ArticleCancer informatics2026
Exon-Specific Targeted Analysis of
Article in Cancer informatics, 2026. 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.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breast cancer (BC) is a leading cause of death among women. Pathogenic variations (PVs) in Objective: To overcome this challenge, this study explored whole genome databases (cBioPortal, gnomAD, dbSNP) to investigate whether sequencing selected exons in Methods: Exons 4 and 16 of Results: Analysis of 13 patient samples revealed no PVs in the targeted regions. Within the Conclusion: This study, although limited by sample size, demonstrates that even exons enriched for pathogenic mutations may not be sufficiently representative for detecting PVs through targeted sequencing of
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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 Socratic graph.