Evidence map›Paper›PMID 31186525›Full record

ArticleBritish journal of cancer2019

Plasma total cell-free DNA is a prognostic biomarker of overall survival in metastatic solid tumour patients.

Ida Viller Tuxen, Lise Barlebo Ahlborn, Morten Mau-Soerensen, Kristoffer Staal Rohrberg, Finn Cilius Nielsen, Olga Oestrup, Christina Westmose Yde, Ivan Richter Vogelius, Ulrik Lassen

Abstract read
In one paragraph

Article in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

9 authors.

Ida Viller TuxenThe Phase I Unit, Department of Oncology, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Lise Barlebo AhlbornThe Phase I Unit, Department of Oncology, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Morten Mau-SoerensenThe Phase I Unit, Department of Oncology, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Kristoffer Staal RohrbergThe Phase I Unit, Department of Oncology, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Finn Cilius NielsenCenter for Genomic Medicine, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Olga OestrupCenter for Genomic Medicine, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Christina Westmose YdeCenter for Genomic Medicine, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Ivan Richter VogeliusSection of Radiotherapy, Department of Oncology, Copenhagen University, Rigshospitalet, Copenhagen, Denmark.
Ulrik LassenThe Phase I Unit, Department of Oncology, Copenhagen University, Rigshospitalet, Copenhagen, Denmark. Ulrik.lassen@regionh.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelecting patients for early clinical trials is a challenging process and clinicians lack sufficient tools to predict overall survival (OS). Circulating cell-free DNA (cfDNA) has recently been shown to be a promising prognostic biomarker. The aim of this study was to investigate whether baseline cfDNA measurement could improve the prognostic information of the Royal Marsden Hospital (RMH) score.

methodsSolid tumour patients referred for phase I trials were included in the Copenhagen Personalized Oncology (CoPPO) programme. Baseline characteristics were collected prospectively, including the RMH prognostic score, Eastern Cooperative Oncology Group (ECOG) performance status and concentration of cfDNA per millilitre plasma. Cox proportional hazards model was used to assess the prognostic value of baseline variables.

resultsPlasma cfDNA concentration was quantifiable in 302 patients out of a total of 419 included in the study period of 2 years and 5 months. The RMH score was confirmed to be associated with OS. Cell-free DNA was shown to be an independent prognostic marker of OS and improved the risk model, including RMH, performance status and age. Furthermore, both plasma cfDNA concentration and RMH score were associated with treatment allocation (p < 0.00001).

conclusionOur model based on RMH score, age, ECOG performance status and cfDNA improved prediction of OS and constitutes a clinically valuable tool when selecting patients for early clinical trials. An interactive version of the prognostic model is published on http://bit.ly/phase1survival .

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCell-Free Nucleic AcidsFemaleHumansMaleMiddle AgedNeoplasmsPrognosisBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID31186525
PMCPMC6738043

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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.