Evidence map›Paper›PMID 30643250›Full record

ArticleNature genetics2019

Molecular landmarks of tumor hypoxia across cancer types.

Vinayak Bhandari, Christianne Hoey, Lydia Y Liu, Emilie Lalonde, Jessica Ray, Julie Livingstone, Robert Lesurf, Yu-Jia Shiah, Tina Vujcic, Xiaoyong Huang and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 378 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
378citing papers in PubMed, 1 pooled it
31.1field-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

378 citing papers in PubMed, 1 synthesis or guideline pooled it, 706 citations in OpenAlex.

  1. Pooled it
  2. Long-term Survival and Molecular Biomarker Evaluation of a Phase II Cetuximab and Nivolumab Clinical Trial in Recurrent/Metastatic Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Trial
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318 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 5 institutions in 4 countries.

Vinayak BhandariDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0265-0835
Christianne HoeyDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-9054-4049
Lydia Y LiuDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Emilie LalondeDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Jessica RayDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-5413-4739
Julie LivingstoneInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-8424-3768
Robert LesurfInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Yu-Jia ShiahInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-4989-2794
Tina VujcicSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Xiaoyong HuangSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Shadrielle M G EspirituInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Lawrence E HeislerInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Fouad YousifInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Vincent HuangInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6504-179X
Takafumi N YamaguchiInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-1082-3871
Cindy Q YaoInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Veronica Y SabelnykovaInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Michael FraserInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Melvin L K ChuaDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Theodorus van der KwastLaboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.
Stanley K LiuDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-6851-0857
Paul C BoutrosDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. pboutros@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-0553-7520
Robert G BristowDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. robert.bristow@manchester.ac.uk.ORCID http://orcid.org/0000-0002-8553-9544
Ontario Institute for Cancer Research · CASunnybrook Health Science Centre · CADuke-NUS Medical School · SGUniversity Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many primary-tumor subregions have low levels of molecular oxygen, termed hypoxia. Hypoxic tumors are at elevated risk for local failure and distant metastasis, but the molecular hallmarks of tumor hypoxia remain poorly defined. To fill this gap, we quantified hypoxia in 8,006 tumors across 19 tumor types. In ten tumor types, hypoxia was associated with elevated genomic instability. In all 19 tumor types, hypoxic tumors exhibited characteristic driver-mutation signatures. We observed widespread hypoxia-associated dysregulation of microRNAs (miRNAs) across cancers and functionally validated miR-133a-3p as a hypoxia-modulated miRNA. In localized prostate cancer, hypoxia was associated with elevated rates of chromothripsis, allelic loss of PTEN and shorter telomeres. These associations are particularly enriched in polyclonal tumors, representing a constellation of features resembling tumor nimbosus, an aggressive cellular phenotype. Overall, this work establishes that tumor hypoxia may drive aggressive molecular features across cancers and shape the clinical trajectory of individual tumors.

Indexed as

AllelesCell Line, TumorChromothripsisGene Expression ProfilingGene Expression Regulation, NeoplasticGenomic InstabilityHumansHypoxiaMaleMicroRNAsPC-3 CellsProstatic NeoplasmsPTEN PhosphohydrolaseTelomereTumor HypoxiaMicroRNAsPTEN Phosphohydrolase

Identifiers

PMID30643250
OpenAlexW2908755714

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.