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. Author manuscript; available in PMC: 2022 Dec 1.
Published in final edited form as: J Gastrointest Cancer. 2021 Nov 11;52(4):1211–1216. doi: 10.1007/s12029-021-00740-9

A combination of blood lymphocytes and AST levels distinguish patients with small hepatocellular carcinomas from non-cancer patients

Brian I Carr 1, Harika Gozukara Bag 2, Volkan Ince 1,3, Sami Akbulut 1,3, Veysel Ersan 1,3, Sertac Usta 1,3, Burak Isik 1,3, Zeki Ogut 3, Adem Tuncer 3, Sezai Yilmaz 1,3
PMCID: PMC8799503  NIHMSID: NIHMS1758768  PMID: 34762264

Abstract

Purpose

HCC patients typically present at an advanced tumor stage, in which surgical therapies cannot be used. Screening ultrasound exams can increase the numbers of patients diagnosed with small tumors, but are often not used in patients at risk for HCC. We evaluated clinically-available and cheap potential blood tests as biomarkers for screening patients at risk for HCC.

Methods

A comparison was made of commonly used blood count and liver function parameters in a group of patients (n=101) with small HCCs (≤3cm) or without HCC (n=275), who presented for liver transplantation in our institute.

Results

Significant differences were found for blood lymphocytes and AST levels. This 2-parameter combination was found to be significantly different between patients with small HCCs versus no HCC. Using the combination of lymphocytes and AST levels to dichotomize the HCC patients, only blood levels of alpha-fetoprotein amongst the tumor characteristics, were found to be significantly different amongst the 2 HCC groups, as well as levels of blood total bilirubin, ALKP and PLR ratio. The results were confirmed using a separate smaller cohort of non-transplanted small size HCC patients.

Conclusion

The combination of elevated blood levels of lymphocyte counts and AST levels holds promise for screening of patients with chronic liver disease who are at risk for HCC.

Keywords: Liver transplantation, Hepatocellular carcinoma, Lymphocyte, AST, biomarkers

INTRODUCTION

Most hepatocellular carcinoma (HCC) patients are diagnosed at an advanced tumor stage, when surgical therapies cannot be used (1). In our experience and that of others, only a minority of cases can currently be treated by surgery (2), which is the main treatment that results in long survival. Although some larger HCCs can be treated by resection, survival post-surgery is significantly less than for smaller size HCCs (3). Thus, tumor size is prognostically important. Given the importance of small HCC size in HCC treatment outcomes, emphasis has been placed on screening of patients at risk, such as those with chronic hepatitis B or C. Nevertheless, surveillance programs can result in diagnosis of smaller HCCs with increased survival (4, 5). Thus, screening is important, considering the estimated global 905,677 new HCC cases annually, and 830,180 deaths (6). There is thus a need for simple, cheap and reliable tumor markers to be used at patients at risk of developing HCC, to diagnose smaller size HCCs, where surgical therapy is most effective. We report here a comparison of clinical laboratory parameters in patient with small HCCs and in patients without known HCC, to evaluate differences that might have a possible future use in screening.

METHODS

Clinical methods

Patients having live donor liver transplantation for HCC (n=101) or non-tumor (n=275) liver disease indications (predominantly chronic hepatitis B) at our Liver Transplantation Institute are the subjects of this study. The data were analyzed retrospectively. This study was approved by Inonu University Institutional Review Board (Approval no: 2021/2544). Patients had either a small HCC ≤3cm or no tumor as judged by pre-transplant CAT scan evaluation. All patients had baseline radiological evaluation, complete blood counts and standard liver function tests.

Statistical methods

Normal distribution of the quantitative data was evaluated by Kolmogorov-Smirnov test. Quantitative data were summarized by median, minimum and maximum values. Mann-Whitney U test was used to compare two independent groups. Qualitative data was expressed as count and percentage. Pearson’s chi-square, continuity corrected chi-square or Fisher’s exact tests were used for comparisons where appropriate. Odds ratio (OR) estimations were obtained by both univariate and multivariate binary logistic regression analysis. To assess the discrimination ability of the two-parameter model, sensitivity, specificity and also AUC (95% C.I.) obtained by ROC analysis were used. Significance level was considered as 0.05 in all analyzes.

RESULTS

Comparison of blood parameters for non HCC and HCC patients

A comparison was made of the common peripheral blood count and liver function test parameters between patients with small HCCs (n=101) versus patients with hepatitis or cirrhosis (n=275) who did not have an HCC diagnosis on pre-transplant evaluation. Table 1a shows the median blood parameter values and the significance of their differences. Notable were the lymphocytes, total bilirubin and AST levels, that were all significantly different between the 2 patient groups at <0.001. However, WBC, eosinophils and SGPT were all significant. A univariate and multivariate logistic regression analysis was then calculated. There were statistically significant differences between the 2 clinical patient groups for the Odds Ratio (OR) only for lymphocytes (p<0.001) and AST (p<0.002) levels (Table 1b) in both the univariate and he multivariate analysis.

Table 1a.

Comparison of baseline characteristics of patients with small HCCs (MTD≤3 cm) versus non-HCC patients

non-HCC (n=275) small HCCs (n=101)
Median
(min.-max.)
Median
(min.-max.)
p
WBC (x109/L) 4.81(0.8–42.3) 5.4(1.6–19.7) 0.008
Lymphocyte(x109/L) 1.1(0.2–3.8) 1.34(0.32–7.73) 0.001
Eosinophil (x109/L) 0.1(0–1.86) 0.12(0–2) 0.005
Basophil (x109/L) 0.02(0–1) 0.03(0–0.1) 0.066
Neutrophil (x109/L) 2.8(0.43–35.4) 3(0.7–14.3) 0.232
Platelets (x109/L) 91(8–486) 81(19–394) 0.225
T. bil (mg/dL) 1.6(0.3–2.6) 1.8(0.3–33.8) <0.001
Albumin (g/dL) 2.8(1.3–4.5) 2.7(1.8–4.1) 0.133
AST (IU/L) 46(14–7456) 60(9–589) <0.001
ALT (IU/L) 33(6–4578) 42(11–675) 0.002
ALKP (IU/L) 112(25–826) 120.5(56–799) 0.474
GGT (IU/L) 70(9–544) 62(11–412) 0.619

Abbreviations: WBC, white blood count; T. bil, total bilirubin; AST, aspartate amino transferase; ALT, alanine aminotransferase; ALKP, alkaline phosphatase; GGT, gamma glutamyl transferase.

Table 1b.

Univariate and multivariate binary logistic regression analysis of patients with small HCCs versus non-HCC patients.

Univariate analysis Multivariate analysis
OR (95% C.I.) p OR (95% C.I.) p
WBC≤10 reference reference
WBC>10 1.175 (0.588–2.350) 0.648 1.041 (0.513–2.114) 0.911
Lymphs<1 reference reference
Lymphs≥1 1.886 (1.312–2.711) 0.001 1.683 (1.140–2.484) 0.009
Eosinophil≤01 reference reference
Eosinophil>01 1.406 (0.995–1986) 0.053 1.210 (0.835–1.752) 0.314
AST≤40 reference reference
AST>40 1.807 (1.253–2.607) 0.002 1.564 (0.982–2.491) 0.050
ALT≤40 reference reference
ALT>40 1.592 (1.121–2.261) 0.009 1.188 (0.770–1.831) 0.436
T.Bil≤1 reference reference
T.Bil >1 1.251 (0.835–1.873) 0.278 1.063 (0.690–1.638) 0.781

Abbreviations: WBC, white blood count (x109/L); Lymphs, lymphocytes (x109/L); Eosinophils (x109/L); T. bil, total bilirubin (mg/dL); AST, aspartate amino transferase; (IU/mL) ALT, alanine aminotransferase (IU/mL).

Two-parameter models

We next built a 2-parameter model, based upon the only 2 parameters that were individually significantly different in table 1, namely blood lymphocyte and AST levels. The median values of lymphocytes and AST for the non HCC patients were used for the dichotomization (Table 2a). The combination of low total bilirubin and low lymphocytes versus high total bilirubin and high lymphocytes showed significant differences for non HCC versus small HCC patients. The low lymphocyte and AST combination was found 18.8% of small HCC patients. But the high lymphocyte and AST combination was found in 81.2% of small HCC patients. Non HCC patient percentages were 42.9% for the low parameter combination and 57.1% for the high parameter combination. This 2-parameter pair had a sensitivity of 0.812 and a specificity of 0.429 for small HCCs (Table 2b).

Table 2a.

Comparison of 2-parameter combination in patients with small HCCs (MTD≤3 cm) versus non-HCC patients.

Lymphs<1 & AST≤40
n (%)
Lymphs≥1 & AST>40
n (%)
p
Non-HCC 118 (42.9) 157 (57.1) <0.001
Small HCC 19 (18.8) 82 (81.2)

Abbreviations: Lymphs, lymphocytes (x109/L); AST, aspartate amino transferase (IU/mL).

Table 2b.

Sensitivity and specificity of the 2-parameter pair for small HCCs.

Small HCC criterion Sensitivity Specificity AUC (95% C.I.) p-value for AUC
Lymphs≥1 & AST>40 0.812 0.429 0.620 (0.559–0.682) <0.001

Abbreviations: Lymphs, lymphocytes (x109/L); AST, aspartate amino transferase (IU/mL).

HCC tumor and blood characteristics using the 2-parameter model.

The HCC patients were next dichotomized according to presence of low or high values for the 2-parameter pair. Of the 4 HCC aggressiveness characteristics (maximum tumor diameter, multifocality, portal vein invasion or alpha-fetoprotein levels), only blood alpha-fetoprotein levels were significantly different between the 2 dichotomized small HCC groups Table 3). Interestingly, there were significant differences in blood levels of white blood count, total bilirubin, ALT, ALKP levels and PLR ratio (Table 4). This 2-parameter dichotomization suggests the presence of 2 small HCC phenotypes. Survival of small HCC patients dichotomized according to 2-parameter levels. The survival of patients with small HCCs who were treated by liver transplant was examined, after dichotomization according to presence of low or high levels of blood lymphocytes and AST. The mean survival for HCC patients was not significantly different between the patients with low or high 2-parameter levels, 3172 versus 4001 days (p=0.055).

Table 3.

Comparison of HCC parameters within the 2-parameter pairs.

Small HCC: tumor parameters
Lymphs<1 & AST≤40 Lymphs≥1 & AST>40
n Median (min.-max.) n Median (min.-max.) p
MTD size 19 2 (0.2–3) 82 1.5 (1–3) 0.262
# nodules 19 1 (1–5) 82 1 (1–21) 0.740
AFP 19 5 (0.4–436) 82 13.4 (0.7–2324) 0.002
n % n %
Tumor # ≤ 2 14 73.7 58 70.7 1.000
Tumor # > 2 5 26.3 24 29.3
PVT (none) 16 84.2 63 76.8 0.758
PVT (micro) 3 15.8 19 23.2

Abbreviations: Lymphs, lymphocytes (x109/L); AST, aspartate amino transferase (IU/mL); MTD, maximum tumor diameter; AFP, alpha-fetoprotein (IU/mL); PVT, portal vein invasion by tumor.

Table 4.

Comparison of blood parameters within the 2-parameter pairs.

Small HCC: labs
Lymphs<1 & AST≤40
(n=19)
Lymphs≥1 & AST>40
(n=82)
p
T.bil 1.1(0.37–5.05) 2.15(0.3–33.83) 0.004
WBC 3.8(1.6–9.3) 5.9(2.1–19.7) <0.001
Platelets 73(19–189) 86(20–394) 0.084
Albumin 2.7(2.2–3.9) 2.6(1.8–4.1) 0.222
ALT 17(11–57) 46(18–675) <0.001
ALKP 84(60–199) 128(56–799) 0.005
GGT 56(11–412) 63.5(15–323) 0.148
PLR 100(38–472.5) 57.57(9.74–207.37) <0.001

Abbreviations: WBC, white blood count; T. bil, total bilirubin; AST, aspartate amino transferase; ALT, alanine aminotransferase; ALKP, alkaline phosphatase; GGT, gamma glutamyl transferase; PLR, platelet lymphocyte ratio.

Validation of findings using a non-transplant HCC dataset

We evaluated a different dataset of small HCC patients who were not transplanted to confirm our findings. Using the same 2-parameter model of blood lymphocyte counts and AST levels, we also showed a statistically significant difference between patients with small HCCs who had low 2-parameter values 2.6% of the small HCC patients), compared with patients with small HCCs having high 2-parameter values (97.4% of the small HCC patients), although with only 39 HCC patients (Table 5).

Table 5.

Confirmation Table on non-transplant HCC patients.

Lymphs<1 & AST≤40
n (%)
Lymphs≥1 & AST>40
n (%)
p
Non-HCC 118 (42.9) 157 (57.1) <0.001
Small HCC 1 (2.6) 38 (97.4)

Abbreviations: Lymphs, lymphocytes (x109/L); AST, aspartate amino transferase (IU/mL).

DISCUSSION

This report shows that the combination of elevated blood levels of elevated lymphocyte counts and AST values are associated with presence of small size (≤3cm) HCCs, compared with non HCC chronic liver disease patients, both groups of whom were transplanted at our institute.

We validated the finding with a small set of non-transplant patients. Our plan is to test this 2-parameter combination on a future large HCC dataset, and then to consider evaluating the combination for use in the screening of chronic liver disease patients, who are thought to be at increased risk for subsequent HCC development.

The strength of this study is that these bloods parameters are routinely used blood tests in common clinical practice and are cheap. The weakness of the study is the fairly small HCC sample size of 101 HCC patients and the very small confirmation sample size. The reason for the latter is that adherence to screening guidelines is uncommon and most patients get diagnosed with quite advanced tumors, which were excluded from our study by design. Thus, we recognize that this is a preliminary finding and that confirmation from another, larger dataset is needed. If validated, this 2-parameter combination will need evaluation as a screening tool in a large group of prospectively followed patients with chronic liver disease, who have not yet developed HCC.

A likely reason these parameters might be useful is that HCC develops on the basis of a chronically inflamed liver (7). Elevated lymphocytes represent a peripheral blood inflammation parameter, and AST elevation is a liver damage marker. Inflammation has also been previously found to be more associated especially with smaller HCCs (8), as have other elevated liver function tests and white blood cell constituents (9). Plasma lymphocyte levels have been used as a prognostic tool for HCC in several inflammation indices, especially including PLR (platelet lymphocyte ratio) and NLR (neutrophil lymphocyte ratio) (1035) as well as predicting tumor extent (3638). This approach has also found clinical use for other cancers, such as colorectal cancer (39). Thus, thrombocytopenia-associated cirrhosis and inflammation is characterized by smaller HCCs, compared to normal platelet counts and lesser degrees of cirrhosis, being associated with larger size HCCs. Probably the small HCCs cannot grow to large size without causing liver failure when significant cirrhosis is present (40).

The finding of readily available and cheap biomarkers to better diagnose the presence of HCC at small and treatable size, is one of the main objectives of current HCC research.

Funding

This work was supported in part by NIH grant CA 82723 (B.I.C)

Abbreviations

HCC

hepatocellular carcinoma

WBC

White blood count

TBil

Total bilirubin

AST

Aspartate amino transferase

ALT

Alanine aminotransferase

ALKP

Alkaline phosphatase

GGT

Gamma glutamyl transferase

PLR

platelet lymphocyte ratio

CAT

computed axial tomography

Footnotes

Conflict of Interest Statement

The authors declare no conflict of interest. All authors have read and agree with the contents of this paper

Strobe statement: The authors have read the STROBE statement – checklist of items, and the manuscript was prepared according to the STROBE statement- checklist of items.

Statement of Ethics

This work complies with the guidelines of the World Medical Association, Declaration of Helsinki. This work was approved by our institution’s IRB as documented in the methods section.

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