Computational identification of rare pathogenic genomic variants in esophageal cancer markers: Transcript-level analysis, sequence-based insights, and structural-functional impacts of non-synonymous SNPs

Integrating these insights into EC provides an extended view of its molecular mechanisms and may be used in the near future as a basis for precision medicine for early diagnosis and targeted therapy.

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Publication Details

Journal
Biochemistry and Biophysics Reports
Published
2026-02-23
DOI
https://doi.org/10.1016/j.bbrep.2026.102503
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Computational identification of rare pathogenic genomic variants in esophageal cancer markers: Transcript-level analysis, sequence-based insights, and structural-functional impacts of non-synonymous SNPs

Saad Khalid Niaz, Syed Danish Haseen Ahmed, Sajida Qureshi, Muhammad Bilal Azmi et al.
Biochemistry and Biophysics Reports
Esophageal Cancer Research and Treatment
article

Computational identification of rare pathogenic genomic variants in esophageal cancer markers: Transcript-level analysis, sequence-based insights, and structural-functional impacts of non-synonymous SNPs

Saad Khalid Niaz, Syed Danish Haseen Ahmed, Sajida Qureshi, Muhammad Bilal Azmi, Rafia Wasi
article en

Abstract

Integrating these insights into EC provides an extended view of its molecular mechanisms and may be used in the near future as a basis for precision medicine for early diagnosis and targeted therapy.

Biochemistry and Biophysics ReportsVol. 45
Sindh Institute of Urology and Transplantation (PK), Dow University of Health Sciences (PK)
Good health and well-being
Openalex Percentile: Top 47%
Esophageal Cancer Research and Treatment
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