PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 29, 2026PeerJ0 citationsOpen Access

An autoantibody signature targeting cuproptosis-related proteins for non-small cell lung cancer detection and prognosis

View Full Paper
ALA. LiuLZLulu ZhangPYPeiqi Yu

Key Points

  • This study investigates the role of anti-DLAT and anti-LIAS autoantibodies in diagnosing and predicting outcomes in non-small cell lung cancer.
  • Used ELISA to detect plasma levels of anti-DLAT and anti-LIAS autoantibodies.
  • Evaluated their diagnostic value in 340 normal controls, 260 patients with benign pulmonary nodule, and 340 patients with NSCLC.
  • Analyzed prognostic data in an independent cohort of 354 NSCLC patients.
  • Anti-DLAT and anti-LIAS autoantibodies were significantly higher in NSCLC patients compared to benign pulmonary nodules and normal controls.
  • The established multi-autoantibody signature achieved an AUC of 0.805 for distinguishing NSCLC from normal controls.
  • Anti-LIAS autoantibody was identified as an independent prognostic factor with HR = 1.42 (95% CI [1.01–1.99]).

Abstract

Background Autoantibodies against tumor-associated antigens in plasma are valuable biomarkers for early cancer detection and prognostic stratification. Dihydrolipoamide acetyltransferase (DLAT) and lipoic acid synthetase (LIAS), two key cuproptosis regulators, are abnormally expressed in non-small cell lung cancer (NSCLC) and are potential biomarkers for clinical diagnosis. This study explored the significance of anti-DLAT and anti-LIAS autoantibodies in the clinical diagnosis and prognosis of NSCLC. Methods Plasma levels of anti-DLAT and anti-LIAS autoantibodies were detected using Enzyme-Linked Immunosorbent Assay (ELISA). Their diagnostic value was evaluated in 340 cases with normal control (NC), 260 patients with benign pulmonary nodule (BPN) and 340 patients with NSCLC. Additionally, the prognostic value of these autoantibodies was analyzed in a separate independent cohort of 354 patients with NSCLC. Results The expression levels of anti-DLAT and anti-LIAS autoantibodies were significantly elevated in NSCLC compared to those in BPN and NC. These autoantibodies distinguished NSCLC from NC with AUCs of 0.712 (95% CI 0.669–0.756) and 0.668 (95% CI 0.623–0.714), respectively. To enhance diagnostic efficacy, a multi-autoantibody signature (anti-DLAT/LIAS/FDX1/COPT1) was constructed, which significantly improved discrimination (NSCLC vs NC: AUC = 0.805; NSCLC vs BPN: AUC = 0.751). Prognostic analysis indicated that anti-LIAS autoantibody served as an independent predictor of outcome (HR = 1.42, 95% CI 1.01–1.99). Conclusions These findings demonstrate the clinical utility of an autoantibody signature targeting cuproptosis-related proteins for NSCLC diagnosis and prognosis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a192dbbfab5b468c44169b1https://doi.org/10.7717/peerj.21260
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Cuproptosis-related lncRNA Signature for PrognosticStratification and Immunotherapeutic Implications in LungAdenocarcinoma2026
  2. 2Integrated analysis identifies cuproptosis-related gene DLAT and its competing endogenous RNAs network to predict the prognosis of pancreatic adenocarcinoma patients2024 · 2 citations
  3. 3Comprehensive molecular analyses of cuproptosis-related genes with regard to prognosis, immune landscape, and response to immune checkpoint blockers in lung adenocarcinoma2024 · 3 citations
  4. 4Cuproptosis-related lncRNA signature as a prognostic tool and therapeutic target in diffuse large B cell lymphoma2024 · 7 citations
  5. 5Circulating tumor-associated autoantibody signatures for diagnosis and prognosis in small-cell lung cancer and lung adenocarcinoma2026