MétaCan
Menu
Retour à la cohorte
Enregistrement W4221065122 · doi:10.1038/s41392-022-00958-4

Correction: Activation of RAS/MAPK pathway confers MCL-1 mediated acquired resistance to BCL-2 inhibitor venetoclax in acute myeloid leukemia

2022· erratum· en· W4221065122 sur OpenAlexaff
Qi Zhang, Bridget Riley‐Gillis, Lina Han, Yannan Jia, Alessia Lodi, Haijiao Zhang, Saravanan Ganesan, Rongqing Pan, Sergej Konoplev, Shannon Sweeney, Jeremy Ryan, Yulia Jitkova, Kenneth Dunner, Shaun Grosskurth, Priyanka Vijay, Sujana Ghosh, Charles Lu, Wencai Ma, Stephen E. Kurtz, Vivian Ruvolo, Helen Ma, Connie C. Weng, Cassandra L. Ramage, Natalia Baran, Tianyu Cai, R. Eric Davis, Venkata Lokesh Battula, Yingchang Mi, Jing Wang, Courtney D. DiNardo, Michael Andreeff, Jeffery W. Tyner, Aaron D. Schimmer, Anthony Letai, Rose Ann Padua, Carlos E. Bueso-Ramos, Stefano Tiziani, Joel D. Leverson, Relja Popovic, Marina Konopleva

Notice bibliographique

RevueSignal Transduction and Targeted Therapy · 2022
Typeerratum
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueProtein Degradation and Inhibitors
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxMyeloid leukemiaCancer researchMedicineLeukemiaMyeloidMAPK/ERK pathwayImmunologyBiologySignal transductionChronic lymphocytic leukemiaGenetics

Résumé

récupéré en direct d'OpenAlex

Authors and Affiliations Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Qi Zhang, Lina Han, Yannan Jia, Vivian R. Ruvolo, Helen Ma, Connie C. Weng, Cassandra L. Ramage, Natalia Baran, Ce Shi, Tianyu Cai, Venkata L. Battula, Courtney D. DiNardo, Michael Andreeff & Marina Konopleva AbbVie Inc., North Chicago, IL, USA Bridget Riley-Gillis, Shaun E. Grosskurth, Priyanka Vijay, Sujana Ghosh, Charles Lu, Joel Leverson & Relja Popovic Institute of Hematology, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China Yannan Jia & Yingchang Mi Department of Nutritional Sciences, Department of Pediatrics, Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, 78712, USA Alessia Lodi, Shannon R. Sweeney & Stefano Tiziani Department of Cell, Developmental & Cancer Biology, Division of Hematology & Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA Haijiao Zhang, Stephen Kurtz & Jeffery W. Tyner Université de Paris, Institut de la Recherche Saint-Louis (IRSL), Inserm Unit 1131, Paris, France Saravanan Ganesan & Rose Ann Padua Dana-Farber Cancer Institute, Boston, MA, USA Rongqing Pan, Jeremy A. Ryan & Anthony Letai Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Sergej N. Konoplev, Aaron Schimmer & Carlos E. Bueso-Ramos Princess Margaret Cancer Center, Toronto, ON, Canada Yulia Jitkova High Resolution Electron Microscopy Facility, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Kenneth Dunner Jr Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Wencai Ma & Jing Wang Department of Hematology, The First Hospital Affiliated Harbin Medical University, Harbin, China Ce Shi Department of Lymphoma & Myeloma Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Richard Eric Davis Authors Qi Zhang View author publications You can also search for this author in PubMed Google Scholar Bridget Riley-Gillis View author publications You can also search for this author in PubMed Google Scholar Lina Han View author publications You can also search for this author in PubMed Google Scholar Yannan Jia View author publications You can also search for this author in PubMed Google Scholar Alessia Lodi View author publications You can also search for this author in PubMed Google Scholar Haijiao Zhang View author publications You can also search for this author in PubMed Google Scholar Saravanan Ganesan View author publications You can also search for this author in PubMed Google Scholar Rongqing Pan View author publications You can also search for this author in PubMed Google Scholar Sergej N. Konoplev View author publications You can also search for this author in PubMed Google Scholar Shannon R. Sweeney View author publications You can also search for this author in PubMed Google Scholar Jeremy A. Ryan View author publications You can also search for this author in PubMed Google Scholar Yulia Jitkova View author publications You can also search for this author in PubMed Google Scholar Kenneth Dunner Jr View author publications You can also search for this author in PubMed Google Scholar Shaun E. Grosskurth View author publications You can also search for this author in PubMed Google Scholar Priyanka Vijay View author publications You can also search for this author in PubMed Google Scholar Sujana Ghosh View author publications You can also search for this author in PubMed Google Scholar Charles Lu View author publications You can also search for this author in PubMed Google Scholar Wencai Ma View author publications You can also search for this author in PubMed Google Scholar Stephen Kurtz View author publications You can also search for this author in PubMed Google Scholar Vivian R. Ruvolo View author publications You can also search for this author in PubMed Google Scholar Helen Ma View author publications You can also search for this author in PubMed Google Scholar Connie C. Weng View author publications You can also search for this author in PubMed Google Scholar Cassandra L. Ramage View author publications You can also search for this author in PubMed Google Scholar Natalia Baran View author publications You can also search for this author in PubMed Google Scholar Ce Shi View author publications You can also search for this author in PubMed Google Scholar Tianyu Cai View author publications You can also search for this author in PubMed Google Scholar Richard Eric Davis View author publications You can also search for this author in PubMed Google Scholar Venkata L. Battula View author publications You can also search for this author in PubMed Google Scholar Yingchang Mi View author publications You can also search for this author in PubMed Google Scholar Jing Wang View author publications You can also search for this author in PubMed Google Scholar Courtney D. DiNardo View author publications You can also search for this author in PubMed Google Scholar Michael Andreeff View author publications You can also search for this author in PubMed Google Scholar Jeffery W. Tyner View author publications You can also search for this author in PubMed Google Scholar Aaron Schimmer View author publications You can also search for this author in PubMed Google Scholar Anthony Letai View author publications You can also search for this author in PubMed Google Scholar Rose Ann Padua View author publications You can also search for this author in PubMed Google Scholar Carlos E. Bueso-Ramos View author publications You can also search for this author in PubMed Google Scholar Stefano Tiziani View author publications You can also search for this author in PubMed Google Scholar Joel Leverson View author publications You can also search for this author in PubMed Google Scholar Relja Popovic View author publications You can also search for this author in PubMed Google Scholar Marina Konopleva View author publications You can also search for this author in PubMed Google Scholar Corresponding author Correspondence to Marina Konopleva .

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,089

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,016
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0030,001
Intégrité de la recherche0,0060,007
Charge utile insuffisante (le modèle a refusé de juger)0,0270,017

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,227
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations12
Publié2022
Routes d'admission1
Résumé présentnon

Explorer davantage

Même revueSignal Transduction and Targeted TherapyMême sujetProtein Degradation and InhibitorsTravaux en français237 207