← All .science files
pmid:33153411
CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer.
Xiaoguang Qi · Chunyan Qi · Tao Wu · Yi Hu
Technology in cancer research & treatment · 2020 doi:10.1177/1533033820970663
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 · 2 items
[0] object · 6 fields
[1] object · 6 fields
evidence array · 1 item
[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 · 4 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 16 items
[2] object · 16 fields
structure object · 5 fields
[3] object · 16 fields
structure object · 5 fields
gaps array · 2 items
analysis object · 4 fields
methods array · 4 items
[0] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 3 items
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 · 6 items
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 · 3 items
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 · 3 items
assets array · 4 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 · 1 item
[0] object · 11 fields
required_operations array · 3 items
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:33153411", "kind": "science-record", "revision": 9, "content_hash": "sha256:b0c99e546eda19a82799d9563af68aeaa8678928c9727a0cd593bbb72697cd01", "created_at": "2026-11-01T15:41:15Z", "updated_at": "2026-11-01T22:45:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer.", "doi": "10.1177/1533033820970663", "pmid": "33153411", "authors": ["Xiaoguang Qi", "Chunyan Qi", "Tao Wu", "Yi Hu"], "journal": "Technology in cancer research & treatment", "year": 2020, "abstract": "OBJECTIVE: Precision immunotherapy in non-small cell lung cancer (NSCLC) have been the focus of tumor immunity research. The aim of this study is to identify novel candidate biomarkers predicting the response to immunotherapy in NSCLC.\nMETHODS: GSE126044 was obtained from Gene Expression Omnibus (GEO). According to the response to anti-PD-1 antibody, 2 groups were divided: response group and non-response group. Differentially expressed genes (DEGs) were screened using R. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. ROC curves and possible pathways of the seed genes were further analyzed.\nRESULTS: In total, 588 DEGs (487 upregulated DEGs and 101 downregulated) were identified. GO and KEGG analyses showed that upregulated DEGs were mainly enriched in immune response and cell adhesion pathways, while VEGF signaling pathway and metabolic pathways were mainly enriched in downregulated DEGs. In addition, CSF1 R and HCST showed more powerful predictive ability than PDL1. More importantly, these candidate genes were not only positively correlated with the expression of PDL1 and the infiltration of CD8+ T cells in the immune microenvironment, but also might improve the prognosis in lung squamous cell carcinoma.\nCONCLUSIONS: CSF1 R and HCST might be novel predictive markers for immunotherapy in NSCLC.", "claims": [{"id": "claim-method", "statement": "The screening of DEGs and the generation of volcano plots were performed using the limma package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33153411", "locator": "sections[4] \"Screening of Differentially Expressed Genes (DEGs)\" paragraph 2", "quote": "The screening of DEGs and the generation of volcano plots were performed using the limma package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE126044, GSE110390 and GSE136961 were obtained from the GEO database by searching for the keywords checkpoint inhibitor or immunotherapy or PD-1 and lung cancer. Only high-throughput sequencing expression profiles (GSE126044) obtained for humans were downloaded.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33153411", "locator": "sections[3] \"Gene Expression Profile Data\" paragraph 2", "quote": "GSE126044, GSE110390 and GSE136961 were obtained from the GEO database by searching for the keywords checkpoint inhibitor or immunotherapy or PD-1 and lung cancer. Only high-throughput sequencing expression profiles (GSE126044) obtained for humans were downloaded."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33153411"], "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:GSE126044"], "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:GSE126044"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33153411", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1177/1533033820970663", "sha256": "sha256:05ad77959e37d60b0add901460dc32758d1c1195ea6b07c68f43e8a59b8fc588", "bytes": 24678, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1177/1533033820970663", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7658512", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE126044", "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=GSE126044", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE126044", "version": null, "note": "GSE126044, GSE110390 and GSE136961 were obtained from the GEO database by searching for the keywords checkpoint inhibitor or immunotherapy or PD-1 and lung cancer. Only high-throughput sequencing expression profiles (GSE126044) obtained for humans were downloaded.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "GSE126044, GSE110390 and GSE136961 were obtained from the GEO database by searching for the keywords checkpoint inhibitor or immunotherapy or PD-1 and lung cancer. Only high-throughput sequencing expression profiles (GSE126044) obtained for humans were downloaded.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM3589673", "GSM3589674", "GSM3589675", "GSM3589676", "GSM3589677", "GSM3589678", "GSM3589679", "GSM3589680", "GSM3589681", "GSM3589682", "GSM3589683", "GSM3589684", "GSM3589685", "GSM3589686", "GSM3589687", "GSM3589688"], "sample_count": 16, "group_sizes": null, "group_sizes_basis": null, "platform": "16791", "taxon": "Homo sapiens", "title": "Genome-wide identification of differentially methylated promoters and enhancers associated with response to anti-PD-1 therapy in non-small cell lung cancer", "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:33153411:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:cd7e8221b36f67a1e494c58ec7425a8b87d8f95b4d2ee8dd0b1d695b59466ed1", "bytes": 203, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#table1-1533033820970663", "version": null, "note": "Top 5 GO Terms and KEGG Pathways.", "structure": {"pmcid": "PMC7658512", "section_index": 13, "section_title": "GO Terms and KEGG Pathway Enrichment Analysis of DEGs", "row_count": 0, "column_count": 0}, "table": {"label": "Table 1.", "caption": "Top 5 GO Terms and KEGG Pathways.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[13]/table-wrap[1]#table1-1533033820970663"}}, {"id": "asset:table:pmid:33153411:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:dc761000595deb9f7587545537951c4809ea3e930e079dabaa39f25789e1f352", "bytes": 202, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[14]/table-wrap[1]#table2-1533033820970663", "version": null, "note": "Seed Genes Involved in Pathways.", "structure": {"pmcid": "PMC7658512", "section_index": 14, "section_title": "Screening Models and Seed Genes in the PPI Network", "row_count": 0, "column_count": 0}, "table": {"label": "Table 2.", "caption": "Seed Genes Involved in Pathways.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[14]/table-wrap[1]#table2-1533033820970663"}}], "gaps": ["asset:data:geo:GSE126044 not downloaded", "asset:data:geo:GSE126044 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The screening of DEGs and the generation of volcano plots were performed using the limma package."}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "PPI"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "Pathway Enrichment"}}, {"id": "method-4", "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": 0.8, "band": "high", "quote": "ROC Analysis"}}], "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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "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": ["GSE126044"], "resolved_accessions": ["GSE126044"], "statements": ["GSE126044, GSE110390 and GSE136961 were obtained from the GEO database by searching for the keywords checkpoint inhibitor or immunotherapy or PD-1 and lung cancer. Only high-throughput sequencing expression profiles (GSE126044) obtained for humans were downloaded."], "basis": "The paper names GSE126044 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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:33153411", "data:geo:GSE126044", "asset:table:pmid:33153411:1", "asset:table:pmid:33153411:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE126044"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:23:58Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 18784, "completion_tokens": 1065, "cached_tokens": 768}}, "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:33153411", "type": "paper", "label": "pmid:33153411"}, {"id": "source:pmid:33153411", "type": "manuscript", "label": "PMID 33153411 full text"}, {"id": "data:geo:GSE126044", "type": "dataset", "label": "GEO GSE126044"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33153411", "type": "paper", "label": "pmid:33153411"}, {"id": "source:pmid:33153411", "type": "manuscript", "label": "PMID 33153411 full text"}, {"id": "data:geo:GSE126044", "type": "dataset", "label": "GEO GSE126044"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33153411", "type": "extraction", "used": ["source:pmid:33153411"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE126044", "type": "accession_resolution", "used": ["data:geo:GSE126044"], "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:33153411", "parent_hash": "sha256:4ce49de62be8bd86ac30c96a7d59313bb3a7fab4b46c8d6a4052f47c41ecd563", "fork_of": null, "generation": 8}, "gaps": ["asset:data:geo:GSE126044 licence not read", "asset:data:geo:GSE126044 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The screening of DEGs and the generation of volcano plots were performed using the limma package."], "order_basis": "analysis_only", "id": "assay:1"}]}