Evidence map›Paper›PMID 26986925›Full record

ArticleCell cycle (Georgetown, Tex.)2016

Novel indolyl-chalcones target stathmin to induce cancer cell death.

Barbara Wegiel, Yiqiang Wang, Mailin Li, Finith Jernigan, Lijun Sun

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2016. 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
0.9field-weighted citation impact, top 23% 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, 16 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Barbara Wegiela Department of Surgery , Beth Israel Deaconess Medical Center, Harvard Medical School , Boston , MA , USA.
Yiqiang Wanga Department of Surgery , Beth Israel Deaconess Medical Center, Harvard Medical School , Boston , MA , USA.
Mailin Lia Department of Surgery , Beth Israel Deaconess Medical Center, Harvard Medical School , Boston , MA , USA.
Finith Jernigana Department of Surgery , Beth Israel Deaconess Medical Center, Harvard Medical School , Boston , MA , USA.
Lijun Suna Department of Surgery , Beth Israel Deaconess Medical Center, Harvard Medical School , Boston , MA , USA.
Beth Israel Deaconess Medical Center · USCancer Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficacy of current therapies for advanced and metastatic cancers remains a challenge in clinical practice. We investigated the anti-cancer potency of 3 novel indoly-chalcones (CITs). Our results indicated the lead molecule CIT-026 (Formula = C20H16FNO) induced cell death in prostate and lung cancer cell lines at sub-micromolar concentration. CITs (CIT-026, CIT-214, CIT-223) lead to microtubule destabilization, cell death and low cell proliferation, which in part was dependent on stathmin (STMN1) expression. Knockdown of STMN1 with siRNA against STMN1 in part restored viability of cancer cells in response to CITs. Further, CIT-026 and CIT-223 blocked cancer cell invasion through matrigel-coated chambers. Mechanistically, CITs inhibited phosphorylation of STMN1 leading to STMN1 accumulation and mitotic catastrophe. In summary, we have synthetized novel anti-cancer CIT molecules and defined their mechanism of action in vitro.

Indexed as

Molecular Targeted TherapyBiopsyCell DeathCell Line, TumorChalconesHumansIndolesMicrotubulesNeoplasm InvasivenessNeoplasmsPhosphorylationSmall Molecule LibrariesStathminChalconesIndolesSmall Molecule LibrariesStathmincell deathinodyl-chalconesmitosisstathmin

Identifiers

PMID26986925
PMCPMC4889226
OpenAlexW2297896673

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.