← All .science files
pmid:37286335
CLDN5 identified as a biomarker for metastasis and immune infiltration in gastric cancer via pan-cancer analysis.
Lu Han · De-Jun Cui · Bo Huang · Qian Yang · Tao Huang · Guo-Yuan Lin · Shao-Jie Chen
Aging · 2023 doi:10.18632/aging.204776
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
paper object · 10 fields
authors array · 7 items
claims array · 3 items
[0] object · 6 fields
[1] object · 6 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
assets array · 3 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 6 items
[2] object · 15 fields
structure object · 15 fields
sample_accessions array · 94 items
gaps array · 4 items
analysis object · 4 fields
methods array · 7 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 0 items
missing_operations array · 1 item
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 4 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[3] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[4] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[5] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[6] object · 10 fields
dsl_operations array · 6 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 0 items
gaps array · 1 item
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 2 items
resolved_accessions array · 2 items
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 9 items
assays array · 2 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 1 item
[1] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37286335", "kind": "science-record", "revision": 4, "content_hash": "sha256:be5bbc20286f4d68a67bac249ba3085751a648a58157d628b777638ff9877598", "created_at": "2026-11-01T19:02:00Z", "updated_at": "2026-11-01T22:52:04Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "CLDN5 identified as a biomarker for metastasis and immune infiltration in gastric cancer via pan-cancer analysis.", "doi": "10.18632/aging.204776", "pmid": "37286335", "authors": ["Lu Han", "De-Jun Cui", "Bo Huang", "Qian Yang", "Tao Huang", "Guo-Yuan Lin", "Shao-Jie Chen"], "journal": "Aging", "year": 2023, "abstract": "BACKGROUND: CLDN5 protein is essential for the formation of tight junctions in epithelial cells, and has been associated with epithelial-mesenchymal transition. Research has indicated that CLDN5 is associated with tumor metastasis, the tumor microenvironment, and immunotherapy in multiple types of cancer. Also, no comprehensive evaluation of the expression of CLDN5 and immunotherapy signatures through a pan-cancer analysis or immunoassay has been performed.\nMETHODS: We explored CLDN5's differential expression, survival analysis and clinicopathological staging through the TCGA database, and then corroborated the expression of CLDN5 by utilizing the GEO (Gene expression omnibus) database. To analyze CLDN5 KEGG, GO, and Hallmark mutations, as well as TIMER for immune infiltration, GSEA was utilized with ROC curve, mutation, and other factors such as survival, pathological stage, TME, MSI, TMB, immune cell infiltration, and DNA methylation. Immunohistochemistry was used to assess CLDN5 staining in gastric cancer tissues and paracancerous tissues. Visualization was done with R version 4.2.0 (http://www.rproject.org/).\nRESULTS: According to TCGA database, CLDN5 expression levels differed significantly between cancer and normal tissues, and the GEO database (GSE49051 and GSE 64951) and tissue microarrays confirmed this result. Infiltrating cluster of differentiation 8+ (CD8+) T cells, CD4+ cells, neutrophils, dendritic cells, and macrophages revealed a correlation with CLDN5 expression. DNA methylation, TMB, and MSI are related to CLDN5 expression. Based on the ROC curve analysis, CLDN5 demonstrates outstanding diagnostic effectiveness for gastric cancer and is comparable to CA-199.\nCONCLUSIONS: The findings suggest that CLDN5 is implicated in the oncogenesis of diverse cancer types, underscoring its potential significance in cancer biology. Notably, CLDN5 could have implications in immune filtration and immune checkpoint inhibitor therapies, however, further research is needed to confirm this.", "claims": [{"id": "claim-method", "statement": "Multivariate survival analysis was used to measure the hazard ratios (HRs) and 95% confidence intervals [25].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37286335", "locator": "sections[15] \"CLDN5 prognostic evaluation in pan-cancer\" paragraph 2", "quote": "Multivariate survival analysis was used to measure the hazard ratios (HRs) and 95% confidence intervals [25]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets shown in this study are available in online repositories.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37286335", "locator": "sections[23] \"Data availability statement\" paragraph 2", "quote": "The datasets shown in this study are available in online repositories."}], "state": "complete"}, {"id": "claim-target-result", "statement": "CLDN5 demonstrates outstanding diagnostic effectiveness for gastric cancer and is comparable to CA-199.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37286335", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Based on the ROC curve analysis, CLDN5 demonstrates outstanding diagnostic effectiveness for gastric cancer and is comparable to CA-199."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "CLDN5 demonstrates outstanding diagnostic effectiveness for gastric cancer and is comparable to CA-199.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37286335"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE49051"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE49051"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37286335", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.204776", "sha256": "sha256:73cd5a3c1d38b2d070442692ee1f53e62a963b336548b47d9d4c9a252fb574eb", "bytes": 32294, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.204776", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10292893", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE49051", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE49051", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE49051", "version": null, "note": "The datasets shown in this study are available in online repositories.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets shown in this study are available in online repositories.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1193092", "GSM1193093", "GSM1193094", "GSM1193095", "GSM1193096", "GSM1193097"], "sample_count": 6, "group_sizes": null, "group_sizes_basis": null, "platform": "10332", "taxon": "Homo sapiens", "title": "Gene expression outcome for gastric cancer patients", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE64951", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64951", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE64951", "version": null, "note": "The datasets shown in this study are available in online repositories.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets shown in this study are available in online repositories.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1584837", "GSM1584838", "GSM1584839", "GSM1584840", "GSM1584841", "GSM1584842", "GSM1584843", "GSM1584844", "GSM1584845", "GSM1584846", "GSM1584847", "GSM1584848", "GSM1584849", "GSM1584850", "GSM1584851", "GSM1584852", "GSM1584853", "GSM1584854", "GSM1584855", "GSM1584856", "GSM1584857", "GSM1584858", "GSM1584859", "GSM1584860", "GSM1584861", "GSM1584862", "GSM1584863", "GSM1584864", "GSM1584865", "GSM1584866", "GSM1584867", "GSM1584868", "GSM1584869", "GSM1584870", "GSM1584871", "GSM1584872", "GSM1584873", "GSM1584874", "GSM1584875", "GSM1584876", "GSM1584877", "GSM1584878", "GSM1584879", "GSM1584880", "GSM1584881", "GSM1584882", "GSM1584883", "GSM1584884", "GSM1584885", "GSM1584886", "GSM1584887", "GSM1584888", "GSM1584889", "GSM1584890", "GSM1584891", "GSM1584892", "GSM1584893", "GSM1584894", "GSM1584895", "GSM1584896", "GSM1584897", "GSM1584898", "GSM1584899", "GSM1584900", "GSM1584901", "GSM1584902", "GSM1584903", "GSM1584904", "GSM1584905", "GSM1584906", "GSM1584907", "GSM1584908", "GSM1584909", "GSM1584910", "GSM1584911", "GSM1584912", "GSM1584913", "GSM1584914", "GSM1584915", "GSM1584916", "GSM1584917", "GSM1584918", "GSM1584919", "GSM1584920", "GSM1584921", "GSM1584922", "GSM1584923", "GSM1584924", "GSM1584925", "GSM1584926", "GSM1584927", "GSM1584928", "GSM1584929", "GSM1584930"], "sample_count": 94, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Discovered salivary transcriptomic biomarkers for the detection of gastric cancer", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE49051 not downloaded", "asset:data:geo:GSE49051 licence not read", "asset:data:geo:GSE64951 not downloaded", "asset:data:geo:GSE64951 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Multivariate survival analysis was used to measure the hazard ratios (HRs) and 95% confidence intervals [25]."}}, {"id": "method-2", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-3", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}, {"id": "method-4", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "Cox regression"}}, {"id": "method-5", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-6", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson's correlation"}}, {"id": "method-7", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.7, "band": "medium", "quote": "ROC curve"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE49051", "GSE64951"], "resolved_accessions": ["GSE49051", "GSE64951"], "statements": ["The datasets shown in this study are available in online repositories."], "basis": "The paper names GSE49051, GSE64951 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:37286335", "data:geo:GSE49051"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE49051"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:43:13Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9684, "completion_tokens": 2347, "cached_tokens": 264}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:37286335", "type": "paper", "label": "pmid:37286335"}, {"id": "source:pmid:37286335", "type": "manuscript", "label": "PMID 37286335 full text"}, {"id": "data:geo:GSE49051", "type": "dataset", "label": "GEO GSE49051"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37286335", "type": "paper", "label": "pmid:37286335"}, {"id": "source:pmid:37286335", "type": "manuscript", "label": "PMID 37286335 full text"}, {"id": "data:geo:GSE49051", "type": "dataset", "label": "GEO GSE49051"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37286335", "type": "extraction", "used": ["source:pmid:37286335"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE49051", "type": "accession_resolution", "used": ["data:geo:GSE49051"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:37286335", "parent_hash": "sha256:f4c2b02dec0a9d848642da47ddb0110f3ee707a09f0e5b09cac5adc86e75baaf", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE49051 licence not read", "asset:data:geo:GSE49051 not downloaded", "asset:data:geo:GSE64951 licence not read", "asset:data:geo:GSE64951 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["mune cell infiltration, and DNA methylation. Immunohistochemistry was used to assess CLDN5 staining in gastric"], "order_basis": "paper_text_order:1020", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Multivariate survival analysis was used to measure the hazard ratios (HRs) and 95% confidence intervals [25]."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}