Identification of a metabolic-immune signature associated with prognosis in colon cancer and exploration of potential predictive efficacy of immunotherapy response.

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prognosis of CC patients.\",\"target_result\":\"The main prognostic signature, MIRPS, was established based on six genes.\",\"number_stated\":true}", "reading": {"parent_value": 6, "unit": "genes", "evidence": "We established the Metabolism and Immune-Related Prognostic Score (MIRPS) based on six genes (CD36, PCOLCE2, SCG2, CALB2, STC2, CLDN23) to predict the prognosis of CC patients.", "target_result": "The main prognostic signature, MIRPS, was established based on six genes.", "number_stated": true, "source_locator": "chars 1623-1799 of source sha256 0bd8e933f1d09fadb938b328f1dd637d1d86ced9ab9eba6edcccf178795d401a"}, "recorded_at": "2026-10-31T15:21:44.088132+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "6c97d9098b9693d1c6617037b4272bf47b8fff2b17521ebc0ed6f31a0818b706", "source_hash": "0bd8e933f1d09fadb938b328f1dd637d1d86ced9ab9eba6edcccf178795d401a", "raw_response": "<think>We need answer JSON only. Need infer registered target headline numerical result paper states main finding. Source abstract has training cohort 417, validation 232, six genes, thresholds etc. Asked single numerical result replication registered target has reproduce, headline number only value paper itself states for registered target. Need determine perhaps headline numerical result is number of genes in MIRPS signature: six genes? They explicitly say \"based on six genes (CD36...)\" Main finding signature based on six genes. Numerical result likely \"6 genes\". Evidence exact contiguous quote containing number and target linkage, whole clause. Unit printed? \"genes\". Need report headline number only perhaps value 6, unit \"genes\". Evidence exact quote. Could also be cohort 417/232 but target is headline numerical result for main finding. Main finding MIRPS based on six genes. They emphasize single numerical result. likely six.\n\nNeed ensure evidence exact quote. \"We established the Metabolism and Immune-Related Prognostic Score (MIRPS) based on six genes (CD36, PCOLCE2, SCG2, CALB2, STC2, CLDN23) to predict the prognosis of CC patients.\" This exact contiguous sentence. Parent_value must number; 6. Unit paper prints \"genes\". target_result perhaps \"MIRPS was established based on six genes.\" number_stated true.\n\nBut perhaps headline result expected \"six\" converted to numeric 6? They ask value paper states, numerical result. Parent_value number. Paper prints word six, not digit. Unit \"genes\". Evidence contains number as word. Fine.\n\nCould target be cohort sample size? \"The training cohort with 417 patients ... validation cohort of 232\" not headline numerical result. The main finding is MIRPS and signature based on six genes. Need quote clause perhaps whole sentence as attribution. JSON valid.</think>\n\n{\"parent_value\":6,\"unit\":\"genes\",\"evidence\":\"We established the Metabolism and Immune-Related Prognostic Score (MIRPS) based on six genes (CD36, PCOLCE2, SCG2, CALB2, STC2, CLDN23) to predict the prognosis of CC patients.\",\"target_result\":\"The MIRPS signature was established based on six genes.\",\"number_stated\":true}", "reading": {"parent_value": 6, "unit": "genes", "evidence": "We established the Metabolism and Immune-Related Prognostic Score (MIRPS) based on six genes (CD36, PCOLCE2, SCG2, CALB2, STC2, CLDN23) to predict the prognosis of CC patients.", "target_result": "The MIRPS signature was established based on six genes.", "number_stated": true, "source_locator": "chars 1623-1799 of source sha256 0bd8e933f1d09fadb938b328f1dd637d1d86ced9ab9eba6edcccf178795d401a"}, "recorded_at": "2026-10-31T15:21:41.717010+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "MIRPS, a prognostic signature based on six genes (CD36, PCOLCE2, SCG2, CALB2, STC2, CLDN23), was established for predicting prognosis in colon cancer patients.", "minimax_alt": "We established the Metabolism and Immune-Related Prognostic Score (MIRPS) based on six genes (CD36, PCOLCE2, SCG2, CALB2, STC2, CLDN23) to predict the prognosis of CC patients.", "decisive": false}, "physical_methods": {"minimax": ["Immunohistochemical staining"], "minimax_alt": ["Immunohistochemical staining of clinical samples to assess gene expression levels"], "decisive": false}, "analysis_methods": {"minimax": ["Differential gene expression analysis", "Least absolute shrinkage and selection operator (LASSO) Cox algorithm", "Gene ontology (GO) analysis", "Gene set enrichment analysis (GSEA)", "Single-sample gene set enrichment analysis (ssGSEA)", "Single nucleotide variation (SNV) analysis", "Immune infiltration analysis", "Immune factors analysis", "Correlation analysis"], "minimax_alt": ["Differential gene expression analysis", "Least absolute shrinkage and selection operator (LASSO) Cox algorithm", "Gene ontology (GO) analysis", "Gene set enrichment analysis (GSEA)", "Single-sample GSEA (ssGSEA) using the R package 'GSVA'", "Single nucleotide variation (SNV) analysis", "Immune infiltration analysis", "Immune factors analysis", "Single-cell sequencing analysis", "Correlation 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; 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