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Clinico-genomic findings, molecular docking, and mutational spectrum in an understudied population with breast cancer patients from KP, Pakistan.
Ahmad, Hilal; Ali, Asif; Khalil, Ali Talha; Ali, Roshan; Khan, Ishaq; Khan, Mah Muneer; Ahmed, Ibrar; Basharat, Zarrin; Alorini, Mohammed; Mehmood, Amna.
Afiliação
  • Ahmad H; Institute of Basic Medical Sciences (IBMS), Khyber Medical University, Peshawar, Pakistan.
  • Ali A; Institute of Pathology and Diagnostic Medicine (IPDM), Khyber Medical University, Peshawar, Pakistan.
  • Khalil AT; College of Medicine, Gulf Medical University, Ajman, United Arab Emirates.
  • Ali R; School of Medicine, University of Glasgow, Glasgow, United Kingdom.
  • Khan I; Department of Pathology, Lady Reading Hospital Medical Teaching Institution, Peshawar, Pakistan.
  • Khan MM; Institute of Basic Medical Sciences (IBMS), Khyber Medical University, Peshawar, Pakistan.
  • Ahmed I; Institute of Basic Medical Sciences (IBMS), Khyber Medical University, Peshawar, Pakistan.
  • Basharat Z; Department of Surgery, Khyber Teaching Hospital, Medical Teaching Institution, Peshawar, Pakistan.
  • Alorini M; Alpha Genomics (Private) Limited, Islamabad, Pakistan.
  • Mehmood A; Microbiological Analysis Team, Group for Biometrology, The Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea.
Front Genet ; 15: 1383284, 2024.
Article em En | MEDLINE | ID: mdl-38784039
ABSTRACT
In this study, we report the mutational profiles, pathogenicity, and their association with different clinicopathologic and sociogenetic factors in patients with Pashtun ethnicity for the first time. A total of 19 FFPE blocks of invasive ductal carcinoma (IDC) from the Breast Cancer (BC) tissue and 6 normal FFPE blocks were analyzed by whole-exome sequencing (WES). Various somatic and germline mutations were identified in cancer-related genes, i.e., ATM, CHEK2, PALB2, and XRCC2. Among a total of 18 mutations, 14 mutations were somatic and 4 were germline. The ATM gene exhibited the maximum number of mutations (11/18), followed by CHEK2 (3/18), PALB2 (3/18), and XRCC2 (1/18). Except one frameshift deletion, all other 17 mutations were nonsynonymous single-nucleotide variants (SNVs). SIFT prediction revealed 7/18 (38.8%) mutations as deleterious. PolyPhen-2 and MutationTaster identified 5/18 (27.7%) mutations as probably damaging and 10/18 (55.5%) mutations as disease-causing, respectively. Mutations like PALB2 p.Q559R (6/19; 31.5%), XRCC2 p.R188H (5/19; 26.31%), and ATM p.D1853N (4/19; 21.05%) were recurrent mutations and proposed to have a biomarker potential. The protein network prediction was performed using GeneMANIA and STRING. ISPRED-SEQ indicated three interaction site mutations which were further used for molecular dynamic simulation. An average increase in the radius of gyration was observed in all three mutated proteins revealing their perturbed folding behavior. Obtained SNVs were further correlated with various parameters related to the clinicopathological status of the tumors. Three mutation positions (ATM p. D1853N, CHEK2 p.M314I, and PALB2 p.T1029S) were found to be highly conserved. Finally, the wild- and mutant-type proteins were screened for two drugs elagolix (DrugBank ID DB11979) and LTS0102038 (a triterpenoid, isolated from the anticancer medicinal plant Fagonia indica). Comparatively, a higher number of interactions were noted for normal ATM with both compounds, as compared to mutants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Genet Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Genet Ano de publicação: 2024 Tipo de documento: Article