Evidence map›Paper›PMID 22664915›Full record

ReviewRNA biology2012

The hallmarks of cancer: a long non-coding RNA point of view.

Tony Gutschner, Sven Diederichs

Abstract readReview
In one paragraph

Review in RNA biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,082 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,082citing 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

1,082 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Are RNA Therapies a Solid Foundation or a Frontier Yet to Be Conquered?International journal of molecular sciences · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Ubiquitin-conjugating Enzymes in Cancer.International journal of biological sciences · 2026
    Review
  17. Article
  18. Current computer-aided drug design · 2026
    Article
  19. Review
  20. Review

1,022 more citing papers are in PubMed but not listed here.

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

2 authors.

Tony GutschnerHelmholtz-University-Group "Molecular RNA Biology & Cancer", German Cancer Research Center DKFZ, Heidelberg, Germany.
Sven Diederichs

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of next generation sequencing methods and progress in transcriptome analysis, it became obvious that the human genome contains much more than just protein-coding genes. In fact, up to 70% of our genome is transcribed into RNA that does not serve as templates for proteins. In this review, we focus on the emerging roles of these long non-coding RNAs (lncRNAs) in the field of tumor biology. Long ncRNAs were found to be deregulated in several human cancers and show tissue-specific expression. Functional studies revealed a broad spectrum of mechanisms applied by lncRNAs such as HOTAIR, MALAT1, ANRIL or lincRNA-p21 to fulfill their functions. Here, we link the cellular processes influenced by long ncRNAs to the hallmarks of cancer and therefore provide an ncRNA point-of-view on tumor biology. This should stimulate new research directions and therapeutic options considering long ncRNAs as novel prognostic markers and therapeutic targets.

Indexed as

AnimalsCell DeathCell ProliferationCell Transformation, NeoplasticGene Expression Regulation, NeoplasticHumansNeoplasm InvasivenessNeoplasm MetastasisNeoplasmsNeovascularization, PathologicRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID22664915
PMCPMC3495743

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.