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pmid:34207401

Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival.

Nicholas Brian Shannon · Qiu Xuan Tan · Joey Wee-Shan Tan · Josephine Hendrikson · Wai Har Ng · Gillian Ng · Ying Liu · Grace Hwei Ching Tan · Jolene Si Min Wong · Khee Chee Soo · Melissa Ching Ching Teo · Claramae Shulyn Chia · Chin-Ann Johnny Ong

Cancers · 2021 doi:10.3390/cancers13123049

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34207401
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2026-11-01T15:41:41Z
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2026-11-01T21:25:39Z
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title
Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival.
doi
10.3390/cancers13123049
pmid
34207401
authors array · 13 items
[0]
Nicholas Brian Shannon
[1]
Qiu Xuan Tan
[2]
Joey Wee-Shan Tan
[3]
Josephine Hendrikson
[4]
Wai Har Ng
[5]
Gillian Ng
[6]
Ying Liu
[7]
Grace Hwei Ching Tan
[8]
Jolene Si Min Wong
[9]
Khee Chee Soo
[10]
Melissa Ching Ching Teo
[11]
Claramae Shulyn Chia
[12]
Chin-Ann Johnny Ong
journal
Cancers
year
2021
abstract
Up to 10% of well-differentiated liposarcoma (WDLS) progress to dedifferentiated liposarcoma (DDLS). We aimed to identify gene expression changes associated with dedifferentiation and whether these were informative of tumour biology of DDLS. We analysed datasets from the Gene Expression Omnibus (GEO, ID = GSE30929) database to identify differentially expressed genes between WDLS (n = 52) and DDLS (n = 39). We validated the signature on whole and laser-capture microdissected samples from patients with tumours consisting of mixed WDLS and DDLS components. A subset of this signature was applied to an independent dataset from The Cancer Genome Atlas (TCGA, n = 58 DDLS) database to segregate samples based on gene expression and compared for recurrence and overall survival (OS). A 15-gene signature consisting of genes with increased expression in DDLS compared to WDLS was generated. This signature segregated WDLS and DDLS samples from patients with mixed component tumours and across multiple recurrences. A further subset of this signature, consisting of five genes (AQP7, ACACB, FZD4, GPD1, LEP), segregated DDLS in a TCGA cohort with a significant difference in OS (p = 0.019) and recurrence-free survival (RFS) (p = 0.061). The five-gene model stratified DDLS into prognostic groups and outperformed clinical factors in existing models in retroperitoneal DDLS.
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Homo sapiens
title
Whole-transcript expression data for liposarcoma
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Transcriptomics datasets analysed as part of the study.
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Multivariate comparison of model prediction and clinical factors. W = width, L = length, R2 = gross positive margin, R1 = microscopically positive margin, R0 = negative margin.
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Multivariate comparison of model prediction and clinical factors. W = width, L = length, R2 = gross positive margin, R1 = microscopically positive margin, R0 = negative margin.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34207401", "kind": "science-record", "revision": 6, "content_hash": "sha256:cc99cef24498c9b8055790c66690d703ad4bb3dc764014678ddbad3cfe3e4258", "created_at": "2026-11-01T15:41:41Z", "updated_at": "2026-11-01T21:25:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival.", "doi": "10.3390/cancers13123049", "pmid": "34207401", "authors": ["Nicholas Brian Shannon", "Qiu Xuan Tan", "Joey Wee-Shan Tan", "Josephine Hendrikson", "Wai Har Ng", "Gillian Ng", "Ying Liu", "Grace Hwei Ching Tan", "Jolene Si Min Wong", "Khee Chee Soo", "Melissa Ching Ching Teo", "Claramae Shulyn Chia", "Chin-Ann Johnny Ong"], "journal": "Cancers", "year": 2021, "abstract": "Up to 10% of well-differentiated liposarcoma (WDLS) progress to dedifferentiated liposarcoma (DDLS). We aimed to identify gene expression changes associated with dedifferentiation and whether these were informative of tumour biology of DDLS. We analysed datasets from the Gene Expression Omnibus (GEO, ID = GSE30929) database to identify differentially expressed genes between WDLS (n = 52) and DDLS (n = 39). We validated the signature on whole and laser-capture microdissected samples from patients with tumours consisting of mixed WDLS and DDLS components. A subset of this signature was applied to an independent dataset from The Cancer Genome Atlas (TCGA, n = 58 DDLS) database to segregate samples based on gene expression and compared for recurrence and overall survival (OS). A 15-gene signature consisting of genes with increased expression in DDLS compared to WDLS was generated. This signature segregated WDLS and DDLS samples from patients with mixed component tumours and across multiple recurrences. A further subset of this signature, consisting of five genes (AQP7, ACACB, FZD4, GPD1, LEP), segregated DDLS in a TCGA cohort with a significant difference in OS (p = 0.019) and recurrence-free survival (RFS) (p = 0.061). The five-gene model stratified DDLS into prognostic groups and outperformed clinical factors in existing models in retroperitoneal DDLS.", "claims": [{"id": "claim-method", "statement": "Univariate analysis was performed utilising Fisher’s exact test and multivariate analysis of significant factors was performed using a factorial logistic regression model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34207401", "locator": "sections[5] \"2.3. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE30929"], "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:GSE30929"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34207401", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/cancers13123049", "sha256": "sha256:b5bc26631fc9b8da6c0546225224f4ab12563fc3a3b9fbb9bfeda76de39a3e59", "bytes": 28561, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/cancers13123049", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8235385", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE30929", "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=GSE30929", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE30929", "version": null, "note": "The data that support the findings of this study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data that support the findings of this study are available from the corresponding author upon reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM766533", "GSM766534", "GSM766535", "GSM766536", "GSM766537", "GSM766538", "GSM766539", "GSM766540", "GSM766541", "GSM766542", "GSM766543", "GSM766544", "GSM766545", "GSM766546", "GSM766547", "GSM766548", "GSM766549", "GSM766550", "GSM766551", "GSM766552", "GSM766553", "GSM766554", "GSM766555", "GSM766556", "GSM766557", "GSM766558", "GSM766559", "GSM766560", "GSM766561", "GSM766562", "GSM766563", "GSM766564", "GSM766565", "GSM766566", "GSM766567", "GSM766568", "GSM766569", "GSM766570", "GSM766571", "GSM766572", "GSM766573", "GSM766574", "GSM766575", "GSM766576", "GSM766577", "GSM766578", "GSM766579", "GSM766580", "GSM766581", "GSM766582", "GSM766583", "GSM766584", "GSM766585", "GSM766586", "GSM766587", "GSM766588", "GSM766589", "GSM766590", "GSM766591", "GSM766592", "GSM766593", "GSM766594", "GSM766595", "GSM766596", "GSM766597", "GSM766598", "GSM766599", "GSM766600", "GSM766601", "GSM766602", "GSM766603", "GSM766604", "GSM766605", "GSM766606", "GSM766607", "GSM766608", "GSM766609", "GSM766610", "GSM766611", "GSM766612", "GSM766613", "GSM766614", "GSM766615", "GSM766616", "GSM766617", "GSM766618", "GSM766619", "GSM766620", "GSM766621", "GSM766622", "GSM766623", "GSM766624", "GSM766625", "GSM766626", "GSM766627", "GSM766628", "GSM766629", "GSM766630", "GSM766631", "GSM766632", "GSM766633", "GSM766634", "GSM766635", "GSM766636", "GSM766637", "GSM766638", "GSM766639", "GSM766640", "GSM766641", "GSM766642", "GSM766643", "GSM766644", "GSM766645", "GSM766646", "GSM766647", "GSM766648", "GSM766649", "GSM766650", "GSM766651", "GSM766652", "GSM766653", "GSM766654", "GSM766655", "GSM766656", "GSM766657", "GSM766658", "GSM766659", "GSM766660", "GSM766661", "GSM766662", "GSM766663", "GSM766664", "GSM766665", "GSM766666", "GSM766667", "GSM766668", "GSM766669", "GSM766670", "GSM766671", "GSM766672"], "sample_count": 140, "group_sizes": null, "group_sizes_basis": null, "platform": "96", "taxon": "Homo sapiens", "title": "Whole-transcript expression data for liposarcoma", "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:34207401:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d02c0b32214599d09f3cc8e6c1a0caeb23f4ff17f139dcc5955b6e1dda1aee5d", "bytes": 468, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[1]#cancers-13-03049-t001", "version": null, "note": "Transcriptomics datasets analysed as part of the study.", "structure": {"pmcid": "PMC8235385", "section_index": 3, "section_title": "2.1. External Datasets", "row_count": 3, "column_count": 4}, "table": {"label": "Table 1", "caption": "Transcriptomics datasets analysed as part of the study.", "rows": [["ID", "First Author", "Published", "Samples; of Which Liposarcoma"], ["GSE30929", "Gobble", "Cancer Res 2011 [9]", "140; WDLS (n = 52), DDLS (n = 30), MLS (n = 17), RCLS (n = 12), PLS (n = 20)"], ["TCGA-SARC", "CGARN", "Cell 2017 [3]", "259; DDLS (n = 58)"]], "row_count": 3, "column_count": 4, "numeric_cells": 5, "header_rows": 1, "locator": "section[3]/table-wrap[1]#cancers-13-03049-t001"}}, {"id": "asset:table:pmid:34207401:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d531d79d9d88a4619825ad44e8fd8517c7fba608ee89c065efad9b57c3337741", "bytes": 773, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#cancers-13-03049-t002", "version": null, "note": "Multivariate comparison of model prediction and clinical factors. W = width, L = length, R2 = gross positive margin, R1 = microscopically positive margin, R0 = negative margin.", "structure": {"pmcid": "PMC8235385", "section_index": 10, "section_title": "3.4. Comparison to Clinical Information", "row_count": 8, "column_count": 5}, "table": {"label": "Table 2", "caption": "Multivariate comparison of model prediction and clinical factors. W = width, L = length, R2 = gross positive margin, R1 = microscopically positive margin, R0 = negative margin.", "rows": [["Factors", "Univariate", "Multivariate"], ["p-Value", "OR", "p-Value", "OR"], ["Size (W × L ≥ 460 cm2)", "0.019", "15.4", "0.087", "1.33"], ["Margin status (R1/R2 vs. R0)", "0.183", "5.7", "-", "-"], ["Margin status (R2 vs. R1/R0)", "0.056", "NA", "0.034", "2.1"], ["Age (≥61 years)", "0.711", "1.6", "-", "-"], ["Recurrence (recurrence vs. primary)", "1.000", "NA", "-", "-"], ["Model prediction (poor vs. good prognosis)", "<0.010", "15.75", "<0.01", "2.0"]], "row_count": 8, "column_count": 5, "numeric_cells": 18, "header_rows": 2, "locator": "section[10]/table-wrap[1]#cancers-13-03049-t002"}}], "gaps": ["asset:data:geo:GSE30929 not downloaded", "asset:data:geo:GSE30929 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "regression_modelling", "specific": "logistic", "label": "Regression modelling", "dsl_operations": ["glm_logit_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Univariate analysis was performed utilising Fisher’s exact test and multivariate analysis of significant factors was performed using a factorial logistic regression model."}}], "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": ["glm_logit_fit"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: logistic."}, "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": ["GSE30929"], "resolved_accessions": ["GSE30929"], "statements": ["The data that support the findings of this study are available from the corresponding author upon reasonable request."], "basis": "The paper names GSE30929 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": ["glm_logit_fit"], "assets": ["source:pmid:34207401", "data:geo:GSE30929", "asset:table:pmid:34207401:1", "asset:table:pmid:34207401:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE30929"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:31:47Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 23344, "completion_tokens": 1761, "cached_tokens": 784}}, "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:34207401", "type": "paper", "label": "pmid:34207401"}, {"id": "source:pmid:34207401", "type": "manuscript", "label": "PMID 34207401 full text"}, {"id": "data:geo:GSE30929", "type": "dataset", "label": "GEO GSE30929"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34207401", "type": "paper", "label": "pmid:34207401"}, {"id": "source:pmid:34207401", "type": "manuscript", "label": "PMID 34207401 full text"}, {"id": "data:geo:GSE30929", "type": "dataset", "label": "GEO GSE30929"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34207401", "type": "extraction", "used": ["source:pmid:34207401"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE30929", "type": "accession_resolution", "used": ["data:geo:GSE30929"], "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:34207401", "parent_hash": "sha256:8afb404f35b618545abc2503f1c3aa015639cbc58c67d7b3aeac0711273369c1", "fork_of": null, "generation": 5}, "gaps": ["asset:data:geo:GSE30929 licence not read", "asset:data:geo:GSE30929 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Hilden, Germany) and amplified cDNA from the Affymetrix WT Pico Reagent Kit was profiled on Affymetr", "fymetrix WT Pico Reagent Kit was profiled on Affymetrix GeneChip® Human Gene 2.0 ST arrays (cat no."], "order_basis": "paper_text_order:3680", "id": "assay:1"}, {"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["glm_logit_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate analysis was performed utilising Fisher’s exact test and multivariate analysis of significant factors was performed using a factorial logistic regression model."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}