Evidence map›Paper›PMID 28643330›Full record

ArticleBritish journal of haematology2017

MUC1-C is a target in lenalidomide resistant multiple myeloma.

Li Yin, Ashujit Tagde, Reddy Gali, Yu-Tzu Tai, Teru Hideshima, Kenneth Anderson, David Avigan, Donald Kufe

Open access · bronzeAbstract read
In one paragraph

Article in British journal of haematology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. The multifaceted role of MUC1 in tumor therapy resistance.Clinical and experimental medicine · 2023
    Review
  4. Review
  5. Mucin1 and Mucin16: Therapeutic Targets for Cancer Therapy.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
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

8 authors at 3 institutions in 1 country.

Li YinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Ashujit TagdeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Reddy GaliDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Yu-Tzu TaiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-6199-3569
Teru HideshimaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Kenneth AndersonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
David AviganBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Donald KufeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-5743-8888
Dana-Farber Cancer Institute · USBeth Israel Deaconess Medical Center · USHarvard University · US

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
Targeting Myeloma Cell-Host Bone Marrow InteractionsP01CA078378 · NCI · DANA-FARBER CANCER INSTITUTE · PI RITZ, JEROME · 1998 to 2014
$26.2M
Targeting the MUC1-C Oncoprotein in Triple-Negative Breast CancerR01CA097098 · NCI · DANA-FARBER CANCER INSTITUTE · PI DONALD W. KUFE · 2002 to 2026
$8.8M
MUC1-C Oncoprotein Evades Immune Destruction in Non-small Cell Lung CancerR01CA166480 · NCI · DANA-FARBER CANCER INST · PI KUFE, DONALD W., WONG, KWOK KIN · 2012 to 2021
$6.3M
NCI NIH HHS P01 CA078378NCI NIH HHS P50 CA100707NCI NIH HHS R01 CA097098NCI NIH HHS R01 CA166480
6 · The paper itself

Abstract

Lenalidomide (LEN) acts directly on multiple myeloma (MM) cells by inducing cereblon-mediated degradation of interferon regulatory factor 4, Ikaros (IKZF)1 and IKZF3, transcription factors that are essential for MM cell survival. The mucin 1 (MUC1) C-terminal transmembrane subunit (MUC1-C) oncoprotein is aberrantly expressed by MM cells and protects against reactive oxygen species (ROS)-mediated MM cell death. The present studies demonstrate that targeting MUC1-C with GO-203, a cell-penetrating peptide inhibitor of MUC1-C homodimerization, is more than additive with LEN in downregulating the WNT/β-catenin pathway, suppressing MYC, and inducing late apoptosis/necrosis. We show that the GO-203/LEN combination acts by synergistically increasing ROS and, in turn, suppressing β-catenin. LEN resistance has been linked to activation of the WNT/β-catenin→CD44 pathway. In this regard, our results further demonstrate that targeting MUC1-C is effective against LEN-resistant MM cells. Moreover, GO-203 resensitized LEN-resistant MM cells to LEN treatment in association with suppression of β-catenin and CD44. Targeting MUC1-C also resulted in downregulation of CD44 on the surface of primary MM cells. These findings, and the demonstration that expression of MUC1 and CD44 significantly correlate in microarrays from primary MM cells, provide support for combining GO-203 with LEN in the treatment of MM and in LEN-resistance.

Indexed as

Antineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsApoptosisComputational BiologyDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansHyaluronan ReceptorsLenalidomideMolecular Targeted TherapyMucin-1Multiple MyelomaOxidation-ReductionPeptidesReactive Oxygen SpeciesThalidomideAntineoplastic Agents(arginine)9-cysteinyl-glutaminyl-cysteinyl-arginyl-arginyl-lysyl-asparagineCD44 protein, humanHyaluronan ReceptorsLenalidomideMUC1 protein, humanMucin-1PeptidesReactive Oxygen SpeciesThalidomideCD44lenalidomideMUC1multiple myelomaMYC

Identifiers

PMID28643330
PMCPMC5591051
OpenAlexW2723748116

What OpenQuestion holds

Textmetadata
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.