Evidence map›Paper›PMID 28415662›Full record

ReviewOncotarget2017

The hypoxia signalling pathway in haematological malignancies.

Marta Irigoyen, Juan Carlos García-Ruiz, Edurne Berra

Open access · diamondAbstract readReview
In one paragraph

Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  6. Gene expression of carbonic anhydrase 9 (CA9) inJournal of medicine and life · 2022
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  12. Therapeutic Targeting of the Leukaemia Microenvironment.International journal of molecular sciences · 2021
    Review
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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

3 authors at 2 institutions in 1 country.

Marta IrigoyenCentro de Investigación Cooperativa en Biociencias CIC bioGUNE, Derio, Spain.
Juan Carlos García-RuizServicio de Hematología y Hemoterapia, BioCruces Health Research Institute, Hospital Universitario Cruces, Spain.
Edurne BerraCentro de Investigación Cooperativa en Biociencias CIC bioGUNE, Derio, Spain.
CIC bioGUNE · ESBioCruces Health research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haematological malignancies are tumours that affect the haematopoietic and the lymphatic systems. Despite the huge efforts to eradicate these tumours, the percentage of patients suffering resistance to therapies and relapse still remains significant. The tumour environment favours drug resistance of cancer cells, and particularly of cancer stem/initiating cells. Hypoxia promotes aggressiveness, metastatic spread and relapse in most of the solid tumours. Furthermore, hypoxia is associated with worse prognosis and resistance to conventional treatments through activation of the hypoxia-inducible factors. Haematological malignancies are not considered solid tumours, and therefore, the role of hypoxia in these diseases was initially presumed to be inconsequential. However, hypoxia is a hallmark of the haematopoietic niche. Here, we will review the current understanding of the role of both hypoxia and hypoxia-inducible factors in different haematological tumours.

Indexed as

Signal TransductionAnimalsBasic Helix-Loop-Helix ProteinsBone MarrowCell HypoxiaHematologic NeoplasmsHematopoietic Stem CellsHumansHypoxiaMolecular Targeted TherapyNeoplastic Stem CellsStem Cell NicheStromal CellsBasic Helix-Loop-Helix Proteinscancer stem cellshaematological cancershypoxiahypoxia-inducible factorsresistance

Identifiers

PMID28415662
PMCPMC5482702
OpenAlexW2594382910

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.