Evidence map›Paper›PMID 32870818›Full record

ReviewThe Journal of clinical investigation2020

HIFs, angiogenesis, and metabolism: elusive enemies in breast cancer.

Ellen C de Heer, Mathilde Jalving, Adrian L Harris

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed
17.0field-weighted citation impact, top 1% 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

204 citing papers in PubMed, 386 citations in OpenAlex.

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144 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

3 authors at 2 institutions in 2 countries.

Ellen C de HeerUniversity of Groningen, University Medical Center Groningen, Department of Medical Oncology, Groningen, Netherlands.
Mathilde JalvingUniversity of Groningen, University Medical Center Groningen, Department of Medical Oncology, Groningen, Netherlands.
Adrian L HarrisMolecular Oncology Laboratories, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.
University Medical Center Groningen · NLMRC Weatherall Institute of Molecular Medicine · GB

Funding

Cancer Research UK 18974Cancer Research UK A18974
6 · The paper itself

Abstract

Hypoxia-inducible factors (HIFs) and the HIF-dependent cancer hallmarks angiogenesis and metabolic rewiring are well-established drivers of breast cancer aggressiveness, therapy resistance, and poor prognosis. Targeting of HIF and its downstream targets in angiogenesis and metabolism has been unsuccessful so far in the breast cancer clinical setting, with major unresolved challenges residing in target selection, development of robust biomarkers for response prediction, and understanding and harnessing of escape mechanisms. This Review discusses the pathophysiological role of HIFs, angiogenesis, and metabolism in breast cancer and the challenges of targeting these features in patients with breast cancer. Rational therapeutic combinations, especially with immunotherapy and endocrine therapy, seem most promising in the clinical exploitation of the intricate interplay of HIFs, angiogenesis, and metabolism in breast cancer cells and the tumor microenvironment.

Indexed as

Neovascularization, PathologicAnimalsBasic Helix-Loop-Helix ProteinsBiomarkers, TumorBreast NeoplasmsFemaleHumansHypoxiaHypoxia-Inducible Factor 1, alpha SubunitModels, BiologicalPrognosisSignal TransductionTumor MicroenvironmentBasic Helix-Loop-Helix ProteinsBiomarkers, TumorHIF1A protein, humanHypoxia-Inducible Factor 1, alpha Subunit

Identifiers

PMID32870818
PMCPMC7524491
OpenAlexW3082891477

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.