| Literature DB >> 30539976 |
Sevki Peduk1, Mursit Dincer1, Cihad Tatar2, Bahri Ozer1, Ahmet Kocakusak1, Gamze Citlak1, Muzaffer Akinci1.
Abstract
BACKGROUND: Gastric cancer is the 3rd most common cause of death in men and the 5th common in women worldwide. Today, surgery is the only curative therapy. Currently available advanced imaging modalities can predict R0 resection in most patients, but it can only be detected with certainty in the perioperative period. AIM: To determine the role of serum CK18, MMP9, TIMP1 levels in predicting R0 resection in patients with gastric cancer.Entities:
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Year: 2018 PMID: 30539976 PMCID: PMC6284391 DOI: 10.1590/0102-672020180001e1401
Source DB: PubMed Journal: Arq Bras Cir Dig ISSN: 0102-6720
CK18, MMP9 and TIMP-1 averages of the patient group
| Mean ± SD (Min-Max) | |
| CK18 (ng/ml) | 6.0±6.4 (2-29) |
| MMP9 (ng/l) | 1542.1±2347.7 (129-8237) |
| TIMP1 (pg/ml) | 511.2±452.4 (183-1923) |
Relationships of biomarker averages with clinical T, clinical N, and accordingly with clinical stage
| CK-18 | MMP-9 | TIMP-1 | ||
| Avg. ± SD | Avg. ± SD | Avg. ± SD | ||
| Clinical T | 3 | 5.8±6.0 | 1619.0±2427.7 | 503.5±453.3 |
| 4 | 6.5±8.0 | 1234.2±2082.5 | 542.1±471.7 | |
| p | 0.942 | 0.416 | 0.482 | |
| Clinical N | Available | 9.8±9.1 | 2587.2±2879.9 | 765.8±615.3 |
| N/A | 3.6±1.3 | 901.5±1706.0 | 355.2±202.2 | |
| p | 0.045 | 0.008 | 0.022 | |
| Clinical stage | 2 | 3.6±1.3 | 655.8±1045.9 | 351.1±204.3 |
| 3 | 9.5±8.9 | 2871.5±3073.1 | 751.4±602.3 | |
| p | 0.016 | 0.002 | 0.014 |
Curve fitting analysis
| Mean | SD | Median | |
| Fit for pathological N with CK18 from CURVEFIT | 7.7 | 3.5 | 6.3 |
| Fit for pathological N with MMP9 from CURVEFIT | 7.6 | 2.3 | 6.4 |
| Fit for pathological N with TIMP1 from CURVEFIT | 7.7 | 3.1 | 6.1 |
| Mean | SD | Median | |
| Fit for CK18 with pathological N from CURVEFIT | 5.6 | 3.4 | 4.3 |
| Fit for MMP9 with pathological N from CURVEFIT | 1528.1 | 1002.2 | 1146.5 |
| Fit for TIMP1 with pathological N from CURVEFIT | 495.7 | 246.5 | 401.8 |
Logistic regression analysis of hhe probability of the number of metastatic lymph nodes being eight and over
| p | OR | 95.0% C.I.for EXP(B) | ||
| CK18 >5.6 | 0.010 | 18.200 | 1.979 | 167.337 |
| MMP9 >1528 | 0.012 | 7.111 | 1.536 | 32.912 |
| TIMP1 >495.7 | 0.012 | 7.111 | 1.536 | 32.912 |
Relationship between biomarker levels and tumor size, number of pathologic lymph nodes and pathologic stage
| CK-18 | MMP-9 | TİMP-1 | ||||
| Rho | p | Rho | p | Rho | p | |
| Tumor size | -0.093 | 0.521 | -0.052 | 0.718 | -0.019 | 0.897 |
| Pathological N | 0.491 | 0.001 | 0.396 | 0.008 | 0.497 | 0.001 |
| Pathological stage | 0.278 | 0.050 | 0.346 | 0.014 | 0.359 | 0.011 |