Evidence map›Paper›PMID 36831507›Full record

ArticleCancers2023

Sensitive Detection of Cell-Free Tumour DNA Using Optimised Targeted Sequencing Can Predict Prognosis in Gastro-Oesophageal Cancer.

Karin Wallander, Zahra Haider, Ashwini Jeggari, Hassan Foroughi-Asl, Anna Gellerbring, Anna Lyander, Athithyan Chozhan, Ollanta Cuba Gyllensten, Moa Hägglund, Valtteri Wirta and 3 more

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

13 authors.

Karin WallanderDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.ORCID 0000-0001-8166-9678
Zahra HaiderDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.ORCID 0000-0002-0759-3932
Ashwini JeggariScience for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.ORCID 0000-0002-7155-9050
Hassan Foroughi-AslDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
Anna GellerbringScience for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
Anna LyanderScience for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
Athithyan ChozhanDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
Ollanta Cuba GyllenstenDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
Moa HägglundScience for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.ORCID 0000-0003-3765-4342
Valtteri WirtaScience for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.ORCID 0000-0003-3811-5439
Magnus NordenskjöldDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
Mats LindbladDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, 14152 Huddinge, Sweden.
Emma ThamDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.ORCID 0000-0001-6079-164X

Funding

Region Stockholm FoUI-961732, SLL-500306, and SLL-581046Region Stockholm K2891-2016The Swedish Childhood Cancer Fund Barncancerfonden KP2021-0017, KP0009, TJ2021-0125 and TJ0054
6 · The paper itself

Abstract

In this longitudinal study, cell-free tumour DNA (a liquid biopsy) from plasma was explored as a prognostic biomarker for gastro-oesophageal cancer. Both tumour-informed and tumour-agnostic approaches for plasma variant filtering were evaluated in 47 participants. This was possible through sequencing of DNA from tissue biopsies from all participants and cell-free DNA from plasma sampled before and after surgery (n = 42), as well as DNA from white blood cells (n = 21) using a custom gene panel with and without unique molecular identifiers (UMIs). A subset of the plasma samples (n = 12) was also assayed with targeted droplet digital PCR (ddPCR). In 17/31 (55%) diagnostic plasma samples, tissue-verified cancer-associated variants could be detected by the gene panel. In the tumour-agnostic approach, 26 participants (59%) had cancer-associated variants, and UMIs were necessary to filter the true variants from the technical artefacts. Additionally, clonal haematopoietic variants could be excluded using the matched white blood cells or follow-up plasma samples. ddPCR detected its targets in 10/12 (83%) and provided an ultra-sensitive method for follow-up. Detectable cancer-associated variants in plasma correlated to a shorter overall survival and shorter time to progression, with a significant correlation for the tumour-informed approaches. In summary, liquid biopsy gene panel sequencing using a tumour-agnostic approach can be applied to all patients regardless of the presence of a tissue biopsy, although this requires UMIs and the exclusion of clonal haematopoietic variants. However, if sequencing data from tumour biopsies are available, a tumour-informed approach improves the value of cell-free tumour DNA as a negative prognostic biomarker in gastro-oesophageal cancer patients.

Indexed as

cancercell-free (tumour) DNAgastricliquid biopsyoesophagealprognostic biomarker

Identifiers

PMID36831507
PMCPMC9954085

What OpenQuestion holds

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Registered trials

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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.