Evidence map›Paper›PMID 32300280›Full record

ArticleSarcoma2020

Induction of Myogenic Differentiation Improves Chemosensitivity of Chemoresistant Cells in Soft-Tissue Sarcoma Cell Lines.

Lucy E Dawson, Luca D'Agostino, Abraham A Hakim, Richard D Lackman, Spencer A Brown, Richard B Sensenig, Zeus A Antonello, Igor I Kuzin

Open access · hybridAbstract read
In one paragraph

Article in Sarcoma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 2 institutions in 1 country.

Lucy E DawsonCooper University Hospital, Camden, NJ, USA.
Luca D'AgostinoCooper University Hospital, Camden, NJ, USA.
Abraham A HakimCooper Medical School of Rowan University, Camden, NJ, USA.
Richard D LackmanCooper University Hospital, Camden, NJ, USA.
Spencer A BrownCooper University Hospital, Camden, NJ, USA.
Richard B SensenigCooper University Hospital, Camden, NJ, USA.
Zeus A AntonelloCooper University Hospital, Camden, NJ, USA.ORCID https://orcid.org/0000-0002-5933-6794
Igor I KuzinCooper University Hospital, Camden, NJ, USA.ORCID https://orcid.org/0000-0003-3469-5253
Cooper University Hospital · USCooper Medical School of Rowan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhabdomyosarcoma (RMS) and rhabdoid tumors (RT) are rare soft-tissue malignancies with the highest incidence in infants, children, and adolescents. Advanced, recurrent, and/or metastatic RMS and RT exhibit poor response to treatment. One of the main mechanisms behind resistance to treatment is believed to be intratumoral heterogeneity. In this study, we investigated the myogenic determination factor 1 (MYOD1) and Noggin (NOG) markers in an embryonal RMS (ERMS) cell line and an RT cell line and the differential response of the MYOD1 and NOG expressing subpopulations to chemotherapy. Importantly, we found that these markers together identify a subpopulation of cells (MYOD1+ NOG+ cells) with primary resistance to Vincristine and Doxorubicin, two commonly used chemotherapies for ERMS and RT. The chemoresistant MYOD1+ NOG+ cells express markers of undifferentiated cells such as myogenin and ID1. Combination of Vincristine with TPA/GSK126, a drug combination shown to induce differentiation of RMS cell lines, is able to partially overcome MYOD1/NOG cells chemoresistance.

Identifiers

PMID32300280
PMCPMC7136814
OpenAlexW3013670829

What OpenQuestion holds

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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.