Evidence map›Paper›PMID 21408099›Full record

ArticlePloS one2011

Drug inhibition profile prediction for NFκB pathway in multiple myeloma.

Huiming Peng, Jianguo Wen, Hongwei Li, Jeff Chang, Xiaobo Zhou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Clinical and biological significance ofCancer biology & therapy · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Computational systems biology in cancer brain metastasis.Frontiers in bioscience (Scholar edition) · 2016
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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 2 countries.

Huiming PengDepartment of Radiology, The Methodist Hospital Research Institute and Weill Cornell Medical College, Houston, Texas, United States of America.
Jianguo Wen
Hongwei Li
Jeff Chang
Xiaobo Zhou
Cornell University · USChina University of Geosciences · CN

Funding

System Biology Approach for Signaling Transduction Study of Complex PhenotypesR01LM010185 · NLM · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO, ZU, YOULI · 2009 to 2012
$1.3M
NLM NIH HHS 1R01LM010185-01NLM NIH HHS R01 LM010185
6 · The paper itself

Abstract

Nuclear factor κB (NFκB) activation plays a crucial role in anti-apoptotic responses in response to the apoptotic signaling during tumor necrosis factor (TNFα) stimulation in Multiple Myeloma (MM). Although several drugs have been found effective for the treatment of MM by mainly inhibiting NFκB pathway, there are not any quantitative or qualitative results of comparison assessment on inhibition effect between different drugs either used alone or in combinations. Computational modeling is becoming increasingly indispensable for applied biological research mainly because it can provide strong quantitative predicting power. In this study, a novel computational pathway modeling approach is employed to comparably assess the inhibition effects of specific drugs used alone or in combinations on the NFκB pathway in MM and to predict the potential synergistic drug combinations.

Indexed as

Signal TransductionDrug SynergismHumansModels, BiologicalMultiple MyelomaNF-kappa BNF-kappa B

Identifiers

PMID21408099
PMCPMC3051063
OpenAlexW2019434626

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.