| Literature DB >> 28460432 |
Wan Huang1, Weiping Zhou2, Can Li1, Yuan Yang2, Yu-Kui Shang1, Changsheng Chen3, Jing Zhang4, Rui Yao1, Pei Wang1, Wen Wen1, Han-Qiang Liu5, Ling Wang3, Xia Li4, Huijie Bian1, Zhi-Nan Chen1.
Abstract
Reactivation of telomerase is a critical step in the development of hepatocellular carcinoma (HCC). Here we identified the frequency of mutations in telomerase reverse transcriptase (TERT) promoter was 34% in non-clear cell HCC (NCCHCC, n = 259) and 26.3% in clear cell HCC (CCHCC, n = 57). The mutations were independently associated with poor recurrence-free survival of HCCs. Interestingly immunohistochemical analysis demonstrated a higher positive rate of TERT cytoplasmic localization (95%) than nuclear localization (64%) in HCCs. In NCCHCCs, the mutations correlated with higher TERT nuclear expression and increased telomere-dependent telomerase activity. Higher cytoplasmic expression was found in adjacent tissues compared to tumor tissues, and was associated with tumor well-differentiation and lower level of α-fetoprotein. NCCHCCs with low nuclear as well as high cytoplasmic expression correlated with better prognosis. In CCHCCs, elevated TERT cytoplasmic expression was observed in CCHCCs harboring mutations. Higher TERT cytoplasmic expression was found in tumor tissues compared to adjacent tissues, and was associated with multiple numbers of tumors and poor prognosis of CCHCCs. In conclusion, mutations in TERT promoter disclose the significance of both nuclear and cytoplasmic TERT in HCC. Cytoplasmic TERT should also be considered when determining prognosis and treatment of HCCs.Entities:
Keywords: clear cell hepatocellular carcinoma; mutation; non-clear cell hepatocellular carcinoma; subcellular localization; telomerase
Mesh:
Year: 2017 PMID: 28460432 PMCID: PMC5432257 DOI: 10.18632/oncotarget.15458
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1TERT promoter mutations in different subtypes of HCC and the prognostic value of mutations in predicting recurrence after resection
(A) Frequency of TERT promoter mutations in different subtypes of HCC. (B) TERT promoter mutations in the process of HCC progression according to BCLC staging. The frequency was stepwise increased during HCC progression (P = 0.038, χ2-test). (C) Kaplan-Meier plots of disease-free survival curves for patients with primary HCC stratified by TERT promoter mutation status (n = 275). Survival analysis was performed using the log-rank test. Abbreviations: BCLC, Barcelona Clinic Liver Cancer; CCHCC, clear cell hepatocellular carcinoma; NCCHCC, non-clear cell hepatocellular carcinoma.
Figure 2Cytoplasmic and nuclear expression of TERT in HCC
Representative images of immunohistochemical staining in NCCHCC and CCHCC, and the positive rate of TERT localized in both cytoplasm and nucleus, exclusively in the cytoplasm, and exclusively in the nucleus.
Figure 3TERT promoter mutations correlated with telomere-dependent activity in NCCHCC and elevated TERT cytoplasmic expression in CCHCC
(A) Effects of TERT promoter mutations on TERT subcellular expression level in NCCHCCs and CCHCCs. TERT expression in cytoplasm and nucleus were evaluated by immunohistochemical score. Results were reported in median with interquartile range and compared using the non-parametric Mann-Whitney test. (B) Effects of TERT promoter mutations on telomere-dependent activity in NCCHCCs and CCHCCs. The results were reported in median with interquartile range and were compared using the non-parametric Mann-Whitney test. (C) Telomerase activity correlated with TERT nuclear expression in NCCHCCs. P value was derived from Pearson correlation analysis. (D and E) Kaplan-Meier plots of disease-free survival curves for patients with NCCHCC (n = 228), and CCHCC (n = 47) stratified by TERT promoter mutation status. Survival analysis was performed using the log-rank test. Abbreviations: BCLC, Barcelona Clinic Liver Cancer.
Figure 4TERT subcellular expression in paired adjacent and tumor tissues of NCCHCC and CCHCC
TERT expression in cytoplasm and nucleus was evaluated by immunohistochemical score for each sample. Statistical results were reported in median with interquartile range and were compared using the non-parametric Mann-Whitney test.
Comparison of TERT nuclear and cytoplasmic expressions between different subgroups of HCCs stratified by host characteristics
| Variables | NCCHCC ( | CCHCC ( | ||||||
|---|---|---|---|---|---|---|---|---|
| Nuclear expression | Cytoplasmic expression | Nuclear expression | Cytoplasmic expression | |||||
| Gender | 0.810 | 0.983 | 0.137 | 0.335 | ||||
| Male | 0.1 (0–1.0) | (0–1.5) | 0.375 (0–1.0) | 0.8 (0.2–1.5) | ||||
| Female | 0.2 (0–0.5) | 0.65 (0–1.6) | 0.5 (0–1.0) | 0.6 (0.2–1.5) | ||||
| Age (years) | 0.788 | 0.645 | 0.062 | 0.089 | ||||
| < 55 | 0.10 (0–1.0) | 0.7 (0–1.6) | 0.25 (0–0.8) | 0.8 (0.2–1.5) | ||||
| ≥ 55 | 0.025 (0–1.0) | 0.8 (0.1–1.3) | 0.4 (0–1.0) | 0.7 (0.2–1.2) | ||||
| Cirrhosis | 0.535 | 0.052 | 0.331 | 0.581 | ||||
| Yes | 0.05 (0–0.7) | 0.8 (0–1.5) | 0.4 (0–1.0) | 0.6 (0.2–1.5) | ||||
| No | 0.15 (0–1.0) | 0.7 (0–1.6) | 0.2 (0–0.5) | 0.8 (0.2–1.5) | ||||
| α-Fetoprotein (μg/L) | 0.440 | 0.329 | 0.984 | |||||
| ≤ 200 | 0.05 (0–0.8) | 0.8 (0–1.5) | 0.4 (0–1.0) | 0.75 (0.2–1.5) | ||||
| > 200 | 0.1 (0–1.0) | 0.7 (0–1.6) | 0.2 (0–1.0) | 0.8 (0.2–1.5) | ||||
| Tumor differentiation | 0.669 | 0.523 | 0.626 | |||||
| Well and Moderate | 0.1 (0–0.8) | 0.8 (0–1.6) | 0.45 (0–1.0) | 0.8 (0.2–1.5) | ||||
| Poor | 0.1 (0–1.0) | 0.6 (0–1.5) | 0.4 (0–1.0) | 0.7 (0.2–1.5) | ||||
| BCLC stage | 0.111 | 0.808 | 0.814 | |||||
| 0 and A | 0 (0–1.0) | 0.7 (0–1.6) | 0.55 (0–1.0) | 0.7 (0.2–1.5) | ||||
| B and C | 0.15 (0–1.0) | 0.7 (0–1.5) | 0.3 (0–0.8) | 0.8 (0.2–1.5) | ||||
| Tumor size (cm) | 0.259 | 0.355 | 0.242 | |||||
| < 5 | 0 (0–1.0) | 0.7 (0–1.6) | 0.5 (0–1.0) | 0.75 (0.2–1.5) | ||||
| ≥ 5 | 0.15 (0–0.9) | 0.8 (0–1.5) | 0.3 (0–0.8) | 0.8 (0.2–1.5) | ||||
| Portal vein thrombosis | 0.735 | 0.642 | 0.348 | 0.978 | ||||
| Yes | 0.1 (0–1.0) | 0.7 (0–1.6) | 0.15 (0–0.8) | 0.7 (0.3–1.5) | ||||
| No | 0.05 (0–0.8) | 0.65 (0–1.3) | 0.4 (0–1.0) | 0.8 (0.2–1.5) | ||||
| Number of tumors | 0.898 | 0.848 | ||||||
| Single | 0 (0–1.0) | 0.7 (0–1.6) | 0.4 (0–1.0) | 0.7 (0.2–1.2) | ||||
| Multiple | 0.3 (0–1.0) | 0.7 (0–1.5) | 0.4 (0–0.8) | 0.9 (0.5–1.5) | ||||
| Family history | 0.823 | 0.145 | 0.364 | 0.627 | ||||
| Yes | 0.025 (0–1.0) | 1 (0–1.5) | 0.3 (0–1.0) | 0.8 (0.2–1.5) | ||||
| No | 0.1 (0–1.0) | 0.7 (0–1.6) | 0.45 (0–1.0) | 0.75 (0.2–1.5) | ||||
TERT nuclear and cytoplasmic expressions were reported in median with interquartile range of immunohistochemical score. P values were derived from the non-parametric Mann-Whitney test. * indicates statistical significant (P < 0.05). Abbreviations: BCLC, Barcelona Clinic Liver Cancer.
Figure 5Impacts of TERT nuclear and cytoplasmic expressions on recurremce-free survival of patients with NCCHCC and CCHCC
Kaplan-Meier plots of recurrence-free survival curves for NCCHCC (n = 109) and CCHCC (n = 42) (A and B) patients stratified by the level of TERT cytoplasmic and nuclear expression. Survival analysis was performed using the log-rank test.