| Literature DB >> 27583415 |
Kenichiro Enooku1, Baasanjav Uranbileg2, Hitoshi Ikeda2, Makoto Kurano2, Masaya Sato2, Hiroki Kudo3, Harufumi Maki3, Kazuhiko Koike1, Kiyoshi Hasegawa3, Norihiro Kokudo3, Yutaka Yatomi2.
Abstract
Hepatocellular carcinoma (HCC) commonly develops in patients with liver fibrosis; in these patients, the blood levels of lysophosphatidic acid (LPA) and its generating enzyme autotaxin (ATX) increase with the liver fibrosis stage. We aimed to examine the potential relevance of ATX and LPA in HCC. Fifty-eight HCC patients who underwent surgical treatment were consecutively enrolled in the study. Among the LPA receptors in HCC, higher LPA2 mRNA levels correlated with poorer differentiation, and higher LPA6 mRNA levels correlated with microvascular invasion, which suggested a higher malignant potential of HCC with increased LPA2 and LPA6 expression. In patients with primary HCC, neither LPA2 nor LPA6 mRNA levels were associated with recurrence. However, when serum ATX levels were combined for analysis as a surrogate for plasma LPA levels, the cumulative intra-hepatic recurrence rate was higher in patients in whom both serum ATX levels and LPA2 or LPA6 mRNA levels were higher than the median. However, the mRNA level of phosphatidic acid-selective phospholipase A1ɑ, another LPA-generating enzyme, in HCC patients was not associated with pathological findings or recurrence, even in combination with the expression of LPA receptors. Higher LPA2 mRNA levels were associated with poorer differentiation, and higher LPA6 levels were associated with microvascular invasion in HCC; both became a risk factor for recurrence after surgical treatment when combined with increased serum ATX levels. ATX and LPA receptors merit consideration as therapeutic targets of HCC.Entities:
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Year: 2016 PMID: 27583415 PMCID: PMC5008774 DOI: 10.1371/journal.pone.0161825
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient characteristics.
| Parameter | n = 58 |
|---|---|
| Female/Male | 12/46 |
| Age (years) | 69.4 (64.1–75.3) |
| BMI (kg/m2) | 23.0 (20.3–25.9) |
| Type of hepatitis | |
| Hepatitis B (%) | 11 (19.0) |
| Hepatitis C (%) | 22 (37.9) |
| Alcoholic (%) | 11 (19.0) |
| Others (%) | 14 (24.1) |
| Primary cases/Recurrent cases | 36/22 |
| Tumor size (cm) | 2.6 (1.7–6.2) |
| Number of tumors | |
| Single (%) | 36 (62.1) |
| More than 2 (%) | 22 (37.9) |
| White blood cell count (×103/μL) | 5.25 (4.10–6.20) |
| Hemoglobin content (g/dL) | 13.5 (12.1–14.6) |
| Platelet count (×104/μL) | 15.1 (12.6–18.4) |
| CRP (mg/dL) | 0.07 (0.03–0.16) |
| Albumin (g/dL) | 4.0 (3.7–4.3) |
| AST (U/L) | 32.5 (25.0–51.8) |
| ALT (U/L) | 27.5 (19.0–43.5) |
| GGT (U/L) | 49.5 (30.5–93.8) |
| Total bilirubin (mg/dL) | 0.75 (0.60–0.98) |
| Creatinine (mg/dL) | 0.83 (0.70–0.92) |
| Triglyceride (mg/dL) | 99 (78–143) |
| Total cholesterol (mg/dL) | 177 (150–198) |
| Fasting blood glucose (mg/dL) | 101 (92–117) |
| HbA1c (NGSP) (%) | 5.9 (5.6–6.8) |
| PT-INR | 0.95 (0.91–0.99) |
| ICGR15 (%) | 11.5 (8.2–16.8) |
| AFP (ng/mL) | 7.5 (2.8–47.5) |
| AFP-L3 (%) | 2.1 (0.5–15.6) |
| PIVKA-II (mAu/mL) | 32.0 (16.3–389.8) |
| Serum ATX level (mg/L) | 1.068 (0.836–1.368) |
| Background liver | |
| Fibrosis stage 0/1/2/3/4 | 4/10/12/12/19 |
| Activity grade 0/1/2 | 9/36/22 |
| Tumor differentiation | |
| Good (%) | 9 (15.5) |
| Good to moderate (%) | 15 (25.9) |
| Moderate (%) | 25 (43.1) |
| Moderate to poor (%) | 7 (12.1) |
| Poor (%) | 2 (3.4) |
| Microvascular invasion (+)/(−) | 14/44 |
Values are presented as N (%) or medians (P25, P75).
Fig 1The mRNA expression levels of the LPA receptor and PA-PLA1ɑ, LPA-generating enzyme other than ATX, in HCC.
(a) mRNA levels of LPA receptors in HCC tissue. (b) The ratio of mRNA levels of LPA receptors between HCC and adjacent non-HCC tissue. (c) mRNA levels of PA-PLA1ɑ in HCC and adjacent non-HCC tissue.
Relationships between LPA receptors or LPA-generating enzymes and HCC profiles.
| A | ||||||
| Parameter | LPA1 | LPA2 | LPA3 | |||
| Spearman’s rho | Spearman’s rho | Spearman’s rho | ||||
| Tumor size (cm) | -0.0509 | 0.71 | 0.0753 | 0.58 | 0.0252 | 0.85 |
| Number of tumors | -0.0241 | 0.86 | -0.0326 | 0.81 | -0.0655 | 0.63 |
| Degree of tumor differentiation | 0.0069 | 0.96 | -0.3152 | 0.018 | -0.1602 | 0.24 |
| AFP (ng/mL) | 0.0888 | 0.52 | 0.2117 | 0.12 | -0.0600 | 0.66 |
| AFP-L3 (%) | 0.2622 | 0.053 | 0.3458 | 0.0097 | 0.0978 | 0.48 |
| PIVKA-II (mAu/mL) | -0.0558 | 0.69 | -0.1001 | 0.48 | -0.2290 | 0.10 |
| B | ||||||
| Parameter | LPA4 | LPA5 | LPA6 | |||
| Spearman’s rho | Spearman’s rho | Spearman’s rho | ||||
| Tumor size (cm) | -0.1594 | 0.25 | -0.2174 | 0.11 | -0.0812 | 0.55 |
| Number of tumors | -0.1019 | 0.46 | -0.0598 | 0.66 | -0.1200 | 0.38 |
| Degree of tumor differentiation | 0.0711 | 0.61 | -0.1737 | 0.20 | -0.1714 | 0.21 |
| AFP (ng/mL) | -0.0613 | 0.66 | 0.0987 | 0.47 | 0.3175 | 0.017 |
| AFP-L3 (%) | -0.0617 | 0.66 | 0.2261 | 0.097 | 0.2857 | 0.034 |
| PIVKA-II (mAu/mL) | -0.3252 | 0.020 | -0.1390 | 0.33 | -0.2330 | 0.096 |
| C | ||||||
| Parameter | Serum ATX levels | PA-PLA1ɑ | ||||
| Spearman’s rho | Spearman’s rho | |||||
| Tumor size (cm) | -0.1568 | 0.26 | -0.223 | 0.101 | ||
| Number of tumors | -0.0482 | 0.73 | 0.097 | 0.479 | ||
| Degree of tumor differentiation | 0.3045 | 0.025 | -0.06 | 0.651 | ||
| AFP (ng/mL) | 0.3530 | 0.0088 | 0.093 | 0.499 | ||
| AFP-L3 (%) | 0.2511 | 0.070 | 0.222 | 0.107 | ||
| PIVKA-II (mAu/mL) | -0.0544 | 0.71 | -0.246 | 0.0813 |
Spearman’s rank correlation was used to test the associations.
Relationships between LPA receptors or LPA-generating enzymes and microvascular invasion.
| Microvascular invasion (+) | Microvascular invasion (-) | ||
|---|---|---|---|
| LPA1 | 1.14×10−5 | 1.46×10−5 | 0.99 |
| (2.51×10−6–3.21×10−5) | (4.00×10−6–3.10×10−5) | ||
| LPA2 | 2.11×10−5 | 1.34×10−5 | 0.12 |
| (1.06×10−5–3.26×10−5) | (6.70×10−6–2.00×10−5) | ||
| LPA 3 | 2.39×10−6 | 1.70×10−6 | 0.95 |
| (3.43×10−7–5.87×10−6) | (9.00×10−7–3.30×10−6) | ||
| LPA 4 | 1.40×10−6 | 7.00×10−7 | 0.14 |
| (9.00×10−7–1.70×10−6) | (4.00×10−7–1.80×10−6) | ||
| LPA 5 | 7.79×10−6 | 6.70×10−6 | 0.78 |
| (4.15×10−6–1.23×10−5) | (3.50×10−6–1.51×10−5) | ||
| LPA 6 | 6.10×10−4 | 3.51×10−4 | 0.012 |
| (3.60×10−4–9.10×10−4) | (2.05×10−4–4.31×10−4) | ||
| Serum ATX levels | 1.131 | 1.055 | 0.97 |
| (0.801–1.183) | (0.837–1.368) | ||
| PA-PLA1α | 5.01×10−7 | 2.88×10−7 | 0.76 |
| (6.68×10−8–1.11×10−6) | (2.59×10−8–7.40×10−7) |
The values are presented as medians (P25, P75). The Wilcoxon rank-sum test was used.
Fig 2The association of LPA2 and LPA6 mRNA levels with HCC recurrence.
The intra- and extra-hepatic recurrence ratio according to the LPA2 mRNA levels (a and b) or LPA6 mRNA levels (c and d) in HCC.
Fig 3The association of serum ATX levels and LPAR mRNA levels with HCC recurrence.
(a) Intra- and (b) extra-hepatic recurrence ratio of the patients whose LPA2 mRNA levels in HCC and serum ATX levels were higher than the median and other patients. (c) Intra- and (d) extra-hepatic recurrence ratio of the patients whose LPA6 mRNA levels in HCC and serum ATX levels were higher than the median and other patients.
False-positive report probability values for associations of serum ATX levels and LPA2 and LPA6 mRNA levels with HCC recurrence.
| Patients group | OR (95% CI) | Statistical power | Prior probability | |||||
|---|---|---|---|---|---|---|---|---|
| 0.25 | 0.1 | 0.01 | 0.001 | 0.0001 | ||||
| Intrahepatic recurrence | ||||||||
| Both LPA2 mRNA levels and serum ATX levels were higher than the median | 1.82 (1.08–2.90) | 0.016 | 0.654 | 0.066 | 0.152 | 0.640 | 0.947 | 0.994 |
| Both LPA6 mRNA levels and serum ATX levels were higher than the median | 1.61 (1.03–2.55) | 0.040 | 0.823 | 0.169 | 0.340 | 0.836 | 0.980 | 0.998 |
| Extrahepatic recurrence | ||||||||
| Both LPA2 mRNA levels and serum ATX levels were higher than the median | 1.56 (0.88–2.67) | 0.10 | 0.818 | 0.337 | 0.562 | 0.927 | 0.992 | 0.999 |
| Both LPA6 mRNA levels and serum ATX levels were higher than the median | 1.40 (0.82–2.63) | 0.32 | 0.866 | 0.575 | 0.773 | 0.971 | 0.997 | 0.999 |
The OR and P values were reported in Fig 3a, 3b, 3c and 3d. Statistical power was calculated using the number of observations in the study and the OR and P values in this table.