Optimal (18F)FDG PET/CT cutoff for pathologic complete response in HER2-positive early breast cancer patients treated with neoadjuvant trastuzumab and pertuzumab in the PHERgain trial
The PHERGain trial investigated the potential of metabolic imaging to identify candidates for chemotherapy deescalation in human epidermal growth factor receptor 2 (HER2)-positive, invasive, operable breast cancer with at least 1 breast lesion evaluable by [18F]FDG PET/CT. [18F]FDG PET/CT responders...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
May 1, 2024
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| In: |
Journal of nuclear medicine
Year: 2024, Volume: 65, Issue: 5, Pages: 708-713 |
| ISSN: | 2159-662X |
| DOI: | 10.2967/jnumed.123.266384 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.2967/jnumed.123.266384 Verlag, lizenzpflichtig, Volltext: https://jnm-snmjournals-org.ezproxy.medma.uni-heidelberg.de/content/65/5/708 
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| Author Notes: | Geraldine Gebhart, Marleen Keyaerts, Thomas Guiot, Patrick Flamen, Manuel Ruiz-Borrego, Agostina Stradella, Begoña Bermejo, Santiago Escriva-de-Romani, Lourdes Calvo Martínez, Nuria Ribelles, María Fernandez-Abad, Cinta Albacar, Marco Colleoni, Laia Garrigos, Manuel Atienza de Frutos, Florence Dalenc, Aleix Prat, Frederik Marmé, Peter Schmid, Khaldoun Kerrou, Sofia Braga, Petra Gener, Miguel Sampayo-Cordero, Javier Cortés, José Manuel Pérez-García, and Antonio Llombart-Cussac |
MARC
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| 100 | 1 | |a Gebhart, Geraldine |e VerfasserIn |0 (DE-588)1357923058 |0 (DE-627)1918706360 |4 aut | |
| 245 | 1 | 0 | |a Optimal (18F)FDG PET/CT cutoff for pathologic complete response in HER2-positive early breast cancer patients treated with neoadjuvant trastuzumab and pertuzumab in the PHERgain trial |c Geraldine Gebhart, Marleen Keyaerts, Thomas Guiot, Patrick Flamen, Manuel Ruiz-Borrego, Agostina Stradella, Begoña Bermejo, Santiago Escriva-de-Romani, Lourdes Calvo Martínez, Nuria Ribelles, María Fernandez-Abad, Cinta Albacar, Marco Colleoni, Laia Garrigos, Manuel Atienza de Frutos, Florence Dalenc, Aleix Prat, Frederik Marmé, Peter Schmid, Khaldoun Kerrou, Sofia Braga, Petra Gener, Miguel Sampayo-Cordero, Javier Cortés, José Manuel Pérez-García, and Antonio Llombart-Cussac |
| 246 | 3 | 3 | |a Optimal (18 F)FDG PET/CT cutoff for pathologic complete response in HER2-positive early breast cancer patients treated with neoadjuvant trastuzumab and pertuzumab in the PHERgain trial |
| 264 | 1 | |c May 1, 2024 | |
| 300 | |b Illustrationen | ||
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| 336 | |a Text |b txt |2 rdacontent | ||
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| 500 | |a Im Titel steht 18F in eckiger Klammer, dabei ist 18 hochgestellt | ||
| 500 | |a Online veröffentlicht: 4. April 2024 | ||
| 500 | |a Gesehen am 27.02.2025 | ||
| 520 | |a The PHERGain trial investigated the potential of metabolic imaging to identify candidates for chemotherapy deescalation in human epidermal growth factor receptor 2 (HER2)-positive, invasive, operable breast cancer with at least 1 breast lesion evaluable by [18F]FDG PET/CT. [18F]FDG PET/CT responders were defined as patients with an SUVmax reduction (ΔSUVmax) of at least 40% in all of their target lesions after 2 cycles of trastuzumab and pertuzumab (HP) (with or without endocrine therapy). In total, 227 of 285 patients (80%) included in the HP arm showed a predefined metabolic response and received a total of 8 cycles of HP (with or without endocrine therapy). Pathologic complete response (pCR), defined as ypT0/isN0, was achieved in 37.9% of the patients. Here, we describe the secondary preplanned analysis of the best cutoff of ΔSUVmax for pCR prediction. Methods: Receiver-operating-characteristic analysis was applied to look for the most appropriate ΔSUVmax cutoff in HER2-positive early breast cancer patients treated exclusively with neoadjuvant HP (with or without endocrine therapy). Results: The ΔSUVmax capability of predicting pCR in terms of the area under the receiver-operating-characteristic curve was 72.1% (95% CI, 65.1-79.2%). The optimal ΔSUVmax cutoff was found to be 77.0%, with a 51.2% sensitivity and a 78.7% specificity. With this cutoff, 74 of 285 patients (26%) would be classified as metabolic responders, increasing the pCR rate from 37.9% (cutoff ≥ 40%) to 59.5% (44/74 patients) (P < 0.01). With this optimized cutoff, 44 of 285 patients (15.4%) would avoid chemotherapy in either the neoadjuvant or the adjuvant setting compared with 86 of 285 patients (30.2%) using the original cutoff (P < 0.001). Conclusion: In the PHERGain trial, an increased SUVmax cutoff (≥77%) after 2 cycles of exclusive HP (with or without endocrine therapy) achieves a pCR in the range of the control arm with chemotherapy plus HP (59.5% vs. 57.7%, respectively), further identifying a subgroup of patients with HER2-addicted tumors. However, the original cutoff (≥40%) maximizes the number of patients who could avoid chemotherapy. | ||
| 650 | 4 | |a chemotherapy deescalation | |
| 650 | 4 | |a HER2+ early breast cancer | |
| 650 | 4 | |a PHERGain trial | |
| 650 | 4 | |a SUVmax cutoff | |
| 700 | 1 | |a Keyaerts, Marleen |e VerfasserIn |4 aut | |
| 700 | 1 | |a Guiot, Thomas |e VerfasserIn |4 aut | |
| 700 | 1 | |a Flamen, Patrick |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ruiz-Borrego, Manuel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Stradella, Agostina |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bermejo, Begoña |e VerfasserIn |4 aut | |
| 700 | 1 | |a Escriva-de-Romani, Santiago |e VerfasserIn |4 aut | |
| 700 | 1 | |a Martínez, Lourdes Calvo |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ribelles, Nuria |e VerfasserIn |4 aut | |
| 700 | 1 | |a Fernandez-Abad, María |e VerfasserIn |4 aut | |
| 700 | 1 | |a Albacar, Cinta |e VerfasserIn |4 aut | |
| 700 | 1 | |a Colleoni, Marco |e VerfasserIn |4 aut | |
| 700 | 1 | |a Garrigos, Laia |e VerfasserIn |4 aut | |
| 700 | 1 | |a Frutos, Manuel Atienza de |e VerfasserIn |4 aut | |
| 700 | 1 | |a Dalenc, Florence |e VerfasserIn |4 aut | |
| 700 | 1 | |a Prat, Aleix |e VerfasserIn |4 aut | |
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| 700 | 1 | |a Schmid, Peter |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kerrou, Khaldoun |e VerfasserIn |4 aut | |
| 700 | 1 | |a Braga, Sofia |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gener, Petra |e VerfasserIn |4 aut | |
| 700 | 1 | |a Sampayo-Cordero, Miguel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Cortés, Javier |e VerfasserIn |4 aut | |
| 700 | 1 | |a Pérez-García, José Manuel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Llombart-Cussac, Antonio |e VerfasserIn |4 aut | |
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