# Drastic sex-dependent etiological distribution in severe liver diseases from Gabon

Pamela Moussavou-Boundzanga, Patrice Emery Itoudi Bignoumba, Augustin Mouinga-Ondeme, Berthe Amelie Iroungou, Berthold Bivigou-Mboumba, Agnès Marchio, Maryam Saibou, Jean-Baptiste Moussavou Kombila, Pascal Pineau

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Pamela Moussavou-Boundzanga, Patrice Emery Itoudi Bignoumba, Augustin Mouinga-Ondeme, Berthe Amelie Iroungou, Berthold Bivigou-Mboumba, et al. Drastic sex-dependent etiological distribution in severe liver diseases from Gabon. Frontiers in Oncology, 2022, 12, pp.907554. 10.3389/fonc.2022.907554. [hal-04177122](https://hal.science/hal-04177122)

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EDITED BY

Prasanna K. Santhekadur,
JSS Academy of Higher Education and
Research, India

REVIEWED BY

Khaled Farid,
Mansoura University, Egypt
Eric Simon,
Boehringer-Ingelheim Pharma
GmbH&Co KG, Germany
Karan Kumar,
Mahatma Gandhi University of Medical
Sciences Technology,
India

*CORRESPONDENCE

Pascal Pineau
pascal.pineau@pasteur.fr
Pamela Moussavou-Boundzanga
pamelamoussavoub@gmail.com

SPECIALTY SECTION

This article was submitted to
Cancer Epidemiology and Prevention,
a section of the journal
Frontiers in Oncology

RECEIVED 29 March 2022

ACCEPTED 22 August 2022

PUBLISHED 15 September 2022

CITATION

Moussavou-Boundzanga P, Itoudi Bignoumba PE, Mouinga-Ondeme A, Iroungou BA, Bivigou-Mboumba B, Marchio A, Saibou M, Moussavou Kombila J-B and Pineau P (2022) Drastic sex-dependent etiological distribution in severe liver diseases from Gabon.

Front. Oncol. 12:907554.
doi: 10.3389/fonc.2022.907554

COPYRIGHT

© 2022 Moussavou-Boundzanga, Itoudi Bignoumba, Mouinga-Ondeme, Iroungou, Bivigou-Mboumba, Marchio, Saibou, Moussavou Kombila and Pineau. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author (s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Drastic sex-dependent
etiological distribution in severe
liver diseases from Gabon

Pamela Moussavou-Boundzanga¹,²*,
Patrice Emery Itoudi Bignoumba³,
Augustin Mouinga-Ondeme², Berthe Amelie Iroungou⁴,
Berthold Bivigou-Mboumba⁴, Agnès Marchio⁵,
Maryam Saibou³, Jean-Baptiste Moussavou Kombila³
and Pascal Pineau⁵*

¹Laboratoire de Biologie Moléculaire et Cellulaire (LABMC), Université des Sciences et Techniques de Masuku (USTM), Franceville, Gabon, ²Unité des Infections Rétrovirales et Pathologies Associées, Centre International de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon, ³Service de Gastroentérologie, Centre Hospitalier Universitaire de Libreville (CHUL), Libreville, Gabon, ⁴Unité Mixte de Recherche Centre International de Recherches Médicales de Franceville et Service de Santé Militaire (CIRMF-SSM), Libreville, Gabon, ⁵Unité « Organisation nucléaire et oncogenèse », INSERM U993, Institut Pasteur, Paris, France

Chronic liver diseases still represent a worrying public health issue in Sub-Saharan Africa. In this region, emphasis is generally made on hepatocellular carcinoma (HCC) albeit liver cirrhosis (LC) is also responsible for an important death toll. Very few studies have compared the presentation and etiologies of cancer and cirrhosis of the liver in Middle Africa. We conducted a comparative retrospective analysis of 74 and 134 cases of patients with HCC and LC treated in Libreville, Gabon. Viral or lifestyle risk factors, clinical symptoms, and biological features were compared. We observed that ages of diagnosis were 53.2 ± 15.7 years and 48.6 ± 18.6 years for HCC and LC with remarkably low M:F sex ratios (1.3–1.8). Ethanol consumption was highly prevalent in both disease types (65.0%–70.0%). Chronic viral infections with hepatitis B (HBV) or C (HCV) virus were also widespread with slight domination of the former in both diseases (43.4% vs. 34.3%, and 35.9% vs. 28.5%). Patients with HCC were presenting very late with a mean diameter of the main nodule of 84 ± 50 mm and a multifocal pattern in 72.7% of cases. HCC developed on a cirrhotic liver in 91.7% of cases. Serum AFP was frankly elevated (>400 ng/ml) in only 35.8% of HCC cases. The most striking feature of the HCC series was the contrasted contribution of distinct pathogenic etiologies involving sex, viral, metabolic, and toxic factors. A frequently dysmetabolic condition synergizing with hepatitis C (anti-HCV, 73.8% vs 22.7%, p < 0.0001) in females and a male cancer promoted by recreational toxicants and chronic hepatitis B (HBsAg, 83.5% vs 35.9%, p < 0.0001) were observed. Men with HCC were considerably younger than women (46.8 ± 14.5 years vs. 62.2 ± 12.2 years, p < 0.0001). Further studies are now warranted to identify routes of HCV transmission and if they are still fueling reservoirs of future patients. Public policies to prevent alcohol-related harm have also to be urgently implemented in Gabon.
KEYWORDS

middle asia, gabo, liver cirrhosis, hepatocellular carcinoma, primary liver cancer
(PLC), hepatitis virus, alcohol, sex-difference

Introduction

Chronic liver diseases represent a significant burden of
morbidity and death in Sub-Saharan Africa albeit with
substantial regional variations of incidence (1). Middle
Africa is a vast territory that regroups nine nations and a
population of 169 million habitants spread over 6.6 million
km². In this area, primary liver cancer incidence is generally
considered as lower than in neighboring West Africa while
the importance of liver cirrhosis (LC) is, overall, poorly
known and subjected to a far lesser number of medical
publications (2).

Gabon is a small country of two million habitants occupying
a central position in Middle Africa. Gabon is characterized,
according to some authors including our group, by a substantial
underestimation of primary liver cancer or hepatocellular
carcinoma (HCC) incidence (3). Nevertheless, infectious risk
factors (RF) of HCC, such as chronic infection by hepatitis B and
C viruses, are notoriously highly prevalent in the Gabonese
population while alcohol consumption is known to be one of the
highest in Sub-Saharan Africa (4). The role played by aflatoxin
B1 on the epidemiology of terminal liver disease, often
important in Africa, is currently unknown in Gabon just as
the role of dysmetabolic conditions (obesity, type 2 diabetes, etc.)
(5, 6).

Local epidemiology of HCC is well-known to be
modulated by RF distribution and genetic architecture of
the population. Besides, the descriptive epidemiology of any
disease endemic to a given population is a prerequisite to
implement the most appropriate preventative measures and
to conduct an efficient screening of the persons at risk for
complications. Unfortunately, due to significant international
variations, extrapolation of observations made in a given
population are not always transposable to another one (7,
8). There is currently no original paper that describes the
presentation of HCC and LC in Gabon. In the current work,
we explored, retrospectively, 74 patients with hepatocellular
carcinoma (HCC) and 134 cases of LC who attended care in
the Centre Hospitalier Universitaire de Libreville (CHUL)
between 2011 and 2019.

Patients and methods

Patients

A series of 208 patients were retrospectively recruited in the
Department of Internal Medicine from CHUL between 2011 and
2019. The criteria of inclusion for HCC were the presence of a
liver mass above 1 cm in diameter at ultrasound or computed
tomography with an arterial enhancement and a wash-out in
venous phase, and/or a serum α-fetoprotein concentration
above 400ng/ml in a clinical context of chronic liver disease
(9, 10). LC was scored in case on the combination of portal
hypertension, hepatocellular insufficiency, and changes in the
hepatic parenchyma at ultrasound. No histological or
elastometric appraisal of cirrhosis was available.

The etiological diagnosis of disease was attributed to HBV
when HBsAg or HBV DNA was present; it was for HCV when
anti-HCV immunoglobulins or HCV RNA were present. The
causality of alcohol intoxication was retained when consumption
was estimated to exceed 60 g/day. Clinical and biological data
were collected at the time of admission to the department and
before starting treatment. Most of the patients were unaware of
their conditions and did not receive any antiviral therapy before
the diagnosis of already severe disease.

The criteria for exclusion were the lack of clinical and/or
biological data and the detection of liver nodules concomitant to
an extra-hepatic primary tumor.

Due to the retrospective nature of the study, no informed
consent was obtained for the patients before 2019, while patients
recruited in 2019 gave their informed consent to participate in
the study. The institutional review board approved the study.
The study was conducted in accordance with the
recommendations of the Convention of Helsinki.

Statistical analyses

Statistical analysis was performed using the Prism 8.0.2
statistical package (GraphPad, USA) and, in case of very small p
values (p < 1.0 E-04), with the BiostaTGV online software (https://
biostatgv.sentiweb.fr/?module=tests) to improve the appraisal of significance by readers. Numerical variables were compared for analyses of two groups either by a Student's *t*-test, by a Mann-Whitney *U* test as appropriate. When more than two groups were examined, ANOVA or Kruskal-Wallis test were used. Categorical variables were summarized as frequencies that were compared by Fisher's exact test when two groups were compared or by $\chi^2$ in presence of more than two groups. All tests were univariate and two-sided. The level of significance was set at p < 0.05. Principal component analysis was performed as well with the Prism 9.4.0 statistical package.

# Results

## Patient demography

A total of 208 medical records with HCC or LC were enrolled at the Libreville University Hospital between 9 January 2011 and 23 July 2019. Demographical and clinical features are summarized in Table 1.

This population was composed of 127 men and 81 women aged from 3–91 years with a mean age 50.3 ± 17.9 years. The mean ages of patients with HCC or LC were non-significantly different with tumor patients in their early sixth decade (53.2 ± 15.7 years) of lifespan, while the cirrhotic patients were a little bit less than 5 years younger (48.6 ± 18.6 years, see Table 1 and Figure 1). The Male : Female sex ratios were low (1.4 in HCC, 1.8 in LC) for both pathologies. Serum AFP was frankly elevated (>400 ng/ml) in only 35.8% of HCC cases.

## Risk factors

Concerning RF, chronic viral infections were the dominant etiologies present in 74.6% and 61.8% of HCC and LC, respectively. In HCC, chronic infection with HBV (seropositivity for HBsAg) was the most frequent (43.4%) followed by anti-HCV reactivity (34.3%). Dual infections were infrequent (3.1%). In LC, corresponding values (35.9% and 28.5%) were slightly lower but not significantly different from HCC. Seropositivity for HIV was significantly more frequent in HCC than in LC (14.5% vs 5.1%, p = 0.015).

The prevalence of toxic RF responsible for severe liver diseases and ethanol and tobacco consumption were not significantly different in HCC than LC (Table 1). The same was true for the prevalence of type 2 diabetes (T2D). Overall, a complete absence of RF for liver disease, i.e., a cryptogenic origin (most probably a non-alcoholic fatty liver disease, NAFLD), was rare (6.7% and 7.7%) in both pathologies. It is a *posteriori* plausible to consider that a large subset of these cryptogenic cases is composed of unidentified cases of non-alcoholic fatty liver diseases (NAFLD).

# Clinical features

Tumor characteristics and imaging features clearly indicated that neoplastic processes were overall diagnosed at very advanced stages. The main dimension of the principal tumor mass was 84 ± 50 mm and HCC was already multifocal in almost 73.0% of cases. In HCC patients, liver tissue was cirrhotic in 91.7% of cases with a macronodular pattern in two thirds of the cases, a proportion significantly higher than patients with LC (45.2%, p = 0.010) presumably in keeping with the slightly higher proportion of viral etiologies in HCC.

With regard to clinics, signs of decompensation were present in 98.4% of LC cases and in 88.2% of HCC cases (p = 0.003) indicating that patients with LC, similar to HCC patients, were seeking care at a hospital facility when the disease was already very advanced. According to the patients, symptom onsets were dating back to 89 ± 198 days and 104 ± 257 days earlier for the patients with HCC and LC, respectively.

HCC patients were essentially characterized for their higher prevalence of pain and hepatomegaly, significantly more frequent for obvious reasons (Table 1). Features typical of the terminal phase of LC (esophageal varices, digestive bleeding, hepatic encephalopathy) were of course more frequent, sometimes very significantly, in this condition than in HCC (Table 1).

## Biological features

Few biochemical variables (AST, g-GT, CRP) were significantly different between HCC and LC patients. Hematological features were almost invariably significantly differing between both conditions with HCC patients displaying clear signs of inflammation (more leukocytes, higher proportion of neutrophils) in blood cell counts while LC patients were displaying consistently worsened values for platelets and coagulation (INR, Table 1). As expected, non-invasive scoring systems to estimate liver fibrosis were systematically worse in case of LC.

## Clinical correlations

We next set out to better characterize the differences in presentation installed by the different etiologies responsible for HCC or LC developments in Gabon.

In HCC, the most striking divergence concerned the distribution of viral RF according to sex. Seropositivity for HBsAg was the hallmark of male patients (83.5% vs. 35.9%, OR = 8.6, 95%CI = 2.5–35.5, p = 8.8 E-05) whereas the presence of anti-HCV was primarily associated with females (73.8% vs.
<table><caption>TABLE 1 Demographical and clinical features.</caption><thead><tr><th>Clinico-biological features</th><th>HCC<br>N = 74</th><th>LC<br>N = 134</th><th>p-Value</th></tr></thead><tbody><tr><td><strong>Demography</strong></td><td></td><td></td><td></td></tr><tr><td>Sex ratio M :F</td><td>1.38 (43/21)</td><td>1.68 (84/50)</td><td>0.62 (ns)</td></tr><tr><td>Age (years)</td><td>53.2±15.7</td><td>48.6±18.6</td><td>0.0783 (ns)</td></tr><tr><td><strong>Risk Factors</strong></td><td></td><td></td><td></td></tr><tr><td>HBsAg (%)</td><td>43.4</td><td>35.9</td><td>0.35 (ns)</td></tr><tr><td>Anti-HCV (%)</td><td>34.3</td><td>28.5</td><td>0.28 (ns)</td></tr><tr><td>Including B+C infections (%)</td><td>3.1</td><td>2.6</td><td>ns</td></tr><tr><td>nonBnonC (%)</td><td>25.7</td><td>37.0</td><td>ns</td></tr><tr><td>Anti-HIV1-2 (%)</td><td>14.5</td><td>5.1</td><td>0.0150</td></tr><tr><td><strong>Other risk factors</strong></td><td></td><td></td><td></td></tr><tr><td>Ethanol consumption (%)</td><td>69.0</td><td>65.1</td><td>ns</td></tr><tr><td>Ethanol (g/24h)</td><td>105±97</td><td>97±77</td><td>0.66 (ns)</td></tr><tr><td>Tobacco consumption (%)</td><td>31.3</td><td>22.2</td><td>0.22 (ns)</td></tr><tr><td>Two Toxicants (Alcohol + Tobacco, %)</td><td>29.8</td><td>19.0</td><td>0.10 (ns)</td></tr><tr><td>Type 2 Diabetes (%)</td><td>17.1</td><td>8.1</td><td>0.0861 (ns)</td></tr><tr><td>Cryptogenicity (%)</td><td>6.7</td><td>7.7</td><td>ns</td></tr><tr><td><strong>Tumor features</strong></td><td></td><td></td><td></td></tr><tr><td>Main diameter (mm)</td><td>84±50</td><td>na</td><td></td></tr><tr><td>Multiple nodules (%)</td><td>72.7</td><td>na</td><td></td></tr><tr><td><strong>Non-tumor liver status</strong></td><td></td><td></td><td></td></tr><tr><td>Cirrhosis (%)</td><td>91.7</td><td>100.0</td><td>ns</td></tr><tr><td>Decompensation (%)</td><td>88.2</td><td>98.4</td><td>0.0033</td></tr><tr><td>Macronodular pattern (%)</td><td>66.6</td><td>45.2</td><td>0.0102</td></tr><tr><td>Heterogeneous echogenicity (%)</td><td>66.6</td><td>32.1</td><td>9.0 E-06</td></tr><tr><td>Gallbladder alterations (%)</td><td>38.8</td><td>57.6</td><td>0.0150</td></tr><tr><td><strong>Clinical signs</strong></td><td></td><td></td><td></td></tr><tr><td>Death in hospital (%)</td><td>37.8</td><td>17.1</td><td>0.0013</td></tr><tr><td>Beginning of symptoms (days)</td><td>89±198</td><td>104±257</td><td>0.68</td></tr><tr><td>Digestive haemorrhages (%)</td><td>22.0</td><td>36.7</td><td>0.0374</td></tr><tr><td>Esophageal varices (%)</td><td>51.3</td><td>82.3</td><td>8.8 E-12</td></tr><tr><td>Ascites (%)</td><td>73.6</td><td>82.0</td><td></td></tr><tr><td>Encephalopathy(%)</td><td>21.7</td><td>44.4</td><td>0.0841 ns</td></tr><tr><td>Pain (%)</td><td>72.8</td><td>31.7</td><td>4.3 E-08</td></tr><tr><td>Pain in right quadrant/Epigastralgia (%)</td><td>61.7</td><td>12.6</td><td>3.7 E-12</td></tr><tr><td>Nausea (%)</td><td>63.1</td><td>27.2</td><td>0.0183</td></tr><tr><td>Fever (%)</td><td>15.6</td><td>32.5</td><td>0.0147</td></tr><tr><td>Dizziness (%)</td><td>28.1</td><td>20.6</td><td>ns</td></tr><tr><td>Jaundice (%)</td><td>5.2</td><td>18.0</td><td>0.0725 (ns)</td></tr><tr><td>Portal thrombosis (%)</td><td>51.4</td><td>53.1</td><td>ns</td></tr><tr><td>Hepatomegaly (%)</td><td>29.6</td><td>9.0</td><td>0.0750 (ns)</td></tr><tr><td>Splenomegaly (%)</td><td>81.1</td><td>37.0</td><td>2.5 E-09</td></tr><tr><td></td><td>70.8</td><td>63.8</td><td>ns</td></tr><tr><td><strong>Biochemistry</strong></td><td></td><td></td><td></td></tr><tr><td>AFP (ng/mL)</td><td>6765±23000</td><td>4±3</td><td>0.0783 (ns)</td></tr><tr><td>ALP (IU/mL)</td><td>242±230</td><td>191±303</td><td>0.29 (ns)</td></tr><tr><td>Urea (mM)</td><td>6.5±6.5</td><td>5.1±3.4</td><td>0.0576 (ns)</td></tr><tr><td>AST (IU/mL)</td><td>151±178</td><td>104±137</td><td>0.0384 (ns)</td></tr><tr><td>ALT (IU/mL)</td><td>72±102</td><td>61±92</td><td>0.46 (ns)</td></tr></tbody></table>

(Continued)
<table><caption>TABLE 1 Continued</caption><thead><tr><th>Clinico-biological features</th><th>HCC<br>N = 74</th><th>LC<br>N = 134</th><th>p-Value</th></tr></thead><tbody><tr><td>GGT (IU/mL)</td><td>256±238</td><td>151±313</td><td>0.0201</td></tr><tr><td>Total bilirubin (microM)</td><td>87±130</td><td>66±85</td><td>0.20 (ns)</td></tr><tr><td>CRP (mg/L)</td><td>64±67</td><td>32±44</td><td>0.0042</td></tr><tr><td>Proteins (g/l)</td><td>70±18</td><td>62±16</td><td>0.0574</td></tr><tr><td>Creatinine (microM)</td><td>94±88</td><td>62±16</td><td>0.12</td></tr><tr><td>Uric acid (microM)</td><td>387±256</td><td>417±318</td><td>0.7133</td></tr><tr><td><em>Hematology</em></td><td></td><td></td><td></td></tr><tr><td>Leukocytes (/mm³)</td><td>8900±1067</td><td>6128±3397</td><td>0.0064</td></tr><tr><td>Neutrophils (%)</td><td>61±15</td><td>56±15</td><td>0.0251</td></tr><tr><td>Lymphocytes (%)</td><td>24±13</td><td>28±14</td><td>0.0991</td></tr><tr><td>Monocytes (%)</td><td>9±4</td><td>11±6</td><td>0.0196</td></tr><tr><td>Hemoglobin (g/l)</td><td>10.3±2.1</td><td>9.4±2.5</td><td>0.0062</td></tr><tr><td>Plaquettes (Giga/L)</td><td>207±112</td><td>109±86</td><td>5.1 E-11</td></tr><tr><td>INR</td><td>1.6±0.6</td><td>2.4±1.2</td><td>4.6 E07</td></tr><tr><td><em>Non Invasive scores for liver function</em></td><td></td><td></td><td></td></tr><tr><td>De Ritis ratio</td><td>2.3±1.9</td><td>2.1±1.6</td><td>0.33 (ns)</td></tr><tr><td>APRI</td><td>2.2±3.3</td><td>3.3±4.0</td><td>0.0612 (ns)</td></tr><tr><td>FIB-4</td><td>5.2±4.4</td><td>7.7±6.5</td><td>0.0043</td></tr><tr><td>GPRI</td><td>2.4±1.7</td><td>3.2±6.1</td><td>0.35 (ns)</td></tr><tr><td>MELD</td><td>13.5±5.8</td><td>17.7±6.6</td><td>6.5 E-05</td></tr><tr><td>APPRI</td><td>1.2±1.3</td><td>2.2±2.3</td><td>0.0063</td></tr><tr><td>API</td><td>4.9±2.7</td><td>6.6±2.1</td><td>5.9 E-06</td></tr><tr><td>CDS</td><td>7.0±2.3</td><td>9.1±2.9</td><td>8.0 E-07</td></tr><tr><td>FibroQ</td><td>13.5±16.4</td><td>35.8±42.8</td><td>1.1 E-04</td></tr><tr><td>GUCI</td><td>6.5±10.8</td><td>14.7±27.3</td><td>0.0206</td></tr><tr><td>King's score</td><td>79.0±103.5</td><td>154.0±228.7</td><td>0.0126</td></tr><tr><td><em>Survival prediction score</em></td><td></td><td></td><td></td></tr><tr><td>NLR</td><td>4.5±5.9</td><td>4.4±13.7</td><td>0.99 (ns)</td></tr><tr><td>PLR</td><td>251±497</td><td>235±933</td><td>0.89 (ns)</td></tr><tr><td>MLR</td><td>0.57±0.65</td><td>0.94±3.14</td><td>0.32 (ns)</td></tr></tbody></table>

AFP, alpha-fetoprotein; ALT, Alanine aminotransferase; ALP, Alkaline phosphatase; APRI, aspartate aminotransferase to platelet ratio index; APPRI, Alkaline Phosphatase to Platelet ratio Index, AST, Aspartate aminotransferase; CRP, c-reactive protein; FIB-4, fibrosis index based on four factors; GGT, Gamma glutamyltransferase; GUCI, Goteborg University cirrhosis index; HBsAg, Hepatitis B surface antigen; HCC, Hepatocellular carcinoma; INR, international normalized ratio; LC, Liver Cirrhosis; MELD, model for end-stage liver disease; MLR, Monocytes-to-Lymphocyte Ratio; NLR, Neutrophil-to-Lymphocyte Ratio; PLR, Platelet-to-Lymphocyte Ratio. na, not available; ns, non-significant.

22.7%, OR = 9.1, 95%CI = 2.5–39.9, p = 1.4 E-04). Remarkably, this stringent dichotomy was not present in LC (Figures 2A, B).

Age at disease presentation was strongly conditioned by viral etiology as well. In HCC, patients infected with HBV infection were affected with a 2-decade earlier onset than those infected with HCV (42.9 ± 13.9 years vs. 63.8 ± 7.9 years, p = 5.0 E-07). A similar situation was observed in LC (39.4 ± 14.7 years vs. 65.9 ± 14.6, p = 1.1 E-12, Figure 3).

Concerning toxic RF, while ethanol consumption was not significantly different between sexes in HCC, use of tobacco was more frequent in men (45.3% vs. 14.2%, OR = 4.5, 95%CI = 1.2–21.5, p = 0.015). In LC, on the contrary, it was the prevalence of ethanol consumption that made the difference, being almost systematic in men and less frequent in women (83.5% vs. 39.5%,

OR = 6.1, 95%CI = 2.6–14.8, p = 6.9 E-06, Figure 4). Of course, both for HCC and LC, alcohol and tobacco were often associated. Consequently, an important subset of alcohol consumers were also tobacco users (44.4% vs. 4.5% of drinkers were also smokers, OR = 16.2, 95%CI = 2.2–726.0, p = 6.8 E-04). In LC, corresponding proportions were 29.2% vs. 9.0% (OR = 4.1, 95%CI = 1.3–211.6, p = 0.012).

In HCC, a metabolic RF such as type 2 diabetes (T2D) tended to be more frequent in women (28.0% vs. 10.2%, OR = 3.1, 95%CI = 0.6–16.7, p = 0.099, ns) and more frankly associated with presence of anti-HCV as this virus is a well-known diabetogenic factor (35.0% vs. 5.7%, OR = 8.5, 95%CI = 1.4–94.2, p = 0.008) (11). Likewise, in LC, T2D was also found in a significantly higher proportion of anti-HCV(+) patients (21.2% vs. 3.6%, OR = 6.9,
<figure><img src="image_3.png" /><figcaption>FIGURE 1
Distribution of HCC and LC cases according to age.</figcaption></figure>

95%CI = 1.4-44.6, P = 0.005). Because T2D is a non-communicable disease with a maturity onset, its association with anti-HCV (70% of T2D cases) was usually the hallmark of a late HCC onset. T2D was found in HCC patients much older than the non-diabetic ones (66.0 ± 12.8 years vs. 51.0 ± 15.1 years, p = 0.0027). A closely similar situation was also prevailing in LC (60.1 ± 19.4 years vs. 47.6 ± 18.4 years, p = 0.0439).

Alcohol consumption, presumably because of its widespread albeit potentially underestimated prevalence (69.0% in HCC and 65% in LC), was apparently not delineating any specificities in terminal liver diseases of Gabon. The only significant impact of ethanol consumption was its association with smaller tumors (75 ± 50 mm vs. 106 ± 40 mm, p = 0.014) presumably due to its systematic association with advanced fibrosis and its intrinsic toxic effect that enact together and tend to prevent the development of massive tumors.

To further illustrate the stringent dichotomy of risk factor distribution according to age and sex, we proceeded to a principal component analysis (PCA) regrouping both LC and HCC cases (Figure 5). We observed, as indicated by simple statistical tests, that HBsAg, toxicants (alcohol, tobacco), and male sex tend to regroup in the first principal component (PC1) while anti-HCV and age (and diabetes) point in the inverse direction. The PCA suggests that, in Gabon, risk factors for

severe liver diseases target gender differentially with a drastic heterogeneity of onset regarding age.

## Clinical biochemistry and hematological alterations

In HCC, and to a lesser extent in LC as well, young age, a proxy for HBV infection, was generally associated with significant worsening of biological variables. In the younger median for age (Y), liver enzyme values (AST, ALT, g-GT) were significantly higher than in the older median (O, Figure 6A). The same was true in HCC only for alkaline phosphatases (ALP, Figure 6B), and in LC only, for AST-to-platelet ratio index (APRI, Figure 6C). These observations indicate both an ongoing violent liver-damaging process and deep alterations at the time of diagnosis.

Both HCC and LC patients when HBsAg(+) presented additional variables significantly disturbed such as aminotransferases, total bilirubin, APRI, or MELD score (Model for End-Stage Liver Disease, that combines albumin and total bilirubin concentrations, Index Normalized Ratio, and presence of ascites and encephalopathy, not shown), this latter variable assessing disease severity. In comparison, and to the
<figure><img src="image_4.png" /><figcaption>FIGURE 2
(A) Prevalence of HBsAg and anti-HCV according to sex in HCC.
(B) Prevalence of HBsAg and anti-HCV according to sex in LC.</figcaption></figure>

notable exception of renal status markers (urea, creatinine), biological features in anti-HCV(+) HCC patients were much less extensively altered, suggesting a more indolent liver-damaging process.

Discussion

In Sub-Saharan Africa (SSA) liver cancer is the third highest cancer for men and the sixth for women (Globocan, 2020). There are usually large differences in the prevalence of viral RF between low- and middle-income countries and high-income countries (12). Although this is not systematic, hepatitis viruses largely predominate as causes of liver cancer in low- or middle-income countries (13). The description of the clinical presentation and etiological factors of HCC in SSA is crucial to provide a better appraisal about infectious agents and for the conjecture of their possible transmission routes (14). But a thorough description is also necessary to better understand the influence of other factors such as nutritional transition and exposure to environmental toxins (15, 16).

The present retrospective study aims to contribute to a better understanding of the etiologies of both HCC and LC in Gabon (Middle Africa). It was conducted in the largest hospital in Gabon used as a referral center for digestive diseases.

The demographic characteristics of HCC cases observed in Gabon tend to differ from previous descriptions of the disease in

SSA. Regarding the mean age (50.3 ± 15.7 years) of patients, it appears already different from that recently observed in West-African countries such as Ghana (17) and Senegal (18), which is respectively 45.2 and 47.4 years (17). HCC onset in Gabon appears later than what is commonly reported in SSA countries but remains in keeping with descriptions made by Kew and Didi-Kouko et al. (19, 20). It is however much earlier than in European countries where it ranges between 63.3 and 70.9 years (21). The mean age of patients with HCC observed in Gabon confirms that the oncogenic process always takes place early among the Sub-Saharan population. The young age of male patients is of course primarily explained by endemicity of some RF like HBV infection transmitted either perinatally from mother to child or horizontally between immune-tolerant children living under the same roof (22). In keeping with the position of Gabon among the low and middle-income countries, the dominant etiologies were viral infections either with HBV or HCV found in 75% and 63% of HCC and LC respectively. However, at variance with a large subset of Sub-Saharan countries, HBV is not a hyper-dominant risk factor of HCC in Gabon as HCV tends to be on par with it, a situation already reported for Senegal (13, 23). This situation indicates that despite the availability of effective interventions for the prevention and treatment of hepatitis B and C, these infections still remain the main causes of HCC and LC burden in Gabon and will continue until the maturity of generations born before 2004 who did not benefit from the universal immunization against HBV at birth (24). In contrast with the situations observed in East European countries as Moldova or in Mongolia, dual infections were infrequent in our study (3.1%)

<figure><img src="image_5.png" /><figcaption>FIGURE 3
Age of patients in HCC and LC according to the main etiologies.</figcaption></figure>
<figure><img src="image_6.png" /><figcaption>FIGURE 4
(A), Prevalence of toxic risk factors (ethanol and tobacco) according to sex in HCC. (B), Prevalence of toxic risk factors (ethanol and tobacco) according to sex in LC.</figcaption></figure>

(25, 26). This observation is in keeping with the fact that in Sub-Saharan Africa, HBV and HCV are generally transmitted through different routes and not predominantly together as when intravenous drug use is widespread (27, 28).

Our findings highlight the need for increased efforts in the population screening and the prevention of HBV and HCV transmission to decrease the incidence of severe liver diseases in Gabon. Furthermore, these findings need to be connected with anti-hepatitis B vaccination data. In fact, since 2004, Gabon has adopted vaccination against HBV in the frame of the expanded program of immunization. At weeks 3-4 after birth, all children must receive their first dose of vaccine. According to the 2012 Demographic Health Survey of Gabon, 62% of children (<12 months) born between 2007 and 2012 received their first dose within a month following birth, a proportion that unfortunately let a considerable space to HBV. In addition, a wastage rate of up to 21% from the first to the third dose was also observed (29). Moreover, Gabon did not introduce the anti-HBV birth dose giving time and space to early life contamination. Due to the local epidemiological context, it is essential to implement anti-HBV birth dose immunization (30). Thereby, a decrease of perinatally acquired HBV infections is essential to prevent further progression toward chronicity following first contact with the virus and to drastically reduce HCC and LC incidence 4-5 decades later.

A remarkable feature of our work is the striking divergence concerning the distribution of viral RFs according to sex in HCC. In fact, seropositivity for HBsAg is 3.8 times higher among male patients compared to women, and the presence of anti-HCV is 4.4 times more often associated with women than men. To our knowledge, this is the second observation of such drastic dichotomous distribution in SSA as it was observed 2 decades ago by Kirk and colleagues in Gambia (31). However, such divergent distribution has been recently described in

<figure><img src="image_7.png" /><figcaption>FIGURE 5
Principal Component Analysis (PCA) describing the interactions of age, sexes, and the principal risk factors (HBsAg, anti-HCV, alcohol consumption, tobacco use and diabetes) of LC (n=134) and HCC (n=74) in Gabon.</figcaption></figure>
<figure><img src="image_8.png" /><figcaption>FIGURE 6
(A) Serum concentrations of aminotransferases (ALT, AST) and gamma-glutamyl-transferase (GGT) in HCC and LC according to the median for age of each group. (B) Serum concentrations of alkaline phosphatases (ALP) in LC and LC according to the median for age. (C) Calculated ALT-to-Platelets Ratio Index (APRI) in HCC and LC according to the median for age.</figcaption></figure>

Algeria and Tunisia (32, 33). There is currently no clear explanation for this situation. Of course, it is well-known that little boys get more easily chronically infected with HBV than girls due to an intrinsic susceptibility of the male sex to this infection (34). However, given that transmission routes of HCV necessitate a cutaneous or an epithelial effraction, the excess of HCV infection within female population of HCC cases suggests that Gabonese women might be specifically exposed to this virus. It is, thus, tempting to suspect women-specific iatrogenic routes or esthetic practices (35). Finally, Gabon represents a specific model in SSA. Based on the data of Libreville, drastically different patterns combining sex, viruses, and metabolic and toxic factors prevail and delineate two pathophysiological processes for HCC in Gabon. Male patients are primarily HBV carriers and common users of recreational toxicants such as alcohol and

tobacco. By contrast, type 2 diabetes (T2D) tended to be more frequent in women, themselves primarily infected with HCV. This combined dimorphism warrants further studies.

It is also fair to acknowledge that our work presents important shortcomings. The lack of histological or elastometric assessments of non-tumorous and neoplastic tissues is one of them. Another issue is obviously the small sample size that prevents efficient analysis of potentially more complex interactions of risk factors with age and sexes of the patients. A third problem lies in the fact that working retrospectively we did not have the possibility to establish important scores of severity such as Child-Pugh-Turcotte or Barcelona Clinic Liver Cancer stages.

Our observation underlines the necessity for public health authorities to conduct, especially for deadly diseases, RF assessment in local populations in order to implement rapidly information sessions and prevention policies. Moreover, the necessity for Gabonese health stakeholders to elucidate the transmission routes of HCV in women is all the more necessary in that, at the moment, there is a lack of evidence indicating that HCV transmission has been stopped and merely concerns a cohort of women in the seventh decade of their lifespan.

## Conclusion

In conclusion, this study is the first to provide epidemiological description of HCC in Gabon, a country located in Middle Africa. A remarkable feature of our work is the striking sex-dependent distribution of viral, metabolic and toxic risk factors in HCC. Further studies are now warranted to identify routes of HCV transmission and if they are still fueling reservoirs of future patients. Moreover, public policies to prevent alcohol-related harm have also to be urgently implemented in Gabon.

## Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

## Ethics statement

The studies involving human participants were reviewed and approved by CHUL Institutional Review Board. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
## Author contributions

PP and J-BMK contributed to conception and design of the study. PEIB, PM-B and MS collected data. AM-O, BI and BB-M organized the database. PP performed the statistical analysis. PP, MB-P and PEIB wrote the first draft of the manuscript. All authors contributed to the article and approved the submitted version.

## Funding

During this work, PMB was the recipient of a fellowship from the International Union Against Cancer (UICC, Bourse d'Afrique Francophone, BAF). PP was supported by the French Ligue Nationale contre le Cancer (LNCC, Equipe labélisée Anne Dejean).

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## Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

## Publisher's note

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