Austin Miller

Prof. Austin Miller

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 May 2020 in Nature Genetics
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HZHaoyu Zhang
Haoyu Zhang
TAThomas U. Ahearn
Thomas U. Ahearn
JLJulie Lecarpentier
Julie Lecarpentier
JBJonathan Beesley
Jonathan Beesley
GQGuanghao Qi
Guanghao Qi
MGMontserrat García-Closas
Montserrat García-Closas

7 January 2020 in Nature Genetics
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GCGEMO Study Collaborators
GEMO Study Collaborators
LFLaura Fachal
Laura Fachal
ECEmbrace Collaborators
Embrace Collaborators
KIKConFab Investigators
KConFab Investigators
HIHEBON Investigators
HEBON Investigators
ADAlison M. Dunning
Alison M. Dunning

15 April 2019 in Nature Communications
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MFManuel A. Ferreira
Manuel A. Ferreira
EGEric Gamazon
Eric Gamazon
FAFares Al-Ejeh
Fares Al-Ejeh
KAKristiina Aittomäki
Kristiina Aittomäki
IAIrene L Andrulis
Irene L Andrulis
GCGeorgia Chenevix-Trench
Georgia Chenevix-Trench
Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.

25 January 2019 in Nature Communications
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XJXia Jiang
Xia Jiang
HFHilary K. Finucane
Hilary K. Finucane
FSFredrick Schumacher
Fredrick Schumacher
SSStephanie L. Schmit
Stephanie L. Schmit
JTJonathan P. Tyrer
Jonathan P. Tyrer
SLSara Lindstroem
Sara Lindstroem
Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10−8), breast and ovarian cancer (rg = 0.24, p = 7 × 10−5), breast and lung cancer (rg = 0.18, p =1.5 × 10−6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10−4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

15 March 2022 in Journal of Clinical Oncology
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JLJoyce F. Liu
Joyce F. Liu
MBMark F. Brady
Mark F. Brady
UMUrsula A. Matulonis
Ursula A. Matulonis
AMAustin Miller
Austin Miller
EKElise C. Kohn
Elise C. Kohn
MBMichael A. Bookman
Michael A. Bookman
PURPOSE: Platinum-based chemotherapy is the standard of care for platinum-sensitive ovarian cancer, but complications from repeated platinum therapy occur. We assessed the activity of two all-oral nonplatinum alternatives, olaparib or olaparib/cediranib, versus platinum-based chemotherapy. PATIENTS AND METHODS: NRG-GY004 is an open-label, randomized, phase III trial conducted in the United States and Canada. Eligible patients had high-grade serous or endometrioid platinum-sensitive ovarian cancer. Patients were randomly assigned 1:1:1 to platinum-based chemotherapy, olaparib, or olaparib/cediranib. The primary end point was progression-free survival (PFS) in the intention-to-treat population. Secondary end points included activity within germline BRCA-mutated or wild-type subgroups and patient-reported outcomes (PROs). RESULTS: Between February 04, 2016, and November 13, 2017, 565 eligible patients were randomly assigned. Median PFS was 10.3 (95% CI, 8.7 to 11.2), 8.2 (95% CI, 6.6 to 8.7), and 10.4 (95% CI, 8.5 to 12.5) months with chemotherapy, olaparib, and olaparib/cediranib, respectively. Olaparib/cediranib did not improve PFS versus chemotherapy (hazard ratio [HR] 0.86; 95% CI, 0.66 to 1.10; P = .077). In women with germline BRCA mutation, the PFS HR versus chemotherapy was 0.55 (95% CI, 0.32 to 0.94) for olaparib/cediranib and 0.63 (95% CI, 0.37 to 1.07) for olaparib. In women without a germline BRCA mutation, the PFS HR versus chemotherapy was 0.97 (95% CI, 0.73 to 1.30) for olaparib/cediranib and 1.41 (95% CI, 1.07 to 1.86) for olaparib. Hematologic adverse events occurred more commonly with chemotherapy; however, nonhematologic adverse events were higher with olaparib/cediranib. In 489 patients evaluable for PROs, patients receiving olaparib/cediranib scored on average 1.1 points worse on the NFOSI-DRS-P subscale (97.5% CI, –2.0 to –0.2, P = .0063) versus chemotherapy; no difference between olaparib and chemotherapy was observed. CONCLUSION: Combination olaparib/cediranib did not improve PFS compared with chemotherapy and resulted in reduced PROs. Notably, in patients with a germline BRCA mutation, both olaparib and olaparib/cediranib had significant clinical activity.

21 July 2016 in JCI Insight
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SKSuresh Gopi Kalathil
Suresh Gopi Kalathil
ALAmit Anand Lugade
Amit Anand Lugade
AMAustin Miller
Austin Miller
Renuka IyerRenuka Iyer
Renuka Iyer
YTYasmin Thanavala
Yasmin Thanavala
BACKGROUND. Sorafenib is an oral antiangiogenic agent administered in advanced-stage hepatocellular carcinoma (HCC). Based on preclinical and human studies, we hypothesized that, in addition to its antiangiogenic properties, sorafenib may beneficially reduce the extent of the immunosuppressive network in HCC patients. To test this hypothesis, we examined whether alterations in the immunosuppressive burden of advanced-stage HCC patients correlated with clinical outcome. METHODS. In before and after sorafenib treatment, blood samples collected from 19 patients with advanced HCC, the frequency of PD-1 + T cells, Tregs, and myeloid derived suppressor cells (MDSC) were quantified by multiparameter FACS. Cytokine levels in plasma were determined by ELISA. RESULTS. Overall survival (OS) was significantly impacted by the reduction in the absolute number of both CD4 + PD-1 + T cells and CD8 + PD-1 + T cells following sorafenib treatment. Significant decreases in the frequency and absolute number of Foxp3 + Tregs were also observed, and a statistically significant improvement in OS was noted in patients exhibiting a greater decrease in the number of Foxp3 + Tregs. The ratio of CD4 + CD127 + PD-1 – T effector cells to CD4 + Foxp3 + PD-1 + Tregs was significantly increased following treatment with sorafenib. Increased frequency of CD4 + CD127 + T effector cells in the posttreatment samples significantly correlated with OS. CONCLUSION. This study is the first to our knowledge to demonstrate the potent immunomodulatory effects of sorafenib therapy on PD-1 + T cells and Tregs and the ensuing correlation with survival. These phenotypes could serve as predictive biomarkers to identify HCC patients who are likely to benefit from sorafenib treatment. TRIAL REGISTRATION. Registration is not required for observational studies. FUNDING. This study was supported by NCI Core Grant to RPCI (NIH P30 CA016056) and discretionary funds to Y. Thanavala.