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High-Throughput Acoustic FFPE Proteomics Reveals ATP5IF1-Associated Mitochondrial Alterations in Acral Melanoma
Diana Lashidua Fernández-Coto1, Marisol Ayala2, Ramiro Alonso3
1Center for Genomic Sciences, National Autonomous University of Mexico, Cuernavaca, Mexico; Department of Translational Medicine, Lund University, Lund, Sweden.
Abstract:
Formalin-fixed, paraffin-embedded (FFPE) archives underpin dermatopathology and translational oncology, enabling clinically annotated melanoma cohorts, but cohort-scale proteomics remains limited by labor and variability in upstream processing. We established a plate-scale, acoustic FFPE proteomics workflow and integrated it with AI-assisted digital pathology to support composition-aware molecular profiling from routine sections. The optimized pipeline reduces handling steps, is designed to improve reproducibility, and supports rapid parallel processing in a 96-well format. Deep data-independent acquisition MS of 40 primary melanomas spanning acral lentiginous, lentigo maligna, superficial spreading, and nodular subtypes quantified more than 8200 protein groups and a mean of 5200 proteins per tumor. Proteome profiles resolved melanoma subtypes and defined an acral lentiginous melanoma program enriched for translation/biogenesis and extracellular matrix/adhesion processes with relative depletion of lipid and fatty-acid metabolism and peroxisomal pathways. Supervised feature selection highlighted tenascin, periostin, eukaryotic initiation factor 4A-I, and ADP-ribosylation factor 4 and uncovered selective depletion of ATPase inhibitor, mitochondrial (ATP5IF1), a regulator of mitochondrial ATP synthase, in acral lentiginous melanoma. ATP5IF1 depletion persisted after adjustment for mitochondrial proxies and QuPath-derived tumor content, and coincided with higher glycolysis relative to Complex V. This pathology-integrated, high-throughput FFPE proteomics framework enables scalable retrospective discovery and suggests subtype-specific metabolic alterations consistent with mitochondrial remodeling in an underrepresented melanoma subtype.
Insights
A new high-throughput proteomics workflow for formalin-fixed, paraffin-embedded (FFPE) samples enables AI-powered digital pathology. This method profiles melanoma subtypes, revealing metabolic alterations in acral lentiginous melanoma.
Area of Science:
- Oncology
- Proteomics
- Digital Pathology
Background:
- Formalin-fixed, paraffin-embedded (FFPE) archives are crucial for melanoma research.
- Cohort-scale proteomics from FFPE samples is challenging due to labor and processing variability.
Purpose of the Study:
- To develop a scalable, high-throughput proteomics workflow for FFPE samples.
- To integrate this workflow with AI-assisted digital pathology for molecular profiling.
- To investigate subtype-specific proteomic and metabolic alterations in melanoma.
Main Methods:
- Established a plate-scale, acoustic FFPE proteomics workflow in a 96-well format.
- Utilized deep data-independent acquisition mass spectrometry on 40 primary melanomas.
- Integrated proteomic data with AI-assisted digital pathology (QuPath) for composition-aware analysis.
Main Results:
- Quantified over 8,200 protein groups, averaging 5,200 proteins per tumor.
- Resolved distinct proteome profiles for melanoma subtypes.
- Identified an acral lentiginous melanoma program enriched in translation/biogenesis and ECM processes, with depleted lipid metabolism.
- Discovered selective depletion of ATP5IF1 in acral lentiginous melanoma, linked to altered glycolysis and mitochondrial function.
Conclusions:
- The developed FFPE proteomics framework enables scalable retrospective discovery.
- Revealed subtype-specific metabolic alterations in melanoma, suggesting mitochondrial remodeling in acral lentiginous melanoma.
- Highlights the potential of integrating high-throughput proteomics with digital pathology for translational oncology research.
