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pmid:40026531

Decoding Osteosarcoma's Lactylation Gene Expression: Insights Into Prognosis, Immune Dynamics, and Treatment.

Analytical cellular pathology (Amsterdam) · 2025 doi:10.1155/ancp/6517238

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

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:40026531
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title
Decoding Osteosarcoma's Lactylation Gene Expression: Insights Into Prognosis, Immune Dynamics, and Treatment.
doi
10.1155/ancp/6517238
pmid
40026531
authors
null
journal
Analytical cellular pathology (Amsterdam)
year
2025
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null
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the headline numerical result the paper states for its main finding
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null
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The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.
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the headline numerical result the paper states for its main finding
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The number a replication must land on, and the sentence it came from.
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the published estimate, its unit and its interval
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the source data with its provenance
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no owned computational capability is bound to this experiment
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The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.
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<think>We need answer JSON object only. Need identify single numerical result replication registered target headline number paper states for main finding. Source abstract: "research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters..." likely headline numerical result = 36 significant lactylation-related genes. Need unit printed likely "genes". Evidence exact contiguous quote containing number and attribution. Could quote sentence: "The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics." parent_value 36, unit perhaps "significant lactylation-related genes" or "genes". They request unit unit paper prints. Number's unit likely genes. target_result textual perhaps "36 significant lactylation-related genes in OS". Evidence exact. number_stated true. Need be cautious "single numerical result ... registered target" maybe ask headline numerical result for main finding. Clearly 36. We must not choose 35% vs 21%. Abstract's main result says 36. Output valid JSON no markdown.</think> {"parent_value":36,"unit":"genes","evidence":"The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.","target_result":"The study revealed 36 significant lactylation-related genes in OS.","number_stated":true}
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The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.
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The study revealed 36 significant lactylation-related genes in OS.
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chars 1147-1307 of source sha256 4a23a4cab9c694163fa9e9d7e3b42e52ceb54ee7259274335f72eb489d56a7fa
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36 significant lactylation-related genes in OS, categorized into two clusters with distinct survival and biological characteristics.
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The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.
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KEGG pathway enrichment analysis
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single-sample Gene Set Enrichment Analysis (ssGSEA)
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Estimation of Stromal and Immune cells in Malignant Tumors (ESTIMATE)
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Differential-expression selection using LogFC greater than 0.5 and p-value less than 0.05
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one-way analysis of variance
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Kruskal–Wallis test
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Spearman correlation analysis
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Kaplan–Meier method
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log-rank (Mantel–Cox) test
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"raw_response_chars": 6244}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "c2eede2d24c58f200dac013a17ba85eba7bdfcc116639a7fd3fbb3bd74cbd58b", "source_hash": "4a23a4cab9c694163fa9e9d7e3b42e52ceb54ee7259274335f72eb489d56a7fa", "raw_response_sha256": "sha256:1de30fc4a35d12d2e7305ef2d5447ac68a6e6738d302071a6b981408dbd2e80f", "raw_response_chars": 73302}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "c2e1e0ae32c77da66cd919f3ffeb3fab7db445a09209ddfa98ebbf41a2660033", "source_hash": "4a23a4cab9c694163fa9e9d7e3b42e52ceb54ee7259274335f72eb489d56a7fa", "raw_response": "{\"parent_value\":36,\"unit\":\"genes\",\"evidence\":\"The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.\",\"target_result\":\"36 significant lactylation-related genes\",\"number_stated\":true}", "reading": {"parent_value": 36, "unit": "genes", "evidence": "The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.", "target_result": "36 significant lactylation-related genes", "number_stated": true, "source_locator": "chars 1147-1307 of source sha256 4a23a4cab9c694163fa9e9d7e3b42e52ceb54ee7259274335f72eb489d56a7fa"}, "recorded_at": "2026-10-31T15:32:39.461360+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "3d196b49561de6e0292491a6efa73f4a3c21d314c50074baef22f8ae843b820c", "source_hash": "4a23a4cab9c694163fa9e9d7e3b42e52ceb54ee7259274335f72eb489d56a7fa", "raw_response": "<think>We need answer JSON object only. Need identify single numerical result replication registered target headline number paper states for main finding. Source abstract: \"research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters...\" likely headline numerical result = 36 significant lactylation-related genes. Need unit printed likely \"genes\". Evidence exact contiguous quote containing number and attribution. Could quote sentence: \"The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.\" parent_value 36, unit perhaps \"significant lactylation-related genes\" or \"genes\". They request unit unit paper prints. Number's unit likely genes. target_result textual perhaps \"36 significant lactylation-related genes in OS\". Evidence exact. number_stated true.\n\nNeed be cautious \"single numerical result ... registered target\" maybe ask headline numerical result for main finding. Clearly 36. We must not choose 35% vs 21%. Abstract's main result says 36. Output valid JSON no markdown.</think>\n\n{\"parent_value\":36,\"unit\":\"genes\",\"evidence\":\"The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.\",\"target_result\":\"The study revealed 36 significant lactylation-related genes in OS.\",\"number_stated\":true}", "reading": {"parent_value": 36, "unit": "genes", "evidence": "The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.", "target_result": "The study revealed 36 significant lactylation-related genes in OS.", "number_stated": true, "source_locator": "chars 1147-1307 of source sha256 4a23a4cab9c694163fa9e9d7e3b42e52ceb54ee7259274335f72eb489d56a7fa"}, "recorded_at": "2026-10-31T15:32:38.305801+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "36 significant lactylation-related genes in OS, categorized into two clusters with distinct survival and biological characteristics.", "minimax_alt": "The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics.", "decisive": false}, "analysis_methods": {"minimax": ["ConsensusClusterPlus unsupervised clustering", "pheatmap heatmap generation", "Gene Set Variation Analysis (GSVA)", "single-sample Gene Set Enrichment Analysis (ssGSEA)", "ESTIMATE", "one-way analysis of variance", "Kruskal–Wallis test", "Spearman correlation analysis", "Kaplan–Meier survival analysis", "log-rank (Mantel–Cox) test", "Gene Ontology enrichment analysis", "KEGG pathway enrichment analysis"], "minimax_alt": ["ConsensusClusterPlus unsupervised clustering", "pheatmap heatmap generation", "Gene Set Variation Analysis (GSVA)", "single-sample Gene Set Enrichment Analysis (ssGSEA)", "Estimation of Stromal and Immune cells in Malignant Tumors (ESTIMATE)", "Differential-expression selection using LogFC greater than 0.5 and p-value less than 0.05", "one-way analysis of variance", "Kruskal–Wallis test", "Spearman correlation analysis", "Kaplan–Meier method", "log-rank (Mantel–Cox) test"], "decisive": false}, "statistical_method": {"minimax": "ConsensusClusterPlus unsupervised clustering", "minimax_alt": "", "decisive": true}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "blocked", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.blocked"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:8c4387c688b53f52969fef92634c3cac58a08e93e99ce9a8a7044d7b8f1e59ed", "type": "sep_package", "label": "SEP v1 package for pmid:40026531"}], "activities": [{"id": "activity:conversion:pmid:40026531", "type": "conversion", "used": ["package:8c4387c688b53f52969fef92634c3cac58a08e93e99ce9a8a7044d7b8f1e59ed"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "90c26622-db07-470c-bbc3-93ea52ef9517", "parent_hash": "8c4387c688b53f52969fef92634c3cac58a08e93e99ce9a8a7044d7b8f1e59ed", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:40026531 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.blocked", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:40026531' does not resolve to a declared asset", "targets"]}