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Featured researches published by Steven Stone.


Molecular and Cellular Biology | 1996

REGULATION OF P16CDKN2 EXPRESSION AND ITS IMPLICATIONS FOR CELL IMMORTALIZATION AND SENESCENCE

Eiji Hara; Rosalind Smith; David Parry; Hidetoshi Tahara; Steven Stone; Gordon Peters

p16CDKN2 specifically binds to and inhibits the cyclin-dependent kinases CDK4 and CDK6, which function as regulators of cell cycle progression in G1 by contributing to the phosphorylation of the retinoblastoma protein (pRB). Human cell lines lacking functional pRB contain high levels of p16 RNA and protein, suggesting a negative feedback loop by which pRB might regulate p16 expression in late G1. By a combination of nuclear run-on assays and promoter analyses in human fibroblasts expressing a temperature-sensitive simian virus 40 T antigen, we show that p16 transcription is affected by the status of pRB and define a region in the p16 promoter that is required for this response. However, the effect is not sufficient to account for the differences in p16 RNA levels between pRB-positive and -negative cells. Moreover, p16 RNA is extremely stable, and the levels do not change appreciably during the cell cycle. Primary human fibroblasts express very low levels of p16, but the RNA and protein accumulate in late-passage, senescent cells. The apparent overexpression of p16 in pRB-negative cell lines is therefore caused by at least two factors: loss of repression by pRB and an increase in the number of population doublings.


Journal of Clinical Oncology | 2009

Analysis of PTEN, BRAF, and EGFR Status in Determining Benefit From Cetuximab Therapy in Wild-Type KRAS Metastatic Colon Cancer

Pierre Laurent-Puig; Anne Cayre; Gilles Manceau; Emmanuel Buc; Jean-Baptiste Bachet; Thierry Lecomte; Philippe Rougier; Astrid Lièvre; Bruno Landi; Valérie Boige; Michel Ducreux; Marc Ychou; Frédéric Bibeau; Olivier Bouché; Julia Reid; Steven Stone; Frédérique Penault-Llorca

PURPOSE The occurrence of KRAS mutation is predictive of nonresponse and shorter survival in patients treated by anti-epidermal growth factor receptor (anti-EGFR) antibody for metastatic colorectal cancer (mCRC), leading the European Medicine Agency to limit its use to patients with wild-type KRAS tumors. However, only half of these patients will benefit from treatment, suggesting the need to identify additional biomarkers for cetuximab-based treatment efficacy. PATIENTS AND METHODS We retrospectively collected tumors from 173 patients with mCRC. All but one patient received a cetuximab-based regimen as second-line or greater therapy. KRAS and BRAF status were assessed by allelic discrimination. EGFR amplification was assessed by chromogenic in situ hybridization and fluorescent in situ hybridization, and the expression of PTEN was assessed by immunochemistry. RESULTS In patients with KRAS wild-type tumors (n = 116), BRAF mutations (n = 5) were weakly associated with lack of response (P = .063) but were strongly associated with shorter progression-free survival (P < .001) and shorter overall survival (OS; P < .001). A high EGFR polysomy or an EGFR amplification was found in 17.7% of the patients and was associated with response (P = .015). PTEN null expression was found in 19.9% of the patients and was associated with shorter OS (P = .013). In multivariate analysis, BRAF mutation and PTEN expression status were associated with OS. CONCLUSION BRAF status, EGFR amplification, and cytoplasmic expression of PTEN were associated with outcome measures in KRAS wild-type patients treated with a cetuximab-based regimen. Subsequent studies in clinical trial cohorts will be required to confirm the clinical utility of these markers.


Lancet Oncology | 2011

Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study

Jack Cuzick; Gregory P. Swanson; Gabrielle Fisher; Arthur R. Brothman; Daniel M. Berney; Julia Reid; David Mesher; Vo Speights; Elzbieta Stankiewicz; Christopher S. Foster; Henrik Møller; Peter T. Scardino; Jorja D Warren; Jimmy Park; Adib Younus; Darl D. Flake; Susanne Wagner; Alexander Gutin; Jerry S. Lanchbury; Steven Stone

BACKGROUND Optimum management of clinically localised prostate cancer presents unique challenges because of the highly variable and often indolent natural history of the disease. To predict disease aggressiveness, clinicians combine clinical variables to create prognostic models, but the models have limited accuracy. We assessed the prognostic value of a predefined cell cycle progression (CCP) score in two cohorts of patients with prostate cancer. METHODS We measured the expression of 31 genes involved in CCP with quantitative RT-PCR on RNA extracted from formalin-fixed paraffin-embedded tumour samples, and created a predefined score and assessed its usefulness in the prediction of disease outcome. The signature was assessed retrospectively in a cohort of patients from the USA who had undergone radical prostatectomy, and in a cohort of randomly selected men with clinically localised prostate cancer diagnosed by use of a transurethral resection of the prostate (TURP) in the UK who were managed conservatively. The primary endpoint was time to biochemical recurrence for the cohort of patients who had radical prostatectomy, and time to death from prostate cancer for the TURP cohort. FINDINGS After prostatectomy, the CCP score was useful for predicting biochemical recurrence in the univariate analysis (hazard ratio for a 1-unit change [doubling] in CCP 1·89; 95% CI 1·54-2·31; p=5·6×10(-9)) and the best multivariate analysis (1·77, 1·40-2·22; p=4·3×10(-6)). In the best predictive model (final multivariate analysis), the CCP score and prostate-specific antigen (PSA) concentration were the most important variables and were more significant than any other clinical variable. In the TURP cohort, the CCP score was the most important variable for prediction of time to death from prostate cancer in both univariate analysis (2·92, 2·38-3·57, p=6·1×10(-22)) and the final multivariate analysis (2·57, 1·93-3·43; p=8·2×10(-11)), and was stronger than all other prognostic factors, although PSA concentration also added useful information. Heterogeneity in the hazard ratio for the CCP score was not noted in any case for any clinical variables. INTERPRETATION The results of this study provide strong evidence that the CCP score is a robust prognostic marker, which, after additional validation, could have an essential role in determining the appropriate treatment for patients with prostate cancer. FUNDING Cancer Research UK, Queen Mary University of London, Orchid Appeal, US National Institutes of Health, and Koch Foundation.


British Journal of Cancer | 2012

Prognostic value of a cell cycle progression signature for prostate cancer death in a conservatively managed needle biopsy cohort

Jack Cuzick; D. Berney; Gabrielle Fisher; David Mesher; Henrik Møller; Julia Reid; M. Perry; Jimmy Park; Adib Younus; Alexander Gutin; Christopher S. Foster; Peter T. Scardino; Jerry S. Lanchbury; Steven Stone

Background:The natural history of prostate cancer is highly variable and it is difficult to predict. We showed previously that a cell cycle progression (CCP) score was a robust predictor of outcome in a conservatively managed cohort diagnosed by transurethral resection of the prostate. A greater need is to predict outcome in patients diagnosed by needle biopsy.Methods:Total RNA was extracted from paraffin specimens. A CCP score was calculated from expression levels of 31 genes. Clinical variables consisted of centrally re-reviewed Gleason score, baseline prostate-specific antigen level, age, clinical stage, and extent of disease. The primary endpoint was death from prostate cancer.Results:In univariate analysis (n=349), the hazard ratio (HR) for death from prostate cancer was 2.02 (95% CI (1.62, 2.53), P<10−9) for a one-unit increase in CCP score. The CCP score was only weakly correlated with standard prognostic factors and in a multivariate analysis, CCP score dominated (HR for one-unit increase=1.65, 95% CI (1.31, 2.09), P=3 × 10−5), with Gleason score (P=5 × 10−4) and prostate-specific antigen (PSA) (P=0.017) providing significant additional contributions.Conclusion:For conservatively managed patients, the CCP score is the strongest independent predictor of cancer death outcome yet described and may prove valuable in managing clinically localised prostate cancer.


American Journal of Pathology | 2010

PTEN, PIK3CA, p-AKT, and p-p70S6K Status: Association with Trastuzumab Response and Survival in Patients with HER2-Positive Metastatic Breast Cancer

Francisco J. Esteva; Hua Guo; Siyuan Zhang; Cesar Santa-Maria; Steven Stone; Jerry S. Lanchbury; Aysegul A. Sahin; Gabriel N. Hortobagyi; Dihua Yu

Phosphatase and tensin homolog (PTEN) is a key modulator of trastuzumab sensitivity in HER2-overexpressing breast cancer. Because PTEN opposes the downstream signaling of phosphoinositide 3-kinase (PI3K), we investigated the role of PTEN and other components of the PI3K pathway in trastuzumab resistance. We analyzed the status of PTEN, p-AKT-Ser473, and p-p70S6K-Thr389 using immunohistochemistry. PIK3CA mutation status was analyzed by direct sequencing. Primary tumor tissue was available from 137 patients with HER2-overexpressing metastatic breast cancer who had received trastuzumab-based chemotherapy. We observed that each of the four biomarkers alone did not significantly correlate with trastuzumab response, whereas PTEN loss alone significantly correlated with shorter survival times (P = 0.023). PI3K pathway activation, defined as PTEN loss and/or PIK3CA mutation, was associated with a poor response to trastuzumab (P = 0.047) and a shorter survival time (P = 0.015). PTEN loss was significantly associated with a poor response to trastuzumab (P = 0.028) and shorter survival time (P = 0.008) in patients who had received first-line trastuzumab and in patients with estrogen receptor- (P = 0.029) and progesterone receptor-negative tumors (P = 0.033). p-AKT-Ser473 and p-p70S6K-Thr389 each had a limited correlation with trastuzumab response. When these markers were combined with PTEN loss, an increased correlation with patient outcome was observed. In conclusion, PI3K pathway activation plays a pivotal role in trastuzumab resistance. Our findings may facilitate the evaluation of tumor response to trastuzumab-based and targeted therapies.


Journal of Clinical Oncology | 2013

Validation of a Cell-Cycle Progression Gene Panel to Improve Risk Stratification in a Contemporary Prostatectomy Cohort

Matthew R. Cooperberg; Jeffry Simko; Janet E. Cowan; Julia Reid; Azita Djalilvand; Satish Bhatnagar; Alexander Gutin; Jerry S. Lanchbury; Gregory P. Swanson; Steven Stone; Peter R. Carroll

PURPOSE We aimed to validate a previously described genetic risk score, denoted the cell-cycle progression (CCP) score, in predicting contemporary radical prostatectomy (RP) outcomes. METHODS RNA was quantified from paraffin-embedded RP specimens. The CCP score was calculated as average expression of 31 CCP genes, normalized to 15 housekeeper genes. Recurrence was defined as two prostate-specific antigen levels ≥ 0.2 ng/mL or any salvage treatment. Associations between CCP score and recurrence were examined, with adjustment for clinical and pathologic variables using Cox proportional hazards regression and partial likelihood ratio tests. The CCP score was assessed for independent prognostic utility beyond a standard postoperative risk assessment (Cancer of the Prostate Risk Assessment post-Surgical [CAPRA-S] score), and a score combining CAPRA-S and CCP was validated. RESULTS Eighty-two (19.9%) of 413 men experienced recurrence. The hazard ratio (HR) for each unit increase in CCP score (range, -1.62 to 2.16) was 2.1 (95% CI, 1.6 to 2.9); with adjustment for CAPRA-S, the HR was 1.7 (95% CI, 1.3 to 2.4). The score was able to substratify patients with low clinical risk as defined by CAPRA-S ≤ 2 (HR, 2.3; 95% CI, 1.4 to 3.7). Combining the CCP and CAPRA-S improved the concordance index for both the overall cohort and low-risk subset; the combined CAPRA-S + CCP score consistently predicted outcomes across the range of clinical risk. This combined score outperformed both individual scores on decision curve analysis. CONCLUSION The CCP score was validated to have significant prognostic accuracy after controlling for all available clinical and pathologic data. The score may improve accuracy of risk stratification for men with clinically localized prostate cancer, including those with low-risk disease.


American Journal of Human Genetics | 2003

Predisposition locus for major depression at chromosome 12q22-12q23.2

Victor Abkevich; Nicola J. Camp; Charles H. Hensel; Chris Neff; Deanna L. Russell; Dana C. Hughes; Agnes M. Plenk; Michael R. Lowry; R. Lynn Richards; Catherine Carter; Georges C. Frech; Steven Stone; Kerry Rowe; Chi Ai Chau; Kathleen Cortado; Angelene Hunt; Karanina Luce; Gayanne O’Neil; Jeff Poarch; Jennifer Potter; Gregg H. Poulsen; Heidi Saxton; Michelle Bernat-Sestak; Victor Thompson; Alexander Gutin; Mark H. Skolnick; Donna Shattuck; Lisa Cannon-Albright

Major depression disorder is a common psychiatric disease with a major economic impact on society. In many cases, no effective treatment is available. The etiology of major depression is complex, but it is clear that the disease is, to a large extent, determined genetically, especially among individuals with a familial history of major depression, presumably through the involvement of multiple predisposition genes in addition to an environmental component. As a first step toward identification of chromosomal loci contributing to genetic predisposition to major depression, we have conducted a genomewide scan by using 628 microsatellite markers on 1,890 individuals from 110 Utah pedigrees with a strong family history of major depression. We identified significant linkage to major depression in males at marker D12S1300 (multipoint heterogeneity LOD score 4.6; P=.00003 after adjustment for multiple testing). With additional markers, the linkage evidence became highly significant, with the multipoint heterogeneity LOD score at marker D12S1706 increasing to 6.1 (P=.0000007 after adjustment for multiple testing). This study confirms the presence of one or more genes involved in psychiatric diseases on the q arm of chromosome 12 and provides strong evidence for the existence of a sex-specific predisposition gene to major depression at 12q22-q23.2.


Obesity | 2007

Meta-analysis of genome-wide linkage studies in BMI and obesity

Catherine L. Saunders; Benedetta D. Chiodini; Pak Sham; Cathryn M. Lewis; Victor Abkevich; Adebowale Adeyemo; Mariza de Andrade; Rector Arya; Gerald S. Berenson; John Blangero; Michael Boehnke; Ingrid B. Borecki; Yvon C. Chagnon; Wei Chen; Anthony G. Comuzzie; Hong-Wen Deng; Ravindranath Duggirala; Mary F. Feitosa; Philippe Froguel; Robert L. Hanson; Johannes Hebebrand; Patricia Huezo-Dias; Ahmed H. Kissebah; Wei-Dong Li; Amy Luke; Lisa J. Martin; M W Nash; Miina Öhman; Lyle J. Palmer; Leena Peltonen

Objective: The objective was to provide an overall assessment of genetic linkage data of BMI and BMI‐defined obesity using a nonparametric genome scan meta‐analysis.


Obesity | 2008

Association of the FTO gene with BMI.

Steven C. Hunt; Steven Stone; Yuanpei Xin; Christina A. Scherer; Charles L. Magness; Shawn P. Iadonato; Paul N. Hopkins; Ted D. Adams

Variants in the FTO gene have been strongly associated with obesity in a very large sample (38,759) of diabetic and control subjects. To replicate these findings, the previously reported SNP in the FTO gene (rs9939609, T/A) was genotyped in 5,607 subjects from five different Utah studies. The studies included a random sample of the Utah population, families selected for aggregation of extreme thinness, families selected for severe obesity, a series of unrelated severe obesity subjects, and families participating in a 25‐year longitudinal study of cardiovascular disease and aging. Results show a strong significant increase in the rs9939609 A allele frequency with increasing BMI (P < 0.0001). In the longitudinal study, FTO genotypes were significantly associated with BMI at a baseline exam, a 2½‐year follow‐up exam and a 25‐year follow‐up exam using an additive genetic model. The mean genotype difference in BMI ranged from 1.3 to 2.1 kg/m2 across exams. The genotype difference in BMI means was established in youth, and at‐risk subjects under age 20 at baseline had a significantly larger 25‐year BMI increase (10.0 for A/A; 9.7 for A/T, and 8.5 kg/m2 for T/T, P = 0.05). We conclude that the BMI increases associated with FTO genotypes begin in youth and are maintained throughout adulthood.


American Journal of Human Genetics | 2002

A major predisposition locus for severe obesity, at 4p15-p14.

Steven Stone; Victor Abkevich; Steven C. Hunt; Alexander Gutin; Deanna L. Russell; Chris Neff; Robyn Riley; Georges C. Frech; Charles H. Hensel; Srikanth Jammulapati; Jennifer Potter; David Sexton; Thanh Tran; Drew Gibbs; Diana Iliev; Richard E. Gress; Brian T. Bloomquist; John Amatruda; M.M. Peter Rae; D. Ted Adams; H. Mark Skolnick; Donna Shattuck

Although the predisposition to morbid obesity is heritable, the identities of the disease-causing genes are largely unknown. Therefore, we have conducted a genomewide search with 628 markers, using multigenerational Utah pedigrees to identify genes involved in predisposition to obesity. In the genomewide search, we identified a highly significant linkage to high body-mass index in female patients, at D4S2632, with a multipoint heterogeneity LOD (HLOD) score of 6.1 and a nonparametric linkage (NPL) score of 5.3. To further delineate the linkage, we increased both the marker density around D4S2632 and the size of our pedigree data set. As a result, the linkage evidence increased to a multipoint HLOD score of 9.2 (at D4S3350) and an NPL score of 11.3. Evidence from almost half of the families in this analysis support this linkage, and therefore the gene in this region might account for a significant percentage of the genetic predisposition to severe obesity in females. However, further studies are necessary to clarify the effect that this gene has in males and in the general population.

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Jack Cuzick

Queen Mary University of London

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Peter T. Scardino

Memorial Sloan Kettering Cancer Center

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