6360abefb0d6371309cc9857
Abstract
Gastric cancer (GC) is
characterized by disrupted epithelial integrity, and claudins, key components
of tight junctions, play a critical role in maintaining epithelial barrier
function. Dysregulation of claudins contributes to tumor progression, metastasis,
and chemotherapy resistance. This retrospective study systematically evaluated
the expression patterns, clinical correlations, and prognostic significance of
claudins in GC using data from the PubMed database. We analyzed 37 eligible
studies published between 2015 and 2024, involving 6,842 patients. Our results
showed that claudin-1, -3, -4, and -7 were frequently overexpressed in GC
(pooled positivity rates: 58.7%, 42.3%, 51.6%, and 47.9%, respectively), while
claudin-5 and -18 were downregulated (23.5% and 31.2%). Overexpression of
claudin-1 (odds ratio [OR] = 2.89, 95% confidence interval [CI]: 2.31-3.62, P
< 0.001), -3 (OR = 2.15, 95% CI: 1.76-2.62, P < 0.001), and -4 (OR =
2.47, 95% CI: 1.98-3.08, P < 0.001) was significantly associated with lymph
node metastasis. Reduced claudin-18 expression predicted poor overall survival
(hazard ratio [HR] = 1.87, 95% CI: 1.56-2.24, P < 0.001), while high
claudin-7 was associated with shorter overall survival (HR = 1.63, 95% CI:
1.35-1.97, P < 0.001). These findings highlight claudins as potential
biomarkers and therapeutic targets in GC.
Keywords: Disrupted epithelial integrity; Gastric cancer; Claudin-18
Introduction
Gastric cancer (GC) remains a
leading cause of cancer-related mortality, with invasion and metastasis being
major determinants of poor prognosis1. Tight junctions (TJs) are
essential for epithelial polarity and barrier function, and their disruption is
a hallmark of epithelial-mesenchymal transition (EMT) and tumor progression2. Claudins, a family of
transmembrane proteins (27 members identified to date), are core components of
TJs, regulating paracellular permeability and cell-cell adhesion3.
Dysregulated claudin expression has been reported in various cancers, including GC, but inconsistencies exist regarding specific isoforms, their clinical associations, and prognostic value4,5. This retrospective analysis synthesizes data from PubMed-indexed studies to clarify the expression patterns of claudins in GC, their correlations with clinicopathological features, and their utility as prognostic biomarkers.
Materials and Methods
Data source and search strategy
We
systematically searched the PubMed database using the terms ("gastric
cancer" OR "stomach neoplasm") AND ("claudin" OR
"claudins") with filters for English-language articles, human
studies, and publication dates between January 2015 and December 2024. The last
search was performed on May 10, 2025.
Study selection criteria
Inclusion
criteria were: (1) studies evaluating claudin expression in GC tissues using
immunohistochemistry (IHC); (2) studies analyzing associations between claudin
expression and clinicopathological parameters (TNM stage, lymph node
metastasis, differentiation); (3) studies reporting survival outcomes (overall
survival [OS], disease-free survival [DFS]); (4) studies providing sufficient
data to calculate ORs, HRs, or pooled positivity rates with 95% CIs.
Exclusions: reviews, case reports, preclinical studies without patient data,
and overlapping cohorts.
Data extraction and quality assessment
Two independent reviewers
extracted data, including first author, publication year, country, sample size,
claudin isoform, detection method, positivity rate, and associations with
clinicopathology/survival. Discrepancies were resolved by consensus. Study
quality was evaluated using the Newcastle-Ottawa Scale (NOS), with scores ≥ 6
indicating high quality.
Statistical analysis
Meta-analyses were performed
using Stata 17.0 software. Pooled positivity rates with 95% CIs were calculated
for each claudin isoform. Pooled ORs (clinicopathological associations) and HRs
(survival) with 95% CIs were computed. Heterogeneity was assessed via I²
statistic and Q-test; a random-effects model was used for I² > 50%.
Publication bias was evaluated via Egger's test and funnel plots. P < 0.05
was considered significant.
Results
Claudin expression patterns in GC
Claudin-1 (58.7%, 95% CI:
53.2%-64.2%), -3 (42.3%, 95% CI: 36.8%-47.8%), -4 (51.6%, 95% CI: 46.1%-57.1%),
and -7 (47.9%, 95% CI: 42.0%-53.8%) were frequently overexpressed in GC, while
claudin-5 (23.5%, 95% CI: 18.6%-28.4%) and -18 (31.2%, 95% CI: 25.9%-36.5%)
were downregulated.
Associations with clinicopathological
parameters
Overexpression of
claudin-1 (OR = 2.89, 95% CI: 2.31-3.62, P < 0.001), -3 (OR = 2.15, 95% CI:
1.76-2.62, P < 0.001), and -4 (OR = 2.47, 95% CI: 1.98-3.08, P < 0.001)
was strongly associated with lymph node metastasis. Claudin-1 and -4 were also associated
with advanced TNM stage (OR = 2.36, 95% CI: 1.89-2.95 and OR = 2.01, 95% CI:
1.62-2.49, respectively). Reduced claudin-18 was associated with poor
differentiation (OR = 1.92, 95% CI: 1.51-2.44, P < 0.001).
Prognostic significance
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
identifies distinct expression patterns of claudins in GC, with claudin-1, -3,
-4, and -7 frequently upregulated and claudin-5 and -18 downregulated.
Overexpression of claudin-1, -3, and -4 correlates with lymph node metastasis,
consistent with their role in promoting EMT and invasion6. Claudin-4, for
example, interacts with TGF-β signaling to induce EMT, enhancing metastatic
potential7.
Claudin-18, a
stomach-specific isoform, maintains gastric epithelial integrity; its
downregulation disrupts TJs, facilitating tumor dissemination8. The strong
prognostic value of claudin-18 (HR = 1.87) aligns with preclinical data showing
that claudin-18 loss accelerates GC progression9. Conversely,
claudin-7 overexpression predicts poor prognosis, possibly by stabilizing
β-catenin to activate Wnt signalling10.
Clinically, claudins
offer potential biomarkers and therapeutic targets. Claudin-18.2-targeted
antibodies (e.g., zolbetuximab) have shown efficacy in GC11, validating its
clinical relevance. Claudin-4 inhibitors may reverse chemotherapy resistance12, while claudin-1
targeting could suppress metastasis13.
Limitations include
heterogeneity in IHC cutoffs and claudin isoform selection. Standardized
detection protocols are needed. Future studies should explore claudin
interactomes to identify combinatorial therapeutic strategies.
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