ReviewBiomarker research2021
Nucleases as molecular targets for cancer diagnosis.
Review in Biomarker research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Label-free technique for universal and sequence independent detection of oligonucleotides and nuclease activity.Nucleic acids research · 2025Article
- Cell-Free DNA: Features and Attributes Shaping the Next Frontier in Liquid Biopsy.Molecular diagnosis & therapy · 2025Review
- Simultaneous targeted delivery of doxorubicin and KRAS suppression by a hybrid molecule containing miR-143 and AS1411 aptamer.Scientific reports · 2025Article
- Review
- Detection and Characterization of Methylated Circulating Tumor DNA in Gastric Cancer.International journal of molecular sciences · 2024Article
- Article
- A GMR enzymatic assay for quantifying nuclease and peptidase activity.Frontiers in bioengineering and biotechnology · 2024Article
- Delivery of nucleic acids using nanomaterials.Molecular biomedicine · 2023Review
- Multi-faceted attributes of salivary cell-free DNA as liquid biopsy biomarkers for gastric cancer detection.Biomarker research · 2023Article
- DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues.Nature communications · 2023Article
- Environmental insults and compensative responses: when microbiome meets cancer.Discover oncology · 2023Review
- An integrated ion-exchange membrane-based microfluidic device for irreversible dissociation and quantification of miRNA from ribonucleoproteins.Lab on a chip · 2023Article
- Bidirectional Functional Effects ofMicroorganisms · 2022Review
- Exonucleases: Degrading DNA to Deal with Genome Damage, Cell Death, Inflammation and Cancer.Cells · 2022Review
- Intratumor microbiome in cancer progression: current developments, challenges and future trends.Biomarker research · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Early cancer diagnosis is a crucial element to improved treatment options and survival. Great research efforts have been made in the search for better performing cancer diagnostic biomarkers. However, the quest continues as novel biomarkers with high accuracy for an early diagnosis remain an unmet clinical need. Nucleases, which are enzymes capable of cleaving nucleic acids, have been long considered as potential cancer biomarkers. The implications of nucleases are key for biological functions, their presence in different cellular counterparts and catalytic activity led the enthusiasm towards investigating the role of nucleases as promising cancer biomarkers. However, the most essential feature of these proteins, which is their enzymatic activity, has not been fully exploited. This review discusses nucleases interrogated as cancer biomarkers, providing a glimpse of their physiological roles. Moreover, it highlights the potential of harnessing the enzymatic activity of cancer-associated nucleases as a novel diagnostic biomarker using nucleic acid probes as substrates.
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What OpenQuestion holds
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.