ArticleMedical oncology (Northwood, London, England)2025
Translating genomic insights into therapy: an NGS-based mutation profiling study in breast cancer.
Article in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high prevalence of breast cancer is fairly frequent among women worldwide. In the current era of personalized medicine, understanding the molecular etiology of Breast Cancer is essential for better treatment options. Our investigation of the molecular alterations in tumors using next-generation sequencing targeted panels, specifically the Oncomine Precision Assay, has revealed clinically substantial somatic mutations. A total of 32 pretherapeutic invasive ductal carcinoma patients were enrolled in this study. The DNA extraction and quantification were carried out from tumor tissues and proceeded for the run and analyzed with genexus software. The analysis revealed a highly prevalent PIK3CA mutation which plays a significant role in tumorigenesis. PIK3CA mutation incorporated different single nucleotide variations including H1047R (COSMIC ID -775), E545K (COSMIC ID-763), E542K (COSMIC ID-760), H1047L (COSMIC ID-776) and N345K (COSMIC ID-754). While the most frequent copy number variations (CNV) were found for the ERBB2 gene. Apart from these frequent mutations, TP53 SNVs, FGFR, EGFR, CDKN2A, CD274, and PTEN Copy Number Variations were also present in the study cohort. The noteworthy observation is out of 7 Triple Negative Breast Cancer patients three patients were negative for any mutation. Hence, the association of genetic variation with clinicopathological parameters will be helpful in the selection of targeted treatment.
Indexed as
Identifiers
41261306What Socratic 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 Socratic graph.