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Enregistrement W4322771976 · doi:10.1158/1538-7445.sabcs22-her2-17

Abstract HER2-17: HER2-17 Novel Quantitative HER2 Assay for Determining Dynamic HER2 Expression in the HER2 IHC 0 “Ultra-Low” Setting: Implications for Precision Therapy in HER2- Breast Cancer

2023· article· en· W4322771976 sur OpenAlex
Emanuel F. Petricoin, Brian A. Corgiat, Joyce O’Shaughnessy, Patricia LoRusso, Kris Weinberg, Justin Davis, Chelsea Gawryletz

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Notice bibliographique

RevueCancer Research · 2023
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAdvanced Biosensing Techniques and Applications
Établissements canadiensCancer Care Ontario
Organismes subventionnairesnon disponible
Mots-clésImmunohistochemistryMedicineBreast cancerTrastuzumabCancerOncologyInternal medicineHER2/neuMetastatic breast cancerCancer research

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The HER2 antibody drug conjugate (ADC) fam-trastuzumab deruxtecan-nxki (T-DXd) significantly improves outcomes over standard chemotherapy in pts with HER2-LOW (IHC 1+ and IHC 2+ FISH-) metastatic breast cancer (MBC). Data from the DAISY (NCT04132960) trial in pts with HER2 IHC 0 or “ultra low” MBC revealed median progression-free survival (PFS) of 4.2 mos vs 6.7 mos in HER2-LOW and 11.1 mos in HER2 3+ pts (Diéras V, et al. Cancer Res. 2022;82(4_Suppl):PD8-02). There is an urgent need to develop methods to accurately discern HER2 LOW expression versus HER2 IHC 0/ultra-low expression so appropriate pts may receive T-DXd. We have developed a quantitative HER2 assay using reverse phase protein array (RPPA) technology with laser capture microdissection (LCM) enrichment of tumor epithelium that measures HER2 expression over a 65-fold dynamic range in HER2 IHC 0 to 3+ breast cancers. In I-SPY 1 and 2 trials we found that RPPA-assessed quantitative HER2 and activated/phosphorylated HER2 expression predicted for pathologic complete response in pts with HER2 IHC 0, HER2-LOW and HER2 3+ disease with various HER2 and other targeted agents. We then developed and validated the first CLIA/CAP-accredited quantitative HER2 protein expression and activation assay, and now explore quantitative HER2 expression in HER2 IHC 0/ultra low disease. Given the recent approval of sacituzumab govitecan-hziy in TNBC and the results of the TROPiCS-02 (NCT03901339), we also evaluated quantitative RPPA-based TROP-2 expression levels in HER2 IHC 0 breast cancer. Methods: LCM-enriched tumor epithelium was obtained from freshly cut FFPE core needle and resected breast cancer samples from 175 pts with pathology-determined HER2 IHC 0 status (N=68 ER+ and N=107 ER-). Quantitative HER2 output is generated as a relative intensity unit (RU) that is interpolated to an internal calibrator curve and a population referent comprised of known HER2+ (IHC 3+ and 2+/FISH+), HER2-LOW and HER2 IHC 0/ultra-low tumors to generate population-based cut-points as a referent. RPPA-based quantitative HER2 expression are reported as one of four levels of expression across the HER2 dynamic range observed: “non/extremely low”, “modest“, “moderate”, and “high”. Quantitative TROP2 protein expression levels were also measured for each case by the RPPA assay on the same lysate using the same adjectival determinants of relative expression as HER2. Results: For the HER2 IHC 0 ER+ cohort, we observed HER2 protein expression over a 25-fold dynamic range and that 57% (N=39) had HER2 non/extremely low, 37% (N=25) modest, and 4 (6%) moderate/high HER2 expression by RPPA. For the HER2 IHC 0 ER- cohort, we observed HER2 protein expression over a 15-fold dynamic range and that 71% (N=76) had non/extremely low, and 31% (N=29%) modest HER2 expression. We observed TROP-2 protein expression over a 35-fold dynamic range across all tumors measured, and it was found to be at least modestly expressed in 95% (37/39) ER+ and 95% (72/76) ER- of the IHC 0/ultra-low tumors that were also found to be HER2 non/extremely low by RPPA. Conclusions: LCM-RPPA quantitative assessment of HER2 expression showed that nearly 40% of ER+ IHC 0 and 30% of ER- IHC 0 “ultra-low” breast cancers actually had modest to moderate HER2 expression. Interestingly, this frequency approximates the response rate of 30% seen with T-DXd in HER2 IHC 0 pts in the DAISY trial. Quantitatively measured TROP2 is at least modestly expressed in the vast majority of RPPA-assessed HER2 IHC 0 cancers regardless of ER status, making a TROP2-directed ADC an attractive therapeutic option for these pts. If validated in larger studies, LCM-RPPA-based HER2 expression could provide a better understanding of the potential for therapeutic efficacy with T-DXd in patients with HER2 IHC “ultra-low” disease, and may better define true ultra-low HER2 expression in HER2 IHC 0 tumor biopsies at baseline and refine the lower limit of the HER2-LOW designation. Citation Format: Emanuel F. Petricoin, Brian A. Corgiat, Joyce O’Shaughnessy, Patricia LoRusso, Kris Weinberg, Justin Davis, Chelsea Gawryletz. HER2-17 Novel Quantitative HER2 Assay for Determining Dynamic HER2 Expression in the HER2 IHC 0 “Ultra-Low” Setting: Implications for Precision Therapy in HER2- Breast Cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr HER2-17.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,289
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,089
Tête enseignante GPT0,477
Écart entre enseignants0,388 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle