Evidence map›Paper›PMID 30479697›Full record

ArticleOncotarget2018

Loss of TXNIP enhances peritoneal metastasis and can be abrogated by dual TORC1/2 inhibition.

Douglas Spaeth-Cook, Mark Burch, Robin Belton, Bryce Demoret, Nicholas Grosenbacher, Jason David, Colin Stets, David Cohen, Reena Shakya, John L Hays and 1 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 82% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The senescence-associated secretory phenotype in ovarian cancer dissemination.American journal of physiology. Cell physiology · 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

11 authors at 2 institutions in 1 country.

Douglas Spaeth-CookDepartment of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Mark BurchDepartment of Biostatistics, The Ohio State University, Columbus, OH 43210, USA.
Robin BeltonDepartment of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Bryce DemoretDepartment of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Nicholas GrosenbacherDepartment of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Jason DavidDepartment of Biostatistics, The Ohio State University, Columbus, OH 43210, USA.
Colin StetsDepartment of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
David CohenDepartment of Pathology, Anatomic Pathology Division, The Ohio State University, Columbus, OH 43210, USA.
Reena ShakyaJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
John L Hays *Department of Internal Medicine, Division of Medical Oncology, The Ohio State University, Columbus, OH 43210, USA.
James L Chen *Department of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
The Ohio State University · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peritoneal metastasis (PM) is a debilitating consequence of multiple cancers. As cancer cells lose tonic signaling related to attachment dependence, critical morphologic shifts result in alteration of the transcriptome. Identifying key genes associated with this transformation may lead to targeted therapies for this devastating complication. TC71, CHLA9, PANC1, YOU and HEYA8 cell lines were grown as tumor spheroids in polyHEMA coated plates. Temporal profiling of transcriptomic alterations over 72 hrs was used to develop a comprehensive PM model. We identified transcriptomic outliers using Gaussian mixtures model clustering to identify drivers of spheroid formation. Outliers were validated in The Cancer Genome Atlas (TCGA) and an ovarian tissue microarray (TMA) and by modulation in ovarian cancer models

Indexed as

carcinomatosisperitoneal diseasesarcomatosisTXNIP

Identifiers

PMID30479697
PMCPMC6235015
OpenAlexW2898659887

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.