Abstract B24: De novo and acquired resistance to first-line standard therapy in colorectal cancer: from cell lines to metastatic tumors
Notice bibliographique
Résumé
Abstract Introduction: Personalized medicine (PM) is a concept that has raised high expectations amongst scientists, clinicians, and patients. An emerging approach is to examine tumor biopsy material for genomic changes that are known targets of currently available therapeutic agents, with the assumption that a clinical benefit will be observed if the target is inhibited. While striking anecdotal reports are predictable from this approach, the clinical impact of these agents is limited by the inevitable development of therapeutic resistance. Our focus is on the design of parallel research programs using both in vitro and in vivo strategies, in an effort to delay or inhibit resistance. We present here preliminary data for a signature of resistance to standard first-line treatment - fluorouracil, folinic acid, oxaliplatin and bevacizumab (FOLFOX/B) using cell line models of resistance to this regimen. In parallel, we are conducting a prospective study to identify biomarkers of clinical resistance to first-line therapy in patients with metastatic colorectal cancer (CRC) (NCT00984048). Methods: Ten established CRC cell lines were treated with FOLFOX/B and categorized as resistant or sensitive based on IC50 values. In parallel, patients who consented to an initial biopsy and one at disease progression following an initial response were identified as intrinsically resistant or as having acquired resistance during treatment. CRC cell lines that were initially sensitive were rendered resistant to mimic the acquired resistance in patients, by serial passages with gradual increases in concentration of the combination regimen. We compared microarray data from three sensitive and three resistant cell lines. Results: We found a different expression pattern from microarray data comparing sensitive and resistant cell lines, thereby indicating a potential signature of resistance to FOLFOX/B. Interestingly, we found that the Src family kinase Lyn was overexpressed in resistant cells lines. Treating cells with non-cytotoxic concentration of dasatinib, a dual Src family kinase and Abl inhibitor, sensitized both the parental sensitive cells and the cells with acquired resistance to FOLFOX/B, thereby suggesting that combination treatment with dasatinib may be effective in delaying or inhibiting resistance. We have thus far collected needle core biopsies from liver metastases from forty patients who agreed to partake in this multi-center trial. Eligible patients have confirmed metastatic CRC, measurable disease, and consent to three needle-core biopsies (NCBs) of a non-resectable liver metastasis before treatment and at resistance, as well as serial blood collection throughout the study. Using standard operating procedures developed for this trial, we were able to both preserve morphology and obtain high-quality genomic material from biopsy tissue. We will determine if the resistance signature and overexpression of Lyn observed in the resistant CRC cell lines are similarly demonstrated in patients that were intrinsically resistant to FOLFOX/B. Conclusions: We have designed parallel in vitro and in vivo experiments to study resistance to standard first-line treatment for mCRC. These studies provide insight on metastatic signatures of resistance and suggest combination therapies to delay or inhibit therapeutic resistance in patients.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».