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pmid:34526012

TNFAIP3 mutation may be associated with favorable overall survival for patients with T-cell lymphoma.

Cunte Chen · Zheng Chen · Ling Huang · Lingling Zhou · Lihua Zhu · Sichu Liu · Gengxin Luo · Wenyu Li · Chengwu Zeng · Yangqiu Li

Cancer cell international · 2021 doi:10.1186/s12935-021-02191-5

Paper

complete

Experiment

complete

Data

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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:34526012
kind
science-record
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sha256:e4819dd21de51bcda84709b5c7d0e336d3424990afe83592d46e8aa1fed52c8f
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:52Z
updated_at
2026-11-01T22:47:30Z
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paper object · 10 fields
state
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title
TNFAIP3 mutation may be associated with favorable overall survival for patients with T-cell lymphoma.
doi
10.1186/s12935-021-02191-5
pmid
34526012
authors array · 10 items
[0]
Cunte Chen
[1]
Zheng Chen
[2]
Ling Huang
[3]
Lingling Zhou
[4]
Lihua Zhu
[5]
Sichu Liu
[6]
Gengxin Luo
[7]
Wenyu Li
[8]
Chengwu Zeng
[9]
Yangqiu Li
journal
Cancer cell international
year
2021
abstract
BACKGROUND: T-cell lymphoma (TCL) is highly aggressive and has a poor prognosis; thus, it is worth exploring biomarkers that may predict clinical outcomes and investigate their potential role in developing targeted therapies. In this study, we characterized the mutation pattern of tumor necrosis factor-alpha-inducing protein 3 (TNFAIP3) and its role in the prognosis of TCL patients. METHODS: Coding sequence (CDS) mutations in TNFAIP3 in TCL patients was explored using exome-sequencing data from 79 patients in our center (Guangdong Provincial People's Hospital, GDPH) and 544 samples from the Catalogue of Somatic Mutations in Cancer (COSMIC) database. Additionally, non-CDS mutations in TNFAIP3 in 41 TCL patients from our center (JNU) were investigated by polymerase chain reaction (PCR) and Sanger sequencing. Furthermore, non-CDS mutations in TNFAIP3 in 47 TCL patients from Gene Expression Omnibus (GEO) dataset were explored. RESULTS: In the COSMIC database, TNFAIP3 mutations in TCL patients were located in the CDS, and the overall mutation frequency was 2.2%. However, TNFAIP3 mutations were not detected in the CDS of any of the samples in our center's datasets. Interestingly, non-CDS TNFAIP3 mutations were found in 14.6% and 4.3% of TCL patients in the JNU and GSE15842 dataset, respectively. Importantly, there was a clear trend showing that TCL patients with a TNFAIP3 mutation were associated with a longer 5-year restricted mean survival time (RMST) and favorable OS rate compared with those without a TNFAIP3 mutation in the JNU dataset [hazard ratio (HR) = 0.29, 95% confidence interval (CI) 0.07 to 1.31, P = 0.089]. Furthermore, TNFAIP3 mutations significantly correlated with T-cell large granular lymphocytic leukemia (T-LGLL) with a favorable prognosis in the JNU dataset (P = 0.002). Notably, the different mutation patterns of TNFAIP3 when comparing our center and the COSMIC datasets might be due to different ethnic and genetic backgrounds. CONCLUSIONS: To the best of our knowledge, we for the first time describe that TNFAIP3 mutations in non-CDS regions are associated with favorable OS for TCL patients, which might be a potential biomarker for the prognostic stratification of Chinese TCL patients.
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Kaplan–Meier curves were plotted by the R package “survival’’, which was compared using the log-rank test [25, 26]. The R package “survRM2’’ was also used to determine the restricted mean survival time (RMST) [27].
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sections[7] "Statistical analysis" paragraph 2
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Kaplan–Meier curves were plotted by the R package “survival’’, which was compared using the log-rank test [25, 26]. The R package “survRM2’’ was also used to determine the restricted mean survival time (RMST) [27].
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The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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sections[19] "Availability of data and materials" paragraph 2
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The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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SNP array genomic profiling of PTCL NOS
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2026-11-01T15:39:54Z
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Clinical characteristics of TCL patients
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GDPH and JNU datasets
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Table 1
caption
Clinical characteristics of TCL patients
rows array · 31 items
[0] array · 5 items
[0]
Variables
[1]
JNU dataset
[2]
GDPH dataset
[3]
COSMIC dataset
[4]
GSE15842 dataset
[1] array · 5 items
[0]
Number
[1]
41
[2]
79
[3]
544
[4]
47
[2] array · 3 items
[0]
Gender, n (%)
[1]
–
[2]
–
[3] array · 5 items
[0]
Female
[1]
19 (46.3)
[2]
30 (38.0)
[3]
–
[4]
–
[4] array · 5 items
[0]
Male
[1]
22 (53.7)
[2]
49 (62.0)
[3]
–
[4]
–
[5] array · 5 items
[0]
Age, y, mean ± SD
[1]
48 ± 19
[2]
46 ± 19
[3]
–
[4]
–
[6] array · 1 item
[0]
Subtype, n (%)a
[7] array · 5 items
[0]
AITL
[1]
5 (12.2)
[2]
18 (22.8)
[3]
101 (18.6)
[4]
0 (0.0)
[8] array · 5 items
[0]
ALCL
[1]
1 (2.4)
[2]
6 (7.6)
[3]
19 (3.5)
[4]
0 (0.0)
[9] array · 5 items
[0]
ATLL
[1]
0 (0.0)
[2]
0 (0.0)
[3]
292 (53.7)
[4]
0 (0.0)
[10] array · 5 items
[0]
CTCL
[1]
1 (2.4)
[2]
1 (1.3)
[3]
73 (13.4)
[4]
0 (0.0)
[11] array · 5 items
[0]
EATL
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1 (2.4)
[2]
0 (0.0)
[3]
0 (0.0)
[4]
0 (0.0)
[12] array · 5 items
[0]
HSTCL
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0 (0.0)
[2]
1 (1.3)
[3]
3 (0.6)
[4]
0 (0.0)
[13] array · 5 items
[0]
MEITL
[1]
0 (0.0)
[2]
1 (1.3)
[3]
0 (0.0)
[4]
0 (0.0)
[14] array · 5 items
[0]
NKTCL
[1]
15 (36.6)
[2]
15 (19.0)
[3]
7 (1.3)
[4]
0 (0.0)
[15] array · 5 items
[0]
PTCL-NOS
[1]
5 (12.2)
[2]
18 (22.8)
[3]
48 (8.8)
[4]
47 (100%)
[16] array · 5 items
[0]
SPTCL
[1]
1 (2.4)
[2]
1 (1.3)
[3]
0 (0.0)
[4]
0 (0.0)
[17] array · 5 items
[0]
T-LBL
[1]
9 (22.0)
[2]
18 (22.8)
[3]
0 (0.0)
[4]
0 (0.0)
[18] array · 5 items
[0]
T-LGLL
[1]
3 (7.3)
[2]
0 (0.0)
[3]
1 (0.2)
[4]
0 (0.0)
[19] array · 1 item
[0]
Country, n (%)a
[20] array · 5 items
[0]
China
[1]
41 (100)
[2]
79 (100)
[3]
0 (0.0)
[4]
0 (0.0)
[21] array · 5 items
[0]
USA
[1]
0 (0.0)
[2]
0 (0.0)
[3]
237 (43.6)
[4]
0 (0.0)
[22] array · 5 items
[0]
Japan
[1]
0 (0.0)
[2]
0 (0.0)
[3]
291 (53.5)
[4]
0 (0.0)
[23] array · 5 items
[0]
Australia
[1]
0 (0.0)
[2]
0 (0.0)
[3]
9 (1.7)
[4]
0 (0.0)
[24] array · 5 items
[0]
Italy
[1]
0 (0.0)
[2]
0 (0.0)
[3]
5 (0.9)
[4]
0 (0.0)
[25] array · 5 items
[0]
Germany
[1]
0 (0.0)
[2]
0 (0.0)
[3]
0 (0.0)
[4]
47 (100%)
[26] array · 5 items
[0]
Unknown
[1]
0 (0.0)
[2]
0 (0.0)
[3]
4 (0.7)
[4]
0 (0.0)
[27] array · 5 items
[0]
Detection method
[1]
PCR + sanger sequencing
[2]
Exome sequencing
[3]
–
[4]
SNP array
[28] array · 5 items
[0]
Covered area
[1]
Non-CDS and CDS
[2]
CDS
[3]
CDS
[4]
–
[29] array · 5 items
[0]
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23.37 (0.23 to 157.83)
[2]
–
[3]
–
[4]
–
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[0]
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[2]
–
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–
[4]
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section[3]/table-wrap[1]#Tab1
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Clinical characteristics of T-cell lymphoma patients with a TNFAIP3 mutation
structure object · 5 fields
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PMC8444556
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Mutation pattern of TNFAIP3 in TCL
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Table 2
caption
Clinical characteristics of T-cell lymphoma patients with a TNFAIP3 mutation
rows array · 24 items
[0] array · 9 items
[0]
Sample ID
[1]
Histological subtype
[2]
Age, y
[3]
Gender
[4]
Country
[5]
Mutation sites
[6]
TNFAIP3 mutation
[7]
OS time (months)
[8]
Clinical outcome
[1] array · 1 item
[0]
COSMIC dataset
[2] array · 9 items
[0]
Patient 1
[1]
PTCL-NOS
[2]
< 60
[3]
Female
[4]
USA
[5]
CDS
[6]
g.305 A>G
[7]
–
[8]
Not relapse
[3] array · 9 items
[0]
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[1]
PTCL-NOS
[2]
≥ 60
[3]
Female
[4]
USA
[5]
CDS
[6]
g.1939 A>C
[7]
–
[8]
Not relapse
[4] array · 9 items
[0]
Patient 3
[1]
PTCL-NOS
[2]
–
[3]
–
[4]
USA
[5]
CDS
[6]
g.1939 A>C
[7]
–
[8]
Not relapse
[5] array · 9 items
[0]
Patient 4
[1]
CTCL
[2]
≥ 60
[3]
Male
[4]
USA
[5]
CDS
[6]
g.1307G>A, g.796dup, and g.732 C>A
[7]
–
[8]
Alive
[6] array · 9 items
[0]
Patient 5
[1]
AITL
[2]
–
[3]
Female
[4]
USA
[5]
CDS
[6]
g.811 C>T
[7]
–
[8]
Alive
[7] array · 9 items
[0]
Patient 6
[1]
CTCL
[2]
67
[3]
Male
[4]
USA
[5]
CDS
[6]
g.-15-1829_-15-1814del
[7]
–
[8]
–
[8] array · 9 items
[0]
Patient 7
[1]
ATLL
[2]
56
[3]
Male
[4]
Japan
[5]
CDS
[6]
g.318dup
[7]
–
[8]
–
[9] array · 9 items
[0]
Patient 8
[1]
CTCL
[2]
–
[3]
Female
[4]
USA
[5]
CDS
[6]
g.380T>G
[7]
–
[8]
–
[10] array · 9 items
[0]
Patient 9
[1]
ATLL
[2]
–
[3]
–
[4]
Japan
[5]
CDS
[6]
g.1616_1617insT
[7]
–
[8]
–
[11] array · 9 items
[0]
Patient 10
[1]
ATLL
[2]
–
[3]
–
[4]
Japan
[5]
CDS
[6]
g.1439_1440dup
[7]
–
[8]
–
[12] array · 9 items
[0]
Patient 11
[1]
ATLL
[2]
79
[3]
Female
[4]
Japan
[5]
CDS
[6]
g.1667dup
[7]
–
[8]
–
[13] array · 9 items
[0]
Patient 12
[1]
ATLL
[2]
–
[3]
–
[4]
Japan
[5]
CDS
[6]
g.1166 C>T
[7]
–
[8]
–
[14] array · 1 item
[0]
GSE15842 dataset
[15] array · 9 items
[0]
Patient 13
[1]
PTCL-NOS
[2]
–
[3]
–
[4]
Germany
[5]
Intron
[6]
rs582757
[7]
–
[8]
–
[16] array · 9 items
[0]
Patient 14
[1]
PTCL-NOS
[2]
–
[3]
–
[4]
Germany
[5]
Intron
[6]
rs582757
[7]
–
[8]
–
[17] array · 1 item
[0]
JNU dataset
[18] array · 9 items
[0]
Patient 15
[1]
T-LBL
[2]
69
[3]
Female
[4]
China
[5]
Promoter
[6]
g.3918 C>T
[7]
98.9
[8]
Death
[19] array · 9 items
[0]
Patient 16
[1]
CTCL
[2]
36
[3]
Male
[4]
China
[5]
Promoter
[6]
g.3918 C>T and g.3637 T>A
[7]
58.8
[8]
Death
[20] array · 9 items
[0]
Patient 17
[1]
T-LBL
[2]
19
[3]
Male
[4]
China
[5]
3’UTR
[6]
g.3869 C>G
[7]
94.3
[8]
Alive
[21] array · 9 items
[0]
Patient 18
[1]
T-LGLL
[2]
27
[3]
Male
[4]
China
[5]
Intron
[6]
g.13751 A>C
[7]
97.1
[8]
Alive
[22] array · 9 items
[0]
Patient 19
[1]
T-LGLL
[2]
40
[3]
Female
[4]
China
[5]
Intron
[6]
g.13751 A>C
[7]
118.5
[8]
Alive
[23] array · 9 items
[0]
Patient 20
[1]
T-LGLL
[2]
50
[3]
Female
[4]
China
[5]
Intron
[6]
g.13751 A>C, g.14244 C>T, and g.11822T>C
[7]
102.4
[8]
Alive
locator
section[9]/table-wrap[1]#Tab2
gaps array · 2 items
[0]
asset:data:geo:GSE15842 not downloaded
[1]
asset:data:geo:GSE15842 licence not read
analysis object · 4 fields
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quote
Kaplan–Meier curves were plotted by the R package “survival’’, which was compared using the log-rank test [25, 26]. The R package “survRM2’’ was also used to determine the restricted mean survival time (RMST) [27].
[1] object · 10 fields
id
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survival_analysis
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time_to_event_with_censoring
evidence object · 3 fields
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id
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survival_analysis
specific
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Survival analysis
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evidence object · 3 fields
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log-rank
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capability_id
capability:computational_analysis
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candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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restricted_mean_survival
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: restricted_mean_survival.
capability object · 4 fields
tier
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capability_id
capability:computational_analysis
availability_state
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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
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statements array · 1 item
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The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE15842 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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MiniMax-M3.1-Flash
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minimax
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minimax
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independence
single_reader
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paper
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source:pmid:34526012
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PMID 34526012 full text
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GEO GSE15842
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Kaplan–Meier curves were plotted by the R package “survival’’, which was compared using the log-rank test [25, 26]. The R package “survRM2’’ was also used to determine the restricted mean survival time (RMST) [27].
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34526012", "kind": "science-record", "revision": 7, "content_hash": "sha256:e4819dd21de51bcda84709b5c7d0e336d3424990afe83592d46e8aa1fed52c8f", "created_at": "2026-11-01T15:41:52Z", "updated_at": "2026-11-01T22:47:30Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "TNFAIP3 mutation may be associated with favorable overall survival for patients with T-cell lymphoma.", "doi": "10.1186/s12935-021-02191-5", "pmid": "34526012", "authors": ["Cunte Chen", "Zheng Chen", "Ling Huang", "Lingling Zhou", "Lihua Zhu", "Sichu Liu", "Gengxin Luo", "Wenyu Li", "Chengwu Zeng", "Yangqiu Li"], "journal": "Cancer cell international", "year": 2021, "abstract": "BACKGROUND: T-cell lymphoma (TCL) is highly aggressive and has a poor prognosis; thus, it is worth exploring biomarkers that may predict clinical outcomes and investigate their potential role in developing targeted therapies. In this study, we characterized the mutation pattern of tumor necrosis factor-alpha-inducing protein 3 (TNFAIP3) and its role in the prognosis of TCL patients.\nMETHODS: Coding sequence (CDS) mutations in TNFAIP3 in TCL patients was explored using exome-sequencing data from 79 patients in our center (Guangdong Provincial People's Hospital, GDPH) and 544 samples from the Catalogue of Somatic Mutations in Cancer (COSMIC) database. Additionally, non-CDS mutations in TNFAIP3 in 41 TCL patients from our center (JNU) were investigated by polymerase chain reaction (PCR) and Sanger sequencing. Furthermore, non-CDS mutations in TNFAIP3 in 47 TCL patients from Gene Expression Omnibus (GEO) dataset were explored.\nRESULTS: In the COSMIC database, TNFAIP3 mutations in TCL patients were located in the CDS, and the overall mutation frequency was 2.2%. However, TNFAIP3 mutations were not detected in the CDS of any of the samples in our center's datasets. Interestingly, non-CDS TNFAIP3 mutations were found in 14.6% and 4.3% of TCL patients in the JNU and GSE15842 dataset, respectively. Importantly, there was a clear trend showing that TCL patients with a TNFAIP3 mutation were associated with a longer 5-year restricted mean survival time (RMST) and favorable OS rate compared with those without a TNFAIP3 mutation in the JNU dataset [hazard ratio (HR) = 0.29, 95% confidence interval (CI) 0.07 to 1.31, P = 0.089]. Furthermore, TNFAIP3 mutations significantly correlated with T-cell large granular lymphocytic leukemia (T-LGLL) with a favorable prognosis in the JNU dataset (P = 0.002). Notably, the different mutation patterns of TNFAIP3 when comparing our center and the COSMIC datasets might be due to different ethnic and genetic backgrounds.\nCONCLUSIONS: To the best of our knowledge, we for the first time describe that TNFAIP3 mutations in non-CDS regions are associated with favorable OS for TCL patients, which might be a potential biomarker for the prognostic stratification of Chinese TCL patients.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier curves were plotted by the R package “survival’’, which was compared using the log-rank test [25, 26]. The R package “survRM2’’ was also used to determine the restricted mean survival time (RMST) [27].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34526012", "locator": "sections[7] \"Statistical analysis\" paragraph 2", "quote": "Kaplan–Meier curves were plotted by the R package “survival’’, which was compared using the log-rank test [25, 26]. The R package “survRM2’’ was also used to determine the restricted mean survival time (RMST) [27]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). 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:34526012", "locator": "sections[19] \"Availability of data and materials\" paragraph 2", "quote": "The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). 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:34526012"], "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:GSE15842"], "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:GSE15842"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34526012", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12935-021-02191-5", "sha256": "sha256:cf5b07e8a947d2f623846972fb7d6d2f65a83fc5058a47684f27c808cc25ea7a", "bytes": 33788, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12935-021-02191-5", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8444556", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE15842", "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=GSE15842", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE15842", "version": null, "note": "The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The COSMIC data used in this study were acquired from the COSMIC database (https://cancer.sanger.ac.uk/cosmic). 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"media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a3dd475e234a0655009db5baa4ab38397341133f75a166fa30f962b236f5e474", "bytes": 2076, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#Tab2", "version": null, "note": "Clinical characteristics of T-cell lymphoma patients with a TNFAIP3 mutation", "structure": {"pmcid": "PMC8444556", "section_index": 9, "section_title": "Mutation pattern of TNFAIP3 in TCL", "row_count": 24, "column_count": 9}, "table": {"label": "Table 2", "caption": "Clinical characteristics of T-cell lymphoma patients with a TNFAIP3 mutation", "rows": [["Sample ID", "Histological subtype", "Age, y", "Gender", "Country", "Mutation sites", "TNFAIP3 mutation", "OS time (months)", "Clinical outcome"], ["COSMIC dataset"], ["Patient 1", "PTCL-NOS", "< 60", "Female", "USA", "CDS", "g.305 A>G", "–", "Not relapse"], ["Patient 2", "PTCL-NOS", "≥ 60", "Female", "USA", 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