Evidence map›Paper›PMID 33177106›Full record

ArticleCancer immunology research2021

A CRISPR Screen Reveals Resistance Mechanisms to CD3-Bispecific Antibody Therapy.

Si-Qi Liu, Alyssa Grantham, Casey Landry, Brian Granda, Rajiv Chopra, Srinivas Chakravarthy, Sabine Deutsch, Markus Vogel, Katie Russo, Katherine Seiss and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer immunology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 16 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

18 authors at 2 institutions in 1 country.

Si-Qi LiuNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Alyssa GranthamNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Casey LandryNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Brian GrandaNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Rajiv ChopraNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Srinivas ChakravarthyBioCAT-18ID, Advanced Photon Source, Argonne National Laboratory, Argonne, Illinois.
Sabine DeutschNovartis Institutes for BioMedical Research, Basel, Switzerland.
Markus VogelNovartis Institutes for BioMedical Research, Basel, Switzerland.
Katie RussoNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Katherine SeissNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
William R TschantzNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Tomas RejtarNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
David A RuddyNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Tiancen HuNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Kimberly AardalenNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Joel P WagnerNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Glenn DranoffNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Joseph A D'AlessioNovartis Institutes for BioMedical Research, Cambridge, Massachusetts. tony.dalessio@novartis.com.
Novartis Institutes for BioMedical ResearchNovartis (Switzerland) · CH

Funding

Time resolved SAXS studies on the RP2/Arl3 complex pp.484-485P41GM103622 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI IRVING, THOMAS C · 2012 to 2020
$11.9M
Advanced Pixel Array Detector for Time-Resolved SAXS and Fiber DiffractionS10OD018090 · OD · ILLINOIS INSTITUTE OF TECHNOLOGY · PI IRVING, THOMAS C · 2014 to 2014
$529k
NIGMS NIH HHS P41 GM103622NIH HHS S10 OD018090
6 · The paper itself

Abstract

CD3-bispecific antibodies represent an important therapeutic strategy in oncology. These molecules work by redirecting cytotoxic T cells to antigen-bearing tumor cells. Although CD3-bispecific antibodies have been developed for several clinical indications, cases of cancer-derived resistance are an emerging limitation to the more generalized application of these molecules. Here, we devised whole-genome CRISPR screens to identify cancer resistance mechanisms to CD3-bispecific antibodies across multiple targets and cancer types. By validating the screen hits, we found that deficiency in IFNγ signaling has a prominent role in cancer resistance. IFNγ functioned by stimulating the expression of T-cell killing-related molecules in a cell type-specific manner. By assessing resistance to the clinical CD3-bispecific antibody flotetuzumab, we identified core fucosylation as a critical pathway to regulate flotetuzumab binding to the CD123 antigen. Disruption of this pathway resulted in significant resistance to flotetuzumab treatment. Proper fucosylation of CD123 was required for its normal biological functions. In order to treat the resistance associated with fucosylation loss, flotetuzumab in combination with an alternative targeting CD3-bispecific antibody demonstrated superior efficacy. Together, our study reveals multiple mechanisms that can be targeted to enhance the clinical potential of current and future T-cell-engaging CD3-bispecific antibody therapies.

Indexed as

AnimalsAntibodies, BispecificAntineoplastic AgentsCD3 ComplexCell Line, TumorClustered Regularly Interspaced Short Palindromic RepeatsHumansImmunotherapyInterferon-gammaInterleukin-3 Receptor alpha SubunitLymphocyte ActivationMiceMice, Inbred NODT-Lymphocytes, CytotoxicAntibodies, BispecificAntineoplastic AgentsCD3 ComplexInterferon-gammaInterleukin-3 Receptor alpha Subunit

Identifiers

PMID33177106
PMCPMC8601150
OpenAlexW3098060231

What OpenQuestion holds

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LicenceTDM
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.