15 results on '"W Fraser Symmans"'
Search Results
2. Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer
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Reid T. Powell, Amanda L. Rinkenbaugh, Lei Guo, Shirong Cai, Jiansu Shao, Xinhui Zhou, Xiaomei Zhang, Sabrina Jeter-Jones, Chunxiao Fu, Yuan Qi, Faiza Baameur Hancock, Jason B. White, Clifford Stephan, Peter J. Davies, Stacy Moulder, W. Fraser Symmans, Jeffrey T. Chang, and Helen Piwnica-Worms
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Triple negative breast cancer (TNBC) accounts for 15–20% of breast cancer cases in the United States. Systemic neoadjuvant chemotherapy (NACT), with or without immunotherapy, is the current standard of care for patients with early-stage TNBC. However, up to 70% of TNBC patients have significant residual disease once NACT is completed, which is associated with a high risk of developing recurrence within two to three years of surgical resection. To identify targetable vulnerabilities in chemoresistant TNBC, we generated longitudinal patient-derived xenograft (PDX) models from TNBC tumors before and after patients received NACT. We then compiled transcriptomes and drug response profiles for all models. Transcriptomic analysis identified the enrichment of aberrant protein homeostasis pathways in models from post-NACT tumors relative to pre-NACT tumors. This observation correlated with increased sensitivity in vitro to inhibitors targeting the proteasome, heat shock proteins, and neddylation pathways. Pevonedistat, a drug annotated as a NEDD8-activating enzyme (NAE) inhibitor, was prioritized for validation in vivo and demonstrated efficacy as a single agent in multiple PDX models of TNBC. Pharmacotranscriptomic analysis identified a pathway-level correlation between pevonedistat activity and post-translational modification (PTM) machinery, particularly involving neddylation and sumoylation targets. Elevated levels of both NEDD8 and SUMO1 were observed in models exhibiting a favorable response to pevonedistat compared to those with a less favorable response in vivo. Moreover, a correlation emerged between the expression of neddylation-regulated pathways and tumor response to pevonedistat, indicating that targeting these PTM pathways may prove effective in combating chemoresistant TNBC.
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- 2024
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3. Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer
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Gloria V. Echeverria, Shirong Cai, Yizheng Tu, Jiansu Shao, Emily Powell, Abena B. Redwood, Yan Jiang, Aaron McCoy, Amanda L. Rinkenbaugh, Rosanna Lau, Alexander J. Trevarton, Chunxiao Fu, Rebekah Gould, Elizabeth E. Ravenberg, Lei Huo, Rosalind Candelaria, Lumarie Santiago, Beatriz E. Adrada, Deanna L. Lane, Gaiane M. Rauch, Wei T. Yang, Jason B. White, Jeffrey T. Chang, Stacy L. Moulder, W. Fraser Symmans, Susan G. Hilsenbeck, and Helen Piwnica-Worms
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Patient-derived xenograft (PDX) models of breast cancer are an effective discovery platform and tool for preclinical pharmacologic testing and biomarker identification. We established orthotopic PDX models of triple negative breast cancer (TNBC) from the primary breast tumors of patients prior to and following neoadjuvant chemotherapy (NACT) while they were enrolled in the ARTEMIS trial (NCT02276443). Serial biopsies were obtained from patients prior to treatment (pre-NACT), from poorly responsive disease after four cycles of Adriamycin and cyclophosphamide (AC, mid-NACT), and in cases of AC-resistance, after a 3-month course of different experimental therapies and/or additional chemotherapy (post-NACT). Our study cohort includes a total of 269 fine needle aspirates (FNAs) from 217 women, generating a total of 62 PDX models (overall success-rate = 23%). Success of PDX engraftment was generally higher from those cancers that proved to be treatment-resistant, whether poorly responsive to AC as determined by ultrasound measurements mid-NACT (p = 0.063), RCB II/III status after NACT (p = 0.046), or metastatic relapse within 2 years of surgery (p = 0.008). TNBC molecular subtype determined from gene expression microarrays of pre-NACT tumors revealed no significant association with PDX engraftment rate (p = 0.877). Finally, we developed a statistical model predictive of PDX engraftment using percent Ki67 positive cells in the patient’s diagnostic biopsy, positive lymph node status at diagnosis, and low volumetric reduction of the patient’s tumor following AC treatment. This novel bank of 62 PDX models of TNBC provides a valuable resource for biomarker discovery and preclinical therapeutic trials aimed at improving neoadjuvant response rates for patients with TNBC.
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- 2023
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4. Safety and efficacy of HSP90 inhibitor ganetespib for neoadjuvant treatment of stage II/III breast cancer
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Julie E. Lang, Andres Forero-Torres, Douglas Yee, Christina Yau, Denise Wolf, John Park, Barbara A. Parker, A. Jo Chien, Anne M. Wallace, Rashmi Murthy, Kathy S. Albain, Erin D. Ellis, Heather Beckwith, Barbara B. Haley, Anthony D. Elias, Judy C. Boughey, Rachel L. Yung, Claudine Isaacs, Amy S. Clark, Hyo S. Han, Rita Nanda, Qamar J. Khan, Kristen K. Edmiston, Erica Stringer-Reasor, Elissa Price, Bonnie Joe, Minetta C. Liu, Lamorna Brown-Swigart, Emanuel F. Petricoin, Julia D. Wulfkuhle, Meredith Buxton, Julia L. Clennell, Ashish Sanil, Scott Berry, Smita M. Asare, Amy Wilson, Gillian L. Hirst, Ruby Singhrao, Adam L. Asare, Jeffrey B. Matthews, Michelle Melisko, Jane Perlmutter, Hope S. Rugo, W. Fraser Symmans, Laura J. van ‘t Veer, Nola M. Hylton, Angela M. DeMichele, Donald A. Berry, and Laura J. Esserman
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract HSP90 inhibitors destabilize oncoproteins associated with cell cycle, angiogenesis, RAS-MAPK activity, histone modification, kinases and growth factors. We evaluated the HSP90-inhibitor ganetespib in combination with standard chemotherapy in patients with high-risk early-stage breast cancer. I-SPY2 is a multicenter, phase II adaptively randomized neoadjuvant (NAC) clinical trial enrolling patients with stage II-III breast cancer with tumors 2.5 cm or larger on the basis of hormone receptors (HR), HER2 and Mammaprint status. Multiple novel investigational agents plus standard chemotherapy are evaluated in parallel for the primary endpoint of pathologic complete response (pCR). Patients with HER2-negative breast cancer were eligible for randomization to ganetespib from October 2014 to October 2015. Of 233 women included in the final analysis, 140 were randomized to the standard NAC control; 93 were randomized to receive 150 mg/m2 ganetespib every 3 weeks with weekly paclitaxel over 12 weeks, followed by AC. Arms were balanced for hormone receptor status (51–52% HR-positive). Ganetespib did not graduate in any of the biomarker signatures studied before reaching maximum enrollment. Final estimated pCR rates were 26% vs. 18% HER2-negative, 38% vs. 22% HR-negative/HER2-negative, and 15% vs. 14% HR-positive/HER2-negative for ganetespib vs control, respectively. The predicted probability of success in phase 3 testing was 47% HER2-negative, 72% HR-negative/HER2-negative, and 19% HR-positive/HER2-negative. Ganetespib added to standard therapy is unlikely to yield substantially higher pCR rates in HER2-negative breast cancer compared to standard NAC, and neither HSP90 pathway nor replicative stress expression markers predicted response. HSP90 inhibitors remain of limited clinical interest in breast cancer, potentially in other clinical settings such as HER2-positive disease or in combination with anti-PD1 neoadjuvant chemotherapy in triple negative breast cancer. Trial registration: www.clinicaltrials.gov/ct2/show/NCT01042379
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- 2022
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5. Matched cohort study of germline BRCA mutation carriers with triple negative breast cancer in brightness
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Otto Metzger-Filho, Katharine Collier, Sarah Asad, Peter J. Ansell, Mark Watson, Junu Bae, Mathew Cherian, Joyce O’Shaughnessy, Michael Untch, Hope S. Rugo, Jens B. Huober, Mehra Golshan, William M. Sikov, Gunter von Minckwitz, Priya Rastogi, Lang Li, Lijun Cheng, David Maag, Norman Wolmark, Carsten Denkert, W. Fraser Symmans, Charles E. Geyer, Sibylle Loibl, and Daniel G. Stover
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract In the BrighTNess trial, carboplatin added to neoadjuvant chemotherapy (NAC) was associated with increased pathologic complete response (pCR) rates in patients with stage II/III triple-negative breast cancer (TNBC). In this matched cohort study, cases with a germline BRCA1/2 mutation (gBRCA; n = 75) were matched 1:2 with non-gBRCA controls (n = 150) by treatment arm, lymph node status, and age to evaluate pCR rates and association of benefit from platinum/PARP inhibitors with validated RNA expression-based immune, proliferation, and genomic instability scores among gBRCA with the addition of carboplatin ± veliparib to NAC. Among the well-matched cohorts, odds of pCR were not higher in gBRCA cancers who received standard NAC with carboplatin (OR 0.24, 95% CI [0.04-1.24], p = 0.09) or with carboplatin/veliparib (OR 0.44, 95% CI [0.10-1.84], p = 0.26) compared to non-gBRCA cancers. Higher PAM50 proliferation, GeparSixto immune, and CIN70 genomic instability scores were each associated with higher pCR rate in the overall cohort, but not specifically in gBRCA cases. In this study, gBRCA carriers did not have higher odds of pCR than non-gBRCA controls when carboplatin ± veliparib was added to NAC, and showed no significant differences in molecular, immune, chromosomal instability, or proliferation gene expression metrics.
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- 2021
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6. Ganitumab and metformin plus standard neoadjuvant therapy in stage 2/3 breast cancer
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Douglas Yee, Claudine Isaacs, Denise M. Wolf, Christina Yau, Paul Haluska, Karthik V. Giridhar, Andres Forero-Torres, A. Jo Chien, Anne M. Wallace, Lajos Pusztai, Kathy S. Albain, Erin D. Ellis, Heather Beckwith, Barbara B. Haley, Anthony D. Elias, Judy C. Boughey, Kathleen Kemmer, Rachel L. Yung, Paula R. Pohlmann, Debu Tripathy, Amy S. Clark, Hyo S. Han, Rita Nanda, Qamar J. Khan, Kristen K. Edmiston, Emanuel F. Petricoin, Erica Stringer-Reasor, Carla I. Falkson, Melanie Majure, Rita A. Mukhtar, Teresa L. Helsten, Stacy L. Moulder, Patricia A. Robinson, Julia D. Wulfkuhle, Lamorna Brown-Swigart, Meredith Buxton, Julia L. Clennell, Melissa Paoloni, Ashish Sanil, Scott Berry, Smita M. Asare, Amy Wilson, Gillian L. Hirst, Ruby Singhrao, Adam L. Asare, Jeffrey B. Matthews, Nola M. Hylton, Angela DeMichele, Michelle Melisko, Jane Perlmutter, Hope S. Rugo, W. Fraser Symmans, Laura J. van‘t Veer, Donald A. Berry, and Laura J. Esserman
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract I-SPY2 is an adaptively randomized phase 2 clinical trial evaluating novel agents in combination with standard-of-care paclitaxel followed by doxorubicin and cyclophosphamide in the neoadjuvant treatment of breast cancer. Ganitumab is a monoclonal antibody designed to bind and inhibit function of the type I insulin-like growth factor receptor (IGF-1R). Ganitumab was tested in combination with metformin and paclitaxel (PGM) followed by AC compared to standard-of-care alone. While pathologic complete response (pCR) rates were numerically higher in the PGM treatment arm for hormone receptor-negative, HER2-negative breast cancer (32% versus 21%), this small increase did not meet I-SPY’s prespecified threshold for graduation. PGM was associated with increased hyperglycemia and elevated hemoglobin A1c (HbA1c), despite the use of metformin in combination with ganitumab. We evaluated several putative predictive biomarkers of ganitumab response (e.g., IGF-1 ligand score, IGF-1R signature, IGFBP5 expression, baseline HbA1c). None were specific predictors of response to PGM, although several signatures were associated with pCR in both arms. Any further development of anti-IGF-1R therapy will require better control of anti-IGF-1R drug-induced hyperglycemia and the development of more predictive biomarkers.
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- 2021
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7. Matched cohort study of germline BRCA mutation carriers with triple negative breast cancer in brightness
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Lijun Cheng, Mathew Cherian, W. Fraser Symmans, Charles E. Geyer, Jens Huober, Sarah Asad, Katharine Collier, Daniel G. Stover, Michael Untch, Mark A. Watson, William M. Sikov, Carsten Denkert, Peter Ansell, Sibylle Loibl, Priya Rastogi, David Maag, Gunter von Minckwitz, Junu Bae, Joyce O'Shaughnessy, Norman Wolmark, Lang Li, Mehra Golshan, Hope S. Rugo, and Otto Metzger-Filho
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Oncology ,medicine.medical_specialty ,Veliparib ,business.industry ,BRCA mutation ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Carboplatin ,Article ,chemistry.chemical_compound ,medicine.anatomical_structure ,Breast cancer ,chemistry ,Internal medicine ,Chromosome instability ,Cohort ,medicine ,Pharmacology (medical) ,Radiology, Nuclear Medicine and imaging ,business ,Lymph node ,RC254-282 ,Triple-negative breast cancer - Abstract
In the BrighTNess trial, carboplatin added to neoadjuvant chemotherapy (NAC) was associated with increased pathologic complete response (pCR) rates in patients with stage II/III triple-negative breast cancer (TNBC). In this matched cohort study, cases with a germline BRCA1/2 mutation (gBRCA; n = 75) were matched 1:2 with non-gBRCA controls (n = 150) by treatment arm, lymph node status, and age to evaluate pCR rates and association of benefit from platinum/PARP inhibitors with validated RNA expression-based immune, proliferation, and genomic instability scores among gBRCA with the addition of carboplatin ± veliparib to NAC. Among the well-matched cohorts, odds of pCR were not higher in gBRCA cancers who received standard NAC with carboplatin (OR 0.24, 95% CI [0.04-1.24], p = 0.09) or with carboplatin/veliparib (OR 0.44, 95% CI [0.10-1.84], p = 0.26) compared to non-gBRCA cancers. Higher PAM50 proliferation, GeparSixto immune, and CIN70 genomic instability scores were each associated with higher pCR rate in the overall cohort, but not specifically in gBRCA cases. In this study, gBRCA carriers did not have higher odds of pCR than non-gBRCA controls when carboplatin ± veliparib was added to NAC, and showed no significant differences in molecular, immune, chromosomal instability, or proliferation gene expression metrics.
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- 2021
8. Ganitumab and metformin plus standard neoadjuvant therapy in stage 2/3 breast cancer
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Paul Haluska, Melanie Catherine Majure, Denise M. Wolf, Rachel L. Yung, Paula R. Pohlmann, Hyo S. Han, Jeffrey B. Matthews, Michelle E. Melisko, A. Jo Chien, Andres Forero-Torres, Kristen K. Edmiston, Adam Asare, Hope S. Rugo, Laura J. van't Veer, Jane Perlmutter, Debu Tripathy, Gillian L. Hirst, Anne M. Wallace, Patricia A. Robinson, Rita A. Mukhtar, Julia L. Clennell, W. Fraser Symmans, Judy C. Boughey, Scott M. Berry, Douglas Yee, Rita Nanda, Claudine Isaacs, Anthony D. Elias, Christina Yau, Julia Wulfkuhle, Nola M. Hylton, Emanuel F. Petricoin, Karthik V. Giridhar, Ashish Sanil, Smita Asare, Barbara Haley, Lajos Pusztai, Heather Beckwith, Laura J. Esserman, Kathleen Kemmer, Erin D. Ellis, Lamorna Brown-Swigart, Meredith Buxton, Stacy L. Moulder, Melissa Paoloni, Teresa Helsten, Donald A. Berry, Carla I. Falkson, Kathy S. Albain, Amy S. Clark, Angela DeMichele, Erica Stringer-Reasor, Qamar J. Khan, Amy Wilson, and Ruby Singhrao
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Oncology ,medicine.medical_specialty ,Cyclophosphamide ,medicine.medical_treatment ,Phases of clinical research ,Article ,chemistry.chemical_compound ,Breast cancer ,Targeted therapies ,Growth factor receptor ,Internal medicine ,Breast Cancer ,medicine ,Pharmacology (medical) ,Radiology, Nuclear Medicine and imaging ,Doxorubicin ,RC254-282 ,Neoadjuvant therapy ,Cancer ,business.industry ,Diabetes ,Evaluation of treatments and therapeutic interventions ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Metformin ,Paclitaxel ,chemistry ,6.1 Pharmaceuticals ,business ,medicine.drug - Abstract
I-SPY2 is an adaptively randomized phase 2 clinical trial evaluating novel agents in combination with standard-of-care paclitaxel followed by doxorubicin and cyclophosphamide in the neoadjuvant treatment of breast cancer. Ganitumab is a monoclonal antibody designed to bind and inhibit function of the type I insulin-like growth factor receptor (IGF-1R). Ganitumab was tested in combination with metformin and paclitaxel (PGM) followed by AC compared to standard-of-care alone. While pathologic complete response (pCR) rates were numerically higher in the PGM treatment arm for hormone receptor-negative, HER2-negative breast cancer (32% versus 21%), this small increase did not meet I-SPY’s prespecified threshold for graduation. PGM was associated with increased hyperglycemia and elevated hemoglobin A1c (HbA1c), despite the use of metformin in combination with ganitumab. We evaluated several putative predictive biomarkers of ganitumab response (e.g., IGF-1 ligand score, IGF-1R signature, IGFBP5 expression, baseline HbA1c). None were specific predictors of response to PGM, although several signatures were associated with pCR in both arms. Any further development of anti-IGF-1R therapy will require better control of anti-IGF-1R drug-induced hyperglycemia and the development of more predictive biomarkers.
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- 2021
- Full Text
- View/download PDF
9. Safety and efficacy of HSP90 inhibitor ganetespib for neoadjuvant treatment of stage II/III breast cancer
- Author
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Julie E. Lang, Andres Forero-Torres, Douglas Yee, Christina Yau, Denise Wolf, John Park, Barbara A. Parker, A. Jo Chien, Anne M. Wallace, Rashmi Murthy, Kathy S. Albain, Erin D. Ellis, Heather Beckwith, Barbara B. Haley, Anthony D. Elias, Judy C. Boughey, Rachel L. Yung, Claudine Isaacs, Amy S. Clark, Hyo S. Han, Rita Nanda, Qamar J. Khan, Kristen K. Edmiston, Erica Stringer-Reasor, Elissa Price, Bonnie Joe, Minetta C. Liu, Lamorna Brown-Swigart, Emanuel F. Petricoin, Julia D. Wulfkuhle, Meredith Buxton, Julia L. Clennell, Ashish Sanil, Scott Berry, Smita M. Asare, Amy Wilson, Gillian L. Hirst, Ruby Singhrao, Adam L. Asare, Jeffrey B. Matthews, Michelle Melisko, Jane Perlmutter, Hope S. Rugo, W. Fraser Symmans, Laura J. van ‘t Veer, Nola M. Hylton, Angela M. DeMichele, Donald A. Berry, and Laura J. Esserman
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Oncology ,Clinical Research ,Prevention ,6.1 Pharmaceuticals ,Clinical Trials and Supportive Activities ,Breast Cancer ,Evaluation of treatments and therapeutic interventions ,Pharmacology (medical) ,Radiology, Nuclear Medicine and imaging ,Cancer - Abstract
HSP90 inhibitors destabilize oncoproteins associated with cell cycle, angiogenesis, RAS-MAPK activity, histone modification, kinases and growth factors. We evaluated the HSP90-inhibitor ganetespib in combination with standard chemotherapy in patients with high-risk early-stage breast cancer. I-SPY2 is a multicenter, phase II adaptively randomized neoadjuvant (NAC) clinical trial enrolling patients with stage II-III breast cancer with tumors 2.5 cm or larger on the basis of hormone receptors (HR), HER2 and Mammaprint status. Multiple novel investigational agents plus standard chemotherapy are evaluated in parallel for the primary endpoint of pathologic complete response (pCR). Patients with HER2-negative breast cancer were eligible for randomization to ganetespib from October 2014 to October 2015. Of 233 women included in the final analysis, 140 were randomized to the standard NAC control; 93 were randomized to receive 150 mg/m2 ganetespib every 3 weeks with weekly paclitaxel over 12 weeks, followed by AC. Arms were balanced for hormone receptor status (51–52% HR-positive). Ganetespib did not graduate in any of the biomarker signatures studied before reaching maximum enrollment. Final estimated pCR rates were 26% vs. 18% HER2-negative, 38% vs. 22% HR-negative/HER2-negative, and 15% vs. 14% HR-positive/HER2-negative for ganetespib vs control, respectively. The predicted probability of success in phase 3 testing was 47% HER2-negative, 72% HR-negative/HER2-negative, and 19% HR-positive/HER2-negative. Ganetespib added to standard therapy is unlikely to yield substantially higher pCR rates in HER2-negative breast cancer compared to standard NAC, and neither HSP90 pathway nor replicative stress expression markers predicted response. HSP90 inhibitors remain of limited clinical interest in breast cancer, potentially in other clinical settings such as HER2-positive disease or in combination with anti-PD1 neoadjuvant chemotherapy in triple negative breast cancer.Trial registration: www.clinicaltrials.gov/ct2/show/NCT01042379
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- 2021
10. SETER/PR: a robust 18-gene predictor for sensitivity to endocrine therapy for metastatic breast cancer
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Ya Zhang, Dilip Giri, Esmeralda Celia Marginean, W. Fraser Symmans, Ioanna Laïos, Rashmi Krishna Murthy, Christos Hatzis, Jennifer K. Litton, Ravi Murthy, Alda L. Tam, Agnes Viale, Eleni Andreopoulou, Danielle N. Kwiatkowski, Rebekah Gould, Tsung-Heng Tsai, Tari A. King, Chunxiao Fu, Vicente Valero, Bruno Valentin Sinn, Yun Gong, Daniel J. Booser, Victor P. Andrade, Roberto Salgado, Rosanna Lau, Rachel M. Layman, and Christos Sotiriou
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Oncology ,medicine.medical_specialty ,lcsh:RC254-282 ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Internal medicine ,Genotype ,medicine ,Pharmacology (medical) ,Radiology, Nuclear Medicine and imaging ,Gene ,030304 developmental biology ,0303 health sciences ,business.industry ,Généralités ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Phenotype ,Metastatic breast cancer ,3. Good health ,Hormone receptor ,030220 oncology & carcinogenesis ,business ,Estrogen receptor alpha ,Hormone - Abstract
There is a clinical need to predict sensitivity of metastatic hormone receptor-positive and HER2-negative (HR+/HER2−) breast cancer to endocrine therapy, and targeted RNA sequencing (RNAseq) offers diagnostic potential to measure both transcriptional activity and functional mutation. We developed the SETER/PR index to measure gene expression microarray probe sets that were correlated with hormone receptors (ESR1 and PGR) and robust to preanalytical and analytical influences. We tested SETER/PR index in biopsies of metastastic HR+/HER2− breast cancer against the treatment outcomes in 140 patients. Then we customized the SETER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand-binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SETER/PR index in metastatic samples predicted longer PFS and OS when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.534, 95% CI 0.299 to 0.955, p = 0.035; OS: HR 0.315, 95% CI 0.157 to 0.631, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1−98% of ESR1 transcripts (all had high SETER/PR index). A signature based on probe sets with good preanalytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SETER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2− breast cancer, especially in the absence of mutated ESR1 transcript., SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2019
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11. Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group
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Laura Comerma, Marie-Christine Mathieu, Joel H. Saltz, Giancarlo Pruneri, Peter Savas, Shom Goel, Stephan Wienert, Paula I. Gonzalez-Ericsson, Lee Cooper, Sunil R. Lakhani, Stefan Michiels, Pawan Kirtani, Sarah N Dudgeon, Francesco Ciompi, Uday Kurkure, Manu M. Sebastian, Giuseppe Viale, Brandon D. Gallas, Mohamed Amgad, John M. S. Bartlett, Jan Hudecek, Torsten O. Nielsen, Elisabeth Specht Stovgaard, Huang-Chun Lien, Alexander J. Lazar, Johan Hartman, Yinyin Yuan, Rim S. Kim, Jeppe Thagaard, Ashish Sharma, Sylvia Adams, Matthew G. Hanna, Stephen M. Hewitt, Weijie Chen, David L. Rimm, Khalid AbdulJabbar, Sibylle Loibl, Jochen K. Lennerz, I-Chun Chen, Zsuzsanna Bago-Horvath, Mehrnoush Khojasteh, Frédérique Penault-Llorca, Katherine L. Pogue-Geile, Federico Rojo, Marcelo Luiz Balancin, David Moore, Stuart J. Schnitt, Roberto Salgado, Loes F. S. Kooreman, Sherene Loi, Jeremy P Braybrooke, Eva Balslev, Leonie Voorwerk, Sunil S. Badve, Elvire Roblin, Jennifer K. Kerner, Marleen Kok, Andrew H. Beck, Michael Barnes, Jeroen van der Laak, Carsten Denkert, W. Fraser Symmans, Zuzana Kos, Rajendra Singh, Anant Madabhushi, Christos Sotiriou, Sandra Demaria, Hugo M. Horlings, Department of Pathology, Herlev and Gentofte Hospital, The University of Sydney, Charité, Institute of Pathology, Translational Tumorpathology Unit, Division of Experimental Therapy, The Netherlands Cancer Institute NKI/AvL, Innovation North - Faculty of Information and Technology, Leeds Metropolitan University, Pathologie morphologique, Département de biologie et pathologie médicales [Gustave Roussy], Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR), European Institute of Oncology [Milan] (ESMO), University of Southern Queensland (USQ), Instituto de Física Teórica UAM/CSIC (IFT), Universidad Autónoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Institut Jules Bordet [Bruxelles], Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Division of Pathology and Laboratory Medicine, Università degli Studi di Milano = University of Milan (UNIMI)-European Institute of Oncology [Milan] (ESMO), University of the Sunshine Coast (USC), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), German Breast Group (GBG), Breast Cancer Translational Research Laboratory, Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Service de biostatistique et d'épidémiologie (SBE), Direction de la recherche clinique [Gustave Roussy], Institut Gustave Roussy (IGR), Oncostat (U1018 (Équipe 2)), Institut Gustave Roussy (IGR)-Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, The Netherlands Cancer Institute, The University of Texas M.D. Anderson Cancer Center [Houston], Medizinische Universität Wien = Medical University of Vienna, Computational Biomedicine Lab (CBL), University of Houston, UCL - SSS/IREC/SLUC - Pôle St.-Luc, UCL - (SLuc) Service d'anatomie pathologique, Universidad Autonoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Università degli Studi di Milano [Milano] (UNIMI)-European Institute of Oncology [Milan] (ESMO), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Santé et de la Recherche Médicale (INSERM), German Breast Group, Medical University of Vienna, Department of Pathology, Amgad, Mohamed [0000-0001-7599-6162], Sharma, Ashish [0000-0002-1011-6504], Savas, Peter [0000-0001-5999-428X], Hudeček, Jan [0000-0003-1071-5686], Braybrooke, Jeremy P [0000-0003-1943-7360], Demaria, Sandra [0000-0003-4426-0499], Comerma, Laura [0000-0002-0249-4636], Badve, Sunil S [0000-0001-8861-9980], Symmans, W Fraser [0000-0002-1526-184X], Gonzalez-Ericsson, Paula [0000-0002-6292-6963], Rimm, David L [0000-0001-5820-4397], Loi, Sherene [0000-0001-6137-9171], Hanna, Matthew G [0000-0002-7536-1746], Lazar, Alexander J [0000-0002-6395-4499], Bago-Horvath, Zsuzsanna [0000-0002-8555-7806], van der Laak, Jeroen AWM [0000-0001-7982-0754], Gallas, Brandon D [0000-0001-7332-1620], Kurkure, Uday [0000-0002-8273-7334], Cooper, Lee AD [0000-0002-3504-4965], and Apollo - University of Cambridge Repository
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0301 basic medicine ,Computer science ,[SDV]Life Sciences [q-bio] ,Review Article ,DIGITAL PATHOLOGY ,Tumour biomarkers ,Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14] ,Prognostic markers ,0302 clinical medicine ,Breast cancer ,Ecology,Evolution & Ethology ,Visual scoring ,Medicine and Health Sciences ,Pharmacology (medical) ,Chemical Biology & High Throughput ,Human Biology & Physiology ,IN-SITU ,Medicinsk bildbehandling ,Genome Integrity & Repair ,Sciences bio-médicales et agricoles ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,SOLID TUMORS ,3. Good health ,Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] ,Oncology ,030220 oncology & carcinogenesis ,Tumour immunology ,TILS ,Tumor immunology ,Genetics & Genomics ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Cancer imaging ,lcsh:RC254-282 ,CLASSIFICATION ,03 medical and health sciences ,Signalling & Oncogenes ,STANDARDIZED METHOD ,QUALITY-CONTROL ,SDG 3 - Good Health and Well-being ,BREAST-CANCER ,Radiology, Nuclear Medicine and imaging ,IMAGE-ANALYSIS ,Computational & Systems Biology ,Tumor-infiltrating lymphocytes ,Digital pathology ,Médecine pathologie humaine ,Tumour Biology ,Data science ,Biomarker (cell) ,Cancérologie ,Medical Image Processing ,030104 developmental biology ,Workflow ,T-CELLS - Abstract
Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring., info:eu-repo/semantics/published
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- 2020
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12. SET
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Bruno V, Sinn, Chunxiao, Fu, Rosanna, Lau, Jennifer, Litton, Tsung-Heng, Tsai, Rashmi, Murthy, Alda, Tam, Eleni, Andreopoulou, Yun, Gong, Ravi, Murthy, Rebekah, Gould, Ya, Zhang, Tari A, King, Agnes, Viale, Victor, Andrade, Dilip, Giri, Roberto, Salgado, Ioanna, Laios, Christos, Sotiriou, Esmeralda C, Marginean, Danielle N, Kwiatkowski, Rachel M, Layman, Daniel, Booser, Christos, Hatzis, V, Vicente Valero, and W, Fraser Symmans
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Breast cancer ,Predictive markers ,Article - Abstract
There is a clinical need to predict sensitivity of metastatic hormone receptor-positive and HER2-negative (HR+/HER2−) breast cancer to endocrine therapy, and targeted RNA sequencing (RNAseq) offers diagnostic potential to measure both transcriptional activity and functional mutation. We developed the SETER/PR index to measure gene expression microarray probe sets that were correlated with hormone receptors (ESR1 and PGR) and robust to preanalytical and analytical influences. We tested SETER/PR index in biopsies of metastastic HR+/HER2− breast cancer against the treatment outcomes in 140 patients. Then we customized the SETER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand-binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SETER/PR index in metastatic samples predicted longer PFS and OS when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.534, 95% CI 0.299 to 0.955, p = 0.035; OS: HR 0.315, 95% CI 0.157 to 0.631, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1−98% of ESR1 transcripts (all had high SETER/PR index). A signature based on probe sets with good preanalytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SETER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2− breast cancer, especially in the absence of mutated ESR1 transcript.
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- 2019
13. Ganitumab and metformin plus standard neoadjuvant therapy in stage 2/3 breast cancer.
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Yee D, Isaacs C, Wolf DM, Yau C, Haluska P, Giridhar KV, Forero-Torres A, Jo Chien A, Wallace AM, Pusztai L, Albain KS, Ellis ED, Beckwith H, Haley BB, Elias AD, Boughey JC, Kemmer K, Yung RL, Pohlmann PR, Tripathy D, Clark AS, Han HS, Nanda R, Khan QJ, Edmiston KK, Petricoin EF, Stringer-Reasor E, Falkson CI, Majure M, Mukhtar RA, Helsten TL, Moulder SL, Robinson PA, Wulfkuhle JD, Brown-Swigart L, Buxton M, Clennell JL, Paoloni M, Sanil A, Berry S, Asare SM, Wilson A, Hirst GL, Singhrao R, Asare AL, Matthews JB, Hylton NM, DeMichele A, Melisko M, Perlmutter J, Rugo HS, Fraser Symmans W, Van't Veer LJ, Berry DA, and Esserman LJ
- Abstract
I-SPY2 is an adaptively randomized phase 2 clinical trial evaluating novel agents in combination with standard-of-care paclitaxel followed by doxorubicin and cyclophosphamide in the neoadjuvant treatment of breast cancer. Ganitumab is a monoclonal antibody designed to bind and inhibit function of the type I insulin-like growth factor receptor (IGF-1R). Ganitumab was tested in combination with metformin and paclitaxel (PGM) followed by AC compared to standard-of-care alone. While pathologic complete response (pCR) rates were numerically higher in the PGM treatment arm for hormone receptor-negative, HER2-negative breast cancer (32% versus 21%), this small increase did not meet I-SPY's prespecified threshold for graduation. PGM was associated with increased hyperglycemia and elevated hemoglobin A1c (HbA1c), despite the use of metformin in combination with ganitumab. We evaluated several putative predictive biomarkers of ganitumab response (e.g., IGF-1 ligand score, IGF-1R signature, IGFBP5 expression, baseline HbA1c). None were specific predictors of response to PGM, although several signatures were associated with pCR in both arms. Any further development of anti-IGF-1R therapy will require better control of anti-IGF-1R drug-induced hyperglycemia and the development of more predictive biomarkers., (© 2021. The Author(s).)
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- 2021
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14. SET ER/PR : a robust 18-gene predictor for sensitivity to endocrine therapy for metastatic breast cancer.
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Sinn BV, Fu C, Lau R, Litton J, Tsai TH, Murthy R, Tam A, Andreopoulou E, Gong Y, Murthy R, Gould R, Zhang Y, King TA, Viale A, Andrade V, Giri D, Salgado R, Laios I, Sotiriou C, Marginean EC, Kwiatkowski DN, Layman RM, Booser D, Hatzis C, Vicente Valero V, and Fraser Symmans W
- Abstract
There is a clinical need to predict sensitivity of metastatic hormone receptor-positive and HER2-negative (HR+/HER2-) breast cancer to endocrine therapy, and targeted RNA sequencing (RNAseq) offers diagnostic potential to measure both transcriptional activity and functional mutation. We developed the SET
ER/PR index to measure gene expression microarray probe sets that were correlated with hormone receptors ( ESR1 and PGR ) and robust to preanalytical and analytical influences. We tested SETER/PR index in biopsies of metastastic HR+/HER2- breast cancer against the treatment outcomes in 140 patients. Then we customized the SETER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand-binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SETER/PR index in metastatic samples predicted longer PFS and OS when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.534, 95% CI 0.299 to 0.955, p = 0.035; OS: HR 0.315, 95% CI 0.157 to 0.631, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1-98% of ESR1 transcripts (all had high SETER/PR index). A signature based on probe sets with good preanalytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SETER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2- breast cancer, especially in the absence of mutated ESR1 transcript., Competing Interests: Competing interestsW.F.S., B.V.S., C.H., C.F. and R.L. are co-inventors on patent WO2017189976A1 “Targeted measure of transcriptional activity related to hormone receptors”. W.F.S., C.F. and R.L. own shares of Delphi Diagnostics, without employment or administrative position. W.F.S. owns shares of IONIS Pharmaceuticals and has received honoraria from Merck and from Almac Diagnostics during the past 12 months. J.L. received grants or research support from Pfizer, Astra Zeneca, Genentech, EMD-Serono and GSK, is member of the speaker’s bureau at Medlearning group and PER and advisory committee member (uncompensated) at Pfizer and Astra-Zeneca. A.T. received research grants from Guerbet LCC and consulted Merit Medical, Jounce Therapeutics, AbbVie. R.S. participated in an advisory board at BMS, received travel grants and research support from Merck, Roche. T.A.K. served as speaker for Genomic Health. C.H. is currently an employee of Bristol-Myers Squibb. The other authors declare no competing interests.- Published
- 2019
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15. Surgical Standards for Management of the Axilla in Breast Cancer Clinical Trials with Pathological Complete Response Endpoint.
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Boughey JC, Alvarado MD, Lancaster RB, Fraser Symmans W, Mukhtar R, Wong JM, Ewing CA, Potter DA, Tuttle TM, Hieken TJ, Carter JM, Jakub JW, Kaplan HG, Buchanan CL, Jaskowiak NT, Sattar HA, Mueller J, Nanda R, Isaacs CJ, Pohlmann PR, Lynce F, Tousimis EA, Zeck JC, Lee MC, Lang JE, Mhawech-Fauceglia P, Rao R, Taback B, Chen M, Kalinsky KM, Hibshoosh H, Killelea B, Sanft T, Hirst GL, Asare S, Matthews JB, Perlmutter J, and Esserman LJ
- Abstract
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., Competing Interests: The authors declare no competing interests.
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- 2018
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