Evidence map›Paper›PMID 33619304›Full record

ArticleScientific reports2021

A prognostic model for colorectal cancer based on CEA and a 48-multiplex serum biomarker panel.

Kajsa Björkman, Sirpa Jalkanen, Marko Salmi, Harri Mustonen, Tuomas Kaprio, Henna Kekki, Kim Pettersson, Camilla Böckelman, Caj Haglund

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Kajsa BjörkmanResearch Programs Unit, Translational Cancer Medicine, University of Helsinki, Meilahti Hospital, Haartmaninkatu 4, PO Box 340, 00029 HUS, Helsinki, Finland. kajsa.bjorkman@helsinki.fi.
Sirpa JalkanenMediCity Research Laboratory and Institute of Biomedicine, University of Turku, Turku, Finland.
Marko SalmiMediCity Research Laboratory and Institute of Biomedicine, University of Turku, Turku, Finland.
Harri MustonenResearch Programs Unit, Translational Cancer Medicine, University of Helsinki, Meilahti Hospital, Haartmaninkatu 4, PO Box 340, 00029 HUS, Helsinki, Finland.
Tuomas KaprioResearch Programs Unit, Translational Cancer Medicine, University of Helsinki, Meilahti Hospital, Haartmaninkatu 4, PO Box 340, 00029 HUS, Helsinki, Finland.
Henna KekkiDepartment of Biochemistry, University of Turku, Turku, Finland.
Kim PetterssonDepartment of Biochemistry, University of Turku, Turku, Finland.
Camilla Böckelman *Research Programs Unit, Translational Cancer Medicine, University of Helsinki, Meilahti Hospital, Haartmaninkatu 4, PO Box 340, 00029 HUS, Helsinki, Finland.
Caj Haglund *Research Programs Unit, Translational Cancer Medicine, University of Helsinki, Meilahti Hospital, Haartmaninkatu 4, PO Box 340, 00029 HUS, Helsinki, Finland.
University of Helsinki · FIUniversity of Turku · FIHelsinki University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mortality in colorectal cancer (CRC) remains high, resulting in 860,000 deaths annually. Carcinoembryonic antigen is widely used in clinics for CRC patient follow-up, despite carrying a limited prognostic value. Thus, an obvious need exists for multivariate prognostic models. We analyzed 48 biomarkers using a multiplex immunoassay panel in preoperative serum samples from 328 CRC patients who underwent surgery at Helsinki University Hospital between 1998 and 2003. We performed a multivariate prognostic forward-stepping background model based on basic clinicopathological data, and a multivariate machine-learned prognostic model based on clinicopathological data and biomarker variables, calculating the disease-free survival using the value of importance score. From the 48 analyzed biomarkers, only IL-8 emerged as a significant prognostic factor for CRC patients in univariate analysis (HR 4.88; 95% CI 2.00-11.92; p = 0.024) after correcting for multiple comparisons. We also developed a multivariate model based on all 48 biomarkers using a random survival forest analysis. Variable selection based on a minimal depth and the value of importance yielded two tentative candidate CRC prognostic markers: IL-2Ra and IL-8. A multivariate prognostic model using machine-learning technologies improves the prognostic assessment of survival among surgically treated CRC patients.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBiomarkers, TumorCarcinoembryonic AntigenColorectal NeoplasmsCytokinesFemaleFinlandHumansImmunohistochemistryKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingBiomarkers, TumorCarcinoembryonic AntigenCytokines

Identifiers

PMID33619304
PMCPMC7900104
OpenAlexW3129837612

What OpenQuestion holds

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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.