Janet Shipley

Prof. Janet Shipley

Sarcoma Molecular Pathology Team, Divisions of Molecular Pathology and Cancer Therapeutics, The Institute of Cancer Research, London, UK.

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

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

Representative Publications

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9 June 2002 in Nature
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Journal Article
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HDHelen Davies
Helen Davies
GBGraham R. Bignell
Graham R. Bignell
CCCharles Cox
Charles Cox
PSPhilip Stephens
Philip Stephens
SESarah Edkins
Sarah Edkins
PFP. Andrew Futreal
P. Andrew Futreal

1 August 1994 in Nature Genetics
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Journal Article
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JCJeremy Clark
Jeremy Clark
PRPhilippe J. Rocques
Philippe J. Rocques
ACA. Jayne Crew
A. Jayne Crew
SGSandra Gill
Sandra Gill
Janet ShipleyJanet Shipley
Janet Shipley
CCColin S. Cooper
Colin S. Cooper

1 January 2010 in Nature Reviews Cancer
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TSThomas Santarius
Thomas Santarius
Janet ShipleyJanet Shipley
Janet Shipley
Daniel S BrewerDaniel S Brewer
Daniel S Brewer
MSMichael R. Stratton
Michael R. Stratton
CCColin S. Cooper
Colin S. Cooper

1 May 2010 in Journal of Clinical Oncology
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Journal Article
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DWDaniel Williamson
Daniel Williamson
EMEdoardo Missiaglia
Edoardo Missiaglia
KPKathy Pritchard-Jones
Kathy Pritchard-Jones
OOOdile Oberlin
Odile Oberlin
Janet ShipleyJanet Shipley
Janet Shipley
PFPaul Fréneaux
Paul Fréneaux
Purpose: To determine whether the clinical and molecular biologic characteristics of the alveolar rhabdomyosarcoma (ARMS) and embryonal rhabdomyosarcoma (ERMS) subtypes have relevance independent of the presence or absence of the PAX/FOXO1 fusion gene.Patients and Methods: The fusion gene status of 210 histopathologically reviewed, clinically annotated rhabdomyosarcoma samples was determined by reverse transcriptase polymerase chain reaction. Kaplan-Meier analysis was used to assess event-free survival and overall survival in fusion gene–negative ARMS (ARMSn; n = 39), fusion gene–positive ARMS (ARMSp; n = 94), and ERMS (n = 77). A total of 101 RMS samples were also profiled for whole-genome expression, and 128 were profiled for genomic copy number imbalances. Profiling data were analyzed by supervised and unsupervised methods to compare features related to histopathology and fusion gene status. Results were also projected by meta-analysis techniques across three separate publically available data sets.Results: Overall and event-free survival, frequency of metastases, and distribution of site at initial presentation were not significantly different between ARMSn and ERMS. Consistent with this, analysis of gene expression signatures could not reproducibly distinguish ARMSn from ERMS whereas fusion gene–positive cases were distinct. ARMSn and ERMS frequently show whole-chromosome copy number changes, notably gain of chromosome 8 with associated high levels of expression of genes from this chromosome.Conclusion: The clinical behavior and molecular characteristics of alveolar cases without a fusion gene are indistinguishable from embryonal cases and significantly different from fusion-positive alveolar cases. This implies that fusion gene status irrespective of histology is a critical factor in risk stratification of RMS.

10 May 2012 in Journal of Clinical Oncology
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EMEdoardo Missiaglia
Edoardo Missiaglia
DWDan Williamson
Dan Williamson
JCJulia Chisholm
Julia Chisholm
PWPratyaksha Wirapati
Pratyaksha Wirapati
GPGaëlle Pierron
Gaëlle Pierron
Janet ShipleyJanet Shipley
Janet Shipley
Purpose: To improve the risk stratification of patients with rhabdomyosarcoma (RMS) through the use of clinical and molecular biologic data. Patients and Methods: Two independent data sets of gene-expression profiling for 124 and 101 patients with RMS were used to derive prognostic gene signatures by using a meta-analysis. These and a previously published metagene signature were evaluated by using cross validation analyses. A combined clinical and molecular risk-stratification scheme that incorporated the PAX3/FOXO1 fusion gene status was derived from 287 patients with RMS and evaluated. Results: We showed that our prognostic gene-expression signature and the one previously published performed well with reproducible and significant effects. However, their effect was reduced when cross validated or tested in independent data and did not add new prognostic information over the fusion gene status, which is simpler to assay. Among nonmetastatic patients, patients who were PAX3/FOXO1 positive had a significantly poorer outcome compared with both alveolar-negative and PAX7/FOXO1-positive patients. Furthermore, a new clinicomolecular risk score that incorporated fusion gene status (negative and PAX3/FOXO1 and PAX7/FOXO1 positive), Intergroup Rhabdomyosarcoma Study TNM stage, and age showed a significant increase in performance over the current risk-stratification scheme. Conclusion: Gene signatures can improve current stratification of patients with RMS but will require complex assays to be developed and extensive validation before clinical application. A significant majority of their prognostic value was encapsulated by the fusion gene status. A continuous risk score derived from the combination of clinical parameters with the presence or absence of PAX3/FOXO1 represents a robust approach to improving current risk-adapted therapy for RMS.

1 March 2006 in The Lancet
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AHAlan Horwich
Alan Horwich
Janet ShipleyJanet Shipley
Janet Shipley
RHRobert Huddart
Robert Huddart