Skip to main content

Increased age, bilirubin, international normalized ratio, and creatinine score to triglyceride ratio are associated with alcohol-associated primary liver carcinoma: a single-centered retrospective study

Abstract

Background

This study analyzed the clinical features and biomarkers of alcohol-associated liver disease (ALD) to investigate the diagnostic value of age, bilirubin, international normalized ratio (INR), and creatinine (ABIC) score to triglyceride (TG) ratio (ABIC/TG) in ALD-associated primary liver carcinoma (PLC).

Materials and methods

Data were collected from 410 participants with ALD, and the epidemiological and clinical records of 266 participants were analyzed. Participants were divided into ALD-without-PLC and ALD-associated-PLC groups. Relationships between clinical characteristics, biomarkers and ALD-associated PLC were estimated. Serum lipid levels and liver function were compared between ALD patients without PLC and patients with ALD-associated PLC. Scoring systems were calculated to investigate ALD severity. The robustness of the relationship was analyzed by the receiver operating characteristic (ROC) curve.

Results

Age and dyslipidemia were more strongly associated with ALD-associated PLC than with ALD-without PLC, with AORs of 2.39 and 0.25, respectively, with P less than 0.05. Drinking time and average daily intake, ABIC score, and ABIC/TG ratio were significantly higher in the ALD-associated-PLC group than in the ALD-without-PLC group. The AUC for the ABIC/TG ratio predicting the incidence of PLC was 0.80 (P < 0.01), which was higher than that of the ABIC and TG scores alone; additionally, the specificity and Youden index for the ABIC/TG ratio were also higher, and the cutoff value was 6.99.

Conclusions

In ALD patients, age, drinking time, and average daily intake were risk factors for PLC. Drinking time, average daily intake, TG and ABIC score have diagnostic value for ALD-associated PLC. The ABIC/TG ratio had a higher AUC value and Youden index than the ABIC score and TG level.

Background

Alcohol-associated liver diseases (ALDs) are induced by alcohol abuse and include liver hepatitis, fibrosis, cirrhosis and hepatocellular carcinoma (HCC) [1]. HCC is the most common type of primary liver carcinoma (PLC), accounting for 90% of PLC cases [2, 3]. Alcohol is a carcinogen because it contributes to 15–30% of HCC cases [4,5,6]. However, methods for surveilling patients with ALD to facilitate the early-stage diagnosis of PLC have yet to be established.

Alcohol impacts hepatic lipid flux, thus leading to the accumulation of lipids in hepatocytes [7]. Significantly lower values for serum lipids were observed in HBV- and HCV-induced liver fibrosis [8]. Research has shown that increased serum cholesterol accumulated in NK cells could activate their effector functions against hepatoma cells to inhibit malignant tumor growth in mice [9]. However, little research has explored the association between serum lipids and the etiology of ALD-associated PLC.

Alcoholic hepatitis severity was measured by several pretreatment scoring systems, including the Maddrey Discriminant Function (DF) scoring system, Model for End-stage Liver Disease (MELD) scoring system, age, bilirubin, international normalized ratio (INR), creatinine (ABIC) scoring system and Glasgow Alcoholic Hepatitis Score (GAHS) system [10,11,12]. The current study used these scores to evaluate the severity of ALD.

This study was performed by analyzing liver function, serum lipids and the severity of ALD to identify indicators or predictors of ALD-associated PLC in China.

Methods

Information on participants from Jan. 1, 2017, to Dec. 31, 2021, was collected. The Independent Ethics Committees of Qilu Hospital approved the research protocol (No. KYLL-202202-005-1). All the information was collected from electronic medical records in the hospital. The hospital ethics committee approved the waiver statement of informed consent since the data were anonymous.

Study population

Data were collected from Qilu Hospital medical records with diagnoses associated with ALD (including alcoholic hepatitis, alcoholic cirrhosis and hepatic carcinoma accompanied by alcoholic hepatitis) between January 2017 and December 2021. The exclusion criteria include:

  1. (1)

    Participants without complete clinical information;

  2. (2)

    Participants with other liver disease histories, including autoimmune hepatitis, primary sclerosing cholangitis, virus hepatitis and liver metastases cancer;

  3. (3)

    less than 18 years of age; and.

  4. (4)

    pregnant.

Diagnoses of ALD

ALD was diagnosed according to the following criteria: (1) participants with a recent onset of jaundice of less than 3 months; (2) a long-standing history of alcoholism; and (3) moderately increased transaminase and increased bilirubin levels, which is consistent with the biological profile of alcoholic hepatitis [13].

The ALD-associated PLC group was collected from ALD participants who were diagnosed with PLC according to liver biopsy or imaging studies, including magnetic resonance imaging (MRI) and computed tomography (CT).

Diagnosis of dyslipidemia

Dyslipidemia was diagnosed according to the following criteria: participants with higher TG levels (> 1.7 mmol/L), higher Cho levels (> 6.00 mmol/L), higher LDL-C levels (> 3.37 mmol/L), or lower HDL-C levels (< 0.8 mmol/L).

Severity of ALD

Biochemical results, including total bilirubin (TBIL), direct bilirubin (DBIL), alkaline phosphatase (AKP), gamma-glutamyl transferase (GGT), aspartate transaminase (AST), alanine aminotransferase (ALT), prothrombin time (PT) and international normalized ratio (INR), were collected via routine laboratory tests upon hospital admission. The DF, MELD, ABIC and GAHS scores were all calculated to investigate the severity of ALD. The formulas for calculating each score are shown in Table 1 [10, 12, 14, 15].

Table 1 ALD scoring system formula

Classification of ALD

Participants were separated into the ALD-without-PLC group and the ALD-associated-PLC group.

Demographic and clinical features

Demographic features were analysed, including age, sex, smoking, drinking time, daily alcohol intake, hypertension, diabetes mellitus (DM), cardiovascular disease (CVD), hypersensitivity, malignancy, and family history of chronic diseases.

Biochemical results of liver function were recorded to determine the severity of ALD. TG, Cho, HDL-C, and LDL-C were recorded to evaluate dyslipidemia in ALD. White blood cell (WBC) counts and creatinine were collected to calculate scoring systems.

Statistical analyses

Continuous data are presented as the mean ± 1 standard deviation (mean ± SD) (normal distribution). Logistic regression models were performed in univariate analysis, and significant variables with P less than 0.1 were calculated in multivariable analysis. Spearman’s correlation was used to investigate the relationship between variables. The effective values of variables or models to predict the incidence of PLC were evaluated by using receiver operating characteristic (ROC) curves; subsequently, the area under the ROC curves (AUCs) and cutoff values were calculated. Statistical analyses were performed by using the SPSS software package v. 17.0 (SPSS, Chicago, IL). The results were shown graphically using GraphPad Prism 8.0. A P value below 0.05 indicates statistical nonsimilarity.

Results

Baseline characteristics

A total of 410 ALD participants were assessed, and 144 participants were excluded for various reasons. Information on 266 ALD participants was recorded and analyzed in the study. A total of 213 participants had ALD without PLC, and 53 participants had ALD-associated PLC (Fig. 1). Among ALD–without-PLC participants, 1.41% were female participants, and 98.59% were male participants, with an average age of 54.08. In the ALD-associated PLC group, 17 (32.08%) participants were diagnosed by biopsy of hepatocellular carcinoma, 20 (37.74%) participants were diagnosed by CT, and 16 (30.19%) participants were diagnosed by MRI of PLC. In the ALD-associated PLC group, 100.00% were males, and the average age was 62.4 (Table 2).

Fig. 1
figure 1

Flow chart of the study

ALD: alcohol-associated liver disease; PLC: primary liver carcinoma

Table 2 Univariate and multivariate analyses of patient characteristics in the ALD-without-PLC group and ALD-associated-PLC group

Clinical and demographic characteristics

Participants with dyslipidemia had a lower risk of PLC than those without dyslipidemia (AOR = 0.25; 95% CI, 0.14–0.44; P < 0.01). Participants over 60 had an increased risk of PLC compared with those younger than 60 years old (AOR = 2.39, 95% CI, 1.38–4.13; P < 0.05). This study did not observe significant differences in smoking, CVD, hypertension, hypersensitivity, DM or family chronic diseases between the two groups (Table 2).

Factors associated with ALD-associated PLC in the whole series

Liver function, serum lipid levels and factors related to ALD, including drinking time and average daily intake, were analysed. The results showed significant positive correlations between the ABIC score and PLC and a negative correlation between TG and PLC incidence (correlation coefficient = 0.30, -0.37, P < 0.01). Drinking time and average daily intake were positively related to ALD-associated PLC (correlation coefficient = 0.20, 0.25, P < 0.01). All the data are shown in Fig. 2. Drinking time, average daily intake, serum lipid levels and liver function were further screened. Participants in the ALD-associated-PLC group had a significantly longer drinking time and increased average daily intake than participants in the ALD-without-PLC group. The AST, Cho and TG levels were lower in ALD participants with PLC than in ALD participants without PLC. The ABIC score of ALD-associated-PLC participants was significantly increased compared with that of ALD-without-PLC patients. All the data are shown in Table 3; Fig. 3.

Fig. 2
figure 2

Correlation coefficients between factors and ALD-associated PLC. TG: triglyceride; Cho: cholesterol; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; ALT: alanine aminotransferase; AST: aspartate transaminase; GGT: gamma-glutamyl transferase; AKP: alkaline phosphatase; TBIL: total bilirubin; DBIL: direct bilirubin; PT-INR: international normalized ratio of prothrombin time; DF: Maddrey discriminant function; MELD: Model for End-stage Liver Disease; ABIC: age-bilirubin-international normalized ratio (INR)-creatinine; GAHS: Glasgow alcoholic hepatitis scores. * P ≤ 0.05; ** P ≤ 0.01

Table 3 Clinical characteristics and biomarkers of patients in the ALD-without-PLC group and ALD-associated-PLC group
Fig. 3
figure 3

Factors in the ALD-without-PLC group and ALD-associated-PLC group. ALD: alcohol-associated liver disease; PLC: primary liver carcinoma; TG: triglyceride; Cho: cholesterol; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; ALT: alanine aminotransferase; AST: aspartate transaminase; GGT: gamma-glutamyl transferase; AKP: alkaline phosphatase; TBIL: total bilirubin; DBIL: direct bilirubin; PT-INR: international normalized ratio of prothrombin time; DF: Maddrey discriminant function; MELD: Model for End-stage Liver Disease; ABIC: age-bilirubin-international normalized ratio (INR)-creatinine; GAHS: Glasgow alcoholic hepatitis scoresass. (a) Drinking time in the ALD-without-PLC group and ALD-associated-PLC group. (b) Average daily drinking in the ALD-without-PLC group and ALD-associated-PLC group. (c) ALT, AST, GGT, AKP, TBIL and DBIL levels in the ALD-without-PLC group and ALD-associated–PLC group. (d) PT-INR level in the ALD-without-PLC group and ALD-associated-PLC group. (e) Cho, TG, HDL-C and LDL-C levels in the ALD-without-PLC group and ALD-associated-PLC group. (f) DF score, MELD score, ABIC score, GAHS score and ABIC/TG ratio in the ALD-without-PLC group and ALD-associated-PLC group. * P ≤ 0.05; ** P ≤ 0.01

Prognostic value of the factors

To evaluate the reliability of the biomarkers related to ALD-associated PLC, the ABIC score was used as a positive predictive value, and TG was used as a negative predictive value because these parameters were more strongly related to the incidence of ALD-associated PLC than other factors. The AUC for TG was 0.77 (P < 0.01), with a TG level cutoff of 1.02 mmol/L based on the highest Youden index (0.47). The AUC for the ABIC score was 0.75 (P < 0.01) with an ABIC cutoff of 6.99 based on the highest Youden index (0.34). The combination of the ABIC score and TG yielded an AUC of 0.79 (P < 0.01). To obtain a cutoff point, the ABIC/TG ratio in ALD participants was analysed. The AUC for the ABIC/TG ratio was higher (AUC = 0.80, P < 0.01), with an optimal ABIC/TG cutoff of 6.99. The AUC for drinking time was 0.64 (P < 0.01), and the drinking time cutoff of 33.50 years was based on the highest Youden index (0.19). The AUC for average daily intake was 0.68 (P < 0.01), with an optimal daily drinking cutoff of 175.00 g/d. The above data are shown in Table 4; Fig. 4.

Table 4 Receiver operating characteristic (ROC) curve analysis of factors for the diagnosis of ALD-associated PLC
Fig. 4
figure 4

Receiver operating characteristic (ROC) curves of factors for the diagnosis of ALD-associated PLC. ALD: alcohol-associated liver disease; PLC: primary liver carcinoma; TG: triglyceride; ABIC: age-bilirubin-international normalized ratio (INR)-creatinine. AUC: area under the curve. (a) AUC and cutoff value of TG for the diagnosis of ALD-associated PLC. (b) AUC and cutoff value of the ABIC score for the diagnosis of ALD-associated PLC. (c) AUC of the combined ABIC score and TG for the diagnosis of ALD-associated PLC. (d) AUC and cutoff value of the ABIC score to TG ratio for the diagnosis of ALD-associated PLC. **P ≤ 0.01

Discussion

Chronic alcohol intake changes the structure and function of the liver by triggering liver steatosis, hepatitis, cirrhosis and carcinogenesis [16]. The physiopathological mechanisms that are specific to ALD-associated PLC are as follows. (1) Acetaldehyde and its deleterious effect on proteins and DNA result in the reversion of normal liver cells into stem cells that can progress to cellular carcinoma [17, 18]. (2) The activity of reactive oxygen species (ROS) and cytochrome P450 2E1 (CYP2E1) are increased by alcohol stimulation, which induces damage to proteins and DNA and participates in carcinoma progression [19, 20]. (3) The induction of chronic inflammation and immunological system damage resulting from chronic drinking is related to carcinoma [21]. (4) Alcohol directly induces aberrant DNA methylation by inhibiting the synthesis of the methyl group donor S-adenosyl-L-methionine (SAMe); ultimately, aberrant methylation of DNA could contribute to ALD-associated PLC [22, 23].

In clinical research, age is a high risk factor for many malignancies, including ALD-associated PLC [21]. This study showed that participants who were 60 years or older had an increased risk of ALD-associated PLC. Previous studies have shown that chronic excessive drinking is a positive risk factor for liver carcinoma [24, 25]. The results showed that drinking time and average daily intake were related to PLC. The AUCs of drinking time and average daily intake for predicting PLC were 0.64 and 0.68, respectively.

Alcohol abuse results in lipid accumulation, including triglycerides and cholesterol, in hepatocytes. The single nucleotide rs738409 (G) allele, which is related to fatty liver disease, has been demonstrated to be a major genetic driver of liver carcinoma in ALD [17]. Lipid accumulation in hepatocytes is related to the microRNA miR-129-5p, which has been revealed in HCC [26, 27]. Genetic mutation promotes intracellular triglyceride accumulation and lipotoxicity in hepatocytes, which is associated with PLC. In addition, recent studies have shown that serum lipids are associated with some malignant diseases, including fatty liver-associated liver cancer, melanoma, prostate cancer, breast cancer, and gastrointestinal cancer [28,29,30,31]. In this study, serum lipid levels, including TG and Cho levels, were reduced in the ALD-associated-PLC group compared with the ALD-without-PLC group. The mechanism might be related to the malnutrition and genetic mutation induced by chronic heavy drinking.

The ABIC score is a tool to assess the severity and mortality of alcoholic hepatitis (AH) patients. Recently, the ABIC score was used in other diseases. The ABIC scoring system was estimated to be more effective than the MELD scoring system in the prognosis of the mortality of HBV-related acute-on-chronic liver failure [32]. Research indicated that percutaneous coronary intervention participants had a high risk of cardiac death with an ABIC score ≥ 7.985 [33]. Previous studies have shown that age and biomarkers of bilirubin, INR and creatinine were related to PLC incidence and progression, and it is reasonable that the ABIC scoring system might be a predictive index for ALD-associated PLC patients [34,35,36,37,38]. In this research, the ABIC score of PLC participants was higher than that of ALD-without-PLC participants (AUC = 0.75, P < 0.01), and ALD participants had a higher risk of PLC with an ABIC score ≥ 6.99. The ABIC/TG ratio of liver carcinoma patients was significantly higher than that of ALD-without-PLC participants (AUC = 0.80, P < 0.01). ALD participants had a higher risk of PLC with an ABIC/TG ratio ≥ 6.99.

The accumulation of lipids in hepatocytes has been demonstrated to be related to the progression of ALD [39]. The role of serum lipid levels in ALD is still controversial [40]. Furthermore, little research has been designed to detect the association between serum lipid levels in ALD and ALD-associated PLC. The ABIC/TG ratio was confirmed to have predictive value in ALD-associated PLC incidence.

Comparisons with other studies and what does the current work add to the existing knowledge

Compared with previous studies, first, this is the first work in China to study the correlation between serum lipid levels and the incidence of ALD-associated PLC. To our knowledge, the results showed that TG and Cho were reduced in PLC participants with ALD. Second, the ABIC score was first used for predicting PLC in ALD, and the results showed that ABIC might have prognostic value in ALD. Third, the ABIC/TG ratio model was demonstrated to be effective in predicting the incidence of PLC, which has not been reported in previous studies.

Study strengths and limitations

The cutoff value of the ABIC/TG ratio could be helpful for monitoring the status of ALD. The results showed reasonable performance for the prediction of incident PLC events. The feasible index could be used to predict ALD-associated PLC in clinical applications.

This research still has certain limitations that should be considered. First, it was conducted in a single center, and the sample was not large enough to symbolize the general situation. Second, some factors were not taken into account, such as plateletcrit (PCT), prothrombin index (PI), apolipoprotein A1, and alpha fetoprotein (AFP), which may be effective predictors of severity in ALD [41,42,43]. Third, some PLC participants’ biopsy results were incomplete, and histological characteristics could not be analyzed in the study. Fourth, we excluded participants with viral hepatitis, which creates bias when compared with other studies associated with ALD. In addition, outpatient information with ALD should be collected in future studies.

Conclusion

Prognosis assessment is an essential step in evaluating lifestyle modifications and treatment needs to manage the risk of carcinogenesis. First, the study found that drinking time, average daily intake, TG and ABIC score are of diagnostic value for ALD-associated PLC. Second, the combination of the ABIC score and TG level was superior to a single factor in predicting ALD-associated PLC. The results showed that the ABIC/TG ratio was applicable to the prediction of carcinoma in ALD, and the AUC was higher than that of the combined factors. In clinical practice, the ABIC/TG ratio could be applied to better predict ALD-associated PLC. Health education is essential in ALD treatment, including quitting drinking as early as possible and nutritional support, which is necessary to maintain serum lipid levels in the normal range. In addition, a regular check-up including hepatic function, renal function, coagulation function and serum lipid levels seems to be necessary for ALD patients.

Data Availability

The data of the current study are available from the corresponding author on reasonable request.

Abbreviations

ALD:

Alcohol-associated liver disease

HCC:

Hepatocellular carcinoma

PLC:

Primary liver carcinoma

TG:

Triglyceride

Cho:

Cholesterol

HDL-C:

High-density lipoprotein cholesterol

LDL-C:

Low-density lipoprotein cholesterol

ALT:

Alanine aminotransferase

AST:

Aspartate transaminase

GGT:

Gamma-glutamyl transferase

AKP:

Alkaline phosphatase

TBIL:

Total bilirubin

DBIL:

Direct bilirubin

PT-INR:

International normalized ratio of prothrombin time

DF:

Maddrey discriminant function

MELD:

Model for End-stage Liver Disease

ABIC:

Age-bilirubin-international normalized ratio (INR)-creatinine (ABIC)

GAHS:

Glasgow alcoholic hepatitis scores

AUC:

Area under the curve

References

  1. Iredale JP, Benyon RC, Pickering J, McCullen M, Northrop M, Pawley S, et al. Mechanisms of spontaneous resolution of rat liver fibrosis. Hepatic stellate cell apoptosis and reduced hepatic expression of metalloproteinase inhibitors. J Clin Invest. 1998;102:538–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Park JW, Chen M, Colombo M, Roberts LR, Schwartz M, Chen PJ, et al. Global patterns of hepatocellular carcinoma management from diagnosis to death: the BRIDGE Study. Liver international: official journal of the International Association for the Study of the Liver. 2015;35:2155–66.

    Article  PubMed  Google Scholar 

  3. Omata M, Cheng AL, Kokudo N, Kudo M, Lee JM, Jia J, et al. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hep Intl. 2017;11:317–70.

    Article  Google Scholar 

  4. Testino G, Leone S, Borro P. Alcohol and hepatocellular carcinoma: a review and a point of view. World J Gastroenterol. 2014;20:15943–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Hlady RA, Tiedemann RL, Puszyk W, Zendejas I, Roberts LR, Choi JH, et al. Epigenetic signatures of alcohol abuse and hepatitis infection during human hepatocarcinogenesis. Oncotarget. 2014;5:9425–43.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Taniai M. Alcohol and hepatocarcinogenesis. Clin Mol Hepatol. 2020;26:736–41.

    Article  PubMed  PubMed Central  Google Scholar 

  7. You M, Arteel GE. Effect of ethanol on lipid metabolism. J Hepatol. 2019;70:237–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Vere CC, Streba CT, Streba L, Rogoveanu I. Lipid serum profile in patients with viral liver cirrhosis. Med principles practice: Int J Kuwait Univ Health Sci Centre. 2012;21:566–8.

    Article  Google Scholar 

  9. Qin WH, Yang ZS, Li M, Chen Y, Zhao XF, Qin YY, et al. High serum levels of cholesterol increase Antitumor Functions of Nature Killer cells and reduce growth of liver tumors in mice. Gastroenterology. 2020;158:1713–27.

    Article  CAS  PubMed  Google Scholar 

  10. Dominguez M, Rincón D, Abraldes JG, Miquel R, Colmenero J, Bellot P, et al. A new scoring system for prognostic stratification of patients with alcoholic hepatitis. Am J Gastroenterol. 2008;103:2747–56.

    Article  PubMed  Google Scholar 

  11. Dunn W, Jamil LH, Brown LS, Wiesner RH, Kim WR, Menon KV, et al. MELD accurately predicts mortality in patients with alcoholic hepatitis. Hepatology. 2005;41:353–8.

    Article  PubMed  Google Scholar 

  12. Forrest EH, Evans CD, Stewart S, Phillips M, Oo YH, McAvoy NC, et al. Analysis of factors predictive of mortality in alcoholic hepatitis and derivation and validation of the Glasgow alcoholic hepatitis score. Gut. 2005;54:1174–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Lucey MR, Mathurin P, Morgan TR. Alcoholic hepatitis. N Engl J Med. 2009;360:2758–69.

    Article  CAS  PubMed  Google Scholar 

  14. Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, et al. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001;33:464–70.

    Article  CAS  PubMed  Google Scholar 

  15. Maddrey WC, Boitnott JK, Bedine MS, Weber FL Jr, Mezey E, White RI. Jr. Corticosteroid therapy of alcoholic hepatitis. Gastroenterology. 1978;75:193–9.

    Article  CAS  PubMed  Google Scholar 

  16. Salaspuro M. Acetaldehyde: a cumulative carcinogen in humans. Addiction (Abingdon England). 2009;104:551–3.

    Article  PubMed  Google Scholar 

  17. Nahon P, Sutton A, Rufat P, Ziol M, Akouche H, Laguillier C, et al. Myeloperoxidase and superoxide dismutase 2 polymorphisms comodulate the risk of hepatocellular carcinoma and death in alcoholic cirrhosis. Hepatology. 2009;50:1484–93.

    Article  CAS  PubMed  Google Scholar 

  18. French SW. Epigenetic events in liver cancer resulting from alcoholic liver disease. Alcohol research: current reviews. 2013;35:57–67.

    PubMed  Google Scholar 

  19. Sarsour EH, Kumar MG, Chaudhuri L, Kalen AL, Goswami PC. Redox control of the cell cycle in health and disease. Antioxid Redox Signal. 2009;11:2985–3011.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Hagymási K, Blázovics A, Lengyel G, Kocsis I, Fehér J. Oxidative damage in alcoholic liver disease. Eur J Gastroenterol Hepatol. 2001;13:49–53.

    Article  PubMed  Google Scholar 

  21. Ganne-Carrié N, Nahon P. Hepatocellular carcinoma in the setting of alcohol-related liver disease. J Hepatol. 2019;70:284–93.

    Article  PubMed  Google Scholar 

  22. Lu SC, Mato JM. Role of methionine adenosyltransferase and S-adenosylmethionine in alcohol-associated liver cancer. Alcohol (Fayetteville NY). 2005;35:227–34.

    Article  CAS  Google Scholar 

  23. Varela-Rey M, Woodhoo A, Martinez-Chantar ML, Mato JM, Lu SC. Alcohol, DNA methylation, and cancer. Alcohol research: current reviews. 2013;35:25–35.

    PubMed  Google Scholar 

  24. Scoccianti C, Cecchini M, Anderson AS, Berrino F, Boutron-Ruault MC, Espina C, et al. European code against Cancer 4th Edition: Alcohol drinking and cancer. Cancer Epidemiol. 2015;39(Suppl 1):67–74.

    Article  Google Scholar 

  25. Makarova-Rusher OV, Altekruse SF, McNeel TS, Ulahannan S, Duffy AG, Graubard BI, et al. Population attributable fractions of risk factors for hepatocellular carcinoma in the United States. Cancer. 2016;122:1757–65.

    Article  PubMed  Google Scholar 

  26. Fang L, Sun J, Pan Z, Song Y, Zhong L, Zhang Y, et al. Long non-coding RNA NEAT1 promotes hepatocellular carcinoma cell proliferation through the regulation of miR-129-5p-VCP-IκB. Am J Physiol Gastrointest liver Physiol. 2017;313:G150–g156.

    Article  PubMed  Google Scholar 

  27. Ye J, Lin Y, Yu Y, Sun D. LncRNA NEAT1/microRNA-129-5p/SOCS2 axis regulates liver fibrosis in alcoholic steatohepatitis. J translational Med. 2020;18:445.

    Article  CAS  Google Scholar 

  28. Zhang X, Coker OO, Chu ES, Fu K, Lau HCH. Dietary cholesterol drives fatty liver-associated liver cancer by modulating gut microbiota and metabolites. 2021;70:761–74.

  29. Pih GY, Gong EJ, Choi JY, Kim MJ, Ahn JY, Choe J, et al. Associations of serum lipid level with gastric Cancer Risk, Pathology, and prognosis. Cancer Res Treat. 2021;53:445–56.

    Article  CAS  PubMed  Google Scholar 

  30. Fang Z, He M, Song M. Serum lipid profiles and risk of colorectal cancer: a prospective cohort study in the UK Biobank. 2021;124:663–70.

  31. Wang X, Wang Y, Wang M, Chen X, Cui W, Chen X. The association between serum lipid levels and histological type of breast cancer. Eur J Med Res. 2022;27:154.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Chen L, Zheng J, Cai J, Jie Y, Zhang Y, Li H, et al. Predictive value of age-bilirubin-international normalized ratio-creatinine score in short-term survival of Acute-on-chronic Hepatitis B Liver failure. Cell Physiol biochemistry: Int J experimental Cell Physiol Biochem Pharmacol. 2018;51:2484–95.

    Article  CAS  Google Scholar 

  33. Wu TT, Pan Y, Zheng YY, Yang Y, Hou XG, Deng CJ et al. Age-bilirubin-international normalized ratio (INR)-Creatinine (ABIC) score, a potential prognostic model for long-term mortality of CAD Patients after PCI. 2023;16:333–41.

  34. McGlynn KA, Petrick JL. Epidemiol Hepatocellular Carcinoma. 2021;73(Suppl 1):4–13.

    CAS  Google Scholar 

  35. Johnson PJ, Berhane S, Kagebayashi C, Satomura S, Teng M, Reeves HL, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade. J Clin oncology: official J Am Soc Clin Oncol. 2015;33:550–8.

    Article  Google Scholar 

  36. Ülger Y, Delik A. Prognostic value of international normalized ratio-to-albumin ratio and ferritin level in chronic liver patients with Hepatocellular Carcinoma. J Gastrointest cancer. 2022;53:1028–33.

    Article  PubMed  Google Scholar 

  37. Zhang L, Zhu Z, Yan H, Wang W, Wu Z, Zhang F, et al. Creatine promotes cancer metastasis through activation of Smad2/3. Cell Metabol. 2021;33:1111–1123e1114.

    Article  CAS  Google Scholar 

  38. Aljobaily N, Viereckl MJ, Hydock DS, Aljobaily H, Wu TY, Busekrus R et al. Creatine Alleviates Doxorubicin-Induced Liver Damage by Inhibiting Liver Fibrosis, Inflammation, Oxidative Stress, and Cellular Senescence. 2020;13.

  39. Xie F, Zhong Y, Wang D, So KF, Xiao J, Lv Y. Metformin protects against ethanol-induced liver triglyceride accumulation by the LKB1/AMPK/ACC pathway. 2022;49:7837–48.

  40. Loria P, Marchesini G, Nascimbeni F, Ballestri S, Maurantonio M, Carubbi F, et al. Cardiovascular risk, lipidemic phenotype and steatosis. A comparative analysis of cirrhotic and non-cirrhotic liver disease due to varying etiology. Atherosclerosis. 2014;232:99–109.

    Article  CAS  PubMed  Google Scholar 

  41. Michalak A, Cichoż-Lach H. Plateletcrit and Mean platelet volume in the evaluation of alcoholic liver cirrhosis and nonalcoholic fatty liver Disease Patients. 2021;2021:8867985.

  42. Poynard T, Aubert A, Bedossa P, Abella A, Naveau S, Paraf F, et al. A simple biological index for detection of alcoholic liver disease in drinkers. Gastroenterology. 1991;100:1397–402.

    Article  CAS  PubMed  Google Scholar 

  43. Thompson Coon J, Rogers G, Hewson P, Wright D, Anderson R, Cramp M, et al. Surveillance of cirrhosis for hepatocellular carcinoma: systematic review and economic analysis. Health Technol Assess (Winchester Eng). 2007;11:1–206.

    CAS  Google Scholar 

Download references

Acknowledgements

None.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

Zheng Luo, Xiaoqing Jia contributed to the conception of the study;Zheng Luo, Xiaoting Zhang, Rong Li, Na Yang performed the data collection, statistical analysis and paper writing;Xiaoqing Jia, Dalong Sun, Tao Zhou helped perform the analysis with constructive discussions.All of the authors have read and approved the final manuscript.

Corresponding author

Correspondence to Zheng Luo.

Ethics declarations

Ethics approval and consent to participate

The Independent Institutional Review Board of Qilu Hospital approved the study protocol (No. KYLL-202202-005-1). All clinical information was directly obtained from hospital electronic medical records. Since all data are anonymous, the informed consent waiver statement was approved by the ethics committee of Qilu Hospital.

Consent for publication

Not applicable.

Competing interests

The authors declare that no conflicts of interest exist.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Supplementary Material 3

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jia, X., Li, R., Zhang, X. et al. Increased age, bilirubin, international normalized ratio, and creatinine score to triglyceride ratio are associated with alcohol-associated primary liver carcinoma: a single-centered retrospective study. Lipids Health Dis 22, 117 (2023). https://doi.org/10.1186/s12944-023-01888-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12944-023-01888-y

Keywords