Transcriptomics

Dataset Information

0

Proteomic analysis of CSF from patients with leptomeningeal melanoma metastases identifies signatures associated with disease progression and therapeutic resistance


ABSTRACT: The development of leptomeningeal melanoma metastases (LMM) is a rare and devastating complication of the late-stage disease, for which no effective treatments exist. Here, we performed a multi-omics analysis of the CSF from LMM patients to determine how the leptomeningeal microenvironment shapes the biology and therapeutic responses of melanoma cells. A total of 45 serial CSF samples were collected from 16 patients, 8 of these with confirmed LMM. Of those with LMM, 7 had poor survival (<4 months) and one was an extraordinary responder (still alive with survival >35 months). CSF samples were analyzed by mass spectrometry and incubated with melanoma cells, that were subjected to RNA-Seq analysis. Functional assays were performed to validate the pathways identified.Mass spectrometry analyses showed the CSF of most LMM patients to be enriched for pathways involved in innate immunity, protease-mediated damage, and IGF-related signaling. All of these were anti-correlated in the extraordinary responder. RNA-Seq analysis showed CSF to induce PI3K/AKT, integrin, B-cell activation, S-phase entry, TNFR2, TGF-β and oxidative stress responses in the melanoma cells. ELISA assays confirmed that TGF-β expression increased in the CSF of patients progressing with LMM. CSF from poorly responding patients conferred tolerance to BRAF inhibitor therapy in apoptosis assays. These analyses identified proteomic/transcriptional signatures in the CSF of patients who succumbed to LMM. We further showed that the CSF from LMM patients has the potential to modulate BRAF inhibitor responses and may contribute to drug resistance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE141021 | GEO | 2019/11/27

REPOSITORIES: GEO

Similar Datasets

2020-01-16 | PXD016002 | Pride
2021-05-14 | GSE174401 | GEO
2020-02-26 | GSE125191 | GEO
2020-02-26 | GSE125192 | GEO
2023-03-27 | GSE221522 | GEO
2023-03-27 | GSE221593 | GEO
2015-12-31 | E-GEOD-66968 | biostudies-arrayexpress
2017-03-06 | E-MTAB-5511 | biostudies-arrayexpress
2017-03-06 | E-MTAB-5510 | biostudies-arrayexpress
2022-09-30 | GSE214473 | GEO