Evidence map›Paper›PMID 35612556›Full record

ArticleMolecular cancer research : MCR2022

Dependence on the MUC1-C Oncoprotein in Classic, Variant, and Non-neuroendocrine Small Cell Lung Cancer.

Atsushi Fushimi, Yoshihiro Morimoto, Satoshi Ishikawa, Nami Yamashita, Atrayee Bhattacharya, Tatsuaki Daimon, Hasan Rajabi, Caining Jin, Masayuki Hagiwara, Yota Yasumizu and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  8. Review
  9. Article
  10. Review
  11. Dependence on MUC1-C in Progression of Neuroendocrine Prostate Cancer.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Emergence ofCancers · 2022
    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

17 authors at 3 institutions in 1 country.

Atsushi Fushimi *Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-1328-8835
Yoshihiro Morimoto *Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Satoshi IshikawaDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Nami YamashitaDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Atrayee BhattacharyaDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Tatsuaki DaimonDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Hasan RajabiDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Caining JinDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Masayuki HagiwaraDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Yota YasumizuDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1725-6454
Zhou LuanDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Wenhao SuoDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-3106-2605
Kwok-Kin WongLaura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, New York.ORCID 0000-0001-6323-235X
Henry WithersDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0002-9746-9352
Song LiuDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Mark D LongDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0003-1120-8176
Donald KufeDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5743-8888
Dana-Farber Cancer Institute · USRoswell Park Comprehensive Cancer Center · USNYU Langone Health · US

Funding

Immuno-Oncology Translation Network: Data Management and Resource-Sharing Center at RPCIU24CA232979 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI HUTSON, ALAN DAVID, LIU, SONG · 2018 to 2024
$8.9M
Targeting the MUC1-C Oncoprotein in Triple-Negative Breast CancerR01CA097098 · NCI · DANA-FARBER CANCER INSTITUTE · PI DONALD W. KUFE · 2002 to 2026
$8.8M
YAP1 and RB1 cooperate to regulate lung cancer lineage plasticity and therapeutic resistanceU24CA274159 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI DAVID W. GOODRICH, Alan David Hutson · 2022 to 2026
$8.5M
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
MUC1-C is a Target for Reversing Immune Evasion and Resistance to ImmunotherapiesU01CA233084 · NCI · DANA-FARBER CANCER INST · PI KUFE, DONALD W., WONG, KWOK KIN · 2018 to 2022
$4.1M
NCI NIH HHS R01 CA097098NCI NIH HHS R01 CA166480NCI NIH HHS U01 CA233084NCI NIH HHS U24 CA232979NCI NIH HHS U24 CA274159
6 · The paper itself

Abstract

Small cell lung cancer (SCLC) is a recalcitrant malignancy defined by subtypes on the basis of differential expression of the ASCL1, NEUROD1, and POU2F3 transcription factors. The MUC1-C protein is activated in pulmonary epithelial cells by exposure to environmental carcinogens and promotes oncogenesis; however, there is no known association between MUC1-C and SCLC. We report that MUC1-C is expressed in classic neuroendocrine (NE) SCLC-A, variant NE SCLC-N and non-NE SCLC-P cells and activates the MYC pathway in these subtypes. In SCLC cells characterized by NE differentiation and DNA replication stress, we show that MUC1-C activates the MYC pathway in association with induction of E2F target genes and dysregulation of mitotic progression. Our studies further demonstrate that the MUC1-C→MYC pathway is necessary for induction of (i) NOTCH2, a marker of pulmonary NE stem cells that are the proposed cell of SCLC origin, and (ii) ASCL1 and NEUROD1. We also show that the MUC1-C→MYC→NOTCH2 network is necessary for self-renewal capacity and tumorigenicity of NE and non-NE SCLC cells. Analyses of datasets from SCLC tumors confirmed that MUC1 expression in single SCLC cells significantly associates with activation of the MYC pathway. These findings demonstrate that SCLC cells are addicted to MUC1-C and identify a potential new target for SCLC treatment. IMPLICATIONS: This work uncovers addiction of SCLC cells to MUC1-C, which is a druggable target that could provide new opportunities for advancing SCLC treatment.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeuroendocrine CellsSmall Cell Lung CarcinomaCell Line, TumorGene Expression Regulation, NeoplasticHumansMucin-1Oncogene ProteinsMUC1 protein, humanMucin-1Oncogene Proteins

Identifiers

PMID35612556
PMCPMC9437561
OpenAlexW4282939065

What OpenQuestion holds

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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.