MétaCan
Menu
Retour à la cohorte
Enregistrement W2469000447 · doi:10.1093/jnci/djw111

RE: RNA Disruption Assay as a Biomarker of Pathological Complete Response in Neoadjuvant Trastuzumab-Treated Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer

2016· letter· en· W2469000447 sur OpenAlexaff
Sinéad Toomey, Alex J. Eustace, Laura B. Pritzker, Ken P. H. Pritzker, Joanna Fay, Anthony O’Grady, Robert Cummins, Liam Grogan, John F. Kennedy, Darran P. O’Connor, Leonie S. Young, Elaine W. Kay, Norma O’Donovan, William M. Gallagher, Roshni Kalachand, John Crown, Bryan T. Hennessy

Notice bibliographique

RevueJNCI Journal of the National Cancer Institute · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueHER2/EGFR in Cancer Research
Établissements canadiensUniversity of Toronto
Organismes subventionnairesScience Foundation IrelandIrish Cancer SocietyHealth Research BoardGlaxoSmithKline
Mots-clésTrastuzumabHuman Epidermal Growth Factor Receptor 2Breast cancerOncologyBiomarkerEpidermal growth factor receptorMedicinePathologicalCancer researchInternal medicineCancerNeoadjuvant therapyBiology

Résumé

récupéré en direct d'OpenAlex

*Authors contributed equally to this work. *Authors contributed equally to this work. In Pritzker et al. (1), RNA disruption assay (RDA) was found to be a novel, early, on-treatment assay that has potential for clinical utility in response-guided primary systemic breast cancer (BC) therapy. This assay quantifies early chemotherapy-induced RNA disruption in breast tumors and has shown clinical utility by predicting pathological complete response (pCR) rates in the neoadjuvant treatment of BC patients (1–4). High RDA scores above 7 are associated with a higher chance of pCR than lower RDA scores. RDA has not yet been validated specifically in an independent cohort of human epidermal growth factor receptor 2 (HER2)–positive BC. TCHL (NCT01485926) was a phase II neo-adjuvant study assessing TCH (docetaxel, carboplatin, and trastuzumab) and TCHL (TCH and lapatinib) in early-stage HER2-positive BC (5). The study’s primary endpoint was to compare rates of pCR between the TCH and TCHL arms. Of the 78 patients enrolled, 23 had a core biopsy taken by an interventional radiologist, 20 days post-cycle 1 of either TCH/TCHL therapy. These samples potentially offer a unique insight into the molecular and pathological changes that tumors undergo during the patients’ initial treatment and how they relate to the final pCR status of patients. Pathological review of these samples (Figure 1, A and B) indicates that in 10 patients who later achieved a pCR at surgery, five had no tumor present in their on-treatment tumor biopsy sample and the average tumor content in those patients who achieved pCR was 10% ± 15%. In patients who either had a partial response or no response (n = 13 evaluable patient samples), the average tumor content in the on-treatment biopsy sample was 60% ± 23%, which was higher than that observed in the pCR samples (P = .000001). This interesting finding highlights the immediate impact that trastuzumab has on tumor content in HER2-positive BC patients. Biopsy cores taken 20 days after the initiation of neoadjuvant therapy by a radiologist were embedded in optical coherence tomography and the samples were cryo-sectioned. A single 3 µM section was taken for haematoxylin and eosin (H&E) staining and analysis and the adjacent ten 10 µm sections were cut and stored in a chilled cryovial. Following this, a second 3 µM section was then cut for H&E staining. Cut sections were stored at -80°C. We also performed RNA extractions on the cut sections using the QIAGEN RNAEasy kit, and quantified them on the Bioanalyser using the Agilent RNA 6000 Nano kit. RNA quantification files were then sent to RNA diagnostics for analysis using RNA disruption assay (RDA) as previously described. A and B) Pathological analysis of the H&E stained sections was conducted to assign a percentage tumor and a percentage stroma score to each sample. C) Correlation of RDA scores and pCR in 17 patient samples. P values were calculated using the Student's t test with a value of less than .05 being considered statistically significant. NR = no response; pCR = pathological complete response; PR = partial response. In this cohort, RDA scores of greater than 7 in the on-treatment biopsy sample indicated a higher chance of pCR in response to TCH or TCHL chemotherapy (6 of 7 patients with an RDA >7 subsequently achieved a pCR vs 1 of 10 patients with a score <7). Figure 1C indicates that those patients who had a pCR (n = 10) had an average RDA score of 10.2 ± 5.1, which was higher than in those patients who had a partial or no response at subsequent surgery (n = 10; RDA score of 5.4 ± 2.2, P = .025). Our results support the work of Pritzker et al. (1) and demonstrate the benefit of obtaining core tumor biopsies after cycle 1 of neoadjuvant treatment in HER2-positive BC patients for further study of the clinical utility of RDA. Pathological analysis of these samples will demonstrate the effect of treatment, and the use of RDA score may allow for easy and robust stratification of patients into two groups with and without a high likelihood of pCR at subsequent surgery. The RDA score may be a useful early prognostic and predictive biomarker of the likelihood of later pCR, with the potential to guide subsequent neoadjuvant treatment in an attempt to optimize pCR rates. The trial sponsor was Ireland Clinical Oncology Research Group, which received funding from GlaxoSmithKline. This work was also supported by the Irish Cancer Society Collaborative Cancer Research Centre, BREAST-PREDICT Grant, CCRC13GAL (http://www.breastpredict.com), the Health Research Board (HRA/POR2012/054), and the North Eastern Cancer Research and Education Trust, and the Science Foundation Ireland funded Molecular Therapeutics for Cancer Ireland (08-SRC-B1410). We would like to acknowledge the study participants, the All Ireland Clinical Oncology Research Group (ICORG) site research staff for coordinating sample collection and Ausra Teiserskiene at ICORG Group Central Office for central coordination of study samples.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0080,006
Charge utile insuffisante (le modèle a refusé de juger)0,0020,003

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 Opus0,123
Tête enseignante GPT0,413
Écart entre enseignants0,290 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2016
Routes d'admission1
Résumé présentnon

Explorer davantage

Même revueJNCI Journal of the National Cancer InstituteMême sujetHER2/EGFR in Cancer ResearchTravaux en français237 207