| Literature DB >> 31576682 |
Kyung Hee Han1,2, Noh Hyun Park3, Jin Ju Kim4, Sunmie Kim4, Hee Seung Kim2, Maria Lee2, Yong Sang Song2,5.
Abstract
OBJECTIVE: To identify the power of tumor markers for predicting ovarian cancer according to menopausal status.Entities:
Keywords: CA 125 Antigen; HE4 Protein, Human; Menopause; Ovarian Epithelial Cancer; Tumor Markers
Mesh:
Substances:
Year: 2019 PMID: 31576682 PMCID: PMC6779620 DOI: 10.3802/jgo.2019.30.e83
Source DB: PubMed Journal: J Gynecol Oncol ISSN: 2005-0380 Impact factor: 4.401
Fig. 1The flow chart of this study for patient selection.
Patients' characteristics according to menopause status
| Characteristics | Premenopause (n=532, 60.7%) | Postmenopause (n=344, 39.3%) | p | |
|---|---|---|---|---|
| Age (yr) | 42 (20–60) | 58 (40–82) | <0.001 | |
| Increased tumor markers | ||||
| CA 125 | 153 (28.8) | 68 (19.8) | 0.003 | |
| HE4 | 26 (4.9) | 37 (10.8) | 0.001 | |
| ROMA | 92 (17.3) | 80 (23.3) | 0.036 | |
| Ovarian mass | <0.001 | |||
| Primary ovarian cancer | 32 (6.0) | 48 (14.0) | ||
| Metastasis to ovary | 3 (0.6) | 10 (2.9) | ||
| Ovarian borderline malignancy | 11 (2.1) | 1 (0.3) | ||
| Benign ovarian cyst | 486 (91.4) | 285 (82.8) | ||
Values are presented as median (range) or number (%).
CA 125, cancer antigen 125; HE4, human epididymis protein 4; ROMA, Risk of Ovarian Malignancy Algorithm.
Histopathologic results of primary ovarian cancer
| Characteristics | Premenopause (n=32, 40%) | Postmenopause (n=48, 60%) | p | |
|---|---|---|---|---|
| FIGO stage | 0.016 | |||
| I | 17 (53.1) | 10 (20.8) | ||
| II | 4 (12.5) | 6 (12.5) | ||
| III | 7 (21.9) | 15 (31.3) | ||
| IV | 4 (12.5) | 17 (35.4) | ||
| Grade | 0.003 | |||
| 1 (low) | 14 (48.3) | 7 (14.6) | ||
| 2, 3 (high) | 15 (51.7) | 41 (85.4) | ||
| Histology | 0.172 | |||
| Serous | 12 (37.5) | 27 (56.3) | ||
| Endometrioid | 5 (15.6) | 8 (16.7) | ||
| Mucinous | 5 (15.6) | 1 (2.1) | ||
| Clear cell | 3 (9.4) | 4 (8.3) | ||
| Others | 7 (21.9) | 8 (16.7) | ||
FIGO, International Federation of Gynecology and Obstetrics.
Sensitivity and specificity of tumor markers for ovarian cancer
| Characteristics | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Diagnostic accuracy (%) | |
|---|---|---|---|---|---|---|
| All women (n=876) | ||||||
| CA 125 | 65.7 | 80.3 | 31.2 | 94.5 | 78.5 | |
| HE4 | 35.2 | 96.6 | 58.7 | 91.6 | 89.3 | |
| ROMA | 66.7 | 86.8 | 40.7 | 95.0 | 84.4 | |
| Premenopause (n=532) | ||||||
| CA 125 | 54.3 | 73.7 | 16.3 | 94.5 | 72.0 | |
| HE4 | 28.3 | 97.3 | 50.0 | 93.5 | 91.4 | |
| ROMA | 50.0 | 85.8 | 25.0 | 94.8 | 82.7 | |
| Postmenopause (n=344) | ||||||
| CA 125 | 74.6 | 91.6 | 64.7 | 94.6 | 88.7 | |
| HE4 | 40.7 | 95.4 | 64.9 | 88.6 | 86.0 | |
| ROMA | 79.7 | 88.4 | 58.8 | 95.5 | 86.9 | |
CA 125, cancer antigen 125; HE4, human epididymis protein 4; NPV; negative predictive value; PPV, positive predictive value; ROMA, Risk of Ovarian Malignancy Algorithm.
Fig. 2The ROC curves of CA 125, HE4, and ROMA. (A) In premenopausal women and (B) in postmenopausal women.
CA 125, cancer antigen 125; HE4, human epididymis protein 4; ROC, receiver operating characteristic; ROMA, Risk of Ovarian Malignancy Algorithm.