Abstract P6-04-09: Single Cell Whole Genome Amplification for High Density SNP Analysis of Circulating Tumour Cells in Early Breast Cancer
Notice bibliographique
Résumé
Abstract Background: Despite progressive advances in the fields of radiation and chemotherapy, metastasis remains the leading cause of death in women with recurrent breast cancer. In metastasis, cells disseminate from the primary tumor, and circulate via the vascular system to distant organs, developing tumors at these new sites. Recent studies have suggested that tumor cells disseminate early on and develop the capacity to metastasize independently from the primary tumor. These circulating tumour cells (CTCs) represent the intermediate cells between primary tumours and metastases. The presence of CTCs in blood is an established prognostic marker of shorter progression-free and overall survival. It is currently impossible to distinguish CTCs from normal epithelial cells. They are also a rare population (approximately 1 out of 109 blood cells), making genomic profiling unachievable thus far. If the whole genome of CTCs can be screened for genomic alterations, two fundamental problems can be addressed (a) identifying a gene signature describing specific genomic alterations in early breast cancer that are associated with metastasis; and (b) utilizing this signature in the development of specific markers for CTCs in blood. Materials and Methods: We have successfully designed a protocol for the isolation of CTCs from blood for subsequent whole genome amplification (WGA) and microarray analysis. Blood samples from healthy donors were spiked with MCF7 tumor cells, and then enriched by automated immunomagnetic column separation. Enriched cell smears were stained for cytokeratin, using a glucose oxidase (GO) detection system. GO is absent from mammalian cells, which abolishes false positives seen with alkaline phosphatase and horse raddish peroxidase detection. Positively stained cells were isolated by single-cell laser capture microdissection, followed by WGA. Results: Genomic amplification was observed from as few as 2 MCF7 cells; with a sufficient yield of 1.5-3 μg of DNA. Microarray analysis was carried out on the high density Affymetrix Genome Wide SNP 6.0 array. Expected regions of amplification and deletion in the MCF7 cell line were identified in WGA samples. Copy number states were found to be strictly conserved across samples with single cell starting material (P<0.0001). We achieved up to 84% SNP call concordance between amplified single cell DNA and unamplified genomic DNA (P<0.0001). Discussion: We are isolating CTCs from the peripheral blood of 60 patients with early breast cancer. We have isolated CTCs and amplified DNA from 11 of 20 patients recruited so far. This preliminary study shows regions of DNA amplification that are unique to CTCs. We hypothesize that genes within these regions have the potential of being developed into CTC specific markers, and include genes associated with epithelial-mesenchymal transition, dormancy, cancer cell-stemness, migration, and invasion of the extracellular matrix. Identification of novel genomic alterations in CTCs associated with metastasis will pave the way for the development of a robust molecular or immunohistochemical prognostic test in patients with early breast cancer, to better identify those patients whose disease will progress to metastasis. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P6-04-09.
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 | 0,001 | 0,001 |
| 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 | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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 ».