Evidence map›Paper›PMID 39886137›Full record

ArticleBMJ oncology2024

Novel proteomics-based plasma test for early detection of multiple cancers in the general population.

Bogdan Budnik, Hossein Amirkhani, Mohammad H Forouzanfar, Ashkan Afshin

Abstract read
In one paragraph

Article in BMJ oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  6. Special Issue "Immunomodulatory Molecules in Cancer".International journal of molecular sciences · 2026
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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

4 authors.

Bogdan BudnikNovelna Inc, Palo Alto, California, USA.
Hossein AmirkhaniNovelna Inc, Palo Alto, California, USA.
Mohammad H ForouzanfarNovelna Inc, Palo Alto, California, USA.
Ashkan AfshinNovelna Inc, Palo Alto, California, USA.ORCID 0000-0001-6239-8809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Early detection of cancer is crucial for reducing the global burden of cancer, but effective screening tests for many cancers do not exist. This study aimed to develop a novel proteome-based multi-cancer screening test that can detect early-stage cancers with high accuracy. Methods and analysis: We collected plasma samples from 440 individuals, healthy and diagnosed with 18 early-stage solid tumours. Using proximity extension assay, we measured more than 3000 high-abundance and low-abundance proteins in each sample. Then, using a multi-step statistical approach, we identified a limited set of sex-specific proteins that could detect early-stage cancers and their tissue of origin with high accuracy. Results: Our sex-specific cancer detection panels consisting of 10 proteins showed high accuracy for both males (area under the curve (AUC): 0.98, 95% CI 0.96, 1) and females (AUC: 0.983, 95% CI 0.95, 1.00). At stage I and at the specificity of 99%, our panels were able to identify 93% (95% CI 79%, 100%) of cancers among males and 84% (95% CI 68%, 100%) of cancers among females. Our sex-specific localisation panels consisted of 150 proteins and were able to identify the tissue of origin of most cancers in more than 80% of cases. The analysis of the plasma concentrations of proteins selected showed that almost all the proteins were in the low-concentration part of the human plasma proteome. Conclusion: The proteome-based screening test showed promising performance compared with other technologies and could be a starting point for developing a new generation of screening tests for the early detection of cancer.

Indexed as

BiomarkersCancer screening

Identifiers

PMID39886137
PMCPMC11235013

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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.