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Temporal Profiles of Lymphocyte Subsets and the Correlation with Infectious Events in Idelalisib-Treated Patients

2016· article· en· W2560524290 on OpenAlexaff
Jeffrey P. Sharman, Gilles Salles, Wojciech Jurczak, Jeffrey A. Jones, Carolyn Owen, Veerendra Munugalavadla, Lyndah Dreiling, Yuanyuan Xiao, Arati V. Rao, Ian W. Flinn, Susan O’Brien

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineIdelalisibOfatumumabBendamustineInternal medicinePlaceboPopulationRituximabImmunologyChronic lymphocytic leukemiaLymphomaLeukemiaIbrutinib

Abstract

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Abstract Introduction: Idelalisib (IDELA) is a targeted PI3Kd inhibitor approved as monotherapy in relapsed follicular lymphoma and in combination with rituximab in relapsed chronic lymphocytic leukemia (CLL). Increased rates of adverse events (AEs) were recently observed in the IDELA vs placebo arms of randomized controlled trials (RCT) evaluating IDELA added to standard therapies in front-line CLL and early-line indolent non-Hodgkin lymphoma (iNHL). AEs leading to death were mainly infectious and included pneumocystis jirovecii pneumonia (PJP) and cytomegalovirus (CMV). This analysis across trials in the relapsed population evaluated whether quantitative changes in lymphocyte subsets may have contributed to these AEs. Methods: Peripheral blood immunophenotypic data available for analysis from patients (pts) (n = 1,480) treated in 5 IDELA RCTs were analyzed. Three studies (n = 787) included pts with relapsed CLL (NCT01569295: IDELA + bendamustine-rituximab [BR] vs placebo + BR; NCT01539512: IDELA + R vs placebo + R and NCT0165902: IDELA + ofatumumab [O] vs placebo + O) and 2 studies (n = 693) included R/R iNHL pts (NCT01732913: IDELA + R vs placebo + R and NCT01732926: IDELA +BR vs placebo + BR). Absolute numbers of T (CD4+ and CD8+), B (CD19+) and NK (CD16+/CD56+) cells were analyzed longitudinally in both IDELA and placebo pts across the 5 studies. Lymphocyte subsets were analyzed separately in those who died and then correlated with specific grade ≥3 AEs including infections, febrile neutropenia, and respiratory (acute respiratory failure, pneumonitis) events. Analysis was conducted within individual study and for all studies combined. Of note, samples were collected more frequently during the first 6 months (during combination therapy) and collection times varied among the 5 studies. Results: There was no specific trend noted with the CD8+ T-cells between treatment groups across the studies. Generally, NK-cells were decreased to a similar degree in both IDELA and placebo pts at weeks 10 to 12 with recovery starting around week 24. There were no differences in median NK- and CD8+ T-cell counts between pts with grade ≥3 AEs and no AEs within either group. In both BR trials, CD4+ T-cells nadir to <200 cells/µl occurred at week 22 in both groups. Recovery of CD4 to ≥200 cells/µL occurred at week 30 in CLL pts and at week 72 in iNHL pts. Median CD4+ T-cells in pts on the BR trials were lower in groups both with and without AEs, compared with non-BR trials (Table 1). There were a total of 31 cases of PJP (13 in the BR trials) and 32 cases of CMV infection (28 in the BR trials). Analysis of PJP and CMV pts with available immunophenotypic data (n = 46) revealed that 33 pts had CD4 <200 cells/µL; 31 of these were treated with IDELA plus combination therapy (Figure 1). Finally, while there were more grade ≥3 AEs within IDELA arms, these did not occur at any specific CD4 level and, in fact, grade ≥3 AEs were noted even in pts with CD4 >900 cells/µL. Conclusion: Within 5 RCTs evaluating IDELA vs placebo in combination with an anti-CD20 mAb or BR in R/R CLL or iNHL, there was no correlation between grade ≥3 AEs and NK- or CD8+ T-cell counts. Median CD4+ T-cells in pts on the BR trials were lower in both groups in those with and without AEs, compared with non-BR trials. In addition, pts with PJP and CMV infections were noted to have CD4+ T-cells <200 cells/ µL, and this was more common in IDELA-treated patients, especially when combined with BR, suggesting that the lymphosuppressive effect of IDELA may augment the myelosuppressive effect of bendamustine. While this current study involves the quantitative analysis of various immune cell subsets, it may be the qualitative function of these cells that contributed to infections. Assays evaluating the qualitative function of these cells are being investigated. All IDELA trials have been amended to include PJP prophylaxis and CMV monitoring. Figure 1 Figure 1. Incidence of PJP and CMV Infections and Correlation with CD4 Count. Disclosures Sharman: Gilead Sciences, Inc.: Honoraria, Research Funding. Salles:Mundipharma: Honoraria; Amgen: Consultancy, Honoraria; Gilead: Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Roche/Genentech: Consultancy, Honoraria, Research Funding. Jurczak:Celltrion, Inc: Research Funding; Janssen: Research Funding; Gilead Sciences: Research Funding; Acerta: Research Funding; Bayer: Research Funding. Jones:AbbVie: Consultancy, Honoraria, Research Funding; Genentech: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; Gilead Sciences: Consultancy, Research Funding; PCYC: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Owen:Janssen: Honoraria; Gilead: Honoraria, Research Funding; Pharmacyclics: Research Funding; Celgene: Honoraria, Research Funding; Abbvie: Honoraria; Lundbeck: Honoraria, Research Funding; Novartis: Honoraria; Roche: Honoraria, Research Funding. Munugalavadla:Gilead Sciences: Employment, Equity Ownership. Dreiling:Gilead Sciences: Employment, Equity Ownership. Xiao:Gilead Sciences: Employment, Equity Ownership. Rao:Gilead Sciences: Employment, Equity Ownership. Flinn:Janssen: Research Funding; Pharmacyclics LLC, an AbbVie Company: Research Funding; Gilead Sciences: Research Funding; ARIAD: Research Funding; RainTree Oncology Services: Equity Ownership. O'Brien:Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.236
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2016
Admission routes1
Has abstractyes

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