Robert Clarke

Robert Clarke


Research Focus & Metrics

Academic Career Length

46Years (1981-Present)

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

Representative Publications

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1 September 2014 in Cancer Discovery
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Journal Article
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MHManuel Hidalgo
Manuel Hidalgo
FAFrédéric Amant
Frédéric Amant
ABAndrew V Biankin
Andrew V Biankin
EBEva Budinská
Eva Budinská
ABAnnette T Byrne
Annette T Byrne
AVAlberto Villanueva
Alberto Villanueva
Recently, there has been an increasing interest in the development and characterization of patient-derived tumor xenograft (PDX) models for cancer research. PDX models mostly retain the principal histologic and genetic characteristics of their donor tumor and remain stable across passages. These models have been shown to be predictive of clinical outcomes and are being used for preclinical drug evaluation, biomarker identification, biologic studies, and personalized medicine strategies. This article summarizes the current state of the art in this field, including methodologic issues, available collections, practical applications, challenges and shortcomings, and future directions, and introduces a European consortium of PDX models. Significance: PDX models are increasingly used in translational cancer research. These models are useful for drug screening, biomarker development, and the preclinical evaluation of personalized medicine strategies. This review provides a timely overview of the key characteristics of PDX models and a detailed discussion of future directions in the field. Cancer Discov; 4(9); 998–1013. ©2014 AACR.

20 January 2017 in Nature Reviews Cancer
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Journal Article
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ABAnnette T Byrne
Annette T Byrne
DADenis G. Alférez
Denis G. Alférez
FAFrédéric Amant
Frédéric Amant
DADaniela Annibali
Daniela Annibali
Joaquín ArribasJoaquín Arribas
Joaquín Arribas
LTLivio Trusolino
Livio Trusolino
Patient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and the implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the perspective of EurOPDX, an international initiative devoted to PDX-based research.

1 January 2008 in Nature Reviews Cancer
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Journal Article
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RCRobert Clarke
Robert Clarke
HRHabtom W. Ressom
Habtom W. Ressom
AWAntai Wang
Antai Wang
JXJianhua Xuan
Jianhua Xuan
MLMinetta C. Liu
Minetta C. Liu
YWYue Wang
Yue Wang

13 July 2003 in Nature Medicine
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Journal Article
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MJMichael D Johnson
Michael D Johnson
NKNicholas Kenney
Nicholas Kenney
ASAdriana Stoica
Adriana Stoica
LHLeena Hilakivi-Clarke
Leena Hilakivi-Clarke
BSBaljit Singh
Baljit Singh
MMMary Beth Martin
Mary Beth Martin

13 January 2010 in Cancer Research
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Journal Article
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HHHannah Harrison
Hannah Harrison
GFGillian Farnie
Gillian Farnie
SHsacha howell
sacha howell
RRRebecca E. Rock
Rebecca E. Rock
SSSpyros Stylianou
Spyros Stylianou
RCRobert B. Bryan Clarke
Robert B. Bryan Clarke
Notch receptor signaling pathways play an important role not only in normal breast development but also in breast cancer development and progression. We assessed the role of Notch receptors in stem cell activity in breast cancer cell lines and nine primary human tumor samples. Stem cells were enriched by selection of anoikis-resistant cells or cells expressing the membrane phenotype ESA+/CD44+/CD24low. Using these breast cancer stem cell populations, we compared the activation status of Notch receptors with the status in luminally differentiated cells, and we evaluated the consequences of pathway inhibition in vitro and in vivo. We found that Notch4 signaling activity was 8-fold higher in stem cell–enriched cell populations compared with differentiated cells, whereas Notch1 signaling activity was 4-fold lower in the stem cell–enriched cell populations. Pharmacologic or genetic inhibition of Notch1 or Notch4 reduced stem cell activity in vitro and reduced tumor formation in vivo, but Notch4 inhibition produced a more robust effect with a complete inhibition of tumor initiation observed. Our findings suggest that Notch4-targeted therapies will be more effective than targeting Notch1 in suppressing breast cancer recurrence, as it is initiated by breast cancer stem cells. Cancer Res; 70(2); 709–18

1 January 2003 in Differentiation
Verified
Journal Article
Closed access
CPChristopher S. Potten
Christopher S. Potten
CBCatherine Booth
Catherine Booth
GTGregory L. Tudor
Gregory L. Tudor
DBDawn Booth
Dawn Booth
GBGerard Brady
Gerard Brady
HOHideyuki Okano
Hideyuki Okano