Evidence map›Paper›PMID 34888856›Full record

ReviewClinical pharmacology and therapeutics2022

Clinical Pharmacology Perspectives for Adoptive Cell Therapies in Oncology.

Weize Huang, Junyi Li, Michael Z Liao, Stephanie N Liu, Jiajie Yu, Jing Jing, Naoki Kotani, Lynn Kamen, Sebastian Guelman, Dale R Miles

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Weize HuangGenentech Inc., South San Francisco, California, USA.
Junyi LiGenentech Inc., South San Francisco, California, USA.
Michael Z LiaoGenentech Inc., South San Francisco, California, USA.
Stephanie N LiuGenentech Inc., South San Francisco, California, USA.
Jiajie YuGenentech Inc., South San Francisco, California, USA.
Jing JingGenentech Inc., South San Francisco, California, USA.
Naoki KotaniGenentech Inc., South San Francisco, California, USA.
Lynn KamenGenentech Inc., South San Francisco, California, USA.
Sebastian GuelmanGenentech Inc., South San Francisco, California, USA.
Dale R MilesGenentech Inc., South San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adoptive cell therapies (ACTs) have shown transformative efficacy in oncology with five US Food and Drug Administration (FDA) approvals for chimeric antigen receptor (CAR) T-cell therapies in hematological malignancies, and promising activity for T cell receptor T-cell therapies in both liquid and solid tumors. Clinical pharmacology can play a pivotal role in optimizing ACTs, aided by modeling and simulation toolboxes and deep understanding of the underlying biological and immunological processes. Close collaboration and multilevel data integration across functions, including chemistry, manufacturing, and control, biomarkers, bioanalytical, and clinical science and safety teams will be critical to ACT development. As ACT is comprised of alive, polyfunctional, and heterogeneous immune cells, its overall physicochemical and pharmacological property is vastly different from other platforms/modalities, such as small molecule and protein therapeutics. In this review, we first describe the unique kinetics of T cells and the appropriate bioanalytical strategies to characterize cellular kinetics. We then assess the distinct aspects of clinical pharmacology for ACTs in comparison to traditional small molecule and protein therapeutics. Additionally, we provide a review for the five FDA-approved CAR T-cell therapies and summarize their properties, cellular kinetic characteristics, dose-exposure-response relationship, and potential baseline factors/variables in product, patient, and regimen that may affect the safety and efficacy. Finally, we probe into existing empirical and mechanistic quantitative techniques to understand how various modeling and simulation approaches can support clinical pharmacology strategy and propose key considerations to be incorporated and explored in future models.

Indexed as

NeoplasmsPharmacology, ClinicalReceptors, Chimeric AntigenHumansImmunotherapy, AdoptiveReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID34888856
PMCPMC9786613
OpenAlexW4200281955

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.