Pathophysiological remodeling of the skeletal muscle microenvironment in patients with lung cancer

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
Full text 1,812 characters · extracted from oa-doi-fallback · click to expand
Abstract Cancer-associated cachexia is characterized by weight loss, muscle wasting, systemic inflammation, and functional decline. This multifactorial syndrome is highly prevalent and detrimental in patients with advanced-stage non–small cell lung cancer (NSCLC). To investigate the cellular and molecular underpinnings of muscle wasting, we analyzed skeletal muscle biopsies from NSCLC patients and healthy matched controls using quantitative proteomics, histology, fluorescence-activated cell sorting, gene expression profiling, and high-resolution respirometry. Skeletal muscle from patients was characterized by type II muscle fiber atrophy, greater collagen deposition, and redistribution of lipids to the extracellular matrix. This coincided with a shift in fibro-adipogenic progenitors (FAPs), favouring the CD90⁻ subtype, and experiments using conditioned media indicated a catabolic secretory phenotype from patient-derived FAPs. Proteomic and functional analyses revealed dysregulated calcium handling, downregulation of key mitochondrial proteins, and altered respiratory capacity in muscle samples from patients with NSCLC. These alterations, along with fiber-type specific mitochondrial remodelling, were accompanied by STAT3 activation and immune cell infiltration, suggesting a link between mitochondrial dysfunction and local inflammation. These results provide the first human evidence that altered FAP composition, mitochondrial homeostasis, calcium handling, and immune cell landscape coincide with muscle wasting in NSCLC, highlighting potential therapeutic targets to treat patients with cancer-associated cachexia. Competing Interest Statement The authors have declared no competing interest. Footnotes ↵# These authors jointly supervised this work. Revised figure 1, to include all panels

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00