Abstract 251: Stem cell altruism may serve as a novel drug resistance mechanism in oral cancer
Notice bibliographique
Résumé
Abstract Background: The mechanism of oral squamous cell carcinoma resistance to platinum-based chemotherapy is not clearly known. Previous studies indicated that glutathione (GSH), a cellular antioxidant may detoxify cisplatinum (CDDP), a commonly used chemotherapy agent in oral cancer. Our previous research in human embryonic stem cells (hESCs) indicated the altruistic behavior of ABCG2+ hESCs that secrete high level of GSH to protect other hESCs exposed to oxidative stress (Das B et al. Stem Cells, 2012). Here we investigated if CDDP exposure lead to altruistic stem cell reprogramming of ABCG2+ oral squamous cell carcinoma cells and subsequent GSH-mediated resistance against CDDP. Methods: Two oral squamous cell cancer cell lines SCC-25 and SCC-15 were treated with 3-10 uM CDDP for three-days, and then subjected to flow cytometry and immunomagnetic sorting based evaluation of ABCG2+ cells. The conditioned media (CM) obtained from ABCG2+ cells were examined for GSH content. The CM treated cancer cell lines were examined for resistance against CDDP toxicity. Next, the post-CDDP treated ABCG2+ cells were examined for enhanced stemness phenotype that corresponds to altruistic stem cell phenotype (Das B et al, Stem Cells 2012). Results: We found that CDDP treatment increases the ABCG2+ self-renewal capacity of SCC-25 and SCC-15 cells as measured by serial transplantation assay. The CM of the post-CDDP treated cells exhibited high level of GSH. When the SCC-15 and SCC-25 cells were treated with CM plus CDDP, the cancer cells exhibited 10-15-fold increase in resistance against CDDP toxicity. Next, the post-CDDP treated SCC-25 and SCC-15 cells exhibited enhanced stemness reprogramming phenotype characterized by very high HIF-2alpha, Sox-2 and Nanog transcriptional activity. Furthemore, we found increased expression of EMT (epithelial mesenchymal transition) marker expression including Snail, Twist and vimentin as evaluated by flow cytometry. siRNA HIF-2alpha treatment led to marked loss in the in vivo self-renewal capacity of ABCG2+ SCC-25 and SCC-15 cells. We then noted that post-CDDP ABCG2+ cells exhibited reversible state, as after two weeks of culture, most of the cells either differentiated or underwent apoptosis. Conclusions: These results indicate that oral cancer cells exhibit altruistic defense mechanism to resist the toxicity of CDDP. The altruistic defense mechanism involved high secretion of GSH. Thus, we suggest that similar to bacterial altruism as a mechanism of drug resistance, stem cell altruism may also serve as a novel mechanism of drug resistance in cancer. Citation Format: Bidisha Pal, Reza Bayat-Mokhtari, Hong Li, Rashmi Bhuyan, Joyeeta Talukdar, Sora Sandhya, Anupam Sarma, Wael Tasabehji, Seema Bhuyan, Sukanya Gayan, Amal Ch Kataki, Debabrata Baishya, Herman Yeger, Dean W. Felsher, Bikul Das. Stem cell altruism may serve as a novel drug resistance mechanism in oral cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 251.
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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».