*Department of Anatomical Pathology, Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia, **Department of Surgery, Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
ABSTRACT
Objective: Although histological grade and microvascular invasion are known predictors for patient survival and recurrence in hepatocellular carcinoma (HCC), their relationship with various clinical and histomorphological features of HCC remains unclear.
Materials and Methods: Medical records were retrieved from 61 patients who were diagnosed with HCC from 2008-2018. Clinical and histomorphological variables that were hypothesized to be associated with histological grade and microvascular invasion were analyzed statistically using the Chi-square test or the Fisher’s exact test as alternatives. Multivariate analysis was performed with logistic regression model.
Results: The majority of the patients had well to moderately-differentiated HCC (67.2%) with some of them presenting microvascular invasion (57.4%). Alpha-fetoprotein level (AFP) ≥100 ng/ml (p=0.036), tumor size >7cm (p=0.031) and mitotic index ≥5 per 10 high power field (p=0.009) were significantly correlated with poorly-differentiated HCC. Mitotic Index ≥5 per 10 high power field was an independent factor for poorly differentiated HCC. Meanwhile BCLC stage B and mitotic index were also an independent factor for the presence of microvascular invasion.
Conclusion: Larger tumor size and higher mitotic index was significantly correlated and independent factors for poorly differentiated HCC and microvascular invasion. In biopsy specimens for which the microvascular invasion is difficult to assess, histological grade, tumor size and mitotic index may be beneficial to depict the prognosis of patients with HCC.
Keywords: Hepatocellular carcinoma; tumor grade; microvascular invasion; Indonesia (Siriraj Med J 2023; 75: 817-826)
INTRODUCTION
Hepatocellular carcinoma (HCC) is the second most frequent cancer in Asia and the second leading cause of cancer-related deaths in East Asia and Sub-Saharan Africa. Moreover, China, Southeast Asia, Japan and Sub-Saharan Africa are areas with a high incidence of HCC with an incidence >20/100,000.1,2
The current HCC diagnostic approach relies on radiologic imaging and the use of histopathology
biopsy is limited to specific cases.1,3 Surveillance through ultrasonography (US) examination and alpha-fetoprotein (AFP) measurement should be carried out every 6 months in individuals with a high risk of HCC to achieve early diagnosis.4 When nodules are found on the liver US with increased AFP level, a computed tomography (CT) scan or three-phase magnetic resonance imaging (MRI) should be performed. Typical features of HCC on CT scan or three-phase MRI are sufficient for diagnosis of
Corresponding author: Marini Stephanie E-mail: marini2sh@gmail.com
Received 21 August 2023 Revised 8 October 2023 Accepted 9 October 2023 ORCID ID:http://orcid.org/0000-0002-5743-688X https://doi.org/10.33192/smj.v75i11.264786
All material is licensed under terms of the Creative Commons Attribution 4.0 International (CC-BY-NC-ND 4.0) license unless otherwise stated.
HCC, otherwise, tumor biopsy should be carried out for diagnostic purposes.4
Although various therapeutic modalities are available, HCC is generally diagnosed at an advanced stage when curative therapy is not possible. Therefore, at present, the prognosis of HCC remains poor.5 Histopathological examination is involved in determining therapy and prognosis through the assessment of histological parameters which cannot be replaced by radiologic examinations.3 The present study aimed to provide data on the clinical and histomorphology characteristics of HCC and clarify how these relate to important prognostic factors of HCC, particularly histologic grade and microvascular invasion.
MATERIALS AND METHODS
Medical records of 61 patients were retrieved from 2008-2018 archives for consecutive evaluation. Inclusion criteria were all resection cases with a diagnosis of HCC in the Department of Anatomic Pathology, FKUI/ RSCM. Exclusion criteria were biopsy cases, cases with unrepresentative slide and cases with a final diagnosis of non-HCC. The clinical variables assessed were sex, age, hepatitis infection, AFP level, cirrhosis status and Barcelona Clinic Liver Cancer (BCLC) staging. Triphasic CT and additional MRI with contrast for patients with inconclusive CT were performed on all patients and yielded inconclusive radiologic results. Hepatitis infection involves positive serological markers for hepatitis B or C virus (HBV and HCV, respectively) before or during HCC diagnosis. AFP levels were measured at the time of HCC diagnosis. Cirrhosis status was determined radiologically with a US Fibroscan from Echosans and confirmed through histopathological analysis. The BCLC criteria classify clinical stages as 0, A, B, and C.6
Two independent pathologists evaluated the pathology reports and histologic specimens of all patients. The histomorphology variables assessed were tumor size, histological pattern, mitotic index, special type carcinomas, histological grade and microvascular invasion. Tumor size was defined as the largest dimension from resection or radiologic findings and was categorized based on the Milan criteria.7 The histological patterns that were identified included macrotrabecular, microtrabecular, solid and pseudoglandular. Mitotic index was categorized as low or high and defined as <5 per 10 high power field (HPF) and ≥5 per 10 HPF respectively according to a study by Ha et al.8 Special type carcinomas that were identified included fibrolamellar, scirrhous, undifferentiated carcinoma, lymphoepithelial, sarcomatous, steatohepatitic and macrotrabecular massive. HCC was categorized into good-to-moderate or poor differentiation based on
histological grade. The cells of HCC with well-to-moderate differentiation display mildly to moderately atypical nuclei, often with nucleoli, and copious eosinophilic to basophilic cytoplasm. Meanwhile, the cells of HCC with poor differentiation were anaplastic with pleomorphic and atypical nuclei, and sparse basophilic cytoplasm.9 Malignant cells in peritumoral blood vessels indicate microvascular invasion.
The Statistical Package for Social Sciences software (version 25.0; IBM Corp.) was used for analysis. Variables hypothesized to be associated with histological grade or microvascular invasion were analyzed with the Chi-square test or its alternatives Fisher’s exact test. Multivariate analysis was performed with logistic regression to draw significant factors associated with features of HCC, the variables were selected from bivariate analysis with p-value ≤0.25.
The Ethics Committee of the Faculty of Medicine Universitas Indonesia and Dr. Cipto Mangunkusumo Hospital have granted ethical approval for this study (protocol number 23-01-0066) under the decision number KET-84/UN2.F1/ETIK/PPM.00.02/2023.
RESULTS
Data from 61 patients with HCC were retrieved. Of these, 80% were male with a mean age of 51.8 years ± 15.643, 20% of them were <40 years old and the youngest patient was 17 years old. Most patients had hepatitis infection. Most patients had stage B HCC according to the BCLC staging system (91.8%). Tumor size ranged from 2.5-25 cm. A similar proportion of cirrhotic and non-cirrhotic patients was found. The median AFP level was 113.5 ng/ml. The mean mitosis count was 6.72 over 10 HPF. The most common histological pattern was the microtrabecular pattern (72.1%). Only 5 patients (8.1%) were found to have steatohepatitic HCC. Most patients had well to moderately-differentiated HCC (67.2%). The microvascular invasion was observed in most cases (57.4%). Clinical and histological characteristics of HCC can be seen in Table 1. Representative microscopic images of the HCC found in the current patients can be seen in Fig 1.
Statistical tests examined the association between sex, age, AFP level, hepatitis infection, BCLC staging, cirrhosis status, tumor size and mitotic index with histological grade, microvascular invasion, and well- differentiated with no microvascular invasion. There was a significant association between AFP level, tumor size and mitotic index with histological grade. AFP level
≥100 ng/ml (p=0.036), tumor size >7cm (p=0.031) and mitotic index ≥5 per 10 HPF (p=0.009) were significantly
TABLE 1. Clinical and histological characteristics of HCC (n=61).
Characteristics n (%)
Sex
Male 49 (80.3)
Female 12 (19.7)
Age in years, mean (SD) 51.80 ± 15.643
Hepatitis infection, n (%)
Non-hepatitis 13 (15.9)
BCLC staging
Stage 0 Stage A Stage B Stage C
0 (0)
5 (8.2)
56 (91.8)
0 (0)
Hepatitis 42 (58.5)
Tumor size
≤7 cm
>7 cm
24 (39.3)
37 (60.7)
Tumor size in cm, median (minimum-maximum) 10.9 (2.0-25)
Cirrhosis status
Non-cirrhotic | 29 (47.5) |
Cirrhotic | 32 (52.5) |
Median (minimum-maximum) AFP level, ng/ml | 113.5 (1.5 – 3898) |
Mitosis count in 10 HPF, mean (SD) | 6.72 (5.16) |
Histological grading | |
Well-moderate differentiation | 41 (67.2) |
Poor differentiation | 20 (32.8) |
Microvascular invasion | |
Positive | 35 (57.4) |
Negative | 26 (42.6) |
Histological pattern* | |
Macrotrabecular | 16 (26.2) |
Microtrabecular | 44 (72.1) |
Solid | 31 (50.8) |
Pseudoglandular | 14 (22.9) |
Special type carcinoma | |
Fibrolamellar | 0 (0) |
Scirrhous | 0 (0) |
Undifferentiated | 0 (0) |
Lymphoepithelioma-like | 0 (0) |
Sarcomatoid | 0 (0) |
Steatohepatitis | 5 (8.1%) |
Macrotrabecular massive | 0(0) |
* More than one pattern can be observed in one tumor.
Abbreviations: SD - standard deviation, BCLC - Barcelona Clinic Liver Cancer, AFP - alpha-fetoprotein, HPF - high power field
Fig 1. Histomorphology features of HCC. A) Well-moderate differentiation with microtrabecular and pseudoglandular patterns (HE, 100x and 400x). B) Poor differentiation with solid patterns (HE, 100x and 400x). C) Microvascular invasion (HE, 100x). D) Mitosis in poorly- differentiated HCC (HE, 400x). E) Non-tumor liver tissue showing cirrhosis with bridging fibrosis and regenerative nodules (HE, 100x). F) Steatohepatitic HCC with diffuse microvesicular and macrovesicular steatosis (HE, 400x).
correlated with poorly-differentiated HCC. Significant correlations were found between BCLC staging, tumor size and mitotic index with microvascular invasion. BCLC stage B (p=0.011), tumor size >7cm (p=0.046) and mitotic index ≥5 per 10 HPF (p=0.001) were significantly correlated with the presence of microvascular invasion. Significant correlations were also found between age, AFP level, BCLC staging, tumor size, and mitotic index with well-differentiated and no microvascular invasion. Age ≤60 (p=0.022), AFP level < 100 (p=0.000), BCLC
stage A (p=0.015), tumor size ≤7 (p=0.001), and mitotic
index <5 (p=0.000). Multivariate analysis was conducted from factors with p ≤ 0.25 in bivariate analysis. Mitotic Index ≥ 5 per 10 HPF were independent risk factors for poorly differentiated tumor, with an odds ratio of mitotic index (95% CI: 1.420-35.550; p≤0.005). Mitotic Index ≥ 5 per 10 HPF (95% CI: 1.934-25.853; p≤0.005)
was an independent risk for microvascular invasion. On the other hand, AFP level <100 and mitotic index
< 5 per 10 HPF were independent risk factors for well- differentiated with no microvascular invasion. Data are presented in Table 2, Table 3 and Table 4.
TABLE 2. Association clinicopathological features with histological grading (n=61).
Poor
Histological Grading
Well-moderate
Multivariate
Factors
differentiation, n (%)
differentiation, n (%)
P-value
OR
95% CI
P-value OR
95% CI
Sex
Male | 16 (26.2) | 33 (54.1) | ||||||
Female | 4 (6.6) | 8 (13.1) | 1.0002 | 1.031 | 0.270-3.3941 | |||
Age, years | ||||||||
≤60 | 15 (24.6) | 29 (47.5) | ||||||
>60 | 5 (8.2) | 12 (19.7) | 0.7271 | 0.806 | 0.239-2.716 | |||
AFP level, ng/ml | ||||||||
≥100 | 14 (23) | 17 (27.9) | ||||||
<100 | 6 (9.8) | 24 (39.3) | 0.0361 | 3.294 | 1.053-10.305 | 0.783 | 1.208 | 0.315-4.625 |
Hepatitis infection | ||||||||
Non-hepatitis | 2 (3.3) | 11 (18) | Reference | |||||
Hepatitis | 18 (29.5) | 30 (49.2) | 0.1892 | 3.300 | 0.656-16.608 | |||
BCLC staging | ||||||||
Stage A | 1 (1.6) | 4 (6.6) | ||||||
Stage B | 19 (31.1) | 37 (60.7) | 1.0002 | 2.054 | 0.214-19.685 | |||
Tumor size, cm | ||||||||
>7 | 16 (26.2) | 21 (24.4) | ||||||
≤7 | 4 (6.6) | 20 (32.8) | 0.0311 | 3.810 | 1.086-13.365 | 0.460 | 1.690 | 0.420-6.804 |
Cirrhosis status | ||||||||
Non-cirrhotic | 9 (14.8) | 20 (32.8) | ||||||
Cirrhotic | 11 (18) | 21 (34.4) | 0.7811 | 1.164 | 0.398-3.403 | |||
Mitotic index, per 10 HPF | ||||||||
≥ 5 | 15 (27.8) | 19 (35.2) | ||||||
< 5 | 2 (3.7) | 18 (33.3) | 0.0091 | 7.105 | 1.420-35.550 | 0.017 | 7.105 | 1.420-35.550 |
Abbreviations: OR – odd ratio, CI – Confident Interval, AFP - alpha-fetoprotein, BCLC - Barcelona Clinic Liver Cancer, HPF - high power field. 1Chi-square test, 2Fischer’s exact test
Retnowulan et al.
TABLE 3. Association between clinicopathological features with microvascular invasion (n=61).
Factors Microvascular Invasion Multivariate | ||||||||
Positive, n (%) | Negative, n (%) | P-value | OR | 95% CI | P-value | OR | 95% CI | |
Sex | ||||||||
Male | 30 (49.2) | 19 (31.1) | ||||||
Female | 5 (8.2) | 7 (11.5) | 0.2191 | 0.452 | 0.125-1.633 | 0.234 | 0.382 | 0.078-1.864 |
Age, years | ||||||||
≤60 | 27 (44.3) | 17 (27.9) | ||||||
>60 | 8 (13.1) | 9 (14.8) | 0.3131 | 0.560 | 0.181-1731 | |||
AFP level, ng/ml | ||||||||
≥100 | 15 (24.6) | 15 (24.6) | ||||||
<100 | 20 (32.8) | 11 (18.0) | 0.2521 | 1.818 | 0.651-5.075 | |||
Hepatitis infection | ||||||||
Non-hepatitis | 9 (14.8) | 4 (6.6) | Ref | |||||
Hepatitis | 26 (42.6) | 22 (36.1) | 0.3302 | 0.525 | 0.142-1942 | |||
BCLC staging | ||||||||
Stage A | 0 (0) | 5 (8.2) | ||||||
Stage B | 35 (57.4) | 21 (34.4) | 0.0112 | n/aa | n/aa | 0.999 | 2700265285 | 0.000-. |
Tumor size, cm | ||||||||
>7 | 25 (41) | 12 (19.7) | ||||||
≤7 | 10 (16.4) | 14 (23) | 0.0461 | 2.917 | 1.006-8.453 | 0.458 | 1.673 | 0.429-6.515 |
Cirrhosis status | ||||||||
Non-cirrhotic | 18 (29.5) | 11 (18) | ||||||
Cirrhotic | 17 (27.9) | 15 (24.6) | 0.4811 | 0.693 | 0.249-1.925 | |||
Mitotic index, per 10 HPF | ||||||||
≥ 5 | 27 (50) | 7 (13) | ||||||
< 5 | 7 (13) | 13 (24.1) | 0.0011 | 7.163 | 2.075-24.731 | 0.003 | 7.071 | 1.934-25.853 |
Abbreviations: OR – odd ratio, CI – Confident Interval, AFP - alpha-fetoprotein, Ref - reference value, BCLC - Barcelona Clinic Liver Cancer, HPF - high power field.
1Chi-square test, 2Fisher’s exact test, aNo positive cases of stage A in BCLC Staging, therefore the analysis of OR estimate could not be done.
TABLE 4. Association between clinicopathological features with well-differentiated and no microvascular invasion (n=61).
Factors
Histological Grading
Multivariate
Poor
differentiation, n (%)
Well-moderate
differentiation, n (%)
P-value
OR
95% CI
P-value OR
95% CI
Sex
Male | 4 (6.6) | 37 (60.7) | ||||||
Female | 12 (4.9) | 8 (13.1) | 0.7152 | 1.542 | 0.394-6.040 | |||
Age, years | ||||||||
≤60 | 8 (13.1) | 36 (59.0) | ||||||
>60 | 8 (13.1) | 9 (14.8) | 0.0482 | 4.000 | 1.178-13.579 | 0.787 | 1.418 | 0.112-17.925 |
AFP level, ng/ml | ||||||||
≥100 | 15 (24.6) | 15 (24.6) | ||||||
<100 | 1 (1.6) | 30 (49.2) | 0.0001 | 0.33 | 0.004-0.277 | 0.014 | 0.056 | 0.006-0.552 |
Hepatitis infection | ||||||||
Non-hepatitis | 4 (6.6) | 9 (14.8) | Ref | |||||
Hepatitis | 12 (19.7) | 36 (59.0) | 0.7282 | 0.750 | 0.195-2.884 | |||
BCLC staging | ||||||||
Stage A | 4 (6.6) | 1 (1.6) | ||||||
Stage B | 12 (19.7) | 44 (72.1) | 0.0152 | 0.068 | 0.007-0.668 | 0.492 | 0.178 | 0.001-24.575 |
Tumor size, cm | ||||||||
>7 | 4 (6.6) | 33 (54.1) | ||||||
≤7 | 12 (19.7) | 12 (19.7) | 0.0011 | 0.121 | 0.033-0.449 | 0.213 | 0.324 | 0.55-1.914 |
Cirrhosis status | ||||||||
Non-cirrhotic | 7 (11.5) | 22 (36.1) | ||||||
Cirrhotic | 9 (14.8) | 23 (37.7) | 0.7271 | 1.230 | 0.390-3875 | |||
Mitotic index, per 10 HPF | ||||||||
≥ 5 | 2 (3.7) | 32 (59.3) | ||||||
< 5 | 11 (20.4) | 9 (16.7) | 0.0002 | 0.051 | 0.010-0.274 | 0.003 | 0.065 | 0.010-0.406 |
Abbreviations: OR – odd ratio, CI – Confident Interval AFP - alpha-fetoprotein, Ref - reference value, BCLC - Barcelona Clinic Liver Cancer, HPF - high power field.
DISCUSSION
The average age of patients diagnosed with HCC in areas with high HCC frequency is found to be 10-20 years lower than that in areas with low HCC frequency. This is likely caused by risk factors and age when exposed. HBV is the most common risk factor for HCC and is usually acquired at birth or in childhood.10 In agreement with the findings of Xiao et al, the mean age of the patients in the present study was 51.80 ± 15.643 years and the age was not associated with both histological grade and microvascular invasion.11 Being an endemic country, the frequency of young patients with HCC (>40 years old) is quite high in the present study (20%).
About 70-90% of patients had a history of chronic liver disease due to HBV and/or HCV infection, alcoholic liver disease or non-alcoholic steatohepatitis (NASH).12 Atisook et al also reported the most common precursor are cirrhosis and chronic hepatitis due to HBV and HCV.13 The present study showed a similar result in which hepatitis infection was predominantly present in patients with HCC. However, hepatitis infection status was not associated with histological grading, microvascular invasion, and well-differentiated and no microvascular invasion.
Epidemiologically, HCC is more common in males, with male/female ratio ranging from 2:1-4:1.14 Males are more susceptible to high-risk chronic diseases (HCC) due to exposure to risk factors like alcohol use and Hepatitis infections. In addition, androgens promote DNA damage and oxidative stress, while estrogens suppress tumor by reducing the effect of interleukin-6.14 Accordingly, the present study showed a higher prevalence of HCC in men. Histological grade and microvascular invasion are associated prognosis and survival in patients with HCC.9,15 HCC is a heterogeneous tumor due to the gradual dedifferentiation of cells during hepatocarcinogenesis. The histological grade may predict HCC’s biological nature.16 Sasaki et al, concluded that any poorly-differentiated components within a tumor increase its degree of malignancy.9 Tumor recurrence is associated with poor prognosis. According to a study by Lim et al, microvascular invasion is a reliable indicator of disease recurrence and poor overall survival.17 Moreover, it causes frequent recurrence within 30 months of resection because of its role in intrahepatic metastases.17
In the present study, tumor size and mitotic index linked to histologic grade and microvascular invasion. Dai et al and Nagano et al also showed that larger tumor size links to microvascular invasion and higher histological grade.18,19 In the current study, tumors size >7 cm was associated with poorly-differentiated HCC and positive
microvascular invasion. Vascular endothelial growth factor (VEGF) overexpression was found in tumors >5 cm in size. VEGF promotes endothelial cell proliferation, migration and increased vascular permeability.20 Following this study, Pawlik et al found that the larger the size of the tumor, the higher the histological grade.21 Tumor growth gradually changes its pathobiological nature. In a study about DNA ploidy, the majority of HCC with tumors <3 cm had diploid DNA with a relatively more benign nature and an improved postoperative prognosis. By contrast, HCCs with tumors ≥3 cm were shown to have aneuploid DNA and presented a more aggressive nature and worse survival.22
A high proliferation rate is a hallmark of a malignant process; this occurs because of the ability of malignant cells to produce growth factors, insensitivity to anti- growth factors and a high potential for replication.8 The mitotic index in HCC is associated with early recurrence and a worse prognosis.23 Concordance with the present study, a higher mitotic rate is more common in tumors with poorly-differentiated components and tumors with microvascular invasion. Meantime, lower mitotic rate is an independent factor for well-differentiated and no microvascular invasion. Ha et al and Osorio et al concluded that a higher mitotic index was correlated with microvascular invasion and high-grade tumors.8,23 The mitotic index should be reported in the histopathological report of patients with HCC.
AFP is normally secreted by the yolk sac and fetal hepatocyte cells. The level of AFP decreases from 40 ng/ ml in neonates to 20 ng/ml in children of 1 year of age, remaining constant until adulthood. However, in cases of cirrhosis, malignancy and other liver pathologies, the AFP level rises.24 Increased AFP levels before surgery impact overall and disease-free survival.25 Tateishi et al, found that an AFP level >100 ng/ml significantly predicts tumor progression and recurrence.26 The present study indicated a significant association between poorly-differentiated HCC and AFP levels ≥100 ng/ml. Meanwhile, survival rate with normal to moderate AFP levels were longer than people with elevated AFP levels>400 ng/ml.17 This study found that AFP level <100 ng/ml was an independent factor for well-differentiated with no microvascular invasion.
The BCLC staging system is one of the earliest staging systems developed for HCC and has been validated in cohort studies for prognostic stratification.6 The present study demonstrated a significant difference in the proportion of patients with stage A and B HCC, with and without microvascular invasion, with stage B HCC patients associated with the presence of microvascular
invasion. In contrast to the present study, Huitzil- Malendez et al demonstrated that the BCLC staging lacks prognostic significance.27 The present study had some limitations, including a small sample and lack of patients survival data.
CONCLUSION
Higher mitotic index was significantly associated and independent factor for poorly-differentiated HCC and microvascular invasion suggesting that these factors might influence patients prognosis. In biopsy specimens in which microvascular invasion is difficult to assess, histological grade, tumor size and mitotic index may be beneficial to depict the prognosis of patients with HCC. In approaching patients with HCC, pathologists should carefully assess and report histopathologic features associated with unfavorable prognosis. Physicians should also be aware of these histopathologic features.
ACKNOWLEDGEMENTS
All contributors complied with the authorship criteria.
All authors declare no potential conflicts of interest in this study.
The present study was funded by the Ministry of Research and Technology/National Agency for Research and Innovation through the SIMLITABMAS and PDUPT grant scheme (grant no. NKB-121, year 2021).
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