Wnt, Lgr family stem cell markers, and keratins, differed at these tissue sites, suggesting mechanisms for the differential susceptibility of dorsal and tail skin to development of skin diseases and tumorigenesis. The Pten tumor suppressor gene network is rewired in premalignant tumors compared to normal tissue, but this response to perturbation is lost during malignant progression. We present a software package for expression quantitative trait loci (eQTL) network analysis and demonstrate how network analysis of whole tissues provides insights into interactions between cell compartments and signaling molecules.


Cancer Research | 2016

Abstract 859: Gene and pathway differences between MammaPrint High1/High2 risk classes: results from the I-SPY 2 TRIAL in breast cancer

Denise M. Wolf; Christina Yau; Lamorna Brown-Swigart; Gillian L. Hirst; Meredith Buxton; Melissa Paoloni; I-Spy Trial Investigators; Olufunmilayo I. Olopade; Angela De Michele; Fraser Symmans; Hope S. Rugo; Donald A. Berry; Laura Esserman; Laura J. van 't Veer

BACKGROUND: Further stratification of the 70-gene MammaPrint(TM) prognostic signature into ‘high’ and ‘ultra-high’ risk groups may help predict chemo-sensitivity. In I-SPY 2, patients were classified as MammaPrint High1 (MP1) or MammaPrint (ultra) High2 (MP2), using a threshold predefined by the median cut-point of I-SPY 1 participants who fit the eligibility criteria for I-SPY 2. MP1/2 classification was added to HR and HER2 to define the subtypes used in the I-SPY 2 adaptive randomization engine. The first two experimental agents/combinations to graduate from I-SPY 2 were veliparib/carboplatin (V/C) in the TN subset, and neratinib (N) in the HR-HER2+ subset. MP2 was found to be a sensitivity marker for V/C but not N, whereas MP1 class appears associated with resistance to N within the HER2- subset. Despite these associations with response, it remains unclear whether MP1/MP2 classification represents differences in tumor biology. Here, we present exploratory analysis to elucidate the pathway differences between the MP classes. METHODS: 263 patients (V/C: 71, N: 115, and controls: 77) with pre-treatment Agilent 44K microarrays and MP1/2 class assessments were considered in this analysis. To identify signature genes associated with MP1 vs. MP2 class, we (1) apply a Wilcoxon rank sum test and (2) fit a logistic model. P-values are corrected for multiple comparisons using the Benjamini-Hochberg (BH) method, with a significance threshold of BH p RESULTS: 63% (165/263) of patients are MP1 class and 37% (98/263) MP2. MP1/2 class is associated with receptor subtype (Fisher9s exact test: p CONCLUSION: MP2 class appears associated with higher expression of cell cycle & DNA repair genes. Association between MP2 class and response to V/C suggests that higher cell cycle activity may contribute to V/C sensitivity. Citation Format: Denise M. Wolf, Christina Yau, Lamorna Brown-Swigart, Gillian Hirst, Meredith Buxton, Melissa Paoloni, I-SPY 2 TRIAL Investigators, Olufunmilayo Olopade, Angela De Michele, Fraser Symmans, Hope Rugo, Don Berry, Laura Esserman, Laura van ‘t Veer. Gene and pathway differences between MammaPrint High1/High2 risk classes: results from the I-SPY 2 TRIAL in breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 859.


Methods in molecular medicine | 2000

Detection of the Replication Error Phenotype in Ovarian Cancer-PCR Analysis of Microsatellite Instability.

Gillian L. Hirst; Robert Brown

Microsatellites are simple, tandemly repeated DNA sequences that are abundantly distributed throughout the human genome, and because of their polymorphic nature have been widely utilized as genetic markers (1). They consist of a repeating unit of 1 to 5 basepairs, averaging 25 to 60 bases in length, and are commonly found in the form d(CA)n: d(GT)n (2). It has been estimated that there are approximately 100,000 CA/GT repeat sequences in the human genome (3). Studies in patients with HNPCC (hereditary nonpolyposis colorectal cancer) first reported the appearance of instability at microsatellites sequences involving either an expansion or contraction of the repeat sequence (4,5). The suggestion that this might reflect a defect in DNA repair was vindicated when subsequent work demonstrated defects in one of four mismatch repair genes [reviewed in (6)]. Such microsatellite instability (MI) has now been reported in a variety of different tumor types including lung, breast, ovary, stomach, endometrium, and bladder [reviewed in (7)].


npj Breast Cancer | 2018

Surgical Standards for Management of the Axilla in Breast Cancer Clinical Trials with Pathological Complete Response Endpoint

Judy C. Boughey; Michael Alvarado; Rachael Lancaster; W. Fraser Symmans; Rita A. Mukhtar; Jm Wong; Cheryl Ewing; David A. Potter; Todd M Tuttle; Tina J. Hieken; Jodi M. Carter; James W. Jakub; Henry G. Kaplan; Claire L. Buchanan; Nora Jaskowiak; Husain Sattar; Jeffrey Mueller; Rita Nanda; Claudine Isaacs; Paula R. Pohlmann; Filipa Lynce; Eleni A. Tousimis; Jay C. Zeck; M. Catherine Lee; Julie E. Lang; Paulette Mhawech-Fauceglia; Roshni Rao; Bret Taback; Margaret Chen; Kevin Kalinsky

Advances in the surgical management of the axilla in patients treated with neoadjuvant chemotherapy, especially those with node positive disease at diagnosis, have led to changes in practice and more judicious use of axillary lymph node dissection that may minimize morbidity from surgery. However, there is still significant confusion about how to optimally manage the axilla, resulting in variation among practices. From the viewpoint of drug development, assessment of response to neoadjuvant chemotherapy remains paramount and appropriate assessment of residual disease—the primary endpoint of many drug therapy trials in the neoadjuvant setting—is critical. Therefore decreasing the variability, especially in a multicenter clinical trial setting, and establishing a minimum standard to ensure consistency in clinical trial data, without mandating axillary lymph node dissection, for all patients is necessary. The key elements which include proper staging and identification of nodal involvement at diagnosis, and appropriately targeted management of the axilla at the time of surgical resection are presented. The following protocols have been adopted as standard procedure by the I-SPY2 trial for management of axilla in patients with node positive disease, and present a framework for prospective clinical trials and practice.


Cancer Research | 2016

Abstract 858: Combining sensitivity markers to identify triple-negative breast cancer patients most responsive to veliparib/carboplatin: results from the I-SPY 2 TRIAL

Denise M. Wolf; Christina Yau; Ashish Sanil; Lamorna Brown-Swigart; Gillian L. Hirst; Meredith Buxton; Melissa Paoloni; I-Spy Trial Investigators; Olufunmilayo I. Olopade; Hope S. Rugo; Angela De Michele; Fraser Symmans; Donald A. Berry; Laura Esserman; Laura J. van 't Veer

BACKGROUND: In the I-SPY 2 TRIAL, HER2-negative patients received standard chemotherapy alone or with the PARP inhibitor veliparib and carboplatin (VC). VC graduated in the triple-negative (TN) subtype, and we’ve previously shown that MammaPrint High1/High2 (MP1/2) risk class and the PARPi-7 signature may predict VC response. Here we evaluate whether combining these signatures identifies a subset of TN patients especially likely to respond to VC. METHODS: This analysis includes 60 TN patients (VC: 39 and controls: 21). PARPi-7 and MP1/2 signature scores are computed from Agilent 44K arrays. We further stratify TN patients by VC-sensitivity biomarkers (MP2, PARPi7-high). We use Bayesian modeling to estimate pCR rates in each arm and the predictive probability of VC demonstrating superiority to control in a 1:1 randomized phase 3 trial of 300 ‘biomarker-positive’ patients. Our study is exploratory and does not adjust for multiplicities of biomarkers outside this study. RESULTS: Though 90% of TNs are PARPi7-high or MP2, concordance between these biomarkers is 50%. The estimated pCR rates to VC are 69% in PARPi7-high and 64% in MP2 TN patients, compared to 53% in the entire TN subgroup. TN patients positive for both sensitivity markers (assessed as PARPi7-high and MP2) achieved an estimated pCR rate of 79% in the VC arm vs. 23% in the control arm, with a predictive probability of success in phase 3 of 99.6%. In contrast, TN patients negative for at least one VC sensitivity marker (PARPi7-low and/or MP1) only had an estimated response rate to VC of 35%. CONCLUSION: Our analysis suggests TN patients who are also MP2 and PARPi7-high may be more sensitive to V/C than patients with fewer markers in the ‘sensitive’ state. Citation Format: Denise M. Wolf, Christina Yau, Ashish Sanil, Lamorna Brown-Swigart, Gillian Hirst, Meredith Buxton, Melissa Paoloni, I-SPY 2 TRIAL Investigators, Olufunmilayo Olopade, Hope Rugo, Angela De Michele, Fraser Symmans, Don Berry, Laura Esserman, Laura van ‘t Veer. Combining sensitivity markers to identify triple-negative breast cancer patients most responsive to veliparib/carboplatin: results from the I-SPY 2 TRIAL. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 858.

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Christina Yau

Buck Institute for Research on Aging

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Denise M. Wolf

University of California

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Laura Esserman

University of California

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Donald A. Berry

University of Texas MD Anderson Cancer Center

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Hope S. Rugo

University of California

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Melissa Paoloni

National Institutes of Health

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