Evidence map›Paper›PMID 29661755›Full record

ArticleBlood advances2018

A CD123-targeting antibody-drug conjugate, IMGN632, designed to eradicate AML while sparing normal bone marrow cells.

Yelena Kovtun, Gregory E Jones, Sharlene Adams, Lauren Harvey, Charlene A Audette, Alan Wilhelm, Chen Bai, Lingyun Rui, Rassol Laleau, Fenghua Liu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

95 citing papers in PubMed, 1 synthesis or guideline pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Pivekimab Sunirine in Blastic Plasmacytoid Dendritic Cell Neoplasm.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
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35 more citing papers are in PubMed but not listed here.

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

17 authors at 1 institution in 1 country.

Yelena KovtunScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Gregory E JonesScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Sharlene AdamsScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Lauren HarveyScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Charlene A AudetteScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Alan WilhelmScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Chen BaiScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Lingyun RuiScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Rassol LaleauScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Fenghua LiuScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Olga AbScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Yulius SetiadyScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Nicholas C YoderScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Victor S GoldmacherScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Ravi V J ChariScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Jan PinkasScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
Thomas ChittendenScience, Technology, and Translation, ImmunoGen, Inc, Waltham MA.
ImmunoGen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outlook for patients with refractory/relapsed acute myeloid leukemia (AML) remains poor, with conventional chemotherapeutic treatments often associated with unacceptable toxicities, including severe infections due to profound myelosuppression. Thus there exists an urgent need for more effective agents to treat AML that confer high therapeutic indices and favorable tolerability profiles. Because of its high expression on leukemic blast and stem cells compared with normal hematopoietic stem cells and progenitors, CD123 has emerged as a rational candidate for molecularly targeted therapeutic approaches in this disease. Here we describe the development and preclinical characterization of a CD123-targeting antibody-drug conjugate (ADC), IMGN632, that comprises a novel humanized anti-CD123 antibody G4723A linked to a recently reported DNA mono-alkylating payload of the indolinobenzodiazepine pseudodimer (IGN) class of cytotoxic compounds. The activity of IMGN632 was compared with X-ADC, the ADC utilizing the G4723A antibody linked to a DNA crosslinking IGN payload. With low picomolar potency, both ADCs reduced viability in AML cell lines and patient-derived samples in culture, irrespective of their multidrug resistance or disease status. However, X-ADC exposure was >40-fold more cytotoxic to the normal myeloid progenitors than IMGN632. Of particular note, IMGN632 demonstrated potent activity in all AML samples at concentrations well below levels that impacted normal bone marrow progenitors, suggesting the potential for efficacy in AML patients in the absence of or with limited myelosuppression. Furthermore, IMGN632 demonstrated robust antitumor efficacy in multiple AML xenograft models. Overall, these findings identify IMGN632 as a promising candidate for evaluation as a novel therapy in AML.

Indexed as

AnimalsCell Line, TumorCell SurvivalHematopoietic Stem CellsHeterograftsHumansImmunoconjugatesInterleukin-3 Receptor alpha SubunitLeukemia, Myeloid, AcuteMiceNeoplastic Stem CellsTumor Cells, CulturedIL3RA protein, humanImmunoconjugatesInterleukin-3 Receptor alpha Subunit

Identifiers

PMID29661755
PMCPMC5916008
OpenAlexW2800912743

What OpenQuestion holds

Textmetadata
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.