← All .science files
pmid:30026833
NOTCH4 Is a Novel Prognostic Marker that Correlates with Colorectal Cancer Progression and Prognosis.
Guiyang Wu · Zaiping Chen · Jing Li · Fubo Ye · Guoping Chen · Qinghao Fan · Hao Dong · Shichao Yuan · Xiongwen Zhu
Journal of Cancer · 2018 doi:10.7150/jca.26359
Paper
complete
Experiment
complete
Data
partial
Analysis
complete
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 · 9 items
claims array · 3 items
[0] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[1] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[2] object · 6 fields
target object · 4 fields
evidence array · 4 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 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 · 7 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 585 items
[2] object · 16 fields
structure object · 5 fields
table object · 8 fields
rows array · 18 items
[0] array · 4 items
[1] array · 5 items
[2] array · 6 items
[3] array · 5 items
[4] array · 6 items
[5] array · 6 items
[6] array · 5 items
[7] array · 5 items
[8] array · 6 items
[9] array · 5 items
[10] array · 5 items
[11] array · 5 items
[12] array · 6 items
[13] array · 5 items
[14] array · 5 items
[15] array · 6 items
[16] array · 5 items
[17] array · 5 items
[3] object · 16 fields
structure object · 5 fields
table object · 8 fields
rows array · 11 items
[0] array · 3 items
[1] array · 5 items
[2] array · 5 items
[3] array · 5 items
[4] array · 5 items
[5] array · 5 items
[6] array · 5 items
[7] array · 5 items
[8] array · 5 items
[9] array · 5 items
[10] array · 5 items
[4] object · 16 fields
structure object · 5 fields
table object · 8 fields
rows array · 33 items
[0] array · 5 items
[1] array · 6 items
[2] array · 6 items
[3] array · 6 items
[4] array · 6 items
[5] array · 6 items
[6] array · 6 items
[7] array · 6 items
[8] array · 6 items
[9] array · 6 items
[10] array · 6 items
[11] array · 6 items
[12] array · 6 items
[13] array · 6 items
[14] array · 6 items
[15] array · 6 items
[16] array · 6 items
[17] array · 6 items
[18] array · 6 items
[19] array · 6 items
[20] array · 6 items
[21] array · 6 items
[22] array · 6 items
[23] array · 5 items
[24] array · 6 items
[25] array · 6 items
[26] array · 6 items
[27] array · 6 items
[28] array · 6 items
[29] array · 6 items
[30] array · 6 items
[31] array · 6 items
[32] array · 6 items
[5] object · 16 fields
structure object · 5 fields
table object · 8 fields
rows array · 11 items
[0] array · 3 items
[1] array · 5 items
[2] array · 5 items
[3] array · 5 items
[4] array · 5 items
[5] array · 5 items
[6] array · 5 items
[7] array · 5 items
[8] array · 5 items
[9] array · 5 items
[10] array · 5 items
[6] object · 16 fields
structure object · 5 fields
table object · 8 fields
rows array · 12 items
[0] array · 3 items
[1] array · 5 items
[2] array · 5 items
[3] array · 5 items
[4] array · 5 items
[5] array · 5 items
[6] array · 5 items
[7] array · 5 items
[8] array · 5 items
[9] array · 5 items
[10] array · 5 items
[11] array · 5 items
gaps array · 2 items
analysis object · 4 fields
methods array · 5 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 · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 1 item
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 · 2 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 2 items
[0] object · 8 fields
[1] object · 8 fields
gaps array · 0 items
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 · 1 item
resolved_accessions array · 1 item
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 7 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 · 6 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:30026833", "kind": "science-record", "revision": 8, "content_hash": "sha256:a5668abbdb0ea5d43336fe26a551f6b23f3a4fb52ae49d161cb7a845f5d88d84", "created_at": "2026-11-01T15:40:35Z", "updated_at": "2026-11-01T21:59:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "NOTCH4 Is a Novel Prognostic Marker that Correlates with Colorectal Cancer Progression and Prognosis.", "doi": "10.7150/jca.26359", "pmid": "30026833", "authors": ["Guiyang Wu", "Zaiping Chen", "Jing Li", "Fubo Ye", "Guoping Chen", "Qinghao Fan", "Hao Dong", "Shichao Yuan", "Xiongwen Zhu"], "journal": "Journal of Cancer", "year": 2018, "abstract": "Notch family plays vital role in carcinogenesis and progression of various cancer, however, its clinical significance and prognostic value in colorectal cancer isn't fully investigated. In present study, we first investigated the NOTCH4 expression in The Cancer Genome Atlas (TCGA) (n=361) and GSE39582 (n=474) database and then validated with our own database (n=248). The transcriptional and protein levels of NOTCH4 were evaluated by RT-PCR and immunohistochemistry study, respectively. Univariate and multivariate survival analyses were performed to explore the relationship between various prognostic factors and survival outcomes. In the univariate analysis, NOTCH3 and NOTCH4 were significantly correlated with prognosis in TCGA and GSE39582 database, respectively (P<0.05). For NOTCH3 has been studied in CRC, we chosen NOTCH4 for further study. NOTCH4 mRNA was higher in liver metastases than their primary colorectal cancer or normal mucosa. Increased NOTCH4 levels significantly correlated with advanced N stage (P= 0.002), M stage (P= 0.002), lymphovascular invasion (P= 0.026), and CEA status (P= 0.030). Patients with high NOTCH4 expression had shorter 5-year disease-free survival (DFS) (HR 6.809; 95% CI 3.334-13.904; P< 0.001) and overall survival (OS) (HR 6.476; 95% CI 3.307-12.689; P<0.001) than those with low NOTCH4 expression. Multivariate survival analysis demonstrated that NOTCH4 was an independent prognostic biomarker for both DFS (HR 7.848; 95% CI 3.777-16.308; P<0.001) and OS (HR 5.323; 95% CI 2.668-10.623; P<0.001).Collectively, NOTCH4 may play critical role in colorectal cancer progression and could serve as a novel biomarker to predict survival after colectomy.", "claims": [{"id": "claim-method", "statement": "Univariate Cox proportional hazards regressions were applied to estimate the individual hazard ratio (HR) for the DFS and OS. The significant variables in the univariate analyses (P<0.05) were then put into the multivariate analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30026833", "locator": "sections[8] \"Statistical Analysis\" paragraph 2", "quote": "Univariate Cox proportional hazards regressions were applied to estimate the individual hazard ratio (HR) for the DFS and OS. The significant variables in the univariate analyses (P<0.05) were then put into the multivariate analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The expression of Notch family in human CRC specimens were searched and analyzed in TCGA Illumina RNA-Seq datasets and GSE39582 raw microarray data. Gene-level expression data and their clinical characters of CRC samples were downloaded from TCGA database (https://genome-cancer.ucsc.edu/) and GSE39582 database (https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30026833", "locator": "sections[3] \"Data selection in TCGA and GSE39582 cohort\" paragraphs 1-3", "quote": "The expression of Notch family in human CRC specimens were searched and analyzed in TCGA Illumina RNA-Seq datasets and GSE39582 raw microarray data. Gene-level expression data and their clinical characters of CRC samples were downloaded from TCGA database (https://genome-cancer.ucsc.edu/) and GSE39582 database (https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using univariate and multivariate survival analyses of NOTCH4 expression from TCGA (n=361), GSE39582 (n=474), and an external validation cohort (n=248), the study found that high NOTCH4 was an independent prognostic biomarker for shorter disease-free and overall survival.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Patients with high NOTCH4 expression had shorter 5-year disease-free survival (DFS) (HR 6.809; 95% CI 3.334-13.904; P< 0.001) and overall survival (OS) (HR 6.476; 95% CI 3.307-12.689; P<0.001) than those with low NOTCH4 expression."}, "evidence": [{"asset": "source:pmid:30026833", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In present study, we first investigated the NOTCH4 expression in The Cancer Genome Atlas (TCGA) (n=361) and GSE39582 (n=474) database and then validated with our own database (n=248)."}, {"asset": "source:pmid:30026833", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Univariate and multivariate survival analyses were performed to explore the relationship between various prognostic factors and survival outcomes."}, {"asset": "source:pmid:30026833", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Patients with high NOTCH4 expression had shorter 5-year disease-free survival (DFS) (HR 6.809; 95% CI 3.334-13.904; P< 0.001) and overall survival (OS) (HR 6.476; 95% CI 3.307-12.689; P<0.001) than those with low NOTCH4 expression."}, {"asset": "source:pmid:30026833", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Multivariate survival analysis demonstrated that NOTCH4 was an independent prognostic biomarker for both DFS (HR 7.848; 95% CI 3.777-16.308; P<0.001) and OS (HR 5.323; 95% CI 2.668-10.623; P<0.001)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using univariate and multivariate survival analyses of NOTCH4 expression from TCGA (n=361), GSE39582 (n=474), and an external validation cohort (n=248), the study found that high NOTCH4 was an independent prognostic biomarker for shorter disease-free and overall survival.", "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:30026833"], "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:GSE39582"], "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:GSE39582"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30026833", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7150/jca.26359", "sha256": "sha256:c56c610689b3e64764131a2538e824e532f7b327520e08fdb69ce4dd0d464917", "bytes": 23110, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.7150/jca.26359", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6036718", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE39582", "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=GSE39582", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39582", "version": null, "note": "The expression of Notch family in human CRC specimens were searched and analyzed in TCGA Illumina RNA-Seq datasets and GSE39582 raw microarray data. Gene-level expression data and their clinical characters of CRC samples were downloaded from TCGA database (https://genome-cancer.ucsc.edu/) and GSE39582 database (https://www.ncbi.nlm.nih.gov/geo/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The expression of Notch family in human CRC specimens were searched and analyzed in TCGA Illumina RNA-Seq datasets and GSE39582 raw microarray data. Gene-level expression data and their clinical characters of CRC samples were downloaded from TCGA database (https://genome-cancer.ucsc.edu/) and GSE39582 database (https://www.ncbi.nlm.nih.gov/geo/).", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1681353", "GSM1681354", "GSM1681355", "GSM1681356", "GSM1681357", "GSM1681358", "GSM1681359", "GSM1681360", "GSM1681361", "GSM1681362", "GSM1681363", "GSM1681364", "GSM1681365", "GSM1681366", "GSM1681367", "GSM1681368", "GSM1681369", "GSM1681370", "GSM1681371", "GSM971957", "GSM971958", "GSM971959", "GSM971960", "GSM971961", "GSM971962", "GSM971963", "GSM971964", "GSM971965", "GSM971966", "GSM971967", "GSM971968", "GSM971969", "GSM971970", "GSM971971", "GSM971972", "GSM971973", "GSM971974", "GSM971975", "GSM971976", "GSM971977", "GSM971978", "GSM971979", "GSM971980", "GSM971981", "GSM971982", "GSM971983", "GSM971984", "GSM971985", "GSM971986", "GSM971987", "GSM971988", "GSM971989", "GSM971990", "GSM971991", "GSM971992", "GSM971993", "GSM971994", "GSM971995", "GSM971996", "GSM971997", "GSM971998", "GSM971999", "GSM972000", "GSM972001", "GSM972002", "GSM972003", "GSM972004", "GSM972005", "GSM972006", "GSM972007", "GSM972008", "GSM972009", "GSM972010", "GSM972011", "GSM972012", "GSM972013", "GSM972014", "GSM972015", "GSM972016", "GSM972017", "GSM972018", "GSM972019", "GSM972020", "GSM972021", "GSM972022", "GSM972023", "GSM972024", "GSM972025", "GSM972026", "GSM972027", "GSM972028", "GSM972029", "GSM972030", "GSM972031", "GSM972032", "GSM972033", "GSM972034", "GSM972035", "GSM972036", "GSM972037", "GSM972038", "GSM972039", "GSM972040", "GSM972041", "GSM972042", "GSM972043", "GSM972044", "GSM972045", "GSM972046", "GSM972047", "GSM972048", "GSM972049", "GSM972050", "GSM972051", "GSM972052", "GSM972053", "GSM972054", "GSM972055", "GSM972056", "GSM972057", "GSM972058", "GSM972059", "GSM972060", "GSM972061", "GSM972062", "GSM972063", "GSM972064", "GSM972065", "GSM972066", "GSM972067", "GSM972068", "GSM972069", "GSM972070", "GSM972071", "GSM972072", "GSM972073", "GSM972074", "GSM972075", "GSM972076", "GSM972077", "GSM972078", "GSM972079", "GSM972080", "GSM972081", "GSM972082", "GSM972083", "GSM972084", "GSM972085", "GSM972086", "GSM972087", "GSM972088", "GSM972089", "GSM972090", "GSM972091", "GSM972092", "GSM972093", "GSM972094", "GSM972095", "GSM972096", "GSM972097", "GSM972098", "GSM972099", "GSM972100", "GSM972101", "GSM972102", "GSM972103", "GSM972104", "GSM972105", "GSM972106", "GSM972107", "GSM972108", "GSM972109", "GSM972110", "GSM972111", "GSM972112", "GSM972113", "GSM972114", "GSM972115", "GSM972116", "GSM972117", "GSM972118", "GSM972119", "GSM972120", "GSM972121", "GSM972122", "GSM972123", "GSM972124", "GSM972125", "GSM972126", "GSM972127", "GSM972128", "GSM972129", "GSM972130", "GSM972131", "GSM972132", "GSM972133", "GSM972134", "GSM972135", "GSM972136", "GSM972137", "GSM972138", "GSM972139", "GSM972140", "GSM972141", "GSM972142", "GSM972143", "GSM972144", "GSM972145", "GSM972146", "GSM972147", "GSM972148", "GSM972149", "GSM972150", "GSM972151", "GSM972152", "GSM972153", "GSM972154", "GSM972155", "GSM972156", "GSM972157", "GSM972158", "GSM972159", "GSM972160", "GSM972161", "GSM972162", "GSM972163", "GSM972164", "GSM972165", "GSM972166", "GSM972167", "GSM972168", "GSM972169", "GSM972170", "GSM972171", "GSM972172", "GSM972173", "GSM972174", "GSM972175", "GSM972176", "GSM972177", "GSM972178", "GSM972179", "GSM972180", "GSM972181", "GSM972182", "GSM972183", "GSM972184", "GSM972185", "GSM972186", "GSM972187", "GSM972188", "GSM972189", "GSM972190", "GSM972191", "GSM972192", "GSM972193", "GSM972194", "GSM972195", "GSM972196", "GSM972197", "GSM972198", "GSM972199", "GSM972200", "GSM972201", "GSM972202", "GSM972203", "GSM972204", "GSM972205", "GSM972206", "GSM972207", "GSM972208", "GSM972209", "GSM972210", "GSM972211", "GSM972212", "GSM972213", "GSM972214", "GSM972215", "GSM972216", "GSM972217", "GSM972218", "GSM972219", "GSM972220", "GSM972221", "GSM972222", "GSM972223", "GSM972224", "GSM972225", "GSM972226", "GSM972227", "GSM972228", "GSM972229", "GSM972230", "GSM972231", "GSM972232", "GSM972233", "GSM972234", "GSM972235", "GSM972236", "GSM972237", "GSM972238", "GSM972239", "GSM972240", "GSM972241", "GSM972242", "GSM972243", "GSM972244", "GSM972245", "GSM972246", "GSM972247", "GSM972248", "GSM972249", "GSM972250", "GSM972251", "GSM972252", "GSM972253", "GSM972254", "GSM972255", "GSM972256", "GSM972257", "GSM972258", "GSM972259", "GSM972260", "GSM972261", "GSM972262", "GSM972263", "GSM972264", "GSM972265", "GSM972266", "GSM972267", "GSM972268", "GSM972269", "GSM972270", "GSM972271", "GSM972272", "GSM972273", "GSM972274", "GSM972275", "GSM972276", "GSM972277", "GSM972278", "GSM972279", "GSM972280", "GSM972281", "GSM972282", "GSM972283", "GSM972284", "GSM972285", "GSM972286", "GSM972287", "GSM972288", "GSM972289", "GSM972290", "GSM972291", "GSM972292", "GSM972293", "GSM972294", "GSM972295", "GSM972296", "GSM972297", "GSM972298", "GSM972299", "GSM972300", "GSM972301", "GSM972302", "GSM972303", "GSM972304", "GSM972305", "GSM972306", "GSM972307", "GSM972308", "GSM972309", "GSM972310", "GSM972311", "GSM972312", "GSM972313", "GSM972314", "GSM972315", "GSM972316", "GSM972317", "GSM972318", "GSM972319", "GSM972320", "GSM972321", "GSM972322", "GSM972323", "GSM972324", "GSM972325", "GSM972326", "GSM972327", "GSM972328", "GSM972329", "GSM972330", "GSM972331", "GSM972332", "GSM972333", "GSM972334", "GSM972335", "GSM972336", "GSM972337", "GSM972338", "GSM972339", "GSM972340", "GSM972341", "GSM972342", "GSM972343", "GSM972344", "GSM972345", "GSM972346", "GSM972347", "GSM972348", "GSM972349", "GSM972350", "GSM972351", "GSM972352", "GSM972353", "GSM972354", "GSM972355", "GSM972356", "GSM972357", "GSM972358", "GSM972359", "GSM972360", "GSM972361", "GSM972362", "GSM972363", "GSM972364", "GSM972365", "GSM972366", "GSM972367", "GSM972368", "GSM972369", "GSM972370", "GSM972371", "GSM972372", "GSM972373", "GSM972374", "GSM972375", "GSM972376", "GSM972377", "GSM972378", "GSM972379", "GSM972380", "GSM972381", "GSM972382", "GSM972383", "GSM972384", "GSM972385", "GSM972386", "GSM972387", "GSM972388", "GSM972389", "GSM972390", "GSM972391", "GSM972392", "GSM972393", "GSM972394", "GSM972395", "GSM972396", "GSM972397", "GSM972398", "GSM972399", "GSM972400", "GSM972401", "GSM972402", "GSM972403", "GSM972404", "GSM972405", "GSM972406", "GSM972407", "GSM972408", "GSM972409", "GSM972410", "GSM972411", "GSM972412", "GSM972413", "GSM972414", "GSM972415", "GSM972416", "GSM972417", "GSM972418", "GSM972419", "GSM972420", "GSM972421", "GSM972422", "GSM972423", "GSM972424", "GSM972425", "GSM972426", "GSM972427", "GSM972428", "GSM972429", "GSM972430", "GSM972431", "GSM972432", "GSM972433", "GSM972434", "GSM972435", "GSM972436", "GSM972437", "GSM972438", "GSM972439", "GSM972440", "GSM972441", "GSM972442", "GSM972443", "GSM972444", "GSM972445", "GSM972446", "GSM972447", "GSM972448", "GSM972449", "GSM972450", "GSM972451", "GSM972452", "GSM972453", "GSM972454", "GSM972455", "GSM972456", "GSM972457", "GSM972458", "GSM972459", "GSM972460", "GSM972461", "GSM972462", "GSM972463", "GSM972464", "GSM972465", "GSM972466", "GSM972467", "GSM972468", "GSM972469", "GSM972470", "GSM972471", "GSM972472", "GSM972473", "GSM972474", "GSM972475", "GSM972476", "GSM972477", "GSM972478", "GSM972479", "GSM972480", "GSM972481", "GSM972482", "GSM972483", "GSM972484", "GSM972485", "GSM972486", "GSM972487", "GSM972488", "GSM972489", "GSM972490", "GSM972491", "GSM972492", "GSM972493", "GSM972494", "GSM972495", "GSM972496", "GSM972497", "GSM972498", "GSM972499", "GSM972500", "GSM972501", "GSM972502", "GSM972503", "GSM972504", "GSM972505", "GSM972506", "GSM972507", "GSM972508", "GSM972509", "GSM972510", "GSM972511", "GSM972512", "GSM972513", "GSM972514", "GSM972515", "GSM972516", "GSM972517", "GSM972518", "GSM972519", "GSM972520", "GSM972521", "GSM972522"], "sample_count": 585, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:30026833:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:be92277634d43cd65c02fd06601845e7672a46dc736615738f8dca2d43ad8a13", "bytes": 873, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#T1", "version": null, "note": "Clinical characteristics of patients with colorectal cancer in the TCGA and GSE39582 database", "structure": {"pmcid": "PMC6036718", "section_index": 10, "section_title": "Notch family expression in TCGA database and GSE39582 database", "row_count": 18, "column_count": 6}, "table": {"label": "Table 1", "caption": "Clinical characteristics of patients with colorectal cancer in the TCGA and GSE39582 database", "rows": [["Variable", "", "TCGA", "GSE39582"], ["", "N", "%", "N", "%"], ["Sex", "Male", "201", "55.7", "213", "44.9"], ["Female", "160", "44.3", "261", "55.1"], ["Age", "", "64", "31-90", "67", "22-97"], ["T stage", "T1/T2", "68", "18.8", "52", "11.0"], ["T3/T4", "291", "80.6", "418", "88.2"], ["TX", "2", "0.6", "4", "0.8"], ["N stage", "N0", "198", "54.8", "283", "59.7"], ["N1", "98", "27.1", "108", "22.8"], ["N2", "63", "17.5", "78", "16.5"], ["Nx", "2", "0.6", "5", "1.1"], ["M stage", "M0", "299", "82.9", "474", "100"], ["M1", "50", "13.9", "/", "/"], ["Mx", "12", "3.3", "/", "/"], ["Lymphovascular invasion", "Negative", "203", "56.2", "/", "/"], ["Positive", "112", "31.0", "/", "/"], ["Unknown", "46", "12.7", "/", "/"]], "row_count": 18, "column_count": 6, "numeric_cells": 55, "header_rows": 2, "locator": "section[10]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:30026833:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a36bc8abfae83ee09e55ea87ec2287747ac506600d1b706d6db53aa66fd67fe0", "bytes": 1002, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[2]#T2", "version": null, "note": "Univariate Cox proportional hazards analysis of NOTCH gene expression and overall survival (TCGA) or relapse free survival (GSE39582) for patients with colorectal cancer.", "structure": {"pmcid": "PMC6036718", "section_index": 10, "section_title": "Notch family expression in TCGA database and GSE39582 database", "row_count": 11, "column_count": 5}, "table": {"label": "Table 2", "caption": "Univariate Cox proportional hazards analysis of NOTCH gene expression and overall survival (TCGA) or relapse free survival (GSE39582) for patients with colorectal cancer.", "rows": [["", "TCGA", "GSE39582"], ["Factor", "HR (95% CI)", "P", "HR (95% CI)", "P"], ["NOTCH1", "0.922(0.638-1.332)", "0.667", "0.960(0.622-1.483)", "0.856"], ["NOTCH2", "0.979(0.692-1.385)", "0.907", "1.471(0.976-2.217)", "0.065"], ["NOTCH3", "1.312(1.065-1.617)", "0.011", "1.982(1.435-2.737)", "<0.001"], ["NOTCH4", "1.378(1.057-1.796)", "0.018", "2.995(1.650-5.435)", "<0.001"], ["JAG1", "1.102(0.865-1.403)", "0.431", "0.847(0.639-1.122)", "0.248"], ["JAG2", "1.050(0.781-1.412)", "0.748", "0.832(0.656-1.055)", "0.129"], ["DLL1", "1.106(0.867-1.413)", "0.417", "0.968(0.668-1.402)", "0.865"], ["DLL3", "1.065(0.921-1.231)", "0.397", "2.044(1.012-4.130)", "0.046"], ["DLL4", "1.570(1.061-2.324)", "0.024", "1.648(0.990-2.742)", "0.055"]], "row_count": 11, "column_count": 5, "numeric_cells": 39, "header_rows": 2, "locator": "section[10]/table-wrap[2]#T2"}}, {"id": "asset:table:pmid:30026833:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:f2e6b0d27bf57f77836d4e05e3b42a65dcc10b17b85e7e6db02eab39ca629f9b", "bytes": 1645, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#T3", "version": null, "note": "Association between NOTCH4 expression and clinicpathological factors in the validation cohort.", "structure": {"pmcid": "PMC6036718", "section_index": 11, "section_title": "Expression patterns of NOTCH4 in CRC", "row_count": 33, "column_count": 6}, "table": {"label": "Table 3", "caption": "Association between NOTCH4 expression and clinicpathological factors in the validation cohort.", "rows": [["Variable", "n", "NOTCH4 Expression", "χ2 Value", "P value"], ["", "", "Low", "High", "", ""], ["Gender", "", "", "", "1.132", "0.287"], ["Male", "149", "65(56.5)", "84(63.2)", "", ""], ["Female", "99", "50(43.5)", "49(36.8)", "", ""], ["Age", "", "", "", "1.394", "0.238"], ["≦60", "152", "75(65.2)", "77(57.9)", "", ""], [">60", "96", "40(34.8)", "56(42.1)", "", ""], ["T category", "", "", "", "4.367", "0.113"], ["T1/2", "36", "23(20.2)", "14(10.5)", "", ""], ["T3", "51", "22(19.1)", "29(21.8)", "", ""], ["T4", "160", "70(60.9)", "90(67.7)", "", ""], ["N stage", "", "", "", "12.795", "0.002"], ["N0", "107", "61(53.0)", "46(34.6)", "", ""], ["N1", "81", "25(21.7)", "56(42.1)", "", ""], ["N2", "60", "29(25.2)", "31(23.3)", "", ""], ["M stage", "", "", "", "9.689", "0.002"], ["M0", "215", "108(93.9)", "107(80.5)", "", ""], ["M1", "33", "7(6.1)", "26(19.5)", "", ""], ["Pathological grading", "", "", "", "2.225", "0.329"], ["High", "69", "28(24.3)", "41(30.8)", "", ""], ["Moderate", "125", "66(57.4)", "59(44.4)", "", ""], ["Poor", "54", "21(18.3)", "33(24.8)", "", ""], ["Lymphovascular invasion", "", "", "4.718", "0.030"], ["Negative", "194", "97(84.3)", "97(72.7)", "", ""], ["Positive", "54", "18(15.7)", "36(27.1)", "", ""], ["Perineural invasion", "", "", "", "0.007", "0.933"], ["Negative", "213", "99(86.1)", "114(85.7)", "", ""], ["Positive", "35", "16(13.9)", "19(14.3)", "", ""], ["CEA status", "", "", "", "7.272", "0.026a"], ["Normal", "157", "83(72.2)", "74(55.6)", "", ""], ["High", "82", "29(25.2)", "53(39.8)", "", ""], ["Unknown", "9", "3(2.6)", "6(4.5)", "", ""]], "row_count": 33, "column_count": 6, "numeric_cells": 88, "header_rows": 2, "locator": "section[11]/table-wrap[1]#T3"}}, {"id": "asset:table:pmid:30026833:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:8dffbd9d06f7e5ca45c2b0b0a8ad85fd5711a460d05a75b690c948f4307ab6ff", "bytes": 989, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#T4", "version": null, "note": "Univariate and multivariate Cox proportional hazards analysis of NOTCH4 expression and disease free survival for patients with colorectal cancer in the validation cohort", "structure": {"pmcid": "PMC6036718", "section_index": 12, "section_title": "Upregulation of NOTCH4 is associated with poor prognosis in CRC", "row_count": 11, "column_count": 5}, "table": {"label": "Table 4", "caption": "Univariate and multivariate Cox proportional hazards analysis of NOTCH4 expression and disease free survival for patients with colorectal cancer in the validation cohort", "rows": [["", "Univariate analysis", "Multivariate analysis"], ["Factor", "HR (95% CI)", "P", "HR (95% CI)", "P"], ["Gender", "0.869(0.506-1.492)", "0.610", "", ""], ["Age", "1.349(0.7961-2.285)", "0.266", "", ""], ["T stage", "1.982(1.263-3.110)", "0.003", "1.694(1.069-2.684)", "0.025"], ["N stage", "2.013(1.455-2.785)", "<0.001", "2.212(1.504-3.254)", "<0.001"], ["Grade", "1.364(0.933-1.994)", "0.109", "", ""], ["Lymphovascular invasion", "2.588(1.474-4.544)", "0.001", "1.498(0.833-2.693)", "0.177"], ["Perineural invasion", "2.149(1.155-3.998)", "0.016", "1.206(0.623-2.335)", "0.579"], ["Tumor location", "0.850(0.503-1.436)", "0.542", "", ""], ["NOTCH4", "6.809 (3.334-13.904)", "<0.001", "7.848(3.777-16.308)", "<0.001"]], "row_count": 11, "column_count": 5, "numeric_cells": 30, "header_rows": 2, "locator": "section[12]/table-wrap[1]#T4"}}, {"id": "asset:table:pmid:30026833:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4300bbe9ab718daaf0083899fc673379b55ba1bf5461e5f120130c74efe80599", "bytes": 1036, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[2]#T5", "version": null, "note": "Univariate and multivariate Cox proportional hazards analysis of NOTCH4 expression and overall survival for patients with colorectal cancer in the validation cohort", "structure": {"pmcid": "PMC6036718", "section_index": 12, "section_title": "Upregulation of NOTCH4 is associated with poor prognosis in CRC", "row_count": 12, "column_count": 5}, "table": {"label": "Table 5", "caption": "Univariate and multivariate Cox proportional hazards analysis of NOTCH4 expression and overall survival for patients with colorectal cancer in the validation cohort", "rows": [["", "Univariate analysis", "Multivariate analysis"], ["Factor", "HR (95% CI)", "P", "HR (95% CI)", "P"], ["Gender", "0.558 (0.527-1.413)", "0.558", "", ""], ["Age", "1.381(0.857-2.226)", "0.185", "", ""], ["Grade", "1.211(0.862-1.701)", "0.270", "", ""], ["T stage", "2.419(1.500-3.902)", "<0.001", "1.785(1.102-2.890)", "0.019"], ["N stage", "2.091 (1.547-2.825)", "<0.001", "1.686(1.172-2.425)", "0.005"], ["M stage", "8.486(5.080-14.175)", "<0.001", "3.571(1.995-6.394)", "<0.001"], ["Lymphovascular invasion", "2.761(1.690-4.511)", "<0.001", "1.068(0.614-1.858)", "0.816"], ["Perineural invasion", "1.480(0.809-2.710)", "0.204", "", ""], ["Tumor location", "0.669 (0.415-1.078)", "0.099", "", ""], ["NOTCH4", "6.476(3.307-12.689)", "<0.001", "5.323(2.668-10.623)", "<0.001"]], "row_count": 12, "column_count": 5, "numeric_cells": 32, "header_rows": 2, "locator": "section[12]/table-wrap[2]#T5"}}], "gaps": ["asset:data:geo:GSE39582 not downloaded", "asset:data:geo:GSE39582 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "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": 1.0, "band": "verbatim", "quote": "Univariate Cox proportional hazards regressions were applied to estimate the individual hazard ratio (HR) for the DFS and OS. The significant variables in the univariate analyses (P<0.05) were then put into the multivariate analysis."}}, {"id": "method-2", "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": 0.8, "band": "high", "quote": "Kaplan-Meier"}}, {"id": "method-3", "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-4", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "χ2"}}, {"id": "method-5", "family": "contingency_analysis", "specific": "fisher_exact", "label": "Categorical (contingency table) analysis", "dsl_operations": ["contingency_table", "chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "Fisher's exact"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "chi_square_test", "expected_value": 95.0, "unit": "per cent", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none."}, {"id": "target-published-estimate-p-value", "claim_id": "claim-target-result", "operation": "chi_square_test", "expected_value": 0.001, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "gaps": []}, "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": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "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": ["GSE39582"], "resolved_accessions": ["GSE39582"], "statements": ["The expression of Notch family in human CRC specimens were searched and analyzed in TCGA Illumina RNA-Seq datasets and GSE39582 raw microarray data. Gene-level expression data and their clinical characters of CRC samples were downloaded from TCGA database (https://genome-cancer.ucsc.edu/) and GSE39582 database (https://www.ncbi.nlm.nih.gov/geo/)."], "basis": "The paper names GSE39582 in GSE39582 database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:30026833", "data:geo:GSE39582", "asset:table:pmid:30026833:1", "asset:table:pmid:30026833:2", "asset:table:pmid:30026833:3", "asset:table:pmid:30026833:4", "asset:table:pmid:30026833:5"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE39582"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:35:14Z", "independence": "same_provider"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 8, "usage": {"prompt_tokens": 52569, "completion_tokens": 3799, "cached_tokens": 13832}}, "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:30026833", "type": "paper", "label": "pmid:30026833"}, {"id": "source:pmid:30026833", "type": "manuscript", "label": "PMID 30026833 full text"}, {"id": "data:geo:GSE39582", "type": "dataset", "label": "GEO GSE39582"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:30026833", "type": "paper", "label": "pmid:30026833"}, {"id": "source:pmid:30026833", "type": "manuscript", "label": "PMID 30026833 full text"}, {"id": "data:geo:GSE39582", "type": "dataset", "label": "GEO GSE39582"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-30026833", "type": "extraction", "used": ["source:pmid:30026833"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE39582", "type": "accession_resolution", "used": ["data:geo:GSE39582"], "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:30026833", "parent_hash": "sha256:be5130e3ec7ebcb947627d38499b47ee76d7b8ef2228ade1e844783d0e8d774e", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE39582 licence not read", "asset:data:geo:GSE39582 not downloaded", "execution.not_run", "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": ["evels of NOTCH4 were evaluated by RT-PCR and immunohistochemistry study, respectively. Univariate and multivar"], "order_basis": "paper_text_order:505", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate Cox proportional hazards regressions were applied to estimate the individual hazard ratio (HR) for the DFS and OS. The significant variables in the univariate analyses (P<0.05) were then put into the multivariate analysis."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}