Material and Methods: Retrospectively collected indolent and aggressive BCC groups (24 cases each) were immunohistochemically stained with anti-GATA3 and BCL2 antibodies. The mean expression score (by area percentage) and TIL counts were determined and compared using ImageJ analysis. Stromal tumor-infiltrating lymphocytes (TIL) were counted per high-power field (HPF) on hematoxylin and eosin (H&E) staining.
Results: GATA3 and BCL2 expressions were significantly higher in the indolent group than in the aggressive group. GATA3 expression significantly correlated with BCL2 score and TIL counts. Higher GATA3 expression was significantly associated with a more indolent BCC histological type, higher BCL2 expression, and higher TIL count.
Conclusion: GATA3 is a possible target for immunomodulation experiments to improve BCC immunotherapy outcomes.
The likelihood of aggressive tumor behavior, including depth of invasion, recurrence, and local and distant metastases, determines the classification of the BCC histopathological subgroups. BCCs with a low risk of aggressiveness (i.e., indolent behavior) include nodular, superficial, pigmented, infundibulocystic (BCC with adnexal differentiation), adenoid, and fibroepithelial types. In contrast, micronodular, infiltrating, sclerosing/morphoeic, basosquamous, and BCC with sarcomatoid differentiation have a significant risk of aggressive behavior[1].
Identifying new BCC protein targets will open the door to investigate new treatment modalities. Some immunohistochemical (IHC) markers have been associated with BCC behavior. In many studies, reduced BCL2 expression has been associated with more aggressive BCC types; BCL2 is an essential modulator of the mitochondrial apoptotic pathway, which promotes cell survival without increasing cell proliferation[5,6].
GATA3 is a zinc finger nuclear transcription factor. It activates or inhibits the activity of target genes by binding to G-A-T-A nucleotide sequences in the promoter regions[7]. It plays a pivotal role in T lymphocyte development and differentiation as well as in epithelial tissue differentiation[8]. Breast, urothelial, and BCC cancers have the highest GATA3 expression; the limited expression of GATA3 in specific tissues has made it useful as a diagnostic IHC marker in cancers in these tissues[9].
An association between GATA3 expression and cancer aggressiveness has also been previously reported. As a tumor suppressor, high expression is associated with promising prognostic findings in some cancers, including breast and urothelial[10]. However, it acts as an oncogene and is associated with poor prognosis in other cancers, such as esophageal squamous cell carcinoma (SCC)[11]. GATA3 expression positively correlates with BCL2 expression in some tumors[12]. Many reports have investigated GATA3 expression in BCC as a possible diagnostic marker and have reported strong expression[7,9]. However, no published studies have investigated the association between GATA3 expression and BCC aggressiveness or BCL2 expression.
Understanding the role of GATA3 in BCC by studying its association with BCC aggressiveness will help to understand BCC pathogenesis further and open the door to further research areas and possible new treatment opportunities involving the modulation of the GATA3 pathway. Therefore, in this study, we aimed to investigate GATA3 expression in indolent and aggressive histological BCC and its correlation with BCL2 expression. We hypothesized that GATA3 is associated with BCC behavior and BCL2 expression.
The sample size was calculated using the STATA program, setting the type-1 error (α) at 0.05 and the power (1-β) at 0.9. A pilot study on ten patients per group showed that the mean GATA3 among indolent cases was 10.9±2.6 compared to 8.3±2.4 in aggressive cases. Calculations based on these values yielded a sample size of 21 cases per group. The study included 24 cases in each group to compensate for tissue dropouts during the processing of slides (48 cases in total). All surgically excised BCC cases retrieved during the specified specimen collection duration of the study were included. Samples were excluded if there was insufficient or over-fixed material or artifacts in the process.
Histopathologic Evaluation
Two consultant pathologists independently examined the
H&E-stained BCC slides to confirm the diagnosis, determine
the histological type, and report any other positive,
relevant histological findings like the presence/absence of
perineural and surgical margin invasion. The cases were
grouped into indolent and aggressive groups according to
histological BCC types. In tumors with mixed histological
subtypes, predominant components were recorded. In addition,
quantitative image analysis (Image J 1.53t, Wayne
Rasband and contributors, National Institutes of Health,
USA) was used on H&E slides to count the TIL in BCC
stroma and calculate the mean count for ten randomly selected
high-power (400x) fields in each section. Stromal
TILs are lymphocytes scattered in the stroma between cancer
cells, without direct contact with cancer cells[13].
Immunohistochemical Examination
Four μm thick sections from each representative tumor
block were mounted on positively charged slides using
the avidin-biotin-peroxidase complex (ABC) method and
subjected to IHC staining with monoclonal rabbit GATA3
antibody (Cell Signaling Technology Cat# 13411, RRID:
AB_2798212), dilution 1:1600, and polyclonal rabbit BCL2
antibody (Novusbio, Cat# NBP2-30108), dilution 2 μg/
ml. The staining protocols for the anti-GATA3 and BCL2
products were performed according to the manufacturer`s
instructions. The reagents required for the ABC method
were added (Vectastain ABC-HRP Kit; Vector Laboratories).
Marker expression was labeled with peroxidase and
stained with diaminobenzidine (DAB, Sigma) to detect the
antigen-antibody complex. All slide-processing procedures
included both positive and negative controls. The omission
of the primary antibody was used as a negative control for
non-specific staining with a secondary antibody (14). Tonsils
were used as a negative control for GATA3 and BCL2
markers, with non-stained B-cell areas for GATA3 and
non-stained germinal centers for BCL2.
Positivity was determined by observing all slides at a low power (40×) and then randomly selecting ten fields at a high power (400×) to estimate the average percentage of immunolabel-positive cells. Several areas were examined to increase the reproducibility of the results[14]. Stained sections were scored as positive if > 0% of malignant cells showed nuclear staining for GATA3 and cytoplasmic or nuclear BCL2 staining.
The IHC-stained sections were visualized under an Olympus microscope (BX-53). Automated quantitative scoring of marker expression was performed to avoid the reported shortcomings of manual scoring regarding reproducibility[14,15]. Image analysis was used to score the selected foci based on automatic analysis of the color staining intensity and reaction area, giving a percentage area score. The IHCstained slides were scored independently by two different pathologists using the threshold method, and the mean of the two pathologists` scores/10 HPFs/slide was reported. The inter-scorer difference between the two pathologists` scores was statistically insignificant.
Statistical Analysis
The collected data were revised, coded, tabulated, and introduced
to a PC using Statistical Package for Social Science
(IBM Corp. Released 2017. IBM SPSS Statistics for
Windows, Version 25.0. Armonk, NY: IBM Corp). Shapiro
Wilk`s test was used to evaluate the normal distribution
of quantitative variables, expressed as mean and SD. For
univariate analysis, Student`s t-test was used to compare
a Quantitative variable between two study groups. Categorical
variables were compared using the Chi-square and
described in frequency (count) and percentage. Pearson`s
Correlation analysis was used to assess the strength of the
association between two variables. Multivariate linear Regression
(MLR) analysis was used to determine factors associated
independently with the outcome variable (GATA3).
A P-value <0.05 was considered statistically significant, and
<0.001 was considered highly statistically significant.
Quality Measures
We followed the recommendations in the methodology for
increasing the reproducibility of scoring results in tissue
stains[14]. Moreover, we used the Reporting Recommendations
for Tumor Marker Prognostic Studies (REMARK)
guidelines[16] to assess the quality of our article and enhance
the possibility of comparing results among studies
investigating molecular biomarkers.
Compliance with Ethical Standards
The study received approval from the Faculty of Medicine
Ethics Committee, Beni-Suef University, Egypt, IRB number:
FMBSUREC/09072023. Formal written informed consent
was not required with a waiver by the IRB research
ethics committee. All work was carried out in compliance with the Helsinki Declaration of 1964 and its later amendments.
All personal data of the cases were deidentified, and
all cases were coded before further inclusion in the study.
The most prevalent histological subtype in the indolent group was nodular (n=12, 50%), followed by an equal number of pigmented, adenoid, and superficial subtypes (n=4, 16.7% each). Among the aggressive group, basosquamous (metatypical) carcinoma was the most prevalent (n=14, 58.3%), followed by morphea (n=7, 29.2%) and micronodular subtypes (n=3, 12.5%). All specimens were marginfree and negative for perineural invasion.
All BCC cases showed positive GATA3 and BCL2 expressions. The expression was higher at the advancing edges of the tumor nodules. Highly statistically significant mean GATA3 and BCL2 scoring was observed in the indolent BCC group (12.95±3.26%/HPF, 18.42±3.22%/HPF), compared to the aggressive group (9.61±4.82%/HPF, 6.86±1.68%/HPF) (p=0.007, 0.0001) for GATA3 and BCL2, respectively (Table I and Figure 1).
The peritumoral BCC stroma showed an invariable mixture of mononuclear inflammatory cellular infiltrate. Compared to the stromal tumor-infiltrating lymphocyte (TIL) count in both BCC groups, the indolent group showed a significantly higher (p=0.0001) mean count (378.97±70.59 cells/HPF) than the aggressive group (246.33±93.45 cells/ HPF), as shown in Table I and Figure 2.
Pearson`s correlation showed a statistically significant positive correlation between GATA3 expression and the mean TIL count (R=0.5, p=0.000) and between BCL2 expression and the mean TIL count (R=0.604, p=0.000). Furthermore, a statistically significant positive correlation existed between BCL2 and GATA3 expression (R=0.409, P=0.004).
Multivariate backward linear regression with adjustment for all studied variables showed that age, sex, tumor site, tumor size, TIL count, and BCL2 score were independent variables affecting GATA3 expression. An increase in age, female sex, and increasing tumor size were associated with lower GATA3 levels (p<0.001, p<0.05, p<0.001, respectively). While scalp tumors, the increase in stromal TILs and the increase in BCL2 expression were associated with higher GATA3 levels (p<0.001, p<0.001, p<0.001, respectively) (Table II).
Many studies have reported high and robust GATA3 expression in BCC cases, reaching up to 97% and 98% in cases[7-9]. Similarly, our study showed high positivity for GATA3, which reached 100% of the cases. This variation may be attributed to differences in staining protocols between studies and the relatively small number of cases in our study. In this study, higher GATA3 expression was associated with less aggressive (indolent) BCC. Higher GATA3 expression has been reported to be associated with good prognostic criteria in urothelial cancer, such as a lower tumor grade and stage[19], and in breast cancer, with better tumor differentiation and suppressed metastasis[20]. Loss of GATA3 expression in breast cancer has been linked to poor prognosis with a higher tumor T stage, HER2 overexpression, estrogen and progesterone receptor negativity, and reduced survival[9]. This association with good tumor behavior, including in BCC, can be explained by the crucial role played by GATA3 in developing epithelial structures in both embryonic and adult tissues and in promoting cell differentiation in many tissues, including skin[8].
Understanding the effect of GATA3 expression on the BCC TME can open doors to immunomodulation and improve the treatment results of immunotherapy. Cutaneous BCC is an immunologically cold tumor[21,22]. Local treatment of BCC with immunotherapy is a novel line of treatment with conflicting results[1]. In the past few years, studies have investigated BCC TME with a focus on the pattern of inflammatory cell infiltration to understand the factors that affect BCC prognosis and response to immunotherapy[22,23]. We reported a significant positive correlation between GATA3 expression score and TIL count in the BCC stroma. GATA3 is crucial for early T-cell commitment, the β-selection checkpoint before expressing a functional cell-surface pre-TCR, and CD4+ T-cell development[24]. GATA3 is a master regulator of T-helper 2 (Th2)-cell differentiation[8].
In contrast to our results, high GATA3 expression is associated with low scores of infiltrating lymphocytes in the tumor microenvironment (TME) of bladder cancer[25]. The varying composition of stromal lymphocytes in tumors can explain this difference. The composition of BCCTILs is still poorly understood. Some studies have shown a dominant downregulation of the CD4 and CD8 immune response[23] and a dominant Treg suppressor cell component[26]. In some reports, in cases of spontaneous BCC regression, the BCC stroma has shown very high TILs that reached above 950 cells/cm2/HPF[27]. In these cases, TIL cells dominated inflammatory Th or T Cytotoxic (Tc) types[27,28], with a low percentage of Treg phenotype[27]. Future research comparing the TIL composition in aggressive and non-aggressive BCC and its relation to GATA3 expression is required to understand better GATA3`s role in the BCC TME and BCC response to immunotherapy.
Similar to other studies, we reported significantly higher BCL2 expression in histologically indolent BCC than in aggressive BCC groups[5,6]. Although BCL2 is an oncogene, it prolongs epithelial cell lifespan and reduces apoptosis without stimulating cell proliferation[5]. This survival advantage permits differentiation potential and morphogenesis, and explains its high expression in some low-grade neoplasms, including BCCs[5].
GATA3 expression was significantly positively correlated with BCL2 expression in our study, and both were higher in the indolent group. Similarly, GATA3 expression was positively correlated with BCL2 expression in breast cancer[12]. The interplay between BCL2 and GATA3 expression has still not been fully explained in the literature, and further studies are needed to investigate the precise common pathways. Some authors have suggested that GATA3 might regulate BCL2 transcription and, hence, its expression directly by binding to the promoter region of BCL2 or might indirectly affect its transcriptional regulatory effect on other genes and pathways[12,29].
In conclusion, higher GATA3 expression was significantly associated with a more indolent BCC histological type, higher BCL2 expression, and a higher stromal tumor-infiltrating lymphocyte count. GATA3 may serve as a potential target for immunomodulation experiments to enhance the outcomes of BCC immunotherapy.
This study is the first to investigate GATA3 expression in histologically aggressive and indolent BCC groups and the first to investigate its association with BCL2 expression. Strengths also include using quantitative scoring through image analysis to eliminate subjectivity and to produce a higher dynamic range of captured data for better analysis than visual and quantitative categorical scores[15]). In addition, selecting an increased number of HPFs (ten) in each section to score IHC marker expression results in higher accuracy for the marker`s mean score[16].
Study limitations included a cross-sectional study of available BCC cases; therefore, not all histological BCC variants were sampled. In addition, the limited number of cases and the fact that this was a single-institutional study might have affected the generalizability of the findings. Further research with more BCC cases and subtypes is required to validate the reported results. In addition, future research is recommended to investigate GATA3 expression in BCC with clinicopathological factors associated with higher aggressive behavior - other than the histological type - including different BCC locations and perineural invasion status.
Data Availability
The data supporting this study`s findings are available from the corresponding
author upon reasonable request.
Funding
This research did not receive any specific grant from public, commercial,
or not-for-profit funding agencies.
Conflict of Interest
The authors declare that they have no potential conflicts of interest
to disclose.
Authorship Contributions
Concept: FAE, Design: FAE, ANE, MFH, Data collection or
processing: FAE, MFH, NAA, Analysis or Interpretation: FAE, ANE,
ANE, MKS, MFH, Literature search: FAE, MKS, NAA, Writing-1st
draft: FAE, MKS, NAA, Writing-review and editing: MKS, ANE,
Approval: All authors have read and approved the final manuscript.
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