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. 2003 Aug;94(8):741-4.
doi: 10.1111/j.1349-7006.2003.tb01512.x.

Time course of carcinoembryonic antigen after resection of lung cancer: a predictor of recurrence

Tatsuya Yoshimasu  1 , Yozo Kokawa, Shoji Oura, Issei Hirai, Rie Sasaki, Hirokazu Tanino, Teruhisa Sakurai, Yoshitaka Okamura
Affiliations

Time course of carcinoembryonic antigen after resection of lung cancer: a predictor of recurrence

Tatsuya Yoshimasu et al. Cancer Sci. 2003 Aug.

Abstract

We investigated whether the early postoperative time course of carcinoembryonic antigen (CEA) level after resection of lung cancer could be used to predict patients' prognosis. Fifty-three lung cancer patients were included in this study. Postoperative serum CEA levels were calculated by means of non-linear least-squares fitting to the equation C(t) = (C(0)-C(p))exp(-kt) + C(p), where C(t) is postoperative CEA level, t is days after surgery, C(0) is CEA level at postoperative time 0, C(p) is CEA level at plateau, and k is the rate constant of elimination. Postoperative CEA production (P(p)) was calculated as C(p) multiplied by k. C(p) and P(p) represent the numbers of residual tumor cells after surgery. More residual tumor cells yield higher values of C(p) and P(p), and result in earlier recurrence.

Results: Kinetic parameters could be obtained for 30 patients whose preoperative CEA levels were sufficiently elevated. Cutoff levels as predictors for recurrence were 1.1 ng/ml for C(p) and 0.9 ng/ml/day for P(p). The accuracy of prediction of recurrence using these cutoff levels was 79% with C(p) and 89% with P(p). A very poor prognosis was observed for patients with P(p) over 0.9 ng/ml/day.

Conclusion: Analysis of the time course of changes in CEA levels after resection of lung cancer appears to be useful for predicting patient prognosis. C(p) and P(p) are very precise predictors of recurrence.

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References

    1. Semjonow A, Hamm M, Rathert P. Elimination kinetics of prostate‐specific antigen serum and urine. Int J Biol Markers 1994; 9: 15–20. - PubMed
    1. Willemse PHB, Aalders JG, de Bruyn HWA, Mulder NH, Sleijfer DTh, de Vries EGE. CA‐125 in ovarian cancer: relation between half‐life, doubling time and survival. Eur J Cancer 1991; 27: 993–5. - PubMed
    1. Lange PH, Vogelzang NJ, Goldman A, Kennedy BJ, Fraley EE. Marker half‐life analysis as a prognostic tool in testicular cancer. J Urol 1982; 128: 708–11. - PubMed
    1. Yedema CA, Kenemans P, Voorhorst F, Bon G, Schijf C, Beex L, Verstraeten A, Hilgers J, Vermorken J. CA 125 half‐life in ovarian cancer: a multivariate survival analysis. Br J Cancer 1993; 67: 1361–7. - PMC - PubMed
    1. Ueda H, Kusano T, Iwasaki A, Inutsuka S. Postoperative change of serum carcinoembryonic antigen in bronchogenic carcinoma. Med Bull Fukuoka Univ 1991; 18: 187–91.