The Rocky Road from Cancer Stem Cell Discovery to Diagnostic Applicability
Notice bibliographique
Résumé
Similar disparity was seen for CD38 prognostic studies.For example, in 1993, Koehler et al. reported that CD38 expression failed to significantly correlate with the outcomes of 325 patients of childhood acute lymphoblastic leukemia (ALL) (Koehler et al., 1993).In 2000, Keyhani et al. evaluated the levels of CD38 expression in the blasts of 304 AML and 138 ALL patients (Keyhani et al., 2000).Patients with the higher percentages of CD38 + cancer cells had the best outcomes, experiencing both longer times between remission and relapse and improved overall survival.Their results infer that patients with increased CD38 -(LSC marker) cancer cells experienced the worse outcomes.However, lack of CD38 expression was only a significant independent risk factor for the AML patients, not ALL patients.In 2003, Repp et al. assessed the prognostic value of a panel of 33 different CD molecules for AML (Repp et al., 2003).Among the panel, expression of CD38 and CD34 was quantified singly in 783 patient samples.As the CSC theory would predict, patients with increased CD34 expression or decreased CD38 expression had poorer overall outcomes.Other LSC markers have also been tested for their prognostic value individually.In a 1994 immunophenotyping AML prognostic study (Bradstock et al., 1994), LSC proposed markers CD34, c-kit (CD117) and HLA-DR (Blair et al., 1998;Blair and Sutherland, 2000) were among the panel of CD antigens tested.CD34, c-kit and HLA-DR expression failed to correlate with patient outcome (Bradstock et al., 1994).A more recent study concluded that increased c-kit (CD117) expression correlated with worse outcomes for AML patients (Advani et al., 2008).This result was in direct disagreement with the CSC theory since it is the lack of c-kit expression in combination with CD34 expression that was used to identify LSCs (Blair and Sutherland, 2000).The above described studies suggest that the prognostic potential of LSC markers is not promising and clinically irrelevant.However, as discussed below, employed in combination, the prognostic potential of LSC markers becomes more apparent and the results therefore lend support to the CSC theory.In 2005, van Rhenen et al., quantified the frequency of CD34 + CD38 - cancer cells in 92 AML patients at time of diagnosis and reported worse outcomes for patients with increased CD34 + CD38 -cancer cells (van Rhenen A. et al., 2005).Patients with increased CD34 + CD38 -cancer cell frequency (>3.5%) relapsed on average 5.6 months post remission, while patients with lower CD34 + CD38 -cancer frequency relapsed on average 16 months post remission.The prognostic value of CD34 + CD38 -has also been observed in other leukemias.Recently, Ebinger et al. quantified the frequency of CD34 + CD38 -leukemia blasts in 42 childhood ALL cases (Ebinger et al., 2010).The researchers found that increased CD34 + CD38 - cancer cells was associated with increased minimal residual disease and thus poorer prognosis for this leukemia sub-type as well.Although future studies will be required for confirmation, it appears that using the CSC markers in combination is more relevant as a prognostic tool than their application as singly applied markers.Finally, with the more recent discovery that ALDH activity can be used as marker to isolate LSC (Cheung et al., 2007), ALDH activity is also being tested for prognostic value.Cheung et al. reported that increased ALDH activity in AML patient samples correlated significantly with the cytogenetic changes previously associated with unfavourable prognosis (Cheung et al., 2007).In 2009, Ran et al. compared the outcomes of 40 AML patients with higher percentages of ALDH+ cancer cells (>0.36%) to 28 patients with lower frequencies of ALDH+ cells (<0.36%) (Ran et al., 2009).Increased frequency of ALDH + cells correlated significantly with decreased survival probability.We await the results of future studies that will test the prognostic potential of ALDH activity combined with the LSC cell surface markers. How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following:
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 | 0,006 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,006 | 0,007 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,006 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,061 | 0,025 |
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 ».