Literature DB >> 27076843

The clinical significance of preoperative serum cholesterol and high-density lipoprotein-cholesterol levels in hepatocellular carcinoma.

Shan-Shan Jiang1, De-Sheng Weng1, Long Jiang1, Yao-Jun Zhang2, Ke Pan1, Qiu-Zhong Pan1, Chang-Long Chen1, Jing-Jing Zhao1, Xiao-Fei Zhang1, Hong-Xia Zhang1, Yan Tang1, Zi-Qi Zhou1, Min-Shan Chen2, Jian-Chuan Xia1.   

Abstract

PURPOSE: To evaluate the prognostic role of the preoperative plasma lipid profile, including low-density lipoprotein -cholesterol [LDL-C], high-density lipoprotein-cholesterol [HDL-C], cholesterol, and triglycerides, in hepatocellular carcinoma patients undergoing radical resection.
METHODS: Clinical data, including the preoperative plasma profile levels, were retrospectively collected and reviewed in 1411 hepatocellular carcinoma patients, who underwent operation between 2001 and 2010. Kaplan-Meier method and the Cox proportional hazards regression model were used in analyzing the DFS and OS.
RESULTS: We found that HDL-C ≤ 0.88 mmol/L and cholesterol ≤ 4.420 mmol/L were preoperative risk factors of disease-free survival (DFS) and overall survival (OS). A decreased CHO level was significantly associated with decreased OS (HR, 0.800; 95% CI, (0.691-0.926), P =0.003) and decreased DFS (HR, 0.844; 95% CI, 0.737-0.966, P=0.012). Additionally, an increased HDL-C level was shown significant association with increased OS (HR, 0.679; 95% CI, 0.570-0.808, P<0.01) and DFS (HR, 2.085; 95% CI, 1.271- 3.422, P = 0.002). In the univariate and multivariate analyses involving OS and DFS, no significant relativity were observed between the LDL-C and TG groups.
CONCLUSIONS: Decreased levels of CHO and HDL might predict worse outcomes both DFS and OS for hepatocellular carcinoma patients.

Entities:  

Keywords:  cholesterol; hepatocellular carcinoma; high-density lipoprotein-cholesterol; prognosis.

Year:  2016        PMID: 27076843      PMCID: PMC4829548          DOI: 10.7150/jca.13837

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Hepatocellular carcinoma (HCC), with estimated 782,000 new cases global incidence every year, caused nearly 746,000 deaths worldwide annually 1. However, the high risk of metastasis and recurrence after operation for patients with HCC is high 2-3. The high rate of recurrence after complete resection is a significant prognostic factor, with a cumulative recurrence rate of 50% and 60% at 3 years and 60% and 80% at 5 years 4-7. To date, a variety of predictive biomarkers have been shown to predict clinical outcomes in HCC patients. For example, Chuma M found that HSP70 could be a sensitive indicator for the differential diagnosis of early HCC from precancerous lesions or noncancerous livers 8. In addition, Jiang suggested the possible oncogenic and prognostic role of Galectin-3 in hepatocellular carcinoma 9. Due to complicated detective equipment and expensive costs, accurate, fast, as well as convenient predictive biomarkers for the identification of patients with high risk of metastasis and recurrence are urgently needed. Abnormal lipid metabolism is considered to be related to several cancers 10. In previous research, reduced pre-operative HDL-C levels were linked with poor survival in NSCLC patients 11. Additionally, low HDL-C levels are also associated with increased post-menopausal breast cancer risk 12-15. However, the role of lipid metabolism in cancer development has not been fully explored. Some recent studies have illustrated the plasma lipid profiles of hepatocellular carcinoma patients: Ahaneku et al 16 found that in HCC patients, HDL-fraction levels, including HDL-phospholipids (HDL-PL), HDL-cholesterol (HDL-C) and the ratio of HDL-C/HDL-PL, in HCC patients were significantly lower than controls. Motta et al 17 recruited 40 HCC patients, and evaluated their LDL-C and HDL-C levels. In HCC patients, the LDL-C levels were significantly lower than controls, but the HDL-C levels were not statistically significantly different from those of the controls. Chen X et al 18 reported that there was a significant difference between high and low levels of serum TC that could be used to evaluate pancreatic carcinoma risk in Europeans. However, there is little evidence about the impact on lipid profiles in clinical outcomes with hepatocellular carcinoma patients. The current study aimed to explore the predictive role of the lipid profile on overall survival (OS) and disease-free-survival (DFS) in HCC patients undergone complete resections.

Methods

Patient Selection

A total of 1411 HCC patients who had undergone complete surgical resection at Sun Yat-sen University Cancer Center from 2001 to 2010 were collected and reviewed in the present study. Approval was obtained from the Ethics Committee of the Sun Yat-sen University Cancer Center (Guangdong, China). Written informed consent was received from each patient. All patients met the following eligibility criteria: (1) all patients had pathologically confirmed hepatocellular carcinoma; (2) without cancer history; (3) no treatment before serum obtained; and (4) serum samples were collected before treatment, and the levels of LDL-C, HDL-C, TG, and CHO were tested using a Hitachi 7600-020 automatic biochemical analyzer. Clinical data, including the treatment strategy and the pathologically diagnosis, were obtained from the patients' records. For the current study, all pathological diagnoses were confirmed by an independent experienced pathologist at Sun Yat-sen University Cancer Center. Histological types were determined from the World Health Organization classification criteria.

Patient follow-up

All patients were followed-up in the outpatient department, and underwent physical examinations and laboratory tests every 3 months in the first 2 years, then every 6 months in the 3rd to 5th years, and every year for an extra 5 years or death, no matter which occurred first. The primary outcome of the present study was overall survival (OS), defined as the time from curative resection to the time of death. Relatively, the secondary outcome was disease-free survival (DFS), calculated from the date of radical operation to the date of disease recurrence or distant metastases diagnosed.

Statistical analysis

The cut-off value of the lipid profile was established by receiver operating characteristic (ROC) curve statistical analyses. The Kaplan-Meier method and the log-rank test were used to calculate the survival curves. The risk factors for survival were identified by the Cox proportional hazards model. The associations between CHO, HDL-C levels and clinic pathological parameters were tested by chi-square test. P Values of less than 0.05 were considered statistical significant in all statistical approaches. Data analyses were performed with SPSS 18.0 (PASW Statistics 18) for Windows (SPSS Inc., Chicago, IL).

Results

Patient Characteristics

After the eligibility review, 1411 HCC patients who underwent radical surgical resection were enrolled in the analysis, and their characteristics are presented in Table 1. The median follow-up time was 79 months (range: 1 to 176 months). The median age at resection was 41 years (range: 5 to 78 years), and 1243 (88.1%) of the patients were males and 68 (11.9 %) were females. Staging was conducted according to the tumor-node -metastasis (TNM) classification for HCC (Union for International Cancer Control). 848 patients (60.1 %) were diagnosed with stage I disease, other 563 (39.9%) patients were diagnosed with stage II-III disease. A total of 1231 patients (87.2%) had hepatic B virus infection.
Table 1

Characteristics of patients.

CharacteristicsPatients%
Age
≤5078455.6
>5062744.4
Gender
Female6811.9
Male124388.1
Tumor size
≤5cm54338.5
>5cm86861.5
HBsAg
Negative17912.7
Positive123187.2
Cirrhosis
NO49735.2
Yes91464.8
AFP (ng/ml)
≤2042229.9
>2098970.1
Tumor number
Single111378.9
Multiple29821.1
Tumor differentiation
I-II116982.8
III-IV24217.2
TNM stage
I84860.1
II-III56339.9
BCLC stage
O-A52737.3
B-C88462.7
CHO (mmol/L)
≤ 4.4252036.9
>4.4289163.1
TG (mmol/L)
≤ 1.0680457
>1.0660743
LDL (mmol/L)
≤3.0970149.7
>3.0971050.3
HDL (mmol/L)
≤ 0.8825618.1
>0.88115581.9

Cut-off determination of lipid metabolism

After receiver operating curve (ROC) analysis, the optimal cutoff value for CHO was 4.420 mmol/L (AUC: 0.532 mmol/L, 95% CI: 0.502 - 0.562), 1.06 mmol/L for TG (AUC: 0.537 mmol/L, 95% CI: 0.507-0.567), 0.88 mmol/L for HDL (AUC: 0.542 mmol/L, 95% CI: 0.512 - 0.572), and 3.09 mmol/L for LDL (AUC: 0.501, 95% CI: 0.471 - 0.532).

The Correlation Between the CHO, HDL-C Levels and Other Clinical Characteristics

The relationships between the clinicopathological features of HCC and CHO and HDL-C levels are summarized in Tables 2 and 3. The statistical analysis showed that the CHO level was significantly related with cirrhosis (P =0.047). However, there was no significant links between CHO levels and other clinicopathological parameters, including differentiation status, TNM stage, and BCLC stage (both P > 0.05). The HDL-C level was significantly correlated with tumor size (P <0.001), HBsAg (P =0.029), and BCLC stage (<0.001).
Table 2

Relationship between CHO Concentration and Clinical Characteristics in 1411 Patients With liver cancer.

CharacteristicsCHO≤4.420CHO>4.420P
Age0.147
≤50302482
>50218409
Gender0.239
Female55113
Male465778
Tumor size0.357
≤5cm192351
>5cm328540
HBsAg0.621
Negative69110
Positive451780
Cirrhosis0.047
NO166331
Yes354560
AFP (ng/ml)0.104
≤20169253
>20351638
Tumor number0.286
Single402711
Multiple118180
Tumor differentiation0.059
I-II422743
III-IV98148
TNM stage0.463
I306542
II-III214349
BCLC stage0.349
O-A186341
B-C334550
Table 3

Relationship Between HDL Concentration and Clinical Characteristics in 1411 Patients With liver cancer.

CharacteristicsHDL-C≤0.88HDL-C>0.88P
Age0.385
≤50136648
>50120507
Gender0.111
Female23145
Male2331010
Tumor size<0.001
≤5cm62481
>5cm194674
HBsAg0.029
Negative43136
Positive2131019
Cirrhosis0.546
NO86411
Yes170744
AFP (ng/ml)0.262
≤2084338
>20172817
Tumor number0.506
Single198915
Multiple58240
Tumor differentiation0.180
I-II204961
III-IV52194
TNM stage
I1407070.054
II-III116448
BCLC stage<0.001
O-A59467
B-C197688

The Prognostic Significance of Clinical Characteristics in Hepatocellular carcinoma

In univariate analyses, significant correlation between tumor number, size, AFP, tumor differentiation, TNM stage, BCLC stage, CHO and HDL-C levels and DFS and OS were detected. In multivariate analysis, we observed significant associations of tumor size, AFP, TNM stage, CHO, and HDL-C levels with OS (Table 4). In addition, associations between tumor size, AFP, TNM stage and CHO levels with DFS were observed. The multivariate analysis was conducted based on age at resection, gender, HBsAg, gender, cirrhosis, AFP, tumor differentiation, tumor number, tumor size, TNM stage, BCLC stage, HDL-C level, CHO level, LDL-C level and TG level.
Table 4

Univariate and Multivariate Cox Proportional Analysis with Overall Survival.

Univariate AnalysisMultivariate Analysis
ParameterHR (95% CI)PHR (95% CI)P
Age1.086(0.941-1.254)0.258
≤50
>50
Gender1.112(0.885-1.398)0.360
Female
Male
Tumor size2.088(1.782-2.447)<0.0012.297(1.217 -4.337)0.01
≤50
>5cm
HBsAg1.145(0.917-1.430)0.233
Negative
Positive
Cirrhosis1.057(0.908-1.230)0.475
NO
Yes
AFP (ng/ml)1.833(1.545-2.174)<0.0011.632 (1.372-1.941)<0.001
≤ 20
>20
Tumor number1.990(1.696-2.334)<0.001
Single
Multiple
Tumor differentiation1.514(1.266-1.810)<0.0011.250(1.042-1.499)0.016
I-II
III-IV
TNM stage2.405(2.081-2.779)<0.0012.017(1.673-2.430)<0.001
I
II-III
BCLC stage2.052(1.749-2.408)<0.001
O-A
B-C
CHO (mmol/L)0.800(0.691-0.926)0.0030.831(0.714-0.967)0.017
≤4.42
>4.42
TG (mmol/L)0.908(0.785-1.049)0.588
≤1.06
>1.06
LDL0.936(0.811-1.080)0.364
≤3.09
>3.09
HDL0.679(0.570-0.808)<0.0010.790(0.658-0.948)0.011
≤0.88
>0.88

The Prognostic Significance of the Serum Lipid Profile in Hepatocellular carcinoma

Among the 1411 patients, distant metastasis or local recurrence after a radical surgical resection was diagnosed in 345 of 520 (66.3%) patients with a CHO level ≤4.420 mmol/L and in 545 of 891 (61.2%) patients with a CHO level > 4.420 mmol/L (P = 0.012). Regarding OS, there were 300 of 520 (57.7%) patients with a CHO level ≤ 4.420 mmol/L, and 449 of 891 (50.4%) patients with a CHO level > 4.420 mmol/L (P=0.003) who occurred death. A decreased CHO level was significantly correlated with decreased OS (HR, 0.800; 95% CI, (0.691-0.926), P =0.003; Table 4; Figure 1) and remained statistically different in multivariate analysis including tumor size, AFP, tumor differentiation, and TNM stage (HR, 0.831; 95% CI, 0.714-0.967, P=0.017; Table 4). Patients with CHO levels ≤ 4.420 mmol/L presented with OS of 42 months. Conversely, patients with CHO level > 4.420 mmol/L presented with OS of 62 months. In univariate analysis, a decreased CHO level was significantly linked with decreased DFS (HR, 0.844; 95% CI, 0.737-0.966, P=0.012) (Table 5; Figure 2) and remained statistically different in multivariate analysis including tumor size, AFP, tumor differentiation, and TNM stage (HR, 0.850; 95% CI, 0.740-0.977, P=0.022) (Table 5). Patients with CHO levels ≤ 4.420 mmol/L had a median DFS of 19 months. In a contrast patients with CHO levels > 4.420 mmol/L presented with a median DFS of 26 months.
Figure 1

Kaplan-Meier curve for overall survival regarding low vs high CHO levels (P =0.003).

Table 5

Univariate and Multivariate Cox Proportional Analysis with Disease-Free-Survival.

Univariate AnalysisMultivariate Analysis
ParameterHR (95% CI)PHR (95% CI)P
Age1.049(0.920-1.197)0.476
≤50
>50
Gender1.158(0.938-1.430)0.173
Female
Male
Tumor size
≤5cm1.725(1.499-1.985)<0.0011.967(1.084-3.567)0.026
>5cm
HBsAg0.990(0.813-1.207)0.924
Negative
Positive
Cirrhosis1.003(0.873-1.151)0.970
NO
Yes
AFP (ng/ml)1.435(1.237-1.664)<0.0011.288 (1.107-1.498)0.001
≤20
>20
Tumor number1.972(1.700-2.288)<0.001
Single
Multiple
Tumor differentiation1.410(1.193-1.665)<0.0011.238(1.045-1.466)0.014
I-II
III-IV
TNM stage2.324(2.034-2.654)<0.0012.023(1.703-2.403)<0.001
I
II-III
BCLC stage1.713(1.487-1.974)<0.001
O-A
B-C
CHO (mmol/L)0.844(0.737-0.966)0.0120.850(0.740-0.977)0.022
≤ 4.42
>4.42
TG (mmol/L)0.964(0.844-1.101)0.588
≤ 1.06
>1.06
LDL (mmol/L)0.890(0.780-1.015)0.082
≤3.09
>3.09
HDL (mmol/L)0.778(0.659-0.918)0.0030.899(0.758-1.067)0.222
≤ 0.88
>0.88
Figure 2

Kaplan-Meier curve for disease-free survival regarding low vs high CHO levels (P =0.012).

Local recurrence or distant metastasis after radical surgical resection was confirmed in 176 of 256 (68.7%) patients with an HDL-C level ≤0.88 mmol/L and in 714 of 1155 (61.8%) patients with an HDL-C level > 0.88 mmol/L (P=0.002). Regarding OS, there were 161 of 256 (62.9%) patients with an HDL-C level ≤ 0.88 mmol/L, and 588 of 1155 (53.1%) patients with HDL-C levels > 0.88 mmol/L (P<0.01) who occurred death. In univariate analysis, a decreased HDL-C level was significantly associated with decreased OS (HR, 0.679; 95% CI, 0.570-0.808, P<0.01; Table 4; Figure 3) and remained statistically different in the multivariate analysis that included tumor size, AFP, tumor differentiation, and TNM stage (HR, 0.790; 95% CI, 0.658-0.948, P =0.011; Table 4). Patients with HDL-C levels ≤ 0.88 mmol/L had a median OS of 31 months. In contrast, patients with HDL-C levels > 0.88 mmol/L had a median OS of 61 months. In the univariate analysis, an increased HDL-C level was statistically linked with increased DFS (HR, 2.085; 95% CI, 1.271-3.422, P = 0.002; Table 5; Figure 4). However, in the multivariate analysis, HDL levels were not statistically significant (Table 5). Patients with HDL-C levels ≤ 0.88 mmol/L presented with a median DFS of 15 months, whereas patients with HDL-C levels > 0.88 mmol/L had a median DFS of 26 months.
Figure 3

Kaplan-Meier curve for overall survival regarding low vs high HDL-C levels (P <0.01).

Figure 4

Kaplan-Meier curve for disease-free survival regarding low vs high HDL-C levels (P =0.002).

Discussion

Due to the high rate of relapse after HCC resection, the risk factors for tumor relapse are worth studying and could help support the initiation of interventional measures earlier and improve the surveillance to reduce the rate of relapse and improve the quality of survival for patients with HCC 19-22. Several studies have confirmed that abnormal lipid profiles associated with an increased risk of recurrence and decreased survival in several cancers, including HCC 23-24. However, the present study enrolled a relatively large amount of Chinese patients to investigate the lipid profiles and HCC prognosis. Approximately 80% of endogenous cholesterol is synthesized in the hepatocellular microsomes containing cholesterol synthase 25-26. In chronic liver diseases and HCC, the metabolism and synthesis of cholesterol are damaged, which lead to a decrease in plasma cholesterol levels 27-28. In our research, we found that having a lower CHO level results in a poor prognosis in HCC patients. Additionally, lower cholesterol levels are related to cirrhosis and not to cancer stages. Similar results have been described in patients with gastric cancer 29. Decreased serum cholesterol concentration was also found in other cancers 30-31, which are probably associated with the increased metabolism of cholesterol by the tumor cells. Additionally, it is reported that the synthesis of cholesterol has been reduced in cancer patients 32, and moderate increase of serum cholesterol levels may be a protective factor on cancer mortality. In current years, there is increasing evidence that HDL-C may be linked with the tumorigenesis and progression of cancers 33. In the present study, we investigated the relation between HDL-C and hepatocellular carcinoma, and found that increased pre-operative plasma HDL-C levels were associated with increased DFS and OS after radical surgery. From previous studies, two possible molecular mechanisms have suggested for the relation between HDL-C and the relapse of HCC and poor survival. One is that HDL-C remove redundant cholesterol from an intracellular pool to maintain normal cell cholesterol homeostasis. It was observed that serum HDL-cholesterol levels were negatively associated with cholesterol levels in the tumor tissues of patients 15. Due to an increasing consumption and storage of cholesterol within tumor tissues during growth, it is potential to assume that lower HDL levels are linked with the increasing cholesterol metabolism in proliferating tissues. Another mechanism includes HDL metabolism, which could be regulated by cytokines. Increased levels of HDL have been connected with decreased circulating levels of proinflammatory cytokines, such as interleukin 6(IL-6), IL-1, and tumor necrosis factor (TNF-α), whereas linked with elevated levels of anti-inflammatory cytokines, for example IL-10 34. These proinflammatory cytokines are thought to improve cell proliferation and inhibit apoptosis 35. Our study indicated that CHO and HDL-C levels are significantly related with HCC generation and development, and might be helpful in the identification and follow-up of high-risk HCC patients. CHO and HDL-C levels at diagnosis are considered as prognostic factors for HCC.
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10.  Galectin-3 is associated with a poor prognosis in primary hepatocellular carcinoma.

Authors:  Shan-Shan Jiang; De-Sheng Weng; Qi-Jing Wang; Ke Pan; Yao-Jun Zhang; Yong-Qiang Li; Jian-Jun Li; Jing-Jing Zhao; Jia He; Lin Lv; Qiu-Zhong Pan; Jian-Chuan Xia
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Authors:  Yasuyuki Fukami; Takuya Saito; Takaaki Osawa; Takashi Arikawa; Tatsuki Matsumura; Shintaro Kurahashi; Shunichiro Komatsu; Kenitiro Kaneko; Tsuyoshi Sano
Journal:  Med Princ Pract       Date:  2020-12-24       Impact factor: 1.927

2.  Controlling nutritional status (CONUT) score-based nomogram to predict overall survival of patients with HBV-associated hepatocellular carcinoma after curative hepatectomy.

Authors:  Z-X Lin; D-Y Ruan; C-C Jia; T-T Wang; J-T Cheng; H-Q Huang; X-Y Wu
Journal:  Clin Transl Oncol       Date:  2019-06-14       Impact factor: 3.405

3.  The antitumor efficacy of docetaxel is enhanced by encapsulation in novel amphiphilic polymer cholesterol-coupled tocopheryl polyethylene glycol 1000 succinate micelles.

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Journal:  Drug Deliv Transl Res       Date:  2017-10       Impact factor: 4.617

4.  The Prognostic Impact of Controlling Nutritional Status (CONUT) in Intrahepatic Cholangiocarcinoma Following Curative Hepatectomy: A Retrospective Single Institution Study.

Authors:  Tatsunori Miyata; Yo-Ichi Yamashita; Takaaki Higashi; Katsunobu Taki; Daisuke Izumi; Keisuke Kosumi; Ryuma Tokunaga; Shigeki Nakagawa; Hirohisa Okabe; Katsunori Imai; Daisuke Hashimoto; Akira Chikamoto; Hideo Baba
Journal:  World J Surg       Date:  2018-04       Impact factor: 3.352

5.  Preoperative total cholesterol-lymphocyte score as a novel immunonutritional predictor of survival in gastric cancer.

Authors:  Daiki Matsubara; Katsutoshi Shoda; Takeshi Kubota; Toshiyuki Kosuga; Hirotaka Konishi; Atsushi Shiozaki; Hitoshi Fujiwara; Kazuma Okamoto; Michihiro Kudou; Tomohiro Arita; Ryo Morimura; Yasutoshi Murayama; Hisashi Ikoma; Yoshiaki Kuriu; Masayoshi Nakanishi; Eigo Otsuji
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6.  Prognostic nomogram integrated baseline serum lipids for patients with non-esophageal squamous cell carcinoma.

Authors:  Shulin Chen; Xiaohui Li; Xiaoyan Wen; Songguo Peng; Ning Xue; Shan Xing; Yijun Liu
Journal:  Ann Transl Med       Date:  2019-10

7.  Squalene epoxidase-induced cholesteryl ester accumulation promotes nasopharyngeal carcinoma development by activating PI3K/AKT signaling.

Authors:  Liming Li; Qingfeng Zhang; Xin Wang; Yan Li; Huifen Xie; Xiangdong Chen
Journal:  Cancer Sci       Date:  2020-05-14       Impact factor: 6.716

8.  Impacts of the SOAT1 genetic variants and protein expression on HBV-related hepatocellular carcinoma.

Authors:  Yulong Chen; Xunjun Yang; Yao Chen; Guorong Chen; Cheryl A Winkler; Ping An; Jianxin Lyu
Journal:  BMC Cancer       Date:  2021-05-26       Impact factor: 4.430

9.  Association of serum lipids and severity of epithelial ovarian cancer: an observational cohort study of 349 Chinese patients.

Authors:  Yi Zhang; Jing Wu; Jun-Ya Liang; Xing Huang; Lei Xia; Da-Wei Ma; Xin-Yu Xu; Ping-Ping Wu
Journal:  J Biomed Res       Date:  2018-09-29

10.  A novel score based on serum apolipoprotein A-1 and C-reactive protein is a prognostic biomarker in hepatocellular carcinoma patients.

Authors:  Minjie Mao; Xueping Wang; Hui Sheng; Yijun Liu; Lin Zhang; Shuqin Dai; Pei-Dong Chi
Journal:  BMC Cancer       Date:  2018-11-28       Impact factor: 4.430

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