Evidence map›Paper›PMID 30906660›Full record

ArticleOncoimmunology

Maytansine-bearing antibody-drug conjugates induce in vitro hallmarks of immunogenic cell death selectively in antigen-positive target cells.

Maxine Bauzon, Penelope M Drake, Robyn M Barfield, Brandon M Cornali, Igor Rupniewski, David Rabuka

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  6. Immunotherapy for Cancer: Current Advances and Future Directions.International journal of molecular sciences · 2026
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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

6 authors at 1 institution in 1 country.

Maxine BauzonCatalent Biologics, Emeryville, CA, USA.
Penelope M DrakeCatalent Biologics, Emeryville, CA, USA.ORCID 0000-0001-9552-0663
Robyn M BarfieldCatalent Biologics, Emeryville, CA, USA.ORCID 0000-0001-8374-4037
Brandon M CornaliCatalent Biologics, Emeryville, CA, USA.
Igor RupniewskiCatalent Biologics, Emeryville, CA, USA.ORCID 0000-0003-3061-8672
David RabukaCatalent Biologics, Emeryville, CA, USA.
Catalent (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncology treatment has been revolutionized by the introduction of immune checkpoint inhibitor drugs, which enable 20-40% of patients to generate anti-tumor immune responses. Combination treatment approaches with chemotherapeutic drugs may enable responses in the remaining patient cohorts. In this regard, a handful of drugs are promising due to their ability to induce immunogenic cell death in target cells. However, these agents are systemically delivered and indiscriminately cytotoxic to proliferating cells. By contrast, antibody-drug conjugates can selectively deliver a cytotoxic payload to a tumor, sparing most healthy cells. The ability of antibody-drug conjugates to induce immunogenic cell death in target cells has not yet been determined, although preclinical in vivo studies suggest this possibility. Here, we describe for the first time production of the in vitro hallmarks of immunogenic cell death - ecto-calreticulin and secreted ATP and HMGB1 protein - by cells in response to treatment with antibody-drug conjugates bearing a maytansine payload.

Indexed as

ADCantibody-drug conjugateImmunogenic cell deathimmunooncologymaytansine

Identifiers

PMID30906660
PMCPMC6422391
OpenAlexW2914738006

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.