Evidence map›Paper›PMID 39039866›Full record

ArticleClinical chemistry2024

Pyrimidine-Dependent UV-Mediated Cross-Linking Magnifies Minor Genetic or Epigenetic Changes in Clinical Samples.

Fangyan Yu, Farzana Ahmed, Stavroula Smilkou, Sayeda Yasmin-Karim, Farzaneh Darbeheshti, Athina Markou, Martyn Bullock, Ioannis Boukovinas, Viktor A Adalsteinsson, Evi Lianidou and 1 more

Abstract read
In one paragraph

Article in Clinical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Fangyan YuDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Farzana AhmedDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Stavroula SmilkouLaboratory of Analytical Chemistry, Department of Chemistry, University of Athens, Athens, Greece.
Sayeda Yasmin-KarimDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Farzaneh DarbeheshtiDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Athina MarkouLaboratory of Analytical Chemistry, Department of Chemistry, University of Athens, Athens, Greece.
Martyn BullockCancer Genetics Laboratory, Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney & Northern Sydney Local Health District, St Leonards, NSW, Australia.
Ioannis BoukovinasBioclinic Thessaloniki Medical Oncology Unit, Department of Medical Oncology, Thessaloniki, Greece.
Viktor A AdalsteinssonGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Evi LianidouLaboratory of Analytical Chemistry, Department of Chemistry, University of Athens, Athens, Greece.
G Mike MakrigiorgosDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-7598-2406

Funding

Comprehensive minimal residual disease tracking in cancerR01CA221874 · NCI · DANA-FARBER CANCER INST · PI Viktor Adalsteinsson, G. Mike Makrigiorgos · 2018 to 2026
$2.5M
European UnionNCI NIH HHS R01 CA221874NIH HHS CA221874
6 · The paper itself

Abstract

backgroundDetection of minor DNA allele alterations is becoming increasingly important for early detection and monitoring of cancer. We describe a new method that uses ultraviolet light to eliminate wild-type DNA alleles and enables improved detection of minor genetic or epigenetic changes.

methodsPyrimidine-dependent UV-based minor-allele enrichment (PD-UVME) employed oligonucleotide probes that incorporated a UVA-sensitive 3-cyanovinylcarbazole (CNVK), placed directly opposite interrogated pyrimidines, such as thymine (T) or cytosine (C) in wild-type (WT) DNA. Upon UVA-illumination, CNVK cross-linked with T/C, preventing subsequent amplification. Mutations that removed the T/C escaped cross-linking and were amplified and detected. Similarly, CNVK discriminated between methylated and unmethylated cytosine in CpG dinucleotides, enabling direct enrichment of unmethylated DNA targets. PD-UVME was combined with digital droplet PCR (ddPCR) to detect serine/threonine-protein kinase B-Raf (BRAF) V600E mutations in model systems, thyroid patient cancer tissue samples, and circulating DNA of tumor origin (ctDNA) from melanoma patients.

resultsOne thyroid cancer sample out of 9, and 6 circulating-DNA samples out of 7 were found to be BRAF V600E-positive via PD-UVME while classified as negative by conventional ddPCR. Positive samples via conventional ddPCR were also found positive via PD-UVME. All 10 circulating cell-free DNA (cfDNA) samples obtained from normal volunteers were negative via both approaches. Furthermore, preferential enrichment of unmethylated alleles in MAGEA1 promoters using PD-UVME was demonstrated.

conclusionsPD-UVME mutation/methylation enrichment performed prior to ddPCR magnifies low-level mutations or epigenetic changes and increases sensitivity and confidence in the results. It can assist with clinical decisions that hinge on the presence of trace alterations like BRAF V600E.

Indexed as

Epigenesis, GeneticUltraviolet RaysAllelesDNA MethylationHumansMelanomaMutationPolymerase Chain ReactionProto-Oncogene Proteins B-rafPyrimidinesThyroid NeoplasmsBRAF protein, humanProto-Oncogene Proteins B-rafpyrimidinePyrimidines

Identifiers

PMID39039866
PMCPMC11371481

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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.