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Enregistrement W2266142448 · doi:10.1182/blood.v124.21.396.396

The Oral Selective Inhibitor of Nuclear Export (SINE) Selinexor (KPT-330) Demonstrates Broad and Durable Clinical Activity in Relapsed / Refractory Non Hodgkin’s Lymphoma (NHL)

2014· article· en· W2266142448 sur OpenAlexaff
John Kuruvilla, John C. Byrd, Joseph M. Flynn, Ramiro Garzon, Pierluigi Porcu, Nina D. Wagner‐Johnston, Mary Lynn Savoie, Richard M. Stone, Eric D. Jacobsen, Morten Mau‐Sørensen, Peter de Nully Brown, Rachid Baz, Bijal Shal, Ian W. Flinn, Nashat Gabrail, Vishal Kukreti, Rodger E. Tiedemann, Yosef Landesman, Boris Klebanov, Eran Shacham, Jean‐Richard Saint‐Martin, Tracey Marshall, John S. McCartney, Dilara McCauley, Robert Carlson, Sasha Norori, Michael R. Savona, Tami Rashal, Mansoor Raza Mirza, Michael Kauffman, Sharon Shacham

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueNuclear Structure and Function
Établissements canadiensOzmosis Research (Canada)Alberta Health ServicesPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésNeutropeniaLymphomaNauseaNuclear export signalMedicineAnemiaInternal medicineCancer researchVomitingProgressive diseaseCell cycle checkpointGastroenterologyCancerCell cycleOncologyChemotherapyCell nucleus

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The nuclear export protein, XPO1 is overexpressed in all types of malignant lymphoma. The SINE selinexor (KPT-330) is a slowly reversible XPO1 antagonist that forces the nuclear retention and activation of over 10 tumor suppressor proteins (TSP) such as p53, IkB, FOXO and p21. In addition, selinexor inhibits the nuclear export and the translation of oncogenic mRNAs such as c-myc and Bcl-XL levels. Together these effects result in apoptosis of cancer cells in preclinical models of both T- and B- cell NHL. In DLBCL cell lines (n=10), selinexor induced potent cytotoxicity against both germinal center (GCB) and nonGCB including those with high MYC and/or BCL2/6 protein levels. Methods: Selinexor was administered orally for 4-10 doses in a 28-day cycle in this phase 1 study. Serial tumor biopsies were performed. Response evaluation was performed in cycle 1 and 2 and then every 2 cycles. All pts had heavily pretreated NHL with documented progressive disease (PD) on study entry. Results: 58 pts (34 males 24 females; median age 62 yrs; ECOG PS 0/1/2: 19/35/4; median prior regimens: 3) received selinexor across 13 dose levels (3 to 80 mg/m2). The recommended Phase 2 dose is 60 mg/m2 based on results across all Phase 1 studies. Grade 3/4 events (>5%) include thrombocytopenia (31%), neutropenia (22%), fatigue (10%), and anemia (7%). The most common Grade 1/2 AEs were: nausea (66%), anorexia (47%), fatigue (40%), and vomiting (40%) that were manageable with supportive care and were seen less frequently following cycle 1. Increases in XPO1 mRNA levels were observed at all doses and sustained for 4-48 hours, supporting twice weekly dosing. Tumor biopsies confirmed TSP nuclear localization, c-myc reductions, and apoptosis induction of cancer cells. Objective responses were observed in all classes of NHL studied (Table 1). An objective response rate (ORR) of 31% was observed across all NHL types. An ORR of 40% was observed in pts with rel/ref aggressive B-NHL (DLBCL, Follicular NHL grade 3b (FLgrd3b) and transformed NHL) at doses ³60 mg/m2 vs an ORR of 33% at 23-50 mg/m2 and 25% at ²20 mg/m2. Across all NHL types, time to best response was delayed, including 5 complete responses (CR) (4 in DLBCL and 1 T-NHL). Nine pts out of 34 have remained on therapy for >6-23 months without clinically significant cumulative toxicities or major organ dysfunction. Conclusions: Selinexor treatment is generally well tolerated with supportive care and can be given over a prolonged period. Durable single agent activity in pts with heavily pretreated NHL has been observed. Phase 2 studies in DLBCL, Richter's transformation and T-NHL of single agent selinexor as well as in combination with other agents including CD20 antibodies are expected to begin in the near future. Abstract 396. Table 1 Cancer Type Selinexor Dose (mg/m2) N* ORR (%) CR (%) PR (%) SD (%) PD (%) WC/NE (%) Aggressive B-NHL (DLBCL, FLgrd3b, Transformed) ≤20 4 1 (25%) -- 1 (25%) 1 (25%) 2 (50%) -- 20 – 50 21 7 (33%) 4 (19%) 3 (14%) 5 (24%) 6 (29%) 3 (14%) ≥60* 10 4 (40%) -- 4 (40%) 4 (40%) -- 2 (20%) Follicular & Other Indolent NHL ≤30 4 -- -- -- 4 (100%) -- -- ≥35 4 2 (50%) -- 2 (50%) 1 (25%) -- 1 (25%) Mantle Cell Lymphoma ≤30 2 1 (50%) -- 1 (50%) 1 (50%) -- -- ≥35 2 -- -- -- -- 1 (50%) 1 (50%) T-Cell Lymphoma ≤30 4 -- -- -- 2 (50%) -- 2 (50%) ≥35 1 1 (100%) 1 (100%) -- -- -- -- Richter's Transformation ≤30 3 1 (33%) -- 1 (33%) 2 (67%) -- -- ≥35 3 1 (33%) -- 1 (33%) -- -- 2 (67%) TOTAL 58 18 (31%) 5 (9%) 13 (22%) 20 (34%) 9 (16%) 11 (19%) * First pt in this population was dosed on 23-July-2012 ORR=Objective Response Rate; CR=Complete Response; PR=Partial Response; SD=Stable Disease; PD=Progressive Disease; WC=Withdrew Consent; NE=Non-Evaluable Disclosures Byrd: Pharmacyclics, Genentech: Research Funding. Porcu:Infinity: Research Funding; Seattle genetics: Research Funding; Actelion: Honoraria; Celgene: Honoraria; United States Cutaneous Lymphoma Consortium: Membership on an entity's Board of Directors or advisory committees; Cutaneous Lymphoma Foundation: Membership on an entity's Board of Directors or advisory committees. Stone:AbbVie, Inc: Consultancy; Agios: Consultancy; Amgen: Consultancy; Celator: Consultancy; Celgene: Consultancy; Roche: Consultancy. Baz:Celgene: Research Funding; Millennium: Research Funding; Bristol Myers Squibb: Research Funding; Karyopharm: Research Funding; Sanofi: Research Funding. Flinn:AstraZeneca: Research Funding. Kukreti:Celgene: Honoraria. Landesman:Karyopharm Therapeutics: Employment. Klebanov:Karyopharm Therpeutics: Employment. Shacham:Karyopharm Therapeutics: Employment. Saint-Martin:Karyopharm Therpeutics: Employment. Marshall:Karyopharm Therpeutics: Employment. McCartney:Karyopharm Therpeutics: Employment. McCauley:Karyopharm Therapeutics: Employment, Equity Ownership. Carlson:Karyopharm Therapeutics: Employment. Norori:Karyopharm Therpeutics: Consultancy. Savona:Karyopharm Therpeutics: Membership on an entity's Board of Directors or advisory committees. Rashal:Karyopharm Therapeutics: Employment. Mirza:Karyopharm Therpeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees. Kauffman:Karyopharm Therapeutics: Employment, Equity Ownership. Shacham:Karyopharm Therpeutics: Employment, Equity Ownership.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,007
Tête enseignante GPT0,239
Écart entre enseignants0,232 · 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'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

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

En bref

Citations38
Publié2014
Routes d'admission1
Résumé présentoui

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