Back

Longitudinal Analysis of CYFRA 21-1 Levels in Patients with Pulmonary Nodules: Differential Trajectories Between Benign and Malignant Cases and Impact of Tumor Resection

Forero, Y. J.; Kammer, M. N.; McGann, K. C.; Chen, S.-C.; Chen, H.; Argaw, S.; Khalil, T. A.; Antic, S. L.; Zou, Y.; Lianrui, Z.; Lasko, T. A.; Landman, B. A.; Deppen, S. A.; Grogan, E. L.; Maldonado, F.

2026-01-13 respiratory medicine
10.64898/2026.01.10.26343848 medRxiv
Show abstract

BackgroundCYFRA 21-1, a cytokeratin-19 fragment, is a validated serum biomarker for non-small cell lung cancer (NSCLC). However, most studies rely on single time-point measurements, limiting its specificity in differentiating malignancy from benign pulmonary conditions. Inspired by the clinical utility of serial PSA measurements in prostate cancer, we investigated whether longitudinal trends in CYFRA 21-1 could enhance diagnostic and monitoring capabilities in patients with pulmonary nodules Methods and FindingsWe analyzed 132 patients with pulmonary nodules, including 41 with lung cancer and 91 with benign diagnoses. CYFRA 21-1 levels were measured serially using electrochemiluminescence assays. Longitudinal trends were assessed using linear mixed-effects models to estimate biomarker trajectories. Subgroup analyses examined differences between benign, untreated cancer, and post-treatment cancer groups, as well as within-patient changes in a subset of 16 cancer patients with both pre- and post-surgical measurements. Log-transformed data were used for the analysis. At baseline, CYFRA 21-1 levels were significantly higher in malignant versus benign nodules. Over time, CYFRA trajectories diverged: benign cases showed slight increases, whereas cancer patients exhibited greater biomarker volatility. In treated cancer patients, trend of CYFRA levels on the natural log scale decline from -0.00137 pre-surgery to - 0.00263 to post-surgery, and both cancer groups showed significantly higher absolute slopes than the benign group (p < 0.05). While pre- vs post-treatment slope differences did not reach significance (p = 0.211), the general pattern indicated that CYFRA 21-1 is a dynamic marker responsive to tumor presence and removal. ConclusionsCYFRA 21-1 exhibits substantial within-patient variability over time, with trajectories that reflect disease state and treatment. These findings suggest that longitudinal monitoring of CYFRA 21-1--analogous to PSA velocity in prostate cancer-- may offer improved diagnostic and prognostic insight in the evaluation of pulmonary nodules. Further studies in larger cohorts are warranted to validate these findings and explore clinical implementation of CYFRA trajectory analysis.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 0.7%
19.1%
2
ERJ Open Research
44 papers in training set
Top 0.1%
10.5%
3
The Prostate
11 papers in training set
Top 0.1%
8.8%
4
Communications Medicine
85 papers in training set
Top 0.1%
6.6%
5
PLOS ONE
4510 papers in training set
Top 32%
4.8%
6
Frontiers in Pharmacology
100 papers in training set
Top 0.6%
4.5%
50% of probability mass above
7
European Respiratory Journal
54 papers in training set
Top 0.4%
4.1%
8
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.6%
9
Frontiers in Medicine
113 papers in training set
Top 2%
2.5%
10
Journal of Translational Medicine
46 papers in training set
Top 0.5%
2.2%
11
iScience
1063 papers in training set
Top 9%
2.2%
12
eBioMedicine
130 papers in training set
Top 2%
1.3%
13
BMC Medicine
163 papers in training set
Top 5%
1.3%
14
British Journal of Cancer
42 papers in training set
Top 1%
1.2%
15
npj Digital Medicine
97 papers in training set
Top 3%
1.0%
16
Life
27 papers in training set
Top 0.1%
1.0%
17
International Journal of Cancer
42 papers in training set
Top 0.9%
1.0%
18
BMJ Open
554 papers in training set
Top 12%
0.8%
19
BMJ Open Respiratory Research
32 papers in training set
Top 0.6%
0.8%
20
The American Journal of Pathology
31 papers in training set
Top 0.4%
0.8%
21
Archives of Clinical and Biomedical Research
28 papers in training set
Top 2%
0.8%
22
JCI Insight
241 papers in training set
Top 7%
0.8%
23
Clinical Chemistry
22 papers in training set
Top 0.8%
0.8%
24
Neoplasia
22 papers in training set
Top 0.7%
0.7%
25
Modern Pathology
21 papers in training set
Top 0.5%
0.7%
26
Cancer Epidemiology, Biomarkers & Prevention
17 papers in training set
Top 0.7%
0.7%
27
Frontiers in Immunology
586 papers in training set
Top 9%
0.5%
28
Frontiers in Oncology
95 papers in training set
Top 4%
0.5%