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pmid:40874213

The Predictive Significance of Interleukin-2 Receptor in Patients with Hepatocellular Carcinoma.

Journal of hepatocellular carcinoma · 2025 doi:10.2147/jhc.s536877

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

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
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pmid:40874213
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science-record
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2026-11-01T10:25:52Z
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corpus-assay-engine
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sep_to_sci_v1
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paper object · 10 fields
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partial
title
The Predictive Significance of Interleukin-2 Receptor in Patients with Hepatocellular Carcinoma.
doi
10.2147/jhc.s536877
pmid
40874213
authors
null
journal
Journal of hepatocellular carcinoma
year
2025
abstract
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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abstract
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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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[0]
source:pmid:40874213
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[0]
the published estimate, its unit and its interval
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The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
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[0]
the source data with its provenance
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Run the analysis programme
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no owned computational capability is bound to this experiment
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Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:40874213
parameters object · 0 fields
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the registered result
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xml
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application/xml
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identifier
10.2147/jhc.s536877
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null
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Source read by the package builder: full_text.
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full_text
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asset:table:pmid:40874213:1
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The Immunologic Detection in Peripheral Blood of Patients with HCC
structure object · 5 fields
pmcid
PMC12379987
section_index
14
section_title
IL-2Rα Regulated the Immune Function of HCC
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9
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3
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label
Table 1
caption
The Immunologic Detection in Peripheral Blood of Patients with HCC
rows array · 9 items
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[0]
Variables (N=28)
[1]
[2]
Reference Values
[1] array · 3 items
[0]
sIL-2Rα (pg/mL)
[1]
1987.04 ± 1081.20***
[2]
<850
[2] array · 3 items
[0]
TSGF (U/mL)
[1]
68.91 ± 6.35*
[2]
<66
[3] array · 3 items
[0]
B cells (%)
[1]
9.21 ± 5.28
[2]
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[0]
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67.81 ± 10.14
[2]
[5] array · 3 items
[0]
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38.66 ± 10.93
[2]
[6] array · 3 items
[0]
CD8+ T cells (%)
[1]
27.19 ± 12.44
[2]
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[0]
NK cells (%)
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18.35 ± 10.27
[2]
[8] array · 3 items
[0]
Tregs (%)
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7.22 ± 2.76
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section[14]/table-wrap[1]#t0001
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[0]
asset:source:pmid:40874213 not verified
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targets
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capability
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asset:table:pmid:40874213:1
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read_published_estimate
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xml
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source:pmid:40874213
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corpus_record_absent
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minimax
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{"parent_value":0,"unit":"","evidence":"","target_result":"The text states that a prognostic risk model was established using IL-2Rα, IL-2Rβ, and IL-2Rγ expression, with elevated immune-cell infiltration and immune-checkpoint levels in the high-risk group, and that sIL-2Rα levels were positively correlated with TSGF and Tregs; it does not state a headline numerical result for the main finding.","number_stated":false}
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The text states that a prognostic risk model was established using IL-2Rα, IL-2Rβ, and IL-2Rγ expression, with elevated immune-cell infiltration and immune-checkpoint levels in the high-risk group, and that sIL-2Rα levels were positively correlated with TSGF and Tregs; it does not state a headline numerical result for the main finding.
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raw_response
<think>We need answer JSON only. Need inspect source. Registered target headline numerical result paper states for main finding. Supplied source appears abstract/results/conclusion no numerical headline result. There are numbers in methods: three subunits, P&lt;0.05, citation numbers, database names. But no headline numerical result for main finding. Need set number_stated false, parent 0, unit/evidence empty, target_result say text states no numerical result, only qualitative prognostic risk model etc. Need exact JSON valid. Perhaps target_result concise. Ensure no source invented. Could mention qualitative findings. Schema.</think> {"parent_value":0,"unit":"","evidence":"","target_result":"The text states qualitative findings only: it reports a prognostic risk model based on IL-2Rα, IL-2Rβ, and IL-2Rγ expression, elevated immune infiltration and checkpoint levels in the high-risk group, and positive correlations between sIL-2Rα levels, TSGF, and Tregs. It states no numerical result for the main finding.","number_stated":false}
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The text states qualitative findings only: it reports a prognostic risk model based on IL-2Rα, IL-2Rβ, and IL-2Rγ expression, elevated immune infiltration and checkpoint levels in the high-risk group, and positive correlations between sIL-2Rα levels, TSGF, and Tregs. It states no numerical result for the main finding.
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CIBERSORT algorithm
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Complete file
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"c13718a6f8e4c64235d1dbc5283ecad5c1c6fae6fc709ee0dd33979456ac1ddd", "source_hash": "e7cf6eaff40698dad67592b5ff0e8c8c00739982aebb5ffe508a053482b6c16b", "raw_response_sha256": "sha256:db632d62b988efa5cd7bb3a557112bc3a5ffaa8eb5baf7741605cf0cff369beb", "raw_response_chars": 28550}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "256ae05e219b90f5ea7a98cd865ce4bd906198096f2982b314037ddecdec58a4", "source_hash": "e7cf6eaff40698dad67592b5ff0e8c8c00739982aebb5ffe508a053482b6c16b", "raw_response": "{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The text states that a prognostic risk model was established using IL-2Rα, IL-2Rβ, and IL-2Rγ expression, with elevated immune-cell infiltration and immune-checkpoint levels in the high-risk group, and that sIL-2Rα levels were positively correlated with TSGF and Tregs; it does not state a headline numerical result for the main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The text states that a prognostic risk model was established using IL-2Rα, IL-2Rβ, and IL-2Rγ expression, with elevated immune-cell infiltration and immune-checkpoint levels in the high-risk group, and that sIL-2Rα levels were positively correlated with TSGF and Tregs; it does not state a headline numerical result for the main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:32:40.106912+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "e433edf52c508b265cc2a2072e10b6ebbb93ebd61028f7fdea2fbd1fe5da685f", "source_hash": "e7cf6eaff40698dad67592b5ff0e8c8c00739982aebb5ffe508a053482b6c16b", "raw_response": "<think>We need answer JSON only. Need inspect source. Registered target headline numerical result paper states for main finding. Supplied source appears abstract/results/conclusion no numerical headline result. There are numbers in methods: three subunits, P&lt;0.05, citation numbers, database names. But no headline numerical result for main finding. Need set number_stated false, parent 0, unit/evidence empty, target_result say text states no numerical result, only qualitative prognostic risk model etc. Need exact JSON valid. Perhaps target_result concise. Ensure no source invented. Could mention qualitative findings. Schema.</think>\n\n{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The text states qualitative findings only: it reports a prognostic risk model based on IL-2Rα, IL-2Rβ, and IL-2Rγ expression, elevated immune infiltration and checkpoint levels in the high-risk group, and positive correlations between sIL-2Rα levels, TSGF, and Tregs. It states no numerical result for the main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The text states qualitative findings only: it reports a prognostic risk model based on IL-2Rα, IL-2Rβ, and IL-2Rγ expression, elevated immune infiltration and checkpoint levels in the high-risk group, and positive correlations between sIL-2Rα levels, TSGF, and Tregs. It states no numerical result for the main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:32:39.919305+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "unclear", "minimax_alt": "Unknown: the supplied text states no headline numerical result for the main finding.", "decisive": false}, "analysis_methods": {"minimax": ["Wilcoxon test", "Kaplan-Meier analysis", "log-rank analysis", "Univariate Cox regression analysis", "multivariate Cox regression analysis", "one-sample t-tests", "correlation analysis", "CIBERSORT algorithm", "Gene Ontology analysis", "KEGG analysis"], "minimax_alt": ["Wilcoxon test", "Cox regression analysis", "correlation analysis", "Kaplan-Meier analysis", "log-rank analysis", "one-sample t-tests", "CIBERSORT algorithm", "Gene Ontology analysis", "KEGG analysis"], "decisive": false}}, "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": "passed", "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.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:490c082807f43bb55c0b416269116a1e67e1edcf2956fd61f23a13aae4e0a8a3", "type": "sep_package", "label": "SEP v1 package for pmid:40874213"}], "activities": [{"id": "activity:conversion:pmid:40874213", "type": "conversion", "used": ["package:490c082807f43bb55c0b416269116a1e67e1edcf2956fd61f23a13aae4e0a8a3"], "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": "pmid:40874213", "parent_hash": "sha256:1c5437666d032c3cf651d6072b20c55a5ac3651a7e7aa11c5a1693261d795c43", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:40874213 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "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:40874213' does not resolve to a declared asset", "targets"]}