Evidence map›Paper›PMID 34771508›Full record

ReviewCancers2021

Implications of TGFβ Signaling and CDK Inhibition for the Treatment of Breast Cancer.

Joseph T Decker, Jeffrey A Ma, Lonnie D Shea, Jacqueline S Jeruss

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Article
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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

4 authors at 1 institution in 1 country.

Joseph T DeckerDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-7914-4741
Jeffrey A MaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-9654-486X
Lonnie D SheaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-9296-9673
Jacqueline S JerussDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
University of Michigan · US

Funding

Chimeric Antigen Receptor T Cell Design Through Living Cell Systems BiologyK01EB028877 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DECKER, JOSEPH THOMAS · 2019 to 2022
$492k
NIBIB NIH HHS K01 EB028877
6 · The paper itself

Abstract

TGFβ signaling enacts tumor-suppressive functions in normal cells through promotion of several cell regulatory actions including cell-cycle control and apoptosis. Canonical TGFβ signaling proceeds through phosphorylation of the transcription factor, SMAD3, at the C-terminus of the protein. During oncogenic progression, this tumor suppressant phosphorylation of SMAD3 can be inhibited. Overexpression of cyclins D and E, and subsequent hyperactivation of cyclin-dependent kinases 2/4 (CDKs), are often observed in breast cancer, and have been associated with poor prognosis. The noncanonical phosphorylation of SMAD3 by CDKs 2 and 4 leads to the inhibition of tumor-suppressive function of SMAD3. As a result, CDK overactivation drives oncogenic progression, and can be targeted to improve clinical outcomes. This review focuses on breast cancer, and highlights advances in the understanding of CDK-mediated noncanonical SMAD3 phosphorylation. Specifically, the role of aberrant TGFβ signaling in oncogenic progression and treatment response will be examined to illustrate the potential for therapeutic discovery in the context of cyclins/CDKs and SMAD3.

Indexed as

breast cancerCDK inhibitorSMAD3TGFβ

Identifiers

PMID34771508
PMCPMC8582459
OpenAlexW3208334888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.