Evidence map›Paper›PMID 28977902›Full record

ArticleOncotarget2017

ONC201 selectively induces apoptosis in cutaneous T-cell lymphoma cells via activating pro-apoptotic integrated stress response and inactivating JAK/STAT and NF-κB pathways.

Xiao Ni, Xiang Zhang, Cheng-Hui Hu, Timothy Langridge, Rohinton S Tarapore, Joshua E Allen, Wolfgang Oster, Madeleine Duvic

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Targeting apoptotic pathways for cancer therapy.The Journal of clinical investigation · 2024
    Review
  6. Review
  7. Article
  8. NewCells · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Targeting the PI3K/AKT/mTOR/NFκB Axis in Ovarian Cancer.Journal of cellular immunology · 2020
    Article
  18. Article
  19. Article
  20. 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.

Xiao NiDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xiang ZhangDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Cheng-Hui HuDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Timothy LangridgeDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rohinton S TaraporeOncoceutics, Inc., Philadelphia, PA, USA.
Joshua E AllenOncoceutics, Inc., Philadelphia, PA, USA.
Wolfgang OsterOncoceutics, Inc., Philadelphia, PA, USA.
Madeleine DuvicDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

Cutaneous T-cell lymphomas (CTCLs) are extremely symptomatic and still incurable, and more effective and less toxic therapies are urgently needed. ONC201, an imipridone compound, has shown efficacy in pre-clinical studies in multiple advanced cancers. This study was to evaluate the anti-tumor activity of ONC201 on CTCL cells. The effect of ONC201 on the cell growth and apoptosis were evaluated in CTCL cell lines (n=8) and primary CD4

Indexed as

cancerNHLONC201TIC10TRAIL

Identifiers

PMID28977902
PMCPMC5617462

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.