Evidence map›Paper›PMID 38404120›Full record

ArticleCancer medicine2024

Biomarkers of systemic inflammation provide additional prognostic stratification in cancers of unknown primary.

Svenja Harvey, Mark Stares, Julie-Anne Scott, Tharun Joseph Vattam Thottiyil, Alicia-Marie Conway, Rachel Haigh, Jackie Brown, Gillian Knowles, Sonali Dasgupta, Kai-Keen Shiu and 4 more

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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

14 authors.

Svenja HarveyUniversity of Edinburgh, Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, Western General Hospital, Edinburgh, UK.
Mark StaresUniversity of Edinburgh, Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, Western General Hospital, Edinburgh, UK.ORCID 0000-0002-5943-8440
Julie-Anne ScottExperimental Cancer Medicine Team (ECMT), The Christie NHS Foundation Trust, Manchester, UK.
Tharun Joseph Vattam ThottiyilUniversity College London Hospitals NHS Foundation Trust, London, UK.
Alicia-Marie ConwayThe University of Manchester, Cancer Research UK Manchester Institute, Manchester, UK.
Rachel HaighEdinburgh Cancer Centre, NHS Lothian, Western General Hospital, Edinburgh, UK.
Jackie BrownEdinburgh Cancer Centre, NHS Lothian, Western General Hospital, Edinburgh, UK.
Gillian KnowlesEdinburgh Cancer Centre, NHS Lothian, Western General Hospital, Edinburgh, UK.
Sonali DasguptaVelindre University NHS Trust, Cardiff, UK.
Kai-Keen ShiuUniversity College London Hospitals NHS Foundation Trust, London, UK.
Claire MitchellThe Christie NHS Foundation Trust, Manchester, UK.
Colin BarrieEdinburgh Cancer Centre, NHS Lothian, Western General Hospital, Edinburgh, UK.
Natalie CookExperimental Cancer Medicine Team (ECMT), The Christie NHS Foundation Trust, Manchester, UK.
Sally CliveEdinburgh Cancer Centre, NHS Lothian, Western General Hospital, Edinburgh, UK.

Funding

Cancer Research UK Edinburgh Centre at the Institute of Genetics and Cancer, University of Edinburgh
6 · The paper itself

Abstract

backgroundBiomarkers of systemic inflammation have been shown to predict outcomes in patients with cancer of unknown primary (CUP). We sought to validate these findings in patients with confirmed CUP (cCUP) and explore their role alongside existing clinicopathological prognostic categories. PATIENTS AND

methodsCUP oncologist from across the United Kingdom were invited to include patients with cCUP referred to their local CUP multidisciplinary team. Patient demographics, clinical, pathological and outcome data were recorded and analysed.

resultsData were available for 548 patients from four CUP services. 23% (n = 124) of patients met clinicopathological criteria for favourable-risk cCUP. On multivariate analysis c-reactive protein (CRP) (p < 0.001) and the Scottish Inflammatory Prognostic Score (SIPS: combining albumin and neutrophil count) (p < 0.001) were independently predictive of survival. CRP and SIPS effectively stratified survival in patients with both favourable-risk and poor-risk cCUP based on clinicopathological features.

conclusionsBiomarkers of systemic inflammation are reliable prognostic factors in patients with cCUP, regardless of clinicopathological subgroup. We recommend that CRP or SIPS are incorporated into routine clinical assessments of patients with cCUP as a tool to aid investigation and/or treatment decision-making across all groups. Established clinicopathological factors can then be used to inform management pathways and specific systemic anticancer therapy selection.

Indexed as

Neoplasms, Unknown PrimaryBiomarkersC-Reactive ProteinHumansInflammationPrognosisBiomarkersC-Reactive Proteincancer of unknown primaryc-reactive proteinprognosisScottish inflammatory prognostic scoresystemic anticancer therapy

Identifiers

PMID38404120
PMCPMC10895198

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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.