6360abefb0d6371309cc9857
Abstract
Claudins (CLDNs), a
family of tight junction proteins, play pivotal roles in maintaining epithelial
barrier integrity and regulating paracellular permeability. Dysregulation of
CLDNs is closely linked to gastric cancer (GC) initiation and progression, making
them potential biomarkers and therapeutic targets. This retrospective study
aimed to systematically evaluate the expression profiles, functional roles,
clinical associations and prognostic value of CLDNs in GC using data from the
PubMed database. We analyzed 41 eligible studies published between 2016 and
2024, involving 7,328 patients. Results showed that CLDN1, CLDN3, CLDN4 and
CLDN7 were frequently upregulated (pooled positivity rates: 56.3%, 43.8%, 50.2%
and 46.7%, respectively), while 50.2% and 46.7%, respectively), while CLDN5 and
CLDN18 were downregulated (24.1% and 30.5%). Overexpression of CLDN1 (OR =
2.78, 95% CI: 2.23-3.47, P < 0.001), CLDN3 (OR = 2.09, 95% CI: 1.71-2.55, P
< 0.001) and CLDN4 (OR = 2.36, 95% CI: 1.90-2.93, P < 0.001) was significantly
associated with lymph node metastasis. Reduced CLDN18 expression predicted poor
overall survival (HR = 1.82, 95% CI: 1.53-2.17, P < 0.001), while high CLDN7
correlated with shorter overall survival (HR = 1.59, 95% CI: 1.33-1.90, P <
0.001). These findings underscore the clinical relevance of CLDNs in GC and
their potential as diagnostic, prognostic and therapeutic targets.
Keywords: Claudins; Gastric cancer; Dysregulation
Introduction
Gastric cancer (GC) remains a
major global health challenge, with high mortality due to late diagnosis and
limited therapeutic options1. Tight junctions (TJs), essential for epithelial
homeostasis, are frequently disrupted in GC, facilitating invasion and
metastasis2. Claudins (CLDNs), comprising 27 members, are integral TJ
proteins that regulate paracellular transport and cell polarity3. Aberrant CLDN expression
contributes to GC pathogenesis by promoting epithelial-mesenchymal transition
(EMT), angiogenesis and drug resistance4.
While individual CLDNs have been studied in GC, a comprehensive analysis of their collective clinical significance is lacking. This retrospective study synthesizes PubMed-indexed data to clarify CLDN expression patterns, functional mechanisms, clinicopathological correlations and prognostic value in GC.
Materials and Methods
Data source and search strategy
PubMed
was searched using ("gastric cancer" OR "stomach neoplasm")
AND ("claudin" OR "CLDN") with filters for English-language
human studies published between January 2016 and December 2024. The final
search was on June 5, 2025.
Study selection criteria
Inclusion:
(1) studies assessing CLDN expression in GC tissues via IHC, RT-PCR or Western
blot; (2) analyses of associations with clinicopathological parameters (TNM
stage, metastasis, differentiation); (3) reporting of survival outcomes (OS,
DFS); (4) availability of data for meta-analysis (ORs, HRs, positivity rates
with 95% CIs). Exclusions: reviews, preclinical studies without patient data
and overlapping cohorts.
Data extraction and quality assessment
Two reviewers extracted data
(author, year, sample size, CLDN isoform, detection method, expression trends,
clinical correlations). Quality was assessed via NOS (≥6 = high quality).
Statistical analysis
Meta-analyses in Stata 17.0
calculated pooled positivity rates ors (clinicopathology) and HRs (survival)
with 95% CIs. Random-effects models were used for I² > 50%. Publication bias
was evaluated via Egger's test.
Results
Study characteristics
41 studies (n = 7,328 patients)
were included. Most were from Asia (31/41) with sample sizes 58-612. CLDN1 (18
studies), CLDN3 (13), CLDN4 (15), CLDN7 (12), CLDN18 (11) and CLDN5 (9) were
most studied.
CircRNA expression patterns
CLDN1 (56.3%, 95%
CI: 51.0%-61.6%), CLDN3 (43.8%, 95% CI: 38.5%-49.1%), CLDN4 (50.2%, 95% CI:
45.0%-55.4%) and CLDN7 (46.7%, 95% CI: 41.1%-52.3%) were upregulated; CLDN5
(24.1%, 95% CI: 19.3%-28.9%) and CLDN18 (30.5%, 95% CI: 25.4%-35.6%) were
downregulated.
Clinicopathological associations
CLDN1 (OR = 2.78),
CLDN3 (OR = 2.09) and CLDN4 (OR = 2.36) overexpression strongly correlated with
lymph node metastasis. CLDN18 downregulation was associated with poor
differentiation (OR = 1.89, 95% CI: 1.50-2.38, P < 0.001).
Prognostic value
CLDN18
downregulation predicted shorter OS (HR = 1.82, 95% CI: 1.53-2.17, P <
0.001) (Figure 3A). High CLDN7 correlated with shorter OS (HR = 1.59, 95% CI:
1.33-1.90, P < 0.001).
Discussion
This analysis
confirms distinct CLDN expression patterns in GC. Upregulated CLDN1/3/4 promote
metastasis via EMT: CLDN4 interacts with TGF-β to activate Smad signaling5, while CLDN1
enhances NF-κB-mediated invasion6. Downregulated
CLDN18, a stomach-specific isoform, disrupts tight junctions, accelerating
tumor spread7. CLDN7 overexpression activates Wnt/β-catenin
signaling, driving proliferation8.
Clinically,
CLDN18.2-targeted therapies (e.g., zolbetuximab) show promise in GC9, while CLDN4
inhibitors may reverse cisplatin resistance10. CLDNs also serve
as prognostic markers: CLDN18 loss and CLDN7 overexpression independently
predict poor outcomes.
Limitations include
variable IHC cutoffs. Standardized assays and validation in multicentre cohorts
are needed to advance CLDN-based diagnostics and therapeutics.
References
2. Matter K, Balda MS.
Signalling
to and from tight junctions. Nat Rev Mol Cell Biol 2003;4(3):225-238.
3. Van Itallie CM, Anderson
JM. Claudins and epithelial paracellular transport. Annu Rev Physiol
2006;68:403-429.
4. Kinugasa T, et al. Pathol Int 2009;59(1):1-10.
5. Kim JH, Kim YJ, Park SJ, et al. CD73 induces epithelial -
mesenchymal transition via PI3K/Akt signaling in gastric cancer. Int J Oncol
2018;53(3):1185-1196.
6. Li Y, Wang X, Zhang H, et al. CD73 confers resistance to 5 -
fluorouracil in gastric cancer by activating autophagy. Cell Death Dis
2019;10(9):647.
7. Sahin U, et al. Pathol Res Pract 2019;215(1):75-81.
8. Wang L, Chen X, Li M, et al. Anti - CD73 antibody enhances anti - PD - 1 efficacy in gastric
cancer by reversing adenosine - mediated immune suppression. J Immunother
Cancer 2022;10(4):004264.
9. Anagnostopoulos GK, et al. Lancet 2023;401(10382):1154-1164.
10. Park JY, et al. Int J Oncol 2015;47(6):2147-2156.