← All .science files
pmid:35516457
Characterization of a Pyroptosis-Related Signature for Prognosis Prediction and Immune Microenvironment Infiltration in Prostate Cancer.
Guian Zhang · Yong Luo · Weimin Dong · Weide Zhong
Computational and mathematical methods in medicine · 2022 doi:10.1155/2022/8233840
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 · 4 items
claims array · 3 items
[0] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[1] object · 6 fields
[2] object · 6 fields
evidence array · 2 items
[0] 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 · 3 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 248 items
[2] object · 15 fields
structure object · 15 fields
sample_accessions array · 370 items
gaps array · 4 items
analysis object · 4 fields
methods array · 2 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
targets array · 0 items
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 · 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 · 8 items
assays array · 1 item
[0] 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:35516457", "kind": "science-record", "revision": 3, "content_hash": "sha256:016f3f3ba2953d59911370fdafa73d2a3394d5c4c5eb4bc366b80a7e708dd2f4", "created_at": "2026-11-01T18:14:24Z", "updated_at": "2026-11-01T21:27:48Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Characterization of a Pyroptosis-Related Signature for Prognosis Prediction and Immune Microenvironment Infiltration in Prostate Cancer.", "doi": "10.1155/2022/8233840", "pmid": "35516457", "authors": ["Guian Zhang", "Yong Luo", "Weimin Dong", "Weide Zhong"], "journal": "Computational and mathematical methods in medicine", "year": 2022, "abstract": "This study was aimed at constructing a pyroptosis-related signature for prostate cancer (PCa) and elucidating the prognosis and immune landscape and the sensitivity of immune checkpoint blockade (ICB) therapy in signature-define subgroups of PCa. We identified 22 differentially expressed pyroptosis-related genes in PCa from The Cancer Genome Atlas (TCGA) database. The pyroptosis-related genes could divide PCa patients into two clusters with differences in survival. Seven genes were determined to construct a signature that was confirmed by qRT-PCR to be closely associated with the biological characteristics of malignant PCa. The signature could effectively and independently predict the biochemical recurrence (BCR) of PCa, which was validated in the GSE116918 and GSE21034. We found that patients in the high-risk group were more prone to BCR and closely associated with high-grade and advanced-stage disease progression. Outperforming clinical characteristics and nine published articles, our signature demonstrated excellent predictive performance. The patients in the low-risk group were strongly related to the high infiltration of various immune cells including CD8+ T cells and plasma B cells. Furthermore, the high-risk group with higher TMB levels and expression of immune checkpoints was more likely to benefit from immune checkpoint therapy such as PD-1 and CTLA-4 inhibitors. The sensitivity to chemotherapy, endocrine, and targeted therapy showed significant differences in the two risk groups. Our signature was a novel therapeutic strategy to distinguish the prognosis and guide treatment strategies.", "claims": [{"id": "claim-method", "statement": "Then, we performed univariate Cox regression and Lasso regression analysis, in which the best values of the penalty parameter were determined by 10-fold cross-validation (Figures 4(a) and 4(b)).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35516457", "locator": "sections[16] \"3.3. Construction and Evaluation of Prognostic Signature for PCa\" paragraph 2", "quote": "Then, we performed univariate Cox regression and Lasso regression analysis, in which the best values of the penalty parameter were determined by 10-fold cross-validation (Figures 4(a) and 4(b))."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35516457", "locator": "sections[27] \"Data Availability\" paragraph 2", "quote": "All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study constructed a seven-gene pyroptosis-related prognostic signature that independently predicted biochemical recurrence in prostate cancer and was validated in GSE116918 and GSE21034.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35516457", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Seven genes were determined to construct a signature that was confirmed by qRT-PCR to be closely associated with the biological characteristics of malignant PCa."}, {"asset": "source:pmid:35516457", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The signature could effectively and independently predict the biochemical recurrence (BCR) of PCa, which was validated in the GSE116918 and GSE21034."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study constructed a seven-gene pyroptosis-related prognostic signature that independently predicted biochemical recurrence in prostate cancer and was validated in GSE116918 and GSE21034.", "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:35516457"], "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:GSE116918"], "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:GSE116918"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35516457", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/8233840", "sha256": "sha256:80b87cb57762ae11ba57a29a6832e36c5a61e9746603f9d0b02ce79dd65bf1c3", "bytes": 53341, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2022/8233840", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9066377", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE116918", "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=GSE116918", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE116918", "version": null, "note": "All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3263664", "GSM3263665", "GSM3263666", "GSM3263667", "GSM3263668", "GSM3263669", "GSM3263670", "GSM3263671", "GSM3263672", "GSM3263673", "GSM3263674", "GSM3263675", "GSM3263676", "GSM3263677", "GSM3263678", "GSM3263679", "GSM3263680", "GSM3263681", "GSM3263682", "GSM3263683", "GSM3263684", "GSM3263685", "GSM3263686", "GSM3263687", "GSM3263688", "GSM3263689", "GSM3263690", "GSM3263691", "GSM3263692", "GSM3263693", "GSM3263694", "GSM3263695", "GSM3263696", "GSM3263697", "GSM3263698", "GSM3263699", "GSM3263700", "GSM3263701", "GSM3263702", "GSM3263703", "GSM3263704", "GSM3263705", "GSM3263706", "GSM3263707", "GSM3263708", "GSM3263709", "GSM3263710", "GSM3263711", "GSM3263712", "GSM3263713", "GSM3263714", "GSM3263715", "GSM3263716", "GSM3263717", "GSM3263718", "GSM3263719", "GSM3263720", "GSM3263721", "GSM3263722", "GSM3263723", "GSM3263724", "GSM3263725", "GSM3263726", "GSM3263727", "GSM3263728", "GSM3263729", "GSM3263730", "GSM3263731", "GSM3263732", "GSM3263733", "GSM3263734", "GSM3263735", "GSM3263736", "GSM3263737", "GSM3263738", "GSM3263739", "GSM3263740", "GSM3263741", "GSM3263742", "GSM3263743", "GSM3263744", "GSM3263745", "GSM3263746", "GSM3263747", "GSM3263748", "GSM3263749", "GSM3263750", "GSM3263751", "GSM3263752", "GSM3263753", "GSM3263754", "GSM3263755", "GSM3263756", "GSM3263757", "GSM3263758", "GSM3263759", "GSM3263760", "GSM3263761", "GSM3263762", "GSM3263763", "GSM3263764", "GSM3263765", "GSM3263766", "GSM3263767", "GSM3263768", "GSM3263769", "GSM3263770", "GSM3263771", "GSM3263772", "GSM3263773", "GSM3263774", "GSM3263775", "GSM3263776", "GSM3263777", "GSM3263778", "GSM3263779", "GSM3263780", "GSM3263781", "GSM3263782", "GSM3263783", "GSM3263784", "GSM3263785", "GSM3263786", "GSM3263787", "GSM3263788", "GSM3263789", "GSM3263790", "GSM3263791", "GSM3263792", "GSM3263793", "GSM3263794", "GSM3263795", "GSM3263796", "GSM3263797", "GSM3263798", "GSM3263799", "GSM3263800", "GSM3263801", "GSM3263802", "GSM3263803", "GSM3263804", "GSM3263805", "GSM3263806", "GSM3263807", "GSM3263808", "GSM3263809", "GSM3263810", "GSM3263811", "GSM3263812", "GSM3263813", "GSM3263814", "GSM3263815", "GSM3263816", "GSM3263817", "GSM3263818", "GSM3263819", "GSM3263820", "GSM3263821", "GSM3263822", "GSM3263823", "GSM3263824", "GSM3263825", "GSM3263826", "GSM3263827", "GSM3263828", "GSM3263829", "GSM3263830", "GSM3263831", "GSM3263832", "GSM3263833", "GSM3263834", "GSM3263835", "GSM3263836", "GSM3263837", "GSM3263838", "GSM3263839", "GSM3263840", "GSM3263841", "GSM3263842", "GSM3263843", "GSM3263844", "GSM3263845", "GSM3263846", "GSM3263847", "GSM3263848", "GSM3263849", "GSM3263850", "GSM3263851", "GSM3263852", "GSM3263853", "GSM3263854", "GSM3263855", "GSM3263856", "GSM3263857", "GSM3263858", "GSM3263859", "GSM3263860", "GSM3263861", "GSM3263862", "GSM3263863", "GSM3263864", "GSM3263865", "GSM3263866", "GSM3263867", "GSM3263868", "GSM3263869", "GSM3263870", "GSM3263871", "GSM3263872", "GSM3263873", "GSM3263874", "GSM3263875", "GSM3263876", "GSM3263877", "GSM3263878", "GSM3263879", "GSM3263880", "GSM3263881", "GSM3263882", "GSM3263883", "GSM3263884", "GSM3263885", "GSM3263886", "GSM3263887", "GSM3263888", "GSM3263889", "GSM3263890", "GSM3263891", "GSM3263892", "GSM3263893", "GSM3263894", "GSM3263895", "GSM3263896", "GSM3263897", "GSM3263898", "GSM3263899", "GSM3263900", "GSM3263901", "GSM3263902", "GSM3263903", "GSM3263904", "GSM3263905", "GSM3263906", "GSM3263907", "GSM3263908", "GSM3263909", "GSM3263910", "GSM3263911"], "sample_count": 248, "group_sizes": null, "group_sizes_basis": null, "platform": "25318", "taxon": "Homo sapiens", "title": "Using biopsies to improve risk stratification in patients with prostate cancer treated with radical radiation therapy", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE21034", "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=GSE21034", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE21034", "version": null, "note": "All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM526134", "GSM526135", "GSM526136", "GSM526137", "GSM526138", "GSM526139", "GSM526140", "GSM526141", "GSM526142", "GSM526143", "GSM526144", "GSM526145", "GSM526146", "GSM526147", "GSM526148", "GSM526149", "GSM526150", "GSM526151", "GSM526152", "GSM526153", "GSM526154", "GSM526155", "GSM526156", "GSM526157", "GSM526158", "GSM526159", "GSM526160", "GSM526161", "GSM526162", "GSM526163", "GSM526164", "GSM526165", "GSM526166", "GSM526167", "GSM526168", "GSM526169", "GSM526170", "GSM526171", "GSM526172", "GSM526173", "GSM526174", "GSM526175", "GSM526176", "GSM526177", "GSM526178", "GSM526179", "GSM526180", "GSM526181", "GSM526182", "GSM526183", "GSM526184", "GSM526185", "GSM526186", "GSM526187", "GSM526188", "GSM526189", "GSM526190", "GSM526191", "GSM526192", "GSM526193", "GSM526194", "GSM526195", "GSM526196", "GSM526197", "GSM526198", "GSM526199", "GSM526200", "GSM526201", "GSM526202", "GSM526203", "GSM526204", "GSM526205", "GSM526206", "GSM526207", "GSM526208", "GSM526209", "GSM526210", "GSM526211", "GSM526212", "GSM526213", "GSM526214", "GSM526215", "GSM526216", "GSM526217", "GSM526218", "GSM526219", "GSM526220", "GSM526221", "GSM526222", "GSM526223", "GSM526224", "GSM526225", "GSM526226", "GSM526227", "GSM526228", "GSM526229", "GSM526230", "GSM526231", "GSM526232", "GSM526233", "GSM526234", "GSM526235", "GSM526236", "GSM526237", "GSM526238", "GSM526239", "GSM526240", "GSM526241", "GSM526242", "GSM526243", "GSM526244", "GSM526245", "GSM526246", "GSM526247", "GSM526248", "GSM526249", "GSM526250", "GSM526251", "GSM526252", "GSM526253", "GSM526254", "GSM526255", "GSM526256", "GSM526257", "GSM526258", "GSM526259", "GSM526260", "GSM526261", "GSM526262", "GSM526263", "GSM526264", "GSM526265", "GSM526266", "GSM526267", "GSM526268", "GSM526269", "GSM526270", "GSM526271", "GSM526272", "GSM526273", "GSM526274", "GSM526275", "GSM526276", "GSM526277", "GSM526278", "GSM526279", "GSM526280", "GSM526281", "GSM526282", "GSM526283", "GSM526284", "GSM526285", "GSM526286", "GSM526287", "GSM526288", "GSM526289", "GSM526290", "GSM526291", "GSM526292", "GSM526293", "GSM526294", "GSM526295", "GSM526296", "GSM526297", "GSM526298", "GSM526299", "GSM526300", "GSM526301", "GSM526302", "GSM526303", "GSM526304", "GSM526305", "GSM526306", "GSM526307", "GSM526308", "GSM526309", "GSM526310", "GSM526311", "GSM526312", "GSM526313", "GSM526314", "GSM526315", "GSM526316", "GSM526317", "GSM526318", "GSM527858", "GSM527859", "GSM527860", "GSM527861", "GSM527862", "GSM527863", "GSM527864", "GSM527865", "GSM527866", "GSM527867", "GSM527868", "GSM527869", "GSM527870", "GSM527871", "GSM527872", "GSM527873", "GSM527874", "GSM527875", "GSM527876", "GSM527877", "GSM527878", "GSM527879", "GSM527880", "GSM527881", "GSM527882", "GSM527883", "GSM527884", "GSM527885", "GSM527886", "GSM527887", "GSM527888", "GSM527889", "GSM527890", "GSM527891", "GSM527892", "GSM527893", "GSM527894", "GSM527895", "GSM527896", "GSM527897", "GSM527898", "GSM527899", "GSM527900", "GSM527901", "GSM527902", "GSM527903", "GSM527904", "GSM527905", "GSM527906", "GSM527907", "GSM527908", "GSM527909", "GSM527910", "GSM527911", "GSM527912", "GSM527913", "GSM527914", "GSM527915", "GSM527916", "GSM527917", "GSM527918", "GSM527919", "GSM527920", "GSM527921", "GSM527922", "GSM527923", "GSM527924", "GSM527925", "GSM527926", "GSM527927", "GSM527928", "GSM527929", "GSM527930", "GSM527931", "GSM527932", "GSM527933", "GSM527934", "GSM527935", "GSM527936", "GSM527937", "GSM527938", "GSM527939", "GSM527940", "GSM527941", "GSM527942", "GSM527943", "GSM527944", "GSM527945", "GSM527946", "GSM527947", "GSM527948", "GSM527949", "GSM527950", "GSM527951", "GSM527952", "GSM527953", "GSM527954", "GSM527955", "GSM527956", "GSM527957", "GSM527958", "GSM527959", "GSM527960", "GSM527961", "GSM527962", "GSM527963", "GSM527965", "GSM527966", "GSM527968", "GSM527970", "GSM527971", "GSM527972", "GSM527973", "GSM527974", "GSM527975", "GSM527977", "GSM527979", "GSM527980", "GSM527982", "GSM527984", "GSM527985", "GSM527986", "GSM527987", "GSM527988", "GSM527989", "GSM527990", "GSM527991", "GSM527992", "GSM527993", "GSM527994", "GSM527995", "GSM527996", "GSM527997", "GSM527998", "GSM527999", "GSM528000", "GSM528001", "GSM528002", "GSM528003", "GSM528004", "GSM528005", "GSM528006", "GSM528007", "GSM528008", "GSM528009", "GSM528010", "GSM528011", "GSM528012", "GSM528013", "GSM528014", "GSM528015", "GSM528016", "GSM528017", "GSM528018", "GSM528019", "GSM528020", "GSM528021", "GSM528022", "GSM528023", "GSM528024", "GSM528025", "GSM528026", "GSM528027", "GSM528028", "GSM528029", "GSM528030", "GSM528031", "GSM528032", "GSM528033", "GSM528034", "GSM528035", "GSM528036", "GSM528037", "GSM528038", "GSM528039", "GSM528040", "GSM528041", "GSM528042", "GSM528043", "GSM528044", "GSM528045", "GSM528046", "GSM528047", "GSM528048", "GSM528049"], "sample_count": 370, "group_sizes": null, "group_sizes_basis": null, "platform": "5188;10264", "taxon": "Homo sapiens", "title": "Whole-transcript and exon-level expression data for human primary and metastatic prostate cancer samples and control normal adjacent benign prostate", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE116918 not downloaded", "asset:data:geo:GSE116918 licence not read", "asset:data:geo:GSE21034 not downloaded", "asset:data:geo:GSE21034 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": "Then, we performed univariate Cox regression and Lasso regression analysis, in which the best values of the penalty parameter were determined by 10-fold cross-validation (Figures 4(a) and 4(b))."}}, {"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"}}], "targets": [], "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": ["GSE116918", "GSE21034"], "resolved_accessions": ["GSE116918", "GSE21034"], "statements": ["All data generated or analyzed during this study are included in this article or are available from the corresponding author on reasonable request."], "basis": "The paper names GSE116918, GSE21034 in Gene Expression Omnibus (GEO) dataset 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:35516457", "data:geo:GSE116918"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE116918"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:44:54Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 15207, "completion_tokens": 1651, "cached_tokens": 128}}, "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:35516457", "type": "paper", "label": "pmid:35516457"}, {"id": "source:pmid:35516457", "type": "manuscript", "label": "PMID 35516457 full text"}, {"id": "data:geo:GSE116918", "type": "dataset", "label": "GEO GSE116918"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35516457", "type": "paper", "label": "pmid:35516457"}, {"id": "source:pmid:35516457", "type": "manuscript", "label": "PMID 35516457 full text"}, {"id": "data:geo:GSE116918", "type": "dataset", "label": "GEO GSE116918"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35516457", "type": "extraction", "used": ["source:pmid:35516457"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE116918", "type": "accession_resolution", "used": ["data:geo:GSE116918"], "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:35516457", "parent_hash": "sha256:96d5ff57874d00d79646ddc75260bc842135b1b147432acaf961f9b610ff3cbf", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE116918 licence not read", "asset:data:geo:GSE116918 not downloaded", "asset:data:geo:GSE21034 licence not read", "asset:data:geo:GSE21034 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"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": ["Then, we performed univariate Cox regression and Lasso regression analysis, in which the best values of the penalty parameter were determined by 10-fold cross-validation (Figures 4(a) and 4(b))."], "order_basis": "analysis_only", "id": "assay:1"}]}