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pmid:32180907

MicroRNA-181a-3p as a Diagnostic and Prognostic Biomarker for Acute Myeloid Leukemia.

Ping Qiang · Qing Pan · Chao Fang · Claudio Fozza · Kaidi Song · Yuanyuan Dai · Wenjiao Chang · Wei Chen · Wan Yao · Weibo Zhu · Xin Liu · Xiaoling Ma

Mediterranean journal of hematology and infectious diseases · 2020 doi:10.4084/MJHID.2020.012

Paper

complete

Experiment

partial

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:32180907
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science-record
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sha256:5a528dc34917b9624ddd45a01d31ba0058a267eb4faec84c6b45bf226d7f0669
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2026-11-01T15:40:58Z
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title
MicroRNA-181a-3p as a Diagnostic and Prognostic Biomarker for Acute Myeloid Leukemia.
doi
10.4084/MJHID.2020.012
pmid
32180907
authors array · 12 items
[0]
Ping Qiang
[1]
Qing Pan
[2]
Chao Fang
[3]
Claudio Fozza
[4]
Kaidi Song
[5]
Yuanyuan Dai
[6]
Wenjiao Chang
[7]
Wei Chen
[8]
Wan Yao
[9]
Weibo Zhu
[10]
Xin Liu
[11]
Xiaoling Ma
journal
Mediterranean journal of hematology and infectious diseases
year
2020
abstract
BACKGROUND: Micro (mi) RNAs play an important role in the pathogenesis and development of acute myeloid leukemia (AML), and their abnormal expression may be sufficient to predict the prognosis and outcomes in AML patients. We evaluated the clinical diagnostic value of miRNA-181a-3p in predicting prognosis and outcomes in patients with AML. METHODS: A total of 119 newly diagnosed adult patients with AML and 60 healthy controls were recruited. Blood specimens were obtained from all AML patients at diagnosis, and 10 blood specimens were obtained on day 28 after induction chemotherapy. The controls also provided blood samples. Relative gene expression was quantified by PCR and determined using the comparative Ct method. Publicly available clinical data and gene expressions for 188 patients with AML were downloaded from TCGA data portal. RESULTS: Compared with healthy controls, the expression of miRNA-181a-3p was significantly increased in patients with AML. MiR-181a-3p expression could be used to discriminate AML patients from controls, with up-regulated expression correlating with favorable prognosis. Moreover, miRNA-181a-3p expression was significantly decreased in patients who achieved a complete response after induction chemotherapy. The multivariate Cox analysis highlighted the prognostic value of miR-181a-3p for patients with AML. Finally, we found that miR-181a-3p expression was negatively correlated with the expression of the NF-κB essential modulator (NEMO/IKBKG). CONCLUSIONS: MiR-181a-3p may be clinically useful as a disease marker for AML, and enhanced the prediction of patient outcomes to chemotherapy.
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Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients.
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Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients.
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Publicly available clinical, gene expression data for 188 patients with AML were downloaded from TCGA data portal.
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Clinical characteristics of AML patients at diagnosis.
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Patient clinical characteristics and treatment
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Clinical characteristics of AML patients at diagnosis.
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The AUC of miR-181a-3p in the samples of different subtypes. P-values calculated by Unpaired student’s t test. AUC = The Area Under Curve. 95% CI = 95% confidence interval.
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The clinical value of miRNA-181a-3p in the diagnosis of AML
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Multivariate Cox regression analysis of independent risk factors influencing OS and DFS. P-values calculated by Unpaired student’s t test. WBC = white blood cell. 95% CI = 95% confidence interval.
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Association of miR181a-3p expression with AML patient outcome
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The linear correlation analysis in AML samples. P-values calculated by Pearson’s Correlation. 95% CI = 95% confidence interval.
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Assessment of the relationship between miR-181a-3p ectopic expression and IKBKG and NF-κB family
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Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients.
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Corpus assay engine
[1] object · 3 fields
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 object · 4 fields
parent_id
pmid:32180907
parent_hash
sha256:f656bb9d31343da23268838afaaa570ca126fd74eef47d75bae8d925f92b7b26
fork_of
null
gaps array · 6 items
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execution.not_run
[1]
method.reader_differs_from_extractor
[2]
review.human_critique
[3]
review.independent_reader
[4]
review.machine_critique
[5]
step:obtain_source_data blocked on data:accession_absent
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
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cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32180907", "kind": "science-record", "revision": 7, "content_hash": "sha256:5a528dc34917b9624ddd45a01d31ba0058a267eb4faec84c6b45bf226d7f0669", "created_at": "2026-11-01T15:40:58Z", "updated_at": "2026-11-01T22:01:23Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "MicroRNA-181a-3p as a Diagnostic and Prognostic Biomarker for Acute Myeloid Leukemia.", "doi": "10.4084/MJHID.2020.012", "pmid": "32180907", "authors": ["Ping Qiang", "Qing Pan", "Chao Fang", "Claudio Fozza", "Kaidi Song", "Yuanyuan Dai", "Wenjiao Chang", "Wei Chen", "Wan Yao", "Weibo Zhu", "Xin Liu", "Xiaoling Ma"], "journal": "Mediterranean journal of hematology and infectious diseases", "year": 2020, "abstract": "BACKGROUND: Micro (mi) RNAs play an important role in the pathogenesis and development of acute myeloid leukemia (AML), and their abnormal expression may be sufficient to predict the prognosis and outcomes in AML patients. We evaluated the clinical diagnostic value of miRNA-181a-3p in predicting prognosis and outcomes in patients with AML.\nMETHODS: A total of 119 newly diagnosed adult patients with AML and 60 healthy controls were recruited. Blood specimens were obtained from all AML patients at diagnosis, and 10 blood specimens were obtained on day 28 after induction chemotherapy. The controls also provided blood samples. Relative gene expression was quantified by PCR and determined using the comparative Ct method. Publicly available clinical data and gene expressions for 188 patients with AML were downloaded from TCGA data portal.\nRESULTS: Compared with healthy controls, the expression of miRNA-181a-3p was significantly increased in patients with AML. MiR-181a-3p expression could be used to discriminate AML patients from controls, with up-regulated expression correlating with favorable prognosis. Moreover, miRNA-181a-3p expression was significantly decreased in patients who achieved a complete response after induction chemotherapy. The multivariate Cox analysis highlighted the prognostic value of miR-181a-3p for patients with AML. Finally, we found that miR-181a-3p expression was negatively correlated with the expression of the NF-κB essential modulator (NEMO/IKBKG).\nCONCLUSIONS: MiR-181a-3p may be clinically useful as a disease marker for AML, and enhanced the prediction of patient outcomes to chemotherapy.", "claims": [{"id": "claim-method", "statement": "Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32180907", "locator": "sections[5] \"Data analysis\" paragraph 2", "quote": "Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available clinical, gene expression data for 188 patients with AML were downloaded from TCGA data portal.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32180907", "locator": "sections[4] \"TCGA data set\" paragraph 2", "quote": "Publicly available clinical, gene expression data for 188 patients with AML were downloaded from TCGA data portal."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "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:32180907"], "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": "blocked", "blocked_on": "data:accession_absent", "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": [], "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": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32180907", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.4084/MJHID.2020.012", "sha256": "sha256:343c15ec55a39078048cfaedbf2827b0fa7d19d374cc3e5f950d87360bf67d50", "bytes": 24022, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.4084/MJHID.2020.012", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7059742", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "asset:table:pmid:32180907:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:585fbf9712765ded62def153ad4d7bcf8050fc7fc98aece883c282e0139fe488", "bytes": 831, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[7]/table-wrap[1]#t1-mjhid-12-1-e2020012", "version": null, "note": "Clinical characteristics of AML patients at diagnosis.", "structure": {"pmcid": "PMC7059742", "section_index": 7, "section_title": "Patient clinical characteristics and treatment", "row_count": 32, "column_count": 2}, "table": {"label": "Table 1", "caption": "Clinical characteristics of AML patients at diagnosis.", "rows": [["Characteristic", "N(%)"], [""], ["Gender", ""], ["Male", "62 (52.1)"], ["Female", "57 (47.9)"], [""], ["Age", ""], ["< 60 years", "81 (68.1)"], ["≥60 years", "38 (31.9)"], [""], ["WBC", ""], ["< 100×109/L", "113 (95.0)"], ["≥100×109/L", "6 (5.0)"], [""], ["FAB", ""], ["M0", "1 (0.8)"], ["M1", "9 (7.6)"], ["M2", "30 (25.2)"], ["M3", "20 (16.8)"], ["M4", "16 (13.4)"], ["M5", "43(36.1)"], [""], ["Risk groups", ""], ["Low and intermediate risk", "73 (61.3)"], ["High risk", "46 (38.7)"], [""], ["Molecular abnormalities", ""], ["PML/RARa", "20 (16.8)"], ["AML1/ETO", "24 (20.2)"], ["FLT3-ITD or -TKD", "12 (10.1)"], ["CEBPA", "5 (4.2)"], ["NPM1", "5 (4.2)"]], "row_count": 32, "column_count": 2, "numeric_cells": 23, "header_rows": 2, "locator": "section[7]/table-wrap[1]#t1-mjhid-12-1-e2020012"}}, {"id": "asset:table:pmid:32180907:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4f905803eeb7445223100172703f7add6aa9f989f65a58ce97e595cd4a4ef68d", "bytes": 677, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#t2-mjhid-12-1-e2020012", "version": null, "note": "The AUC of miR-181a-3p in the samples of different subtypes. P-values calculated by Unpaired student’s t test. AUC = The Area Under Curve. 95% CI = 95% confidence interval.", "structure": {"pmcid": "PMC7059742", "section_index": 8, "section_title": "The clinical value of miRNA-181a-3p in the diagnosis of AML", "row_count": 9, "column_count": 4}, "table": {"label": "Table 2", "caption": "The AUC of miR-181a-3p in the samples of different subtypes. P-values calculated by Unpaired student’s t test. AUC = The Area Under Curve. 95% CI = 95% confidence interval.", "rows": [["miR-181a-3p"], ["", "AUC", "95%CI", "P"], ["M1", "0.736", "0.537–0.935", "P<0.05"], ["M2", "0.805", "0.701–0.908", "P<0.0001"], ["M3", "0.759", "0.612–0.907", "P<0.001"], ["M4", "0.588", "0.408–0.767", "P>0.05"], ["M5", "0.521", "0.405–0.637", "P>0.05"], ["AML1/ETO", "0.732", "0.606–0.859", "P<0.001"], ["PML/RARa", "0.759", "0.612–0.907", "P<0.001"]], "row_count": 9, "column_count": 4, "numeric_cells": 23, "header_rows": 2, "locator": "section[8]/table-wrap[1]#t2-mjhid-12-1-e2020012"}}, {"id": "asset:table:pmid:32180907:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:f277a9bde9197d1e8aadac5fb982f7d6ca7084a0b2407fee97d60de53800e466", "bytes": 1251, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#t3-mjhid-12-1-e2020012", "version": null, "note": "Multivariate Cox regression analysis of independent risk factors influencing OS and DFS. P-values calculated by Unpaired student’s t test. WBC = white blood cell. 95% CI = 95% confidence interval.", "structure": {"pmcid": "PMC7059742", "section_index": 10, "section_title": "Association of miR181a-3p expression with AML patient outcome", "row_count": 15, "column_count": 4}, "table": {"label": "Table 3", "caption": "Multivariate Cox regression analysis of independent risk factors influencing OS and DFS. P-values calculated by Unpaired student’s t test. WBC = white blood cell. 95% CI = 95% confidence interval.", "rows": [["Multivariate Cox regression analysis"], ["Overall Survival (OS)"], ["Covariants : tested vs control (HR= 1)", "HR", "95%CI", "P"], ["miR-181a-3p levels (diagnosis): low vs high", "1.923", "1.035–3.574", "P < 0.05"], ["Age: ≥ 60 years vs <60 years", "1.848", "1.070–3.192", "P < 0.05"], ["High risk group vs low/intermediate risk", "2.694", "1.549–4.687", "P < 0.0001"], ["Gender: male vs female", "", "", "P =0.204"], ["WBC count: >100000 cells/μl vs <100000 cells/μl", "", "", "P = 0.588"], ["Disease-Free Survival (DFS)"], ["Covariants: tested vs control (HR=1)", "HR", "95%CI", "P"], ["miR-181a-3p levels (diagnosis): low vs high", "", "", "P = 0.113"], ["Age: ≥ 60 years vs <60 years", "", "", "P = 0.098"], ["High risk group vs low/intermediate risk", "1.947", "1.197–3.169", "P < 0.001"], ["Gender: male vs female", "", "", "P = 0.970"], ["WBC count: >100000 cells/μl vs <100000 cells/μ", "", "", "P = 0.709"]], "row_count": 15, "column_count": 4, "numeric_cells": 28, "header_rows": 1, "locator": "section[10]/table-wrap[1]#t3-mjhid-12-1-e2020012"}}, {"id": "asset:table:pmid:32180907:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:c2fcbf937e556f93b92b0cd950e89f9c2038e0a9a3e8f084f90b97f0e998de7f", "bytes": 957, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#t4-mjhid-12-1-e2020012", "version": null, "note": "The linear correlation analysis in AML samples. P-values calculated by Pearson’s Correlation. 95% CI = 95% confidence interval.", "structure": {"pmcid": "PMC7059742", "section_index": 11, "section_title": "Assessment of the relationship between miR-181a-3p ectopic expression and IKBKG and NF-κB family", "row_count": 14, "column_count": 5}, "table": {"label": "Table 4", "caption": "The linear correlation analysis in AML samples. P-values calculated by Pearson’s Correlation. 95% CI = 95% confidence interval.", "rows": [["DATA from TCGA"], ["", "vs NEMO/IKBKG", "vs miR181a-3p"], ["", "Person correlation", "p-value", "Person correlation", "p-value"], ["NF-κB1", "0.377", "2.723e-06", "−0.209", "1.12e-02"], ["NF-κB2", "0.598", "1.653e-15", "−0.555", "3.66e-13"], ["RelA", "0.557", "2.844e-13", "−0.19", "2.184e-02"], ["RelB", "0.524", "1.15e-11", "−0.309", "1.478e-04"], ["Rel", "−0.013", "8.799e-01", "−0.121", "1.45e-01"], ["NEMO/IKBKG", "", "", "−0.313", "1.168e-04"], ["59 patients with primary AML"], ["", "vs NEMO/IKBKG", "vs miR181a-3p"], ["", "Person correlation", "p-value", "Person correlation", "p-value"], ["NF-κB", "0.2601", "0.0466", "−0.2795", "0.0321"], ["NEMO/IKBKG", "", "", "−0.2613", "0.0456"]], "row_count": 14, "column_count": 5, "numeric_cells": 31, "header_rows": 2, "locator": "section[11]/table-wrap[1]#t4-mjhid-12-1-e2020012"}}], "gaps": []}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients."}}, {"id": "method-2", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "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": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "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": "R4", "reachable": false, "accessions": [], "resolved_accessions": [], "statements": ["Publicly available clinical, gene expression data for 188 patients with AML were downloaded from TCGA data portal."], "basis": "The paper names no accession to its source data, so the data has to come from the authors."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:32180907", "asset:table:pmid:32180907:1", "asset:table:pmid:32180907:2", "asset:table:pmid:32180907:3", "asset:table:pmid:32180907:4"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:18:43Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 21875, "completion_tokens": 984, "cached_tokens": 520}}, "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:32180907", "type": "paper", "label": "pmid:32180907"}, {"id": "source:pmid:32180907", "type": "manuscript", "label": "PMID 32180907 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32180907", "type": "paper", "label": "pmid:32180907"}, {"id": "source:pmid:32180907", "type": "manuscript", "label": "PMID 32180907 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32180907", "type": "extraction", "used": ["source:pmid:32180907"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "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:32180907", "parent_hash": "sha256:f656bb9d31343da23268838afaaa570ca126fd74eef47d75bae8d925f92b7b26", "fork_of": null, "generation": 6}, "gaps": ["execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Cox proportional hazards models were used to analyze the prognostic utility of miRNA expression for disease-free survival (DFS) and overall survival (OS) in AML patients."], "order_basis": "analysis_only", "id": "assay:1"}]}