Spatially Resolved Transcriptomic Profiling of PRAME Oncogene Expression in Skin Cutaneous Melanoma: Elucidating Dermato-Oncology Therapy through Molecular Docking

Background: Skin cutaneous melanoma (SKCM) is a highly aggressive form of skin cancer characterized by rapid metastasis and poor prognosis. PRAME (Preferentially Expressed Antigen in Melanoma) is an oncogene overexpressed in various cancers, including melanoma, and is implicated in tumorigenesis and immune evasion. Understanding the spatial expression patterns of PRAME in SKCM can provide insights into the disease mechanism and therapeutic targets. Aim of the Study: This study aims to spatially resolve the transcriptomic profile of PRAME in SKCM and evaluate the therapeutic potential of selected dermato-oncology agents through molecular docking. Methods: Spatial transcriptomics was performed on SKCM tissue samples from 30 patients to map PRAME expression. Differential expression analysis and spatial clustering were conducted. Molecular docking using HDock assessed the binding affinities of PRAME with dermato-oncology agents: vemurafenib, dioxybenzone and octocrylene, as well as their conjugates (O-D: octocrylene-dioxybenzone, O-V: octocrylene-vemurafenib and D-V: dioxybenzone-vemurafenib). Chemsketch facilitated the creation of conjugates, and Pymol was used for visualization. Results: PRAME was significantly upregulated in SKCM tissues, with a mean expression level of 8.5 TPM compared to 1.2 TPM in normal tissues ([Formula: see text] < 0.001). HDock analysis revealed that dioxybenzone had a binding energy of –106.08 kcal/mol, octocrylene –107.04 kcal/mol, and vemurafenib –114.15 kcal/mol. The conjugates showed improved binding affinities: O-D had –142.93 kcal/mol, O-V had –152.69 kcal/mol and D-V had –184.53 kcal/mol, with D-V showing the most substantial binding affinity. Conclusion: Spatial transcriptomic profiling highlights PRAME as a key biomarker in SKCM. The molecular docking results indicate that D-V conjugates (dioxybenzone-vemurafenib) possess the highest binding affinity (–184.53 kcal/mol), suggesting a promising therapeutic potential for SKCM treatment. These findings support further investigation into D-V conjugates as targeted treatments for melanoma. Future Prospects: Future research should focus on in vivo validation of the identified therapeutic agents and exploring the role of PRAME in SKCM pathogenesis. Additionally, combining spatial transcriptomics with other omics data could enhance our understanding of the tumor microenvironment and lead to novel therapeutic approaches.

Authors

Institutions

Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2024-08-23
DOI
https://doi.org/10.1142/s2737416524500431
Citations
1
Primary Topic
Click Chemistry and Applications
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatially Resolved Transcriptomic Profiling of PRAME Oncogene Expression in Skin Cutaneous Melanoma: Elucidating Dermato-Oncology Therapy through Molecular Docking

Syeda Izma Makhdoom, Abdulhakeem S. Alamri, J. Hamza, Majid Alhomrani et al.
1 citations
Journal of Computational Biophysics and Chemistry
Click Chemistry and Applications
0.25
article

Spatially Resolved Transcriptomic Profiling of PRAME Oncogene Expression in Skin Cutaneous Melanoma: Elucidating Dermato-Oncology Therapy through Molecular Docking

Syeda Izma Makhdoom, Abdulhakeem S. Alamri, J. Hamza, Majid Alhomrani, Ayaz Ali Khan, Tariq Aziz, Walaa F. Alsanie, Muzammil Ur Rehman, Muhammad Naveed
article en
1 citations

Abstract

Background: Skin cutaneous melanoma (SKCM) is a highly aggressive form of skin cancer characterized by rapid metastasis and poor prognosis. PRAME (Preferentially Expressed Antigen in Melanoma) is an oncogene overexpressed in various cancers, including melanoma, and is implicated in tumorigenesis and immune evasion. Understanding the spatial expression patterns of PRAME in SKCM can provide insights into the disease mechanism and therapeutic targets. Aim of the Study: This study aims to spatially resolve the transcriptomic profile of PRAME in SKCM and evaluate the therapeutic potential of selected dermato-oncology agents through molecular docking. Methods: Spatial transcriptomics was performed on SKCM tissue samples from 30 patients to map PRAME expression. Differential expression analysis and spatial clustering were conducted. Molecular docking using HDock assessed the binding affinities of PRAME with dermato-oncology agents: vemurafenib, dioxybenzone and octocrylene, as well as their conjugates (O-D: octocrylene-dioxybenzone, O-V: octocrylene-vemurafenib and D-V: dioxybenzone-vemurafenib). Chemsketch facilitated the creation of conjugates, and Pymol was used for visualization. Results: PRAME was significantly upregulated in SKCM tissues, with a mean expression level of 8.5 TPM compared to 1.2 TPM in normal tissues ([Formula: see text] < 0.001). HDock analysis revealed that dioxybenzone had a binding energy of –106.08 kcal/mol, octocrylene –107.04 kcal/mol, and vemurafenib –114.15 kcal/mol. The conjugates showed improved binding affinities: O-D had –142.93 kcal/mol, O-V had –152.69 kcal/mol and D-V had –184.53 kcal/mol, with D-V showing the most substantial binding affinity. Conclusion: Spatial transcriptomic profiling highlights PRAME as a key biomarker in SKCM. The molecular docking results indicate that D-V conjugates (dioxybenzone-vemurafenib) possess the highest binding affinity (–184.53 kcal/mol), suggesting a promising therapeutic potential for SKCM treatment. These findings support further investigation into D-V conjugates as targeted treatments for melanoma. Future Prospects: Future research should focus on in vivo validation of the identified therapeutic agents and exploring the role of PRAME in SKCM pathogenesis. Additionally, combining spatial transcriptomics with other omics data could enhance our understanding of the tumor microenvironment and lead to novel therapeutic approaches.

Journal of Computational Biophysics and ChemistryVol. 23(10)
Taif University (SA), University of Central Punjab (PK), University of Ioannina (GR), University of Malakand (PK)
Zero hunger
Openalex Percentile: Top 49%
Click Chemistry and Applications
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.