Evidence map›Paper›PMID 34069985›Full record

ArticleCancers2021

Discovery and Evaluation of Protein Biomarkers as a Signature of Wellness in Late-Stage Cancer Patients in Early Phase Clinical Trials.

Bethany Geary, Erin Peat, Sarah Dransfield, Natalie Cook, Fiona Thistlethwaite, Donna Graham, Louise Carter, Andrew Hughes, Matthew G Krebs, Anthony D Whetton

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

10 authors at 2 institutions in 1 country.

Bethany GearyStoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NQ, UK.ORCID 0000-0002-5592-5532
Erin PeatThe Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK.
Sarah DransfieldThe Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK.
Natalie CookThe Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK.ORCID 0000-0003-2606-1082
Fiona ThistlethwaiteDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-4832-7008
Donna GrahamThe Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK.
Louise CarterDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Andrew HughesDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Matthew G KrebsDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Anthony D WhettonStoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NQ, UK.ORCID 0000-0002-1098-3878
Manchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

Bloodwise 19007Cancer Research UK A20465Cancer Research UK C5759/A25254Medical Research Council MR/M008959/1Medical Research Council MR/N00583X/1
6 · The paper itself

Abstract

TARGET (tumour characterisation to guide experimental targeted therapy) is a cancer precision medicine programme focused on molecular characterisation of patients entering early phase clinical trials. Performance status (PS) measures a patient's ability to perform a variety of activities. However, the quality of present algorithms to assess PS is limited and based on qualitative clinician assessment. Plasma samples from patients enrolled into TARGET were analysed using the mass spectrometry (MS) technique: sequential window acquisition of all theoretical fragment ion spectra (SWATH)-MS. SWATH-MS was used on a discovery cohort of 55 patients to differentiate patients into either a good or poor prognosis by creation of a Wellness Score (WS) that showed stronger prediction of overall survival (

Indexed as

biomarkerscancerproteomicsswath

Identifiers

PMID34069985
PMCPMC8157875
OpenAlexW3161555710

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.