ReviewJournal of the National Cancer Institute2022
Synonymous Variants: Necessary Nuance in Our Understanding of Cancer Drivers and Treatment Outcomes.
Review in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- TLR2 variants andUpsala journal of medical sciences · 2025Pooled it
- Synonymous but not silent: functional codon bias reveals decoupled mitonuclear evolution in parasitic worms.Bioinformatics advances · 2026Article
- Pathogenic CDKN2A germline variants are rare in a cohort of unselected pancreatic cancer patients from Pakistan.Familial cancer · 2025Article
- Diagnostic and Prognostic Implications of FGFR3, TP53 Mutation and Urinary Biomarkers in Urothelial Carcinoma in Pakistani Cohort.Journal of clinical medicine · 2025Article
- Single nucleotide polymorphism and promoter methylation analysis of protein tyrosine phosphatase 1B in patients with myeloproliferative neoplasms.Translational cancer research · 2025Article
- Integrating next-generation sequencing and artificial intelligence for the identification and validation of pathogenic variants in colorectal cancer.Frontiers in oncology · 2025Article
- Ensemble learning-based predictor for driver synonymous mutation with sequence representation.PLoS computational biology · 2025Article
- Genetic Screening, Cancer Syndromes, and the Radiologist.Radiology. Imaging cancer · 2024Article
- Genetic variants in the 6p21.3 region influence hepatitis B virus clearance and chronic hepatitis B risk in the Han Chinese population.Liver research (Beijing, China) · 2024Article
- In silico methods for predicting functional synonymous variants.Genome biology · 2023Review
- Protective Effect of HER2 Gene Polymorphism rs24537331 in the Outcome of Canine Mammary Tumors.Animals : an open access journal from MDPI · 2023Article
- Clinical and molecular characterization of a patient withFrontiers in pediatrics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Once called "silent mutations" and assumed to have no effect on protein structure and function, synonymous variants are now recognized to be drivers for some cancers. There have been significant advances in our understanding of the numerous mechanisms by which synonymous single nucleotide variants (sSNVs) can affect protein structure and function by affecting pre-mRNA splicing, mRNA expression, stability, folding, micro-RNA binding, translation kinetics, and co-translational folding. This review highlights the need for considering sSNVs in cancer biology to gain a better understanding of the genetic determinants of human cancers and to improve their diagnosis and treatment. We surveyed the literature for reports of sSNVs in cancer and found numerous studies on the consequences of sSNVs on gene function with supporting in vitro evidence. We also found reports of sSNVs that have statistically significant associations with specific cancer types but for which in vitro studies are lacking to support the reported associations. Additionally, we found reports of germline and somatic sSNVs that were observed in numerous clinical studies and for which in silico analysis predicts possible effects on gene function. We provide a review of these investigations and discuss necessary future studies to elucidate the mechanisms by which sSNVs disrupt protein function and play a role in tumorigeneses, cancer progression, and treatment efficacy. As splicing dysregulation is one of the most well-recognized mechanisms by which sSNVs impact protein function, we also include our own in silico analysis for predicting which sSNVs may disrupt pre-mRNA splicing.
Indexed as
Identifiers
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.