| Title: |
The blood proteome of imminent lung cancer diagnosis |
| Authors: |
Albanes, D; Alcala, K; Alcala, N; Amos, CI; Arslan, AA; Bassett, JK; Brennan, P; Cai, Q; Chen, C; Feng, X; Freedman, ND; Guida, F; Hung, RJ; Hveem, K; Johansson, M; Koh, WP; Langhammer, A; Milne, RL; Muller, D; Onwuka, J; Sørgjerd, EP; Robbins, HA; Sesso, HD; Severi, G; Shu, XO; Sieri, S; Smith-Byrne, K; Stevens, V; Tinker, L; Tjønneland, A; Visvanathan, K; Wang, Y; Wang, R; Weinstein, S; Yuan, JM; Zahed, H; Zhang, X; Zheng, W |
| Publisher Information: |
NATURE PORTFOLIO |
| Publication Year: |
2023 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
Identification of risk biomarkers may enhance early detection of smoking-related lung cancer. We measured between 392 and 1,162 proteins in blood samples drawn at most three years before diagnosis in 731 smoking-matched case-control sets nested within six prospective cohorts from the US, Europe, Singapore, and Australia. We identify 36 proteins with independently reproducible associations with risk of imminent lung cancer diagnosis (all p < 4 × 10-5). These include a few markers (e.g. CA-125/MUC-16 and CEACAM5/CEA) that have previously been reported in studies using pre-diagnostic blood samples for lung cancer. The 36 proteins include several growth factors (e.g. HGF, IGFBP-1, IGFP-2), tumor necrosis factor-receptors (e.g. TNFRSF6B, TNFRSF13B), and chemokines and cytokines (e.g. CXL17, GDF-15, SCF). The odds ratio per standard deviation range from 1.31 for IGFBP-1 (95% CI: 1.17-1.47) to 2.43 for CEACAM5 (95% CI: 2.04-2.89). We map the 36 proteins to the hallmarks of cancer and find that activation of invasion and metastasis, proliferative signaling, tumor-promoting inflammation, and angiogenesis are most frequently implicated. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
2041-1723 |
| Relation: |
NHMRC/209057; https://hdl.handle.net/11343/338773 |
| Availability: |
https://hdl.handle.net/11343/338773 |
| Rights: |
https://creativecommons.org/licenses/by/4.0 ; CC BY |
| Accession Number: |
edsbas.F42F572B |
| Database: |
BASE |