Evidence map›Paper›PMID 25576083›Full record

ArticleCancer research2015

Redundancy: a critical obstacle to improving cancer therapy.

Orit Lavi

Abstract read
In one paragraph

Article in Cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Extraction of pH-Dependent DNA-Binding Anti-Tumoral Peptides fromPharmaceuticals (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Understanding and overcoming multidrug resistance in cancer.Nature reviews. Clinical oncology · 2025
    Review
  7. Article
  8. Review
  9. Anticancer drugs: How to select small molecule combinations?Trends in pharmacological sciences · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Development of a TNF-α-mediated Trojan Horse for bacteria-based cancer therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  18. Article
  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

1 author.

Orit LaviLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland. orit.lavi@nih.gov.

Funding

Predicting the probabilistic complex invasive map of GBM cellsZIABC011758 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LAVI, ORIT · 2017 to 2021
$1.7M
Intramural NIH HHS ZIA BC011758
6 · The paper itself

Abstract

A system characterized by redundancy has various elements that are able to act in the same biologic or dynamic manner, where the inhibition of one of those elements has no significant effect on the global biologic outcome or on the system's dynamic behavior. Methods that aim to predict the effectiveness of cancer therapies must include evolutionary and dynamic features that would change the static view that is widely accepted. Here, we explore several important issues about mechanisms of redundancy, heterogeneity, biologic importance, and drug resistance and describe methodologic challenges that, if overcome, would significantly contribute to cancer research.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsDrug Resistance, NeoplasmHumansMiceNeoplasms

Identifiers

PMID25576083
PMCPMC6250436

What OpenQuestion holds

Textmetadata
LicenceTDM
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.