Abstract PO-068: Efforts to define biochemical and pharmacologic pathways potentially beneficial to both cancer and COVID-19 patients
Notice bibliographique
Résumé
Abstract Since COVID-19 infections have been frequently diagnosed in cancer patients, often associated with worst prognosis (1), an effort was conducted in order to identify biomolecular pathways and repurposable drugs, which could benefit patients for COVID-19 and cancer at the same time. Starting from over 3265 PubMed references, we have screened approximately 650 abstracts in order to identify the two most interesting pathways. Abstract were independently read and selected by UR and AV and then discussed in video conferences. Final decision on biochemical pathways or particular drugs was agreed only after identification of potential underlying molecular mechanism(s) for both COVID-19 and specific cancer types. Both impinge on the basic structure of 4-aminoquinoline, which is the alkaloid backbone of several important compounds effective in parasitology, rheumatology and cancer treatment. Their pharmacologic utilization was initiated with the discovery of quinine from the bark of the cinchona tree (1630) with further synthetic drugs developments such as chloroquine (CQ) and hydroxychloroquine (HCQ) in 1949-50, all variants of the 4-aminoquinoline family (2). 1. One pathway targets the PNP enzymes (purine nucleoside phosphorylases), dysregulation of which is often associated with apoptosis in cancer cells. PNP has been considered an oncogene, which is downregulated by tumor suppressors in PCa (miR-I; miR-133) (3). PNP inhibition has been demonstrated by strong binding of the aminoquinoline quinine through several MS technologies (4). We are investigating whether this is also true for COVID-19. 2. A second pathway is associated with HCQ usage. We have recently reviewed how HCQ at higher dosage could benefit COVID-19 patients, if they are treated in the earlier (or prophylactic) phases of the disease (5). Despite the wide publicity of HCQ negative effects, the results of Mehra et al. in Lancet have been recently questioned in an open letter on several scientific and ethical grounds and the paper has been finally retracted. Furthermore, there are still few and small RCTs testing this drug in the early disease phases. HCQ behaves as a weak base that is typically trapped inside the acidic environment of phagocytic organelle—such as lysosomes—thus raising their pH (2). Therefore, in the presence of lysosomotropic HCQ: 1. SARS-CoV-2 appears to be blocked inside lysosomes and devoid of the proteolytic cleavage required for infection (6) and 2. in cancer cells, the important mechanism of autophagy is strongly inhibited, causing tumor shrinkage or apoptosis (also in association with chemotherapy) (7). We are presently investigating HCQ effects in patients’ tumors explants or surrogate tissues. Our efforts in identifying molecular/pharmacologic pathways that could benefit patients for both COVID-19 and cancer led to the identification of at least two pathways, PNP and autophagy—both associated to 4-aminoquinoline derivatives—which are now being studied in experimental models. Citation Format: Ugo Rovigatti, Amedeo Vannacci, Simone Del Corto, Ignacio Martin-Loeches, Andrea Piccin, Nizar Naji, Carmel Mothersill. Efforts to define biochemical and pharmacologic pathways potentially beneficial to both cancer and COVID-19 patients [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2020 Jul 20-22. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(18_Suppl):Abstract nr PO-068.
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 | 0,003 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,005 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,041 | 0,007 |
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 ».