Evidence map›Paper›PMID 26571129›Full record

ArticleAutophagy2015

Function from within: Autophagy induction by HPSE/heparanase--new possibilities for intervention.

Neta Ilan, Anna Shteingauz, Israel Vlodavsky

Open access · bronzeAbstract readComment
In one paragraph

Article in Autophagy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Heparanase: From basic research to therapeutic applications in cancer and inflammation.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2016
    Review
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Neta Ilana Cancer and Vascular Biology Research Center; the Bruce Rappaport Faculty of Medicine ; Technion ; Haifa , Israel.
Anna Shteingauza Cancer and Vascular Biology Research Center; the Bruce Rappaport Faculty of Medicine ; Technion ; Haifa , Israel.
Israel Vlodavskya Cancer and Vascular Biology Research Center; the Bruce Rappaport Faculty of Medicine ; Technion ; Haifa , Israel.
Technion – Israel Institute of Technology · ILRappaport Family Institute for Research in the Medical Sciences · IL

Funding

Regulation of heparanase in cancer progressionR01CA106456 · NCI · TECHNION-ISRAEL INSTITUTE OF TECHNOLOGY · PI VLODAVSKY, ISRAEL · 2004 to 2013
$1.7M
NCI NIH HHS CA106456
6 · The paper itself

Abstract

HPSE (heparanase) is the predominant enzyme in mammals capable of cleaving heparan sulfate, an activity highly implicated in cellular invasion and tumor metastasis. HPSE expression is induced in many types of cancer and increased HPSE levels are most often associated with increased tumor metastasis and reduced patient survival post operation. In addition, HPSE induction is associated with progression of the primary tumors but the mechanism(s) underlying tumor expansion by HPSE have not been sufficiently resolved. Our results establish a role for heparanase in modulating autophagy in normal and malignant cells, thereby conferring growth advantages as well as resistance to chemotherapy.

Indexed as

AnimalsAutophagyFemaleGlucuronidaseHumansNeoplasm ProteinsGlucuronidaseNeoplasm ProteinsautophagychemoresistanceheparanaseMTORC1p70 S6-kinasetumor growth

Identifiers

PMID26571129
PMCPMC4835213
OpenAlexW2205725379

What OpenQuestion holds

Textmetadata
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.