Evidence map›Paper›PMID 30254093›Full record

ArticleCancer discovery2018

AMG 176, a Selective MCL1 Inhibitor, Is Effective in Hematologic Cancer Models Alone and in Combination with Established Therapies.

Sean Caenepeel, Sean P Brown, Brian Belmontes, Gordon Moody, Kathleen S Keegan, Danny Chui, Douglas A Whittington, Xin Huang, Leszek Poppe, Alan C Cheng and 28 more

Erratum issuedOpen access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Cancer discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 221 papers.

0numbers the graph read from it
0cells of the map it votes in
221citing papers in PubMed
18.4field-weighted citation impact, top 1% 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

221 citing papers in PubMed, 409 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Compressing Chemistry Reveals Functional Groups.Journal of chemical information and modeling · 2026
    Article
  7. Review
  8. Article
  9. Saga of MCL1 inhibitors in multiple myeloma.Biochemical pharmacology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Hematopoietic Stem Cell Hierarchies as Novel Biomarkers of Drug Response in Myelodysplastic Syndromes and Acute Myeloid Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
  19. Article
  20. Review

161 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 5 institutions in 3 countries.

Sean CaenepeelOncology Research, Amgen Inc., Thousand Oaks, California.ORCID 0000-0002-8218-002X
Sean P BrownAmgen Research, Amgen Inc., Thousand Oaks, California. phughes@amgen.com seanpomeroy@yahoo.com.ORCID 0000-0002-8218-002X
Brian BelmontesOncology Research, Amgen Inc., Thousand Oaks, California.
Gordon MoodyOncology Research, Amgen Inc., Thousand Oaks, California.
Kathleen S KeeganOncology Research, Amgen Inc., Seattle, Washington.
Danny ChuiAmgen Research, Amgen Inc., Thousand Oaks, California.
Douglas A WhittingtonMolecular Engineering, Amgen Inc., Cambridge, Massachusetts.
Xin HuangMolecular Engineering, Amgen Inc., Cambridge, Massachusetts.ORCID 0000-0002-3101-4873
Leszek PoppeAmgen Research, Amgen Inc., Thousand Oaks, California.
Alan C ChengMolecular Engineering, Amgen Inc., South San Francisco, California.
Mario CardozoMolecular Engineering, Amgen Inc., South San Francisco, California.
Jonathan HouzeAmgen Research, Amgen Inc., Cambridge, Massachusetts.
Yunxiao LiAmgen Research, Amgen Inc., South San Francisco, California.
Brian LucasAmgen Research, Amgen Inc., South San Francisco, California.
Nick A ParasAmgen Research, Amgen Inc., South San Francisco, California.ORCID 0000-0001-5742-4056
Xianghong WangAmgen Research, Amgen Inc., South San Francisco, California.
Joshua P TaygerlyAmgen Research, Amgen Inc., South San Francisco, California.
Marc VimolratanaAmgen Research, Amgen Inc., South San Francisco, California.
Manuel ZancanellaAmgen Research, Amgen Inc., South San Francisco, California.
Liusheng ZhuAmgen Research, Amgen Inc., South San Francisco, California.
Elaina CajulisOncology Research, Amgen Inc., Thousand Oaks, California.
Tao OsgoodOncology Research, Amgen Inc., Thousand Oaks, California.
Jan SunOncology Research, Amgen Inc., Thousand Oaks, California.
Leah DamonDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-0863-0328
Regina K EganDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Patricia GreningerDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-9110-7695
Joseph D McClanaghanDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Jianan GongThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.
Donia MoujalledMalignant Haematology and Stem Cell Transplantation Service, Alfred Hospital, Melbourne, Australia; and Australian Centre for Blood Diseases, Monash University, Melbourne, Australia.
Giovanna PomilioMalignant Haematology and Stem Cell Transplantation Service, Alfred Hospital, Melbourne, Australia; and Australian Centre for Blood Diseases, Monash University, Melbourne, Australia.
Pedro BeltranOncology Research, Amgen Inc., Thousand Oaks, California.
Cyril H BenesDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-8751-9707
Andrew W RobertsThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.ORCID 0000-0002-7341-5720
David C HuangThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.ORCID 0000-0002-3101-4873
Andrew WeiMalignant Haematology and Stem Cell Transplantation Service, Alfred Hospital, Melbourne, Australia; and Australian Centre for Blood Diseases, Monash University, Melbourne, Australia.
Jude CanonOncology Research, Amgen Inc., Thousand Oaks, California.
Angela CoxonOncology Research, Amgen Inc., Thousand Oaks, California.
Paul E HughesOncology Research, Amgen Inc., Thousand Oaks, California. phughes@amgen.com seanpomeroy@yahoo.com.
Amgen (United States) · USMassachusetts General Hospital · USThe Alfred Hospital · AUThe University of Melbourne · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prosurvival BCL2 family member MCL1 is frequently dysregulated in cancer. To overcome the significant challenges associated with inhibition of MCL1 protein-protein interactions, we rigorously applied small-molecule conformational restriction, which culminated in the discovery of AMG 176, the first selective MCL1 inhibitor to be studied in humans. We demonstrate that MCL1 inhibition induces a rapid and committed step toward apoptosis in subsets of hematologic cancer cell lines, tumor xenograft models, and primary patient samples. With the use of a human MCL1 knock-in mouse, we demonstrate that MCL1 inhibition at active doses of AMG 176 is tolerated and correlates with clear pharmacodynamic effects, demonstrated by reductions in B cells, monocytes, and neutrophils. Furthermore, the combination of AMG 176 and venetoclax is synergistic in acute myeloid leukemia (AML) tumor models and in primary patient samples at tolerated doses. These results highlight the therapeutic promise of AMG 176 and the potential for combinations with other BH3 mimetics. SIGNIFICANCE: AMG 176 is a potent, selective, and orally bioavailable MCL1 inhibitor that induces a rapid commitment to apoptosis in models of hematologic malignancies. The synergistic combination of AMG 176 and venetoclax demonstrates robust activity in models of AML at tolerated doses, highlighting the promise of BH3-mimetic combinations in hematologic cancers.

Identifiers

PMID30254093
OpenAlexW2892573863

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.