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pmid:34225739

Integrative analysis of ceRNA network reveals functional lncRNAs associated with independent recurrent prognosis in colon adenocarcinoma.

Yinling Mao · Jiachen Lv · Li Jiang · Yihui Wang

Cancer cell international · 2021 doi:10.1186/s12935-021-02069-6

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Experiment

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Integrative analysis of ceRNA network reveals functional lncRNAs associated with independent recurrent prognosis in colon adenocarcinoma.
doi
10.1186/s12935-021-02069-6
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34225739
authors array · 4 items
[0]
Yinling Mao
[1]
Jiachen Lv
[2]
Li Jiang
[3]
Yihui Wang
journal
Cancer cell international
year
2021
abstract
BACKGROUND: Long non-coding RNAs (lncRNAs), acting as competing endogenous RNA (ceRNA) have been reported to regulate the expression of targeted genes by sponging miRNA in colon adenocarcinoma (COAD). METHODS: However, their potential implications for recurrence free survival prognosis and functional roles remains largely unclear in COAD. In this study, we downloaded the TCGA dataset (training dataset) and GSE39582 (validation dataset) of COAD patients with prognostic information. RESULTS: A total of 411 differentially expressed genes (DElncRNAs: 12 downregulated and 43 upregulated), 18 DE miRNAs (9 downregulated and 9 upregulated) and 338 DEmRNAs (113 downregulated and 225 upregulated) were identified in recurrence samples compared with non-recurrence samples with the thresholds of FDR < 0.05 and |log2FC|> 0.263. Based on six signature lncRNAs (LINC00899, LINC01503, PRKAG2-AS1, RAD21-AS1, SRRM2-AS1 and USP30-AS1), the risk score (RS) system was constructed. Two prognostic clinical features, including pathologic stage and RS model status were screened for building the nomogram survival model. Moreover, a recurrent-specific ceRNA network was successfully constructed with 2 signature lncRNAs, 4 miRNAs and 113 mRNAs. Furthermore, we further manifested that SRRM2-AS1 predicted a poor prognosis in COAD patients. Furthermore, knockdown of SRRM2-AS1 significantly suppressed cell proliferation, migration, invasion and EMT markers in HT-29 and SW1116 cells. CONCLUSION: These identified novel lncRNA signature and ceRNA network associated with recurrence prognosis might provide promising therapeutic targets for COAD patients.
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Then, differentially expressed DERs, including DElncRNAs, DEmiRNAs and DEmRNAs were screened between recurrence and non-recurrence specimens using the limma package (software version 3.34.7) of R [21].
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sections[4] "Analysis of differential expressed RNAs (DERs)" paragraph 2
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Then, differentially expressed DERs, including DElncRNAs, DEmiRNAs and DEmRNAs were screened between recurrence and non-recurrence specimens using the limma package (software version 3.34.7) of R [21].
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Homo sapiens
title
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
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2026-11-01T15:39:54Z
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A 6-lncRNA signature significantly and independently correlated to prognosis
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PMC8259330
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18
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Construction and validation of 6 lncRNA-based prognostic signature
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A 6-lncRNA signature significantly and independently correlated to prognosis
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[0]
Symbol
[1]
coef
[2]
Pr ( >|z|)
[3]
Hazard Ratio
[4]
95%CI
[1] array · 5 items
[0]
LINC00899
[1]
1.0109537
[2]
0.041095
[3]
2.852
[4]
1.875–4.298
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[0]
LINC01503
[1]
0.6383124
[2]
0.003025
[3]
2.150
[4]
1.245–3.712
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[0]
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− 0.499666
[2]
0.000635
[3]
0.483
[4]
0.310–0.752
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[1]
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[2]
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[3]
0.040
[4]
0.018–0.186
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[2]
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[3]
3.511
[4]
1.624–7.592
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[2]
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[3]
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[4]
0.450–0.969
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Determination of prognostic clinical factors
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Building nomogram based on prognostic clinical factors and the six-lncRNA signature
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table object · 8 fields
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Table 2
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Determination of prognostic clinical factors
rows array · 11 items
[0] array · 3 items
[0]
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[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 4 items
[0]
HR (95% CI)
[1]
P value
[2]
HR (95% CI)
[3]
P value
[2] array · 5 items
[0]
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[1]
0.989 (0.971–1.006)
[2]
1.937E−01
[3]
NA
[4]
NA
[3] array · 5 items
[0]
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[1]
1.630 (1.030–2.579)
[2]
3.521E−02*
[3]
1.567 (0.984–2.495)
[4]
5.872E−02
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[0]
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[1]
3.498 (2.015–6.072)
[2]
2.162E−06*
[3]
2.358 (0.870–6.391)
[4]
9.165E−02
[5] array · 5 items
[0]
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[1]
0.909 (0.537–1.540)
[2]
7.226E−01
[3]
NA
[4]
NA
[6] array · 5 items
[0]
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[1]
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[2]
3.167E−04*
[3]
1.552 (0.909–2.649)
[4]
1.070E−01
[7] array · 5 items
[0]
Pathologic stage (I/II/III/IV/−)
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1.849 (1.423–2.402)
[2]
2.874E−06*
[3]
1.482 (1.105–1.986)
[4]
8.541E−03*
[8] array · 5 items
[0]
lncRNA RS model (High/Low)
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2.925 (1.773–4.825)
[2]
1.062E−05*
[3]
2.438 (1.443–4.118)
[4]
8.610E−04*
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[0]
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NA
[2]
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[3]
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[4]
NA
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[2]
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[3]
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[4]
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Association between SRRM2-AS1 expression and clinicopathological characteristics of COAD patients
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pmcid
PMC8259330
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SRRM2-AS1 was upregulated in COAD and high SRRM2-AS1 level predicted worse prognosis
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5
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Table 3
caption
Association between SRRM2-AS1 expression and clinicopathological characteristics of COAD patients
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[0] array · 4 items
[0]
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[1]
Cases (n = 60)
[2]
SRRM2-AS1 expression
[3]
P value
[1] array · 3 items
[0]
Low (n = 22)
[1]
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[2]
(chi-square test)
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[0]
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[2]
[3]
[4]
0.310
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[0]
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[2]
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[3]
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[4]
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[3]
22
[4]
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0.746
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32
[2]
9
[3]
23
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[2]
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[3]
15
[4]
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[4]
0.031*
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[2]
16
[3]
22
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[2]
6
[3]
16
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0.023*
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[0]
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[1]
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[3]
20
[4]
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[2]
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[3]
18
[4]
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[4]
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[2]
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[3]
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[3]
20
[4]
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[3]
[4]
0.295
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11
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section[22]/table-wrap[1]#Tab3
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Cox regression analysis of prognostic predictors affecting overall survival in COAD patients
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PMC8259330
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22
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SRRM2-AS1 was upregulated in COAD and high SRRM2-AS1 level predicted worse prognosis
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Table 4
caption
Cox regression analysis of prognostic predictors affecting overall survival in COAD patients
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[0] array · 3 items
[0]
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[1]
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[2]
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[0]
HR (95% CI)
[1]
P value
[2]
HR (95% CI)
[3]
P value
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[0]
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[2]
0.375
[3]
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[4]
NA
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0.812
[3]
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[2]
0.023*
[3]
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[4]
0.018*
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0.028*
[3]
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[4]
0.042*
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[2]
0.013*
[3]
1.989 (1.296–2.751)
[4]
0.051
[7] array · 5 items
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[2]
0.475
[3]
NA
[4]
NA
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SRRM2-AS1 expression
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0.998 (0.546–1.312)
[2]
0.013*
[3]
0.853 (0.496–1.143)
[4]
0.024*
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section[22]/table-wrap[2]#Tab4
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Then, differentially expressed DERs, including DElncRNAs, DEmiRNAs and DEmRNAs were screened between recurrence and non-recurrence specimens using the limma package (software version 3.34.7) of R [21].
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Survival analysis
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time_to_event_with_censoring
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pearson_r
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chi_square_test
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gaps array · 7 items
[0]
asset:data:geo:GSE39582 licence not read
[1]
asset:data:geo:GSE39582 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
oor prognosis in COAD patients. Furthermore, knockdown of SRRM2-AS1 significantly suppressed cell p
[1]
.8 in R3.4.1 language [23]. Cell culture and transfection Four COAD cell lines (HT-29, DLD-1, SW1116 a
[2]
of SRRM2-AS1 in HT-29 and SW1116 cells. Cell transfection was achieved using Lipofectamine 3000 (Invit
[3]
d, CA). Samples were harvested after 48 h of transfection. Statistical analysis The statistical analys
order_basis
paper_text_order:1435
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
re Collection (ATCC, Manassas, VA, USA). All cell lines were cultured in DMEM medium (Gibco, Carlsbad, CA) with 10
[1]
TCC, Manassas, VA, USA). All cell lines were cultured in DMEM medium (Gibco, Carlsbad, CA) with 10% f
order_basis
paper_text_order:2833
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Then, differentially expressed DERs, including DElncRNAs, DEmiRNAs and DEmRNAs were screened between recurrence and non-recurrence specimens using the limma package (software version 3.34.7) of R [21].
order_basis
consumes_earlier_output
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34225739", "kind": "science-record", "revision": 8, "content_hash": "sha256:a5f9c4a582509942d452aed837875f3fdf5800e2409029034557f86e24350426", "created_at": "2026-11-01T15:41:42Z", "updated_at": "2026-11-01T22:47:01Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrative analysis of ceRNA network reveals functional lncRNAs associated with independent recurrent prognosis in colon adenocarcinoma.", "doi": "10.1186/s12935-021-02069-6", "pmid": "34225739", "authors": ["Yinling Mao", "Jiachen Lv", "Li Jiang", "Yihui Wang"], "journal": "Cancer cell international", "year": 2021, "abstract": "BACKGROUND: Long non-coding RNAs (lncRNAs), acting as competing endogenous RNA (ceRNA) have been reported to regulate the expression of targeted genes by sponging miRNA in colon adenocarcinoma (COAD).\nMETHODS: However, their potential implications for recurrence free survival prognosis and functional roles remains largely unclear in COAD. In this study, we downloaded the TCGA dataset (training dataset) and GSE39582 (validation dataset) of COAD patients with prognostic information.\nRESULTS: A total of 411 differentially expressed genes (DElncRNAs: 12 downregulated and 43 upregulated), 18 DE miRNAs (9 downregulated and 9 upregulated) and 338 DEmRNAs (113 downregulated and 225 upregulated) were identified in recurrence samples compared with non-recurrence samples with the thresholds of FDR < 0.05 and |log2FC|> 0.263. Based on six signature lncRNAs (LINC00899, LINC01503, PRKAG2-AS1, RAD21-AS1, SRRM2-AS1 and USP30-AS1), the risk score (RS) system was constructed. Two prognostic clinical features, including pathologic stage and RS model status were screened for building the nomogram survival model. Moreover, a recurrent-specific ceRNA network was successfully constructed with 2 signature lncRNAs, 4 miRNAs and 113 mRNAs. Furthermore, we further manifested that SRRM2-AS1 predicted a poor prognosis in COAD patients. Furthermore, knockdown of SRRM2-AS1 significantly suppressed cell proliferation, migration, invasion and EMT markers in HT-29 and SW1116 cells.\nCONCLUSION: These identified novel lncRNA signature and ceRNA network associated with recurrence prognosis might provide promising therapeutic targets for COAD patients.", "claims": [{"id": "claim-method", "statement": "Then, differentially expressed DERs, including DElncRNAs, DEmiRNAs and DEmRNAs were screened between recurrence and non-recurrence specimens using the limma package (software version 3.34.7) of R [21].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34225739", "locator": "sections[4] \"Analysis of differential expressed RNAs (DERs)\" paragraph 2", "quote": "Then, differentially expressed DERs, including DElncRNAs, DEmiRNAs and DEmRNAs were screened between recurrence and non-recurrence specimens using the limma package (software version 3.34.7) of R [21]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34225739", "locator": "sections[33] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "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:34225739"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE39582"], "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": ["data:geo:GSE39582"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34225739", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12935-021-02069-6", "sha256": "sha256:3978eaa6712471f15a596f41f21c55c583a85b85a9dbec44c190d6df62dac361", "bytes": 49164, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12935-021-02069-6", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8259330", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE39582", "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=GSE39582", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39582", "version": null, "note": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.", 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null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:34225739:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:e95ee5fc29a18e7cef871bae59c936cab378b8f322e599cd64900b8c82857f5c", "bytes": 654, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[18]/table-wrap[1]#Tab1", "version": null, "note": "A 6-lncRNA signature significantly and independently correlated to prognosis", "structure": {"pmcid": "PMC8259330", "section_index": 18, "section_title": "Construction and validation of 6 lncRNA-based 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"access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[19]/table-wrap[1]#Tab2", "version": null, "note": "Determination of prognostic clinical factors", "structure": {"pmcid": "PMC8259330", "section_index": 19, "section_title": "Building nomogram based on prognostic clinical factors and the six-lncRNA signature", "row_count": 11, "column_count": 5}, "table": {"label": "Table 2", "caption": "Determination of prognostic clinical factors", "rows": [["Variables", "Univariate analysis", "Multivariate analysis"], ["HR (95% CI)", "P value", "HR (95% CI)", "P value"], ["Age (years, mean ± SD)", "0.989 (0.971–1.006)", "1.937E−01", "NA", "NA"], ["Gender (Male/Female)", "1.630 (1.030–2.579)", "3.521E−02*", "1.567 (0.984–2.495)", "5.872E−02"], ["Pathologic M (M0/M1/−)", "3.498 (2.015–6.072)", "2.162E−06*", "2.358 (0.870–6.391)", "9.165E−02"], ["Pathologic N (N0/N1/N2)", "0.909 (0.537–1.540)", "7.226E−01", "NA", "NA"], ["Pathologic T 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"0.009*"], ["I–II", "33", "15", "18", ""], ["III–IV", "27", "7", "20", ""], ["Differentiation", "", "", "", "0.295"], ["Well/moderately", "42", "15", "27", ""], ["Poorly", "18", "7", "11", ""]], "row_count": 20, "column_count": 5, "numeric_cells": 49, "header_rows": 2, "locator": "section[22]/table-wrap[1]#Tab3"}}, {"id": "asset:table:pmid:34225739:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:ec106a7c69b177fa6ea81d48930dbb0c8c704c515517cf50f24dbbd0261a18fb", "bytes": 871, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[22]/table-wrap[2]#Tab4", "version": null, "note": "Cox regression analysis of prognostic predictors affecting overall survival in COAD patients", "structure": {"pmcid": "PMC8259330", "section_index": 22, "section_title": "SRRM2-AS1 was upregulated in COAD and high SRRM2-AS1 level predicted worse prognosis", "row_count": 9, "column_count": 5}, "table": {"label": "Table 4", "caption": "Cox regression analysis of prognostic predictors affecting overall survival in COAD patients", "rows": [["Characteristics", "Univariate analysis", "Multivariate analysis"], ["HR (95% CI)", "P value", "HR (95% CI)", "P value"], ["Age", "1.102 (0.835–1.998)", "0.375", "NA", "NA"], ["Gender", "0.895 (0.486–1.278)", "0.812", "NA", "NA"], ["Tumor size (cm)", "3.214 (2.278–4.325)", "0.023*", "2.845 (1.696–3.142)", "0.018*"], ["Lymph node metastasis", "2.013 (1.843–3.204)", "0.028*", "1.734 (0.996–2.512)", "0.042*"], ["TNM stage", "1.421 (1.046–2.417)", "0.013*", "1.989 (1.296–2.751)", "0.051"], ["Differentiation", "1.204 (0.712–2.048)", "0.475", "NA", "NA"], ["SRRM2-AS1 expression", "0.998 (0.546–1.312)", "0.013*", "0.853 (0.496–1.143)", "0.024*"]], "row_count": 9, "column_count": 5, "numeric_cells": 24, "header_rows": 2, "locator": "section[22]/table-wrap[2]#Tab4"}}], "gaps": ["asset:data:geo:GSE39582 not downloaded", 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