Background
Pancreatic adenocarcinoma (PAAD) is one of the most fatal malignant tumors in the world, featured with dreadful invasiveness, powerful proliferative potential, and poor clinical outcome. The early diagnosis of PAAD is rare on account of the obscure symptoms, and the morbidity of PAAD has been significantly elevated over the last few decades. Although PAAD does not account for a high proportion of all patients, survival is lowest for cancers of the pancreas (10%) [
1]. With the rapid progress of emerging therapeutic programs, immunotherapy is becoming a promising hotspot for the treatment of PAAD [
2]. It has been revealed that the response for immunotherapy is low in PAAD due to its non-inflamed tumor microenvironment (TME) [
3‐
5]. Growing evidence indicates that tumor progression and therapeutic response were critically affected by host immune response, which depends on the abundance of tumor-infiltrating immune cells (TIICs) in TME [
6,
7]. Thus, potential biomarkers which could identify the abundance of TIICs in TME of PAAD are urgently required in clinical practice.
In recent years, the roles of co-stimulatory B7 family molecules in regulating tumor immunity have been widely concerned, specially programmed cell death ligand 1 (PD-L1), also named as B7-H1 [
8]. PD-L1 expression is usually correlated with inflamed TME phenotype and predicts a high response rate to immunotherapy in the clinic [
9,
10]. In addition to B7-H1, B7-H3 and B7-H4 are becoming promising hotspots [
11]. According to previous reports, B7-H3 and B7-H4 are significantly up-regulated in PAAD tissues compared with non-tumor or normal pancreas tissues [
12,
13]. Besides, co-expressed or mutually-exclusive patterns of B7 molecules predict inflamed or non-inflamed TME in multiple human cancers [
14,
15]. However, the correlation between B7-H3 and B7-H4 expression and TIICs abundance as well as the predictive value of combined B7-H3 and B7-H4 in assessing prognosis has not been investigated yet.
In this research, we first analyzed the expression of B7-H3 and B7-H4 as well as their associations between clinic-pathological features in PAAD. Besides, the prognostic values and immuno-correlations of B7-H3, B7-H4, and combined expression were also evaluated. As result, we found that B7-H3 and B7-H4 were upregulated in PAAD tissues and correlated with advanced differentiated grades. Moreover, co-deficiency of B7-H3 and B7-H4 in PAAD predicted better clinical outcomes and identifies high CD8 + T cell infiltration. Overall, co-deficiency of B7-H3 and B7-H4 is a promising prognostic and immunogenic biomarker in PAAD.
Methods
Acquisition of TCGA data
Normalized RNA-sequencing (RNA-seq) data and corresponding clinical information of PAAD samples in the Cancer Genome Atlas (TCGA) database were downloaded from the UCSC Xena website (
https://xenabrowser.net/datapages/). Patients with missing or insufficient data were excluded from this research. Finally, a total of 178 tumor samples were retained for further analysis.
Analyses of the GEPIA and CPTAC databases
GEPIA (
http://gepia.cancer-pku.cn/) was an interactive website based on the TCGA and GTEx databases and used for RNA expression analyses [
16]. In the present study, the GEPIA website was used to explore the expression levels of B7-H3 and B7-H4 in PAAD and adjacent pancreas tissues. In addition, to further compare the differential expressions of B7-H3 and B7-H4 at protein levels, the proteome data of the CPTAC dataset (
http://ualcan.path.uab.edu/analysis-prot.html) were also used for differential analyses of B7-H3 and B7-H4 [
17].
Immune infiltration analysis
Tumor Immune Estimation Resource (TIMER) database is an online tool for systematic analysis of immune cell infiltration across diverse cancer types from TCGA [
18]. We evaluated the correlation of B7-H3 & B7-H4 expressions with the infiltration of main types of immune cells, including B cells, CD8 + T cells, CD4 + T cells, neutrophils, macrophages, and dendritic cells (DCs).
The relative abundance of more types of infiltrating immune cells was analyzed using the xCell algorithm (
https://xcell.ucsf.edu/), an emerging tool to estimate the abundance of 64 immune and stromal cell types based on gene expression profiles [
19]. Pre-calculated infiltrating data of TIICs corresponding to TCGA-PAAD samples were downloaded from the xCell website.
Clinical samples
The PAAD tissue microarray (TMA, Cat. no HPanA150CS04) was purchased from Outdo BioTech (Shanghai, China). A total of 120 PAAD and 30 paired para-tumor tissues were included in the TMA. Detailed clinic-pathological characteristics of these patients were also provided by Outdo BioTech. Ethical approval for the use of the TMA was granted by the Clinical Research Ethics Committee (Outdo BioTech).
Immunohistochemistry
Immunohistochemistry (IHC) staining was performed on the TMA of PAAD tissues. The primary antibodies used in the research were as follows: anti-B7-H3 (1:8000 dilution, Cat. no ab219648, Abcam, Cambridge, UK), anti-B7-H4 (1:50 dilution, Cat. no ab252438, Abcam, Cambridge, UK), and anti-CD8 (Ready-to-use, Cat. no PA067, Abcarta, Suzhou, China). Antibody staining was visualized using diaminobenzidine (DAB) and hematoxylin counterstain, and stained TMA was scanned using Aperio Digital Pathology Slide Scanners.
Semi-quantitative assessment
A total of 104 TMA points were retained for further analysis after the exfoliated points were removed. All stained points were independently assessed by two senior pathologists. For semi-quantitative evaluation of B7-H3 and B7-H4 staining, the percentage of positively stained tumor cells was scored as 0–4: 0 (< 1%), 1 (1–5%), 2 (6–25%), 3 (26–50%) and 4 (> 50%). The staining intensity was scored as 0–3: 0 (negative), 1 (weak), 2 (moderate) and 3 (strong). The immune-reactivity score (IRS) equals the percentages of positive cells multiplied with staining intensity. For semi-quantitative evaluation of CD8 staining, the infiltration level of CD8 + immune cells was evaluated by estimating the percentage of cells with strong intensity of membrane staining in the stroma cells [
20].
Statistical analysis
Statistical analysis and figures exhibition were performed using R 4.1.0, SPSS 26.0, and GraphPad Prism 6.0. Most of the data were analyzed by Student’s t-test, Mann–Whitney test, and one-way ANOVA. Kaplan–Meier survival plots were generated with survival curves compared by log-rank test. The Chi-square test was used to assess differences in clinic-pathological features between groups with different risks. For all analyses, differences were deemed statistically significant when P-value was less than or equal 0.05.
Discussion
It has been proved that increased CD8 + T cell infiltration is one of the notable features of immuno-hot tumors, which indicates a better prognosis and high therapeutic response [
25‐
27]. Thus, reliable biomarkers for the identification of immuno-hot tumors in PAAD are urgent in clinical practice. In the current research, we analyzed the expression patterns of B7-H3 and B7-H4 in PAAD and combined their expression as a novel stratification strategy. We found that B7-H3 and B7-H4 were highly expressed in PAAD tissues and higher in poorly differentiated tumors. Moreover, co-deficiency of B7-H3 and B7-H4 indicates a better prognosis and high CD8 + T cell infiltration.
B7-H3 is a negative regulator and inhibits T cell proliferation and cytokine production mediated by antibody to CD3 [
28]. In cancers, B7-H3 acts as an inhibitory immune checkpoint that negatively regulates anti-tumor immunity. Overexpression of B7-H3 in tumor tissues is a poor prognostic biomarker in prostate cancer [
29], upper tract urothelial carcinoma [
30], small cell lung cancer [
31], etc. Besides, inhibition of B7-H3 expression is a promising therapeutic strategy for human cancer. In previous research, B7-H3 targeted therapies have been mentioned, which shows promising applications, including monoclonal antibodies against B7-H3, specific antibody-dependent cell-mediated cytotoxicity, antibody drug conjugates, specific small-molecule inhibitor, and chimeric antigen receptor T-cell therapy [
21]. B7-H3 expression shows no notable correlation with major TIICs, including CD3 + , CD8 + and CD20 + TIICs in small cell lung cancer [
32], whereas B7-H3 expression is positively correlated with the abundance of CD45 + and CD8 + TIICs in non-small-cell lung cancer [
33]. In PAAD, B7-H3 was overexpressed and promoted tumor progression [
34]. In addition, tumor high B7-H3 expression was independently associated with poor survival [
35]. In our research, B7-H3 was positively correlated with CD8 + T cells, CD4 + T cells, neutrophils, macrophages, and DCs estimated by TIMER algorithm, but B7-H3 expression was not correlated with the abundance of CD8 + TIICs in our validated cohort. The contradictory results need to be further confirmed.
Similar to B7-H3, B7-H4 is also an inhibitory immune checkpoint and predicts poor prognosis in multiple human cancers [
36‐
38]. Besides, immunotherapy targeting B7-H4 is under pre-clinical investigation [
22]. For example, pharmacologic inhibition of B7-H4 glycosylation restores anti-tumor immunity in immuno-cold breast cancer [
39]. It has been reported that B7-H4 expression is inversely correlated with T cell infiltration in clear cell ovarian cancer [
40] and breast cancer [
24]. In PAAD, B7-H4 promoted cancer progression and inhibited apoptosis in PAAD cells [
41]. In addition, a meta-analysis revealed that high expression of B7-H4 was an unfavorable prognostic factor for patients with PAAD [
42]. In the current research, we assessed the expression of B7-H4 in tumor and para-tumor tissues in PAAD. However, the results revealed by the GEPIA and CPTAC databases showed no difference between tumor and para-tumor tissues, but IHC staining uncovered that B7-H4 was significantly overexpressed in PAAD tissues. Since B7-H4 was almost only expressed in tumor cells and not in the tumor stroma, we speculated that bulk-RNA sequencing could not distinguish cell subtypes, leading to the false low expression in tumor tissues.
Interestingly, growing numbers of studies have suggested that B7 molecules exhibit limited co-expression patterns [
15,
32,
43]. B7-H3 and B7-H4 exhibited no tight correlation in PAAD in our research, but no obvious pattern of mutually exclusive expression was observed as well. Novel prognostic and/or immunogenic classifiers based on different expression patterns of B7 molecules have been preliminarily investigated. For example, B7-H4 is negatively correlated with PD-L1 and identifies immuno-cold tumors in glioma [
15]. In our research, we found that co-deficiency of B7-H3 and B7-H4 indicates better prognosis and immuno-hot tumors with high CD8 + T cell infiltration, which could be applied as a novel classifier for prognostic and immunogenic assessment in PAAD.
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