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pmid:35726651

Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.

Wenjing Xiao · Wei Geng · Juanjuan Xu · Qi Huang · Jinshuo Fan · Qi Tan · Zhengrong Yin · Yumei Li · Guanghai Yang · Yang Jin

Cancer medicine · 2023 doi:10.1002/cam4.4961

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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pmid:35726651
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title
Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.
doi
10.1002/cam4.4961
pmid
35726651
authors array · 10 items
[0]
Wenjing Xiao
[1]
Wei Geng
[2]
Juanjuan Xu
[3]
Qi Huang
[4]
Jinshuo Fan
[5]
Qi Tan
[6]
Zhengrong Yin
[7]
Yumei Li
[8]
Guanghai Yang
[9]
Yang Jin
journal
Cancer medicine
year
2023
abstract
BACKGROUND: The N6-methyladenosine (m6 A) can modify long non-coding RNAs (lncRNAs), thereby influencing a wide array of biological functions. However, the prognosis of m6 A-related lncRNAs (m6 ARLncRNAs) in non-small cell lung cancer (NSCLC) remains largely unknown. METHODS: Pearson correlation analysis was used to identify m6 ARLncRNAs in 1835 NSCLC patients and with the condition (|Pearson R| > 0.4 and p < 0.001). Univariant Cox regression analysis was conducted to explore the prognostic m6 ARLncRNAs. We filtered prognostic m6 ARLncRNAs by LASSO regression and multivariate Cox proportional hazard regression to construct and validate an m6 ARLncRNAs signature (m6 ARLncSig). We analyzed the correlation between the m6 ARLncSig score and clinical features, immune microenvironment, tumor mutation burden, and therapeutic sensitivity and conducted independence and clinical stratification analysis. Finally, we established and validated a nomogram for prognosis prediction in NSCLC patients. RESULTS: Forty-one m6 ARLncRNAs were identified as prognostic lncRNAs, and 12 m6 ARLncRNAs were selected to construct m6 ARLncSig in the TCGA training dataset. The m6 ARLncSig was further validated in the testing dataset, GSE31210, GSE37745, GSE30219, and our NSCLC samples. In terms of m6 ARLncSig, NSCLC patients were divided into high- and low-risk groups, with significantly different overall survival (OS), clinical features (age, sex, and tumor stage), tumor-infiltrating immune cells, chemotherapeutic sensitivity, radiotherapeutic response, and biological pathways. Moreover, m6 ARLncSig independently predicted the OS of NSCLC patients. Finally, the robustness and clinical practicability for predicting NSCLC patient prognosis was improved by constructing a nomogram containing the m6 ARLncSig, age, gender, and tumor stage. CONCLUSIONS: Our study demonstrated that m6 ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.
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The data supporting this study's findings are available from the corresponding author upon reasonable request.
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Our study demonstrated that m6ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.
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Our study demonstrated that m6ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.
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Our study demonstrated that m6ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.
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[242]
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GSM773783
[244]
GSM773784
[245]
GSM773785
sample_count
246
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression data for pathological stage I-II lung adenocarcinomas
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE37745
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=GSE37745
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37745
version
null
note
The data supporting this study's findings are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data supporting this study's findings are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 196 items
[0]
GSM1019138
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[195]
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sample_count
196
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE30219 not downloaded
[1]
asset:data:geo:GSE30219 licence not read
[2]
asset:data:geo:GSE31210 not downloaded
[3]
asset:data:geo:GSE31210 licence not read
[4]
asset:data:geo:GSE37745 not downloaded
[5]
asset:data:geo:GSE37745 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Cox regression
[1] object · 10 fields
id
method-2
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.7
band
medium
quote
Pearson correlation
[2] object · 10 fields
id
method-3
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
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solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC analysis
[3] object · 10 fields
id
method-4
family
contingency_analysis
specific
fisher_exact
label
Categorical (contingency table) analysis
dsl_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
Fisher's exact
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
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survival_analysis
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statistical_regression
[4]
pca
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molecular_docking
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network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
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 object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE37745
[1]
GSE30219
[2]
GSE31210
resolved_accessions array · 3 items
[0]
GSE37745
[1]
GSE30219
[2]
GSE31210
statements array · 1 item
[0]
The data supporting this study's findings are available from the corresponding author upon reasonable request.
basis
The paper names GSE37745, GSE30219, GSE31210 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:35726651
[1]
data:geo:GSE30219
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE30219
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:51:40Z
independence
single_reader
evidence_check object · 2 fields
method
null
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
14824
completion_tokens
1800
cached_tokens
128
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:35726651
type
paper
label
pmid:35726651
[1] object · 3 fields
id
source:pmid:35726651
type
manuscript
label
PMID 35726651 full text
[2] object · 3 fields
id
data:geo:GSE30219
type
dataset
label
GEO GSE30219
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:35726651
type
paper
label
pmid:35726651
[1] object · 3 fields
id
source:pmid:35726651
type
manuscript
label
PMID 35726651 full text
[2] object · 3 fields
id
data:geo:GSE30219
type
dataset
label
GEO GSE30219
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35726651
type
extraction
used array · 1 item
[0]
source:pmid:35726651
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE30219
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE30219
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
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:35726651
parent_hash
sha256:58092deca0c1c316da39d26a81f2325e9511752926f5d2fe7547e980da5d1011
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE30219 licence not read
[1]
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[2]
asset:data:geo:GSE31210 licence not read
[3]
asset:data:geo:GSE31210 not downloaded
[4]
asset:data:geo:GSE37745 licence not read
[5]
asset:data:geo:GSE37745 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Cox regression
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:35726651", "kind": "science-record", "revision": 4, "content_hash": "sha256:57bf36c88e39a7ae1e91c705bb15be4582ecd0406cf1717b8363dedd00070fed", "created_at": "2026-11-01T18:14:44Z", "updated_at": "2026-11-01T22:06:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.", "doi": "10.1002/cam4.4961", "pmid": "35726651", "authors": ["Wenjing Xiao", "Wei Geng", "Juanjuan Xu", "Qi Huang", "Jinshuo Fan", "Qi Tan", "Zhengrong Yin", "Yumei Li", "Guanghai Yang", "Yang Jin"], "journal": "Cancer medicine", "year": 2023, "abstract": "BACKGROUND: The N6-methyladenosine (m6 A) can modify long non-coding RNAs (lncRNAs), thereby influencing a wide array of biological functions. However, the prognosis of m6 A-related lncRNAs (m6 ARLncRNAs) in non-small cell lung cancer (NSCLC) remains largely unknown.\nMETHODS: Pearson correlation analysis was used to identify m6 ARLncRNAs in 1835 NSCLC patients and with the condition (|Pearson R| > 0.4 and p < 0.001). Univariant Cox regression analysis was conducted to explore the prognostic m6 ARLncRNAs. We filtered prognostic m6 ARLncRNAs by LASSO regression and multivariate Cox proportional hazard regression to construct and validate an m6 ARLncRNAs signature (m6 ARLncSig). We analyzed the correlation between the m6 ARLncSig score and clinical features, immune microenvironment, tumor mutation burden, and therapeutic sensitivity and conducted independence and clinical stratification analysis. Finally, we established and validated a nomogram for prognosis prediction in NSCLC patients.\nRESULTS: Forty-one m6 ARLncRNAs were identified as prognostic lncRNAs, and 12 m6 ARLncRNAs were selected to construct m6 ARLncSig in the TCGA training dataset. The m6 ARLncSig was further validated in the testing dataset, GSE31210, GSE37745, GSE30219, and our NSCLC samples. In terms of m6 ARLncSig, NSCLC patients were divided into high- and low-risk groups, with significantly different overall survival (OS), clinical features (age, sex, and tumor stage), tumor-infiltrating immune cells, chemotherapeutic sensitivity, radiotherapeutic response, and biological pathways. Moreover, m6 ARLncSig independently predicted the OS of NSCLC patients. Finally, the robustness and clinical practicability for predicting NSCLC patient prognosis was improved by constructing a nomogram containing the m6 ARLncSig, age, gender, and tumor stage.\nCONCLUSIONS: Our study demonstrated that m6 ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.", "claims": [{"id": "claim-data-access", "statement": "The data supporting this study's findings are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35726651", "locator": "sections[37] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "The data supporting this study's findings are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Our study demonstrated that m6ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35726651", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our study demonstrated that m6ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Our study demonstrated that m6ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.", "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:35726651"], "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": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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