ArticleDNA repair2022
DNA Repair Capacity for Personalizing Risk and Treatment Response - Assay Development and Optimization in Human Peripheral Blood Mononuclear Cells (PBMCs).
Article in DNA repair, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Functional DNA Repair Profiling in Translational Medicine: Benchmarking Comet, γH2AX, and NGS Assays Against Clinical Constraints.Current issues in molecular biology · 2026Review
- Functional Profiling of DNA Repair Pathways in Lung Cancer Patients Uncovers Radiotherapy-Induced and Cancer-Associated Alterations in Oxidative Lesion Repair.medRxiv : the preprint server for health sciences · 2026Article
- Cigarette smoke and decreased DNA repair by Xeroderma Pigmentosum Group C use a double hit mechanism for epithelial cell lung carcinogenesis.Oncotarget · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
DNA repair capacity (DRC) is the ability of a cell to repair DNA damage. Differential DRC plays an important role in human disease, including lung and other cancers. Measuring DRC could aid in translational disease research and in personalizing treatment. We developed and optimized a flow cytometry-based assay to measure individual DRC using GFP-expressing plasmids modified by ultraviolet (UV) light for nucleotide excision repair (NER) and restriction enzyme digestion to induce a blunt double-strand cut between promoter and GFP expression regions for nonhomologous end joining (NHEJ). Cryopreserved peripheral blood mononuclear cells (PBMCs) from healthy volunteers were used to measure DRC and optimize the assay. Pathway specificity of the NHEJ DRC assay was confirmed using Ku80-/- MEF cells, which showed a 6-fold reduction in NHEJ compared to Ku80+/+. Using a cell mixing assay, we show a linear correlation between NHEJ DRC and the expected concentration of Ku80. NHEJ DRC measurements in cryopreserved PBMCs are quantifiable with low interindividual and inter-assay variability, and a titratable decrease in NHEJ activity was observed in PBMCs treated with the DNA-PK inhibitor NU7441. Pathway specificity of the NER DRC assay was confirmed by a decrease in measured NER activity in human XPC deficient compared to XPC proficient fibroblasts, with a linear correlation measured between NER DRC and expected XPC concentration by cell mixing assay. NER DRC is quantifiable, reproducible, and titratable in PBMCs from healthy volunteers. We measured both NER and NHEJ DRC in PBMCs obtained from newly diagnosed, untreated lung cancer patients; measured DRC differed in these PBMCs compared to healthy volunteers. With further investigation, measurement of NER and NHEJ DNA repair capacity may be useful in personalizing disease risk and response to DNA damaging therapies and small molecular inhibitors of DNA repair pathways using readily available human PBMCs.
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Registered trials
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.