Literature DB >> 30721110

TBCRC026: Phase II Trial Correlating Standardized Uptake Value With Pathologic Complete Response to Pertuzumab and Trastuzumab in Breast Cancer.

Roisin M Connolly1, Jeffrey P Leal1, Lilja Solnes1, Chiung-Yu Huang1, Ashley Carpenter1, Katy Gaffney1, Vandana Abramson2, Lisa A Carey3, Minetta C Liu4, Mothaffar Rimawi5, Jennifer Specht6, Anna Maria Storniolo7, Vicente Valero8, Christos Vaklavas9, Ian E Krop10, Eric P Winer10, Melissa Camp1, Robert S Miller1, Antonio C Wolff1, Ashley Cimino-Mathews1, Ben H Park1, Richard L Wahl1, Vered Stearns1.   

Abstract

PURPOSE: Predictive biomarkers to identify patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer who may benefit from targeted therapy alone are required. We hypothesized that early measurements of tumor maximum standardized uptake values corrected for lean body mass (SULmax) on [18F]fluorodeoxyglucose positron emission tomography/computed tomography would predict pathologic complete response (pCR) to neoadjuvant pertuzumab and trastuzumab (PT). PATIENTS AND METHODS: Patients with stage II/III, estrogen receptor-negative, HER2-positive breast cancer received four cycles of neoadjuvant PT. [18F]Fluorodeoxyglucose positron emission tomography/computed tomography was performed at baseline and 15 days after PT initiation (C1D15). Eighty evaluable patients were required to test the null hypothesis that the area under the curve of percentage of change in SULmax by C1D15 predicting pCR is less than or equal to 0.65, with a one-sided type I error rate of 10%.
RESULTS: Eighty-eight women were enrolled (83 evaluable), and 85% (75 of 88) completed all four cycles of PT. pCR after PT alone was 34%. Receiver operating characteristic analysis yielded an area under the curve of 0.76 (90% CI, 0.67 to 0.85), which rejected the null hypothesis. Between patients who obtained pCR versus not, a significant difference in median percent reduction in SULmax by C1D15 was observed (63.8% v 33.5%; P < .001), an SULmax reduction greater than or equal to 40% was more prevalent (86% v 46%; P < .001; negative predictive value, 88%; positive predictive value, 49%), and a significant difference in median C1D15 SULmax (1.6 v 3.9; P < .001) and higher proportion of C1D15 SULmax less than or equal to 3 (93% v 38%; P < .001; negative predictive value, 94%; positive predictive value, 55%) were observed.
CONCLUSION: Early changes in SULmax predict response to four cycles of PT in estrogen receptor-negative, HER2-positive breast cancer. Once optimized, this quantitative imaging strategy may facilitate a more tailored approach to therapy in this setting.

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Year:  2019        PMID: 30721110      PMCID: PMC6424139          DOI: 10.1200/JCO.2018.78.7986

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  25 in total

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Journal:  Expert Opin Drug Saf       Date:  2016-04-12       Impact factor: 4.250

5.  Efficacy and safety of neoadjuvant pertuzumab and trastuzumab in women with locally advanced, inflammatory, or early HER2-positive breast cancer (NeoSphere): a randomised multicentre, open-label, phase 2 trial.

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Authors:  U A Nitz; O Gluz; M Christgen; E-M Grischke; D Augustin; S Kuemmel; M Braun; J Potenberg; A Kohls; K Krauss; A Stefek; C Schumacher; H Forstbauer; T Reimer; H Fischer; C Liedtke; R Wuerstlein; J Schumacher; R Kates; H Kreipe; N Harbeck
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Authors:  Antonio C Wolff; M Elizabeth H Hammond; David G Hicks; Mitch Dowsett; Lisa M McShane; Kimberly H Allison; Donald C Allred; John M S Bartlett; Michael Bilous; Patrick Fitzgibbons; Wedad Hanna; Robert B Jenkins; Pamela B Mangu; Soonmyung Paik; Edith A Perez; Michael F Press; Patricia A Spears; Gail H Vance; Giuseppe Viale; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2013-10-07       Impact factor: 44.544

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  12 in total

1.  Reply to E. Hindié et al.

Authors:  Roisin M Connolly; Chiung-Yu Huang; Vered Stearns; Richard L Wahl
Journal:  J Clin Oncol       Date:  2019-06-28       Impact factor: 44.544

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4.  Performance Characteristics of a Dual-Sided Position-Sensitive Sparse-Sensor Detector for Gamma-ray Imaging.

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6.  The QIBA Profile for FDG PET/CT as an Imaging Biomarker Measuring Response to Cancer Therapy.

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Review 7.  Application of Noninvasive Imaging to Combined Immune Checkpoint Inhibitors for Breast Cancer: Facts and Future.

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Journal:  Mol Imaging Biol       Date:  2022-01-31       Impact factor: 3.488

8.  Updated Results of TBCRC026: Phase II Trial Correlating Standardized Uptake Value With Pathological Complete Response to Pertuzumab and Trastuzumab in Breast Cancer.

Authors:  Roisin M Connolly; Jeffrey P Leal; Lilja Solnes; Chiung-Yu Huang; Ashley Carpenter; Katy Gaffney; Vandana Abramson; Lisa A Carey; Minetta C Liu; Mothaffar Rimawi; Jennifer Specht; Anna Maria Storniolo; Vicente Valero; Christos Vaklavas; Ian E Krop; Eric P Winer; Melissa Camp; Robert S Miller; Antonio C Wolff; Ashley Cimino-Mathews; Ben H Park; Richard L Wahl; Vered Stearns
Journal:  J Clin Oncol       Date:  2021-05-17       Impact factor: 50.717

Review 9.  Pertuzumab in the treatment of HER2-positive breast cancer: an evidence-based review of its safety, efficacy, and place in therapy.

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Journal:  Sci Rep       Date:  2020-09-23       Impact factor: 4.379

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