Detection and treatment key topics at annual breast cancer symposium
Notice bibliographique
Résumé
Scientists gathered in San Francisco in October to discuss the latest findings in breast cancer research at the 2009 Breast Cancer Symposium. Below, Funda Meric-Bernstam, MD, professor of surgical oncology at M. D. Anderson Cancer Center in Houston, Texas, and breast disease section editor for Cancer, offers the bottom line on 3 of the featured studies. Trastuzumab May Improve Survival in High-Risk HER2i- Breast Cancer Finding: Women with small node-negative, HER2-positive (HER2+), breast tumors appear to benefit from adjuvant trastuzumab (Herceptin) treatment. (Lead author: Heather L. McArthur MD, MPH, Memorial Sloan-Kettering Cancer Center in New York). Commentary: Randomized clthical trials of trastuzumab chemotherapy have shown a significant improvement recurrence and survival rates in women with node positive “high-risk” node-negative, HER2+ tumors. However, the treatment of small HER2+ tumors is controversial. In the study by McArthur et al, investigators evaluated the outcome of women with HER2+ tumors 2 cm or smaller who were treated at Memorial Sloan-Kettering before and after the adjuvant trastuzumab era. The authors reported a significant improvement in disease-free survival in the post-trastuzumab era. Although retrospective studies have limitations due to potential additional changes in management over that time (eg, imaging and adjuvant endocrine therapy), the findings are compelling. These results need to Nt considered in the context of 2 recent studies—one from M. D. Anderson, the other from the Instituto Europeo di Oncologia in Milan, Italy. Both showed that women with small (International Union Against Cancer [UICCI] Tla,Tlb) HER2+ tumors are at significantly increased risk of recurrence1, 2 Thus, HER2+ womcn, cvcn with smallcr tumors, arc at high enough risk to warrant inclusion in future HER2-targeted therapy trials. Although level 1 evidence [as measured by the US Preventive Services Task Force evidence-based medicine standards] is lacking, the results from McArthur et al suggest that adjuvant anti-HER2 therapy is worth considering in with HER2+T1 tumors. Novel Tool May Predict Tamoxifen Response Finding: PAM5O gene assay is highly prognostic for estrogen receptor (ER)-positive, tamoxifen-treated, breast cancer. (Lead author: Matthew j Ellis, PhD, Washington University School of Medicine in St. Louis, Missouri). Commentary: PAM5O is a novel 50-gene qRT-PCRbased predictor that can be used on formalin-fixed, paraf fin-embedded tissue. This gene expression- based system differentiates “intrinsic subtypes” (luminal A and B, HER2-enriched, and basal-like) and previously has been shown to predict response to neoadjuvant chemotherapy.3 Ellis et al demonstrate that PAM5O is highly prognostic among women with ER-positive disease who received tamoxifen alone. PAM5O appeared to have superiority over both clinical-pathologic predictors and immunohistochemistry-based predictors. If validated, PAM5O holds promise as a valuable prognostic tool. It would be of interest to see how PAM5O compares with Oncotype Dx, which is commonly used in this patient population. Immunohistochemistry (IHC) Classification May Help Select Breast Cancer Treatment Finding: Tissue microarrays identify biological subtype of breast cancer and predict value of adjuvant chemotherapy. (Lead author Torsten 0. Nielsen, MD, PhD, University of British Columbia in Vancouvei Canada). Commentary: Nielson et al used IHC for ER, HER2, Ki67, cytokeratin 5/6, and epidermal growth factor receptor (EGFR) to categorize patients treated in the Cancer and Leukemia Group B (CALGB)-9344 study into intrinsic subset types. This study demonstrated that intrinsic biologic subtype is independently prognostic. It also predicted the benefit of adding paclitaxel to adjuvant doxorubicin-cyclophosphamide chemotherapy. Clcarly, we are entering an era where we will be able to classify breast tumors better, and one hopes that we can rapidly use this information to stratify patients better on the basis of risk of recurrence and relative benefit of additional therapies. An IHC-based panel may be advantageous because of its low cost, because it adds only 3 additional IHC markers (Ki67, cytokcratin 5/6, and EGFR) to markers already in routine use (ER and HER2). It will be interesting to see how reproducible this THC-based classification will be between laboratories and how it compares with genomics-based predictors like PAM5O.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,008 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,041 | 0,019 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».