Evidence map›Paper›PMID 38035709›Full record

ArticleCancer genomics & proteomics2023

Preoperative ctDNA Levels Are Associated With Poor Overall Survival in Patients With Ovarian Cancer.

Arturas Dobilas, Yilun Chen, Christian Brueffer, Pia Leandersson, Lao H Saal, Christer Borgfeldt

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 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

6 authors at 2 institutions in 1 country.

Arturas DobilasDepartment of Obstetrics and Gynecology, Skåne University Hospital, Lund University, Lund, Sweden; arturas.dobilas@med.lu.se.
Yilun ChenSAGA Diagnostics AB, Lund, Sweden.
Christian BruefferSAGA Diagnostics AB, Lund, Sweden.
Pia LeanderssonReproductive Medicine Center, Skåne University Hospital, Malmo, Sweden.
Lao H SaalSAGA Diagnostics AB, Lund, Sweden.
Christer BorgfeldtDepartment of Obstetrics and Gynecology, Skåne University Hospital, Lund University, Lund, Sweden.
Lund University · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimCirculating tumor DNA (ctDNA), which is shed from cancer cells into the bloodstream, offers a potential minimally invasive approach for cancer diagnosis and monitoring. This research aimed to assess the preoperative ctDNA levels in ovarian tumors patients' plasma and establish correlations with clinicopathological parameters and patient prognosis. PATIENTS AND

methodsTumor DNA was extracted from ovarian tumor tissue from 41 patients. Targeted sequencing using a panel of 127 genes recurrently mutated in cancer was performed to identify candidate somatic mutations in the tumor DNA. SAGAsafe digital PCR (dPCR) assays targeting the candidate mutations were used to measure ctDNA levels in patient plasma samples, obtained prior to surgery, to evaluate ctDNA levels in terms of mutant copy number/ml and variant allele frequency.

resultsSomatic mutations were found in 24 tumor samples, 17 of which were from ovarian cancer patients. The most frequently mutated gene was TP53. Preoperative plasma ctDNA levels were detected in 14 of the 24 patients. With higher stage, plasma ctDNA mutant concentration increased (p for trend <0.001). The overall survival of cancer patients with more than 10 ctDNA mutant copies/ml in plasma was significantly worse (p=0.008).

conclusionPre-operative ctDNA measurement in ovarian cancer patients' plasma holds promise as a predictive biomarker for tumor staging and prognosis.

Indexed as

DNA, NeoplasmOvarian NeoplasmsBiomarkers, TumorFemaleHumansMutationNeoplasm StagingPrognosisBiomarkers, TumorDNA, NeoplasmctDNAovarian canceroverall survival

Identifiers

PMID38035709
PMCPMC10687736
OpenAlexW4389206441

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.