Longitudinal monitoring of autoantibody dynamics in patients with early-stage non-small-cell lung cancer undergoing surgery
Jinming Miao, Zhitong Wang, Lin Li, Shuai Pei, Jichao Chu, Bingshan Guo, Xingchen Li, Yudan Zheng, Yongzhi Wang

TL;DR
This study tracks changes in autoantibodies in early-stage lung cancer patients after surgery, finding that declines in certain autoantibodies may predict better survival and lower recurrence risk.
Contribution
The study introduces longitudinal autoantibody profiling as a potential noninvasive tool for postoperative prognosis in early-stage NSCLC.
Findings
Reductions in p53, GBU4-5, and CAGE autoantibodies correlated with lower recurrence risk and improved survival.
NY-ESO-1 and SOX2 showed borderline significance but lost significance after correction.
Serial autoantibody profiling may offer prognostic value for personalized postoperative management.
Abstract
Lung cancer is one of the most common and deadly malignancies worldwide, underscoring the need for reliable biomarkers that can inform prognosis and guide postoperative surveillance. This prospective study examined longitudinal changes in 10 tumor-associated autoantibodies in 71 patients with early-stage non-small-cell lung cancer (NSCLC) who underwent surgical resection. Blood samples were collected preoperatively and at 3-, 6-, and 12-month post-surgery. Enzyme-linked immunosorbent assays were used to measure serum autoantibodies against p53, MUC1, NY-ESO-1, APE1, PGP9.5, SOX2, GBU4-5, GAGE7, CAGE, and MAGE1. Logistic regression models assessed associations with 1-year recurrence, while Cox proportional hazards models evaluated overall survival. Substantial reductions in p53, GBU4-5, and CAGE autoantibodies correlated with lower recurrence risk and improved 1-year survival, even after…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Chemokine receptors and signaling · Immunotherapy and Immune Responses
