ArticleInvestigative ophthalmology & visual science2026
Comparative Proteomic Profiling of Microdissected Spindle and Epithelioid Uveal Melanoma Subtypes.
Article in Investigative ophthalmology & visual science, 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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Uveal melanoma (UM), the most prevalent primary intraocular cancer in adults, is defined by salient histopathological diversity. Spindle and epithelioid cells constitute its two dominant pathological lineages, yet the latter foreshadows aggressive behavior and shortened survival. This study aimed to explore the molecular and metabolic underpinnings of UM pathology using regionally resolved proteomics. Methods: Formalin-fixed, paraffin-embedded tumors from four patients-two spindle cell and two epithelioid-were histologically stratified via hematoxylin and eosin staining and subsequently interrogated by regionally resolved proteomics across eight precisely mapped regions. Immunofluorescence corroborated the shifts in melanocyte lineage markers. To translate these tissue-level signatures into functional biology, spindle-like 92.1 and epithelioid Mel290 cell lines were subjected to quantitative RT-PCR and Seahorse metabolic profiling, quantifying oxidative-phosphorylation (OXPHOS) gene expression and mitochondrial respiration. Results: Proteomic profiling of microdissected tissue uncovered a selective collapse of the melanocytic differentiation program within epithelioid foci. Endothelin receptor type B, the receptor required for melanocyte stem cell fate, and the lineage-defining calcium-binding protein S100B were both sharply repressed in epithelioid samples, with S100B registering the single largest drop across the entire dataset. Immunofluorescence corroborated this signature, revealing concomitant loss of microphthalmia-associated transcription factor and premelanosome protein, further attesting to the dedifferentiated state of epithelioid cells. Simultaneously, the same regions exhibited a striking surge in OXPHOS machinery. Concordantly, Mel290 epithelioid cells displayed elevated transcription of OXPHOS genes and a markedly higher basal and maximal oxygen consumption rate compared with the spindle-like 92.1 line, aligning tissue-level proteomic shifts with cell-autonomous metabolic rewiring. Conclusions: Our findings reveal a distinct proteomic signature in epithelioid UM characterized by dedifferentiation and enhanced mitochondrial respiration. This study provides the first regionally resolved proteomic landscape of UM pathology and suggests that the epithelioid transformation may reflect a shift toward a dedifferentiated, metabolically active tumor state.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.