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pmid:33632211

SLC7A7 is a prognostic biomarker correlated with immune infiltrates in non-small cell lung cancer.

Wumin Dai · Jianguo Feng · Xiao Hu · Yongyi Chen · Qing Gu · Wangang Gong · Tingting Feng · Jie Wu

Cancer cell international · 2021 doi:10.1186/s12935-021-01781-7

Paper

complete

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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1.2
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pmid:33632211
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science-record
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7
content_hash
sha256:ed701eb5a533db4abbfe6a372ef584b2ae40c156558c82a797604404637d8687
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:26Z
updated_at
2026-11-01T22:03:12Z
generator object · 2 fields
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corpus-assay-engine
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reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
SLC7A7 is a prognostic biomarker correlated with immune infiltrates in non-small cell lung cancer.
doi
10.1186/s12935-021-01781-7
pmid
33632211
authors array · 8 items
[0]
Wumin Dai
[1]
Jianguo Feng
[2]
Xiao Hu
[3]
Yongyi Chen
[4]
Qing Gu
[5]
Wangang Gong
[6]
Tingting Feng
[7]
Jie Wu
journal
Cancer cell international
year
2021
abstract
BACKGROUND: SLC7A7 (solute carrier family 7, amino acid transporter light chain, y + L system, member 7) is a critical gene in the regulation of cationic amino acid transport. However, the relationships between SLC7A7 and prognosis and tumor-infiltrating lymphocytes in different cancers remain unclear. METHODS: SLC7A7 expression was analyzed using the Oncomine database and Tumor Immune Estimation Resource (TIMER) site. The enrichment of the GO (Gene Oncology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways was conducted by DAVID. We evaluated the influence of SLC7A7 on clinical prognosis using the PrognoScan database. The functional state of SLC7A7 in various types of cancers was analyzed by CancerSEA. The relationships between SLC7A7 and cancer immune infiltrates was investigated by TIMER. Furthermore, correlations between SLC7A7 expression and gene marker sets of immune infiltrates were analyzed by TIMER and Gene Expression Profiling Interactive Analysis (GEPIA). The expression of SLC7A7 was verified by GEO database and immunohistochemistry. RESULTS: A lung cancer cohort study (GSE31210) showed that high SLC7A7 expression was associated with poor overall survival (OS) and relapse-free survival (RFS). In addition, SLC7A7 had a significant impact on the prognosis of diverse cancers. SLC7A7 expression was positively correlated with infiltrating levels of CD4 + and CD8 + T cells, macrophages, neutrophils and dendritic cells (DCs) in non-small cell lung cancer (NSCLC). SLC7A7 expression was also strongly correlated with various immune marker sets in NSCLC. CONCLUSIONS: These results indicated a role for SLC7A7 in infiltration of CD8 + T cells, CD4 + T cells, tumor-associated macrophages (TAMs), neutrophils and DCs in multiple cancers, and regulation of T cell exhaustion and Tregs in NSCLC. These findings suggest that SLC7A7 could be served as a biomarker for prognosis and immune infiltration in NSCLC.
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[0] object · 6 fields
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claim-method
statement
The correlation between SLC7A7 expression and survival in various cancer types was determined by Cox proportional hazards analysis using data from the PrognoScan database (http://www.abren.net/PrognoScan/; [17].
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
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source:pmid:33632211
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sections[5] "PrognoScan database analysis" paragraph 2
quote
The correlation between SLC7A7 expression and survival in various cancer types was determined by Cox proportional hazards analysis using data from the PrognoScan database (http://www.abren.net/PrognoScan/; [17].
state
complete
[1] object · 6 fields
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
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null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33632211
locator
sections[27] "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.
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Read the published estimate from the source
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The claim, method and evidence span published with the source article.
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source:pmid:33632211
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the published estimate and its evidence
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Obtain the source data from the named repository
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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https://doi.org/10.1186/s12935-021-01781-7
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PMC7905560
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Correlation analysis between SLC7A7 and relate genes and markers of immune cells in TIMER
structure object · 5 fields
pmcid
PMC7905560
section_index
18
section_title
Correlation analysis between SLC7A7 expression and immune marker sets
row_count
60
column_count
10
table object · 8 fields
label
Table 1
caption
Correlation analysis between SLC7A7 and relate genes and markers of immune cells in TIMER
rows array · 60 items
[0] array · 4 items
[0]
Description
[1]
Gene markers
[2]
LUAD
[3]
LUSC
[1] array · 4 items
[0]
None
[1]
Purity
[2]
None
[3]
Purity
[2] array · 8 items
[0]
Cor
[1]
P
[2]
Cor
[3]
P
[4]
Cor
[5]
P
[6]
Cor
[7]
P
[3] array · 10 items
[0]
CD8 + T cell
[1]
CD8A
[2]
0.52
[3]
***
[4]
0.402
[5]
***
[6]
0.723
[7]
***
[8]
0.683
[9]
***
[4] array · 9 items
[0]
CD8B
[1]
0.444
[2]
***
[3]
0.355
[4]
***
[5]
0.55
[6]
***
[7]
0.538
[8]
***
[5] array · 10 items
[0]
T cell (general)
[1]
CD3D
[2]
0.545
[3]
***
[4]
0.416
[5]
***
[6]
0.765
[7]
***
[8]
0.699
[9]
***
[6] array · 9 items
[0]
CD3E
[1]
0.569
[2]
***
[3]
0.437
[4]
***
[5]
0.797
[6]
***
[7]
0.734
[8]
***
[7] array · 9 items
[0]
CD2
[1]
0.604
[2]
***
[3]
0.489
[4]
***
[5]
0.812
[6]
***
[7]
0.759
[8]
**
[8] array · 10 items
[0]
B cell
[1]
CD19
[2]
0.313
[3]
***
[4]
0.13
[5]
**
[6]
0.539
[7]
***
[8]
0.389
[9]
***
[9] array · 9 items
[0]
CD79A
[1]
0.299
[2]
***
[3]
0.125
[4]
**
[5]
0.586
[6]
***
[7]
0.449
[8]
***
[10] array · 10 items
[0]
Monocyte
[1]
CD86
[2]
0.793
[3]
***
[4]
0.743
[5]
***
[6]
0.897
[7]
***
[8]
0.863
[9]
***
[11] array · 9 items
[0]
CSF1R
[1]
0.725
[2]
***
[3]
0.67
[4]
***
[5]
0.897
[6]
***
[7]
0.86
[8]
***
[12] array · 10 items
[0]
TAM
[1]
CCL2
[2]
0.455
[3]
***
[4]
0.371
[5]
***
[6]
0.634
[7]
***
[8]
0.57
[9]
***
[13] array · 9 items
[0]
CD68
[1]
0.797
[2]
***
[3]
0.758
[4]
***
[5]
0.795
[6]
***
[7]
0.75
[8]
***
[14] array · 9 items
[0]
IL10
[1]
0.619
[2]
***
[3]
0.53
[4]
***
[5]
0.714
[6]
***
[7]
0.672
[8]
***
[15] array · 10 items
[0]
M1 Macrophage
[1]
NOS2
[2]
0.078
[3]
0.0817
[4]
0.157
[5]
***
[6]
− 0.013
[7]
0.767
[8]
0.004
[9]
0.926
[16] array · 9 items
[0]
IRF5
[1]
0.441
[2]
***
[3]
0.514
[4]
***
[5]
0.156
[6]
**
[7]
0.111
[8]
*
[17] array · 9 items
[0]
PTGS2
[1]
− 0.15
[2]
***
[3]
− 0.13
[4]
**
[5]
0.044
[6]
0.324
[7]
− 0.055
[8]
0.23
[18] array · 10 items
[0]
M2 Macrophage
[1]
CD163
[2]
0.654
[3]
***
[4]
0.713
[5]
***
[6]
0.865
[7]
***
[8]
0.834
[9]
***
[19] array · 9 items
[0]
VSIG4
[1]
0.732
[2]
***
[3]
0.763
[4]
***
[5]
0.883
[6]
***
[7]
0.863
[8]
***
[20] array · 9 items
[0]
MS4A4A
[1]
0.733
[2]
***
[3]
0.777
[4]
***
[5]
0.898
[6]
***
[7]
0.876
[8]
***
[21] array · 10 items
[0]
Neutrophils
[1]
CEACAM8
[2]
0.266
[3]
***
[4]
0.226
[5]
***
[6]
0.129
[7]
**
[8]
0.113
[9]
*
[22] array · 9 items
[0]
ITGAM
[1]
0.66
[2]
***
[3]
0.71
[4]
***
[5]
0.779
[6]
***
[7]
0.71
[8]
***
[23] array · 9 items
[0]
CCR7
[1]
0.29
[2]
***
[3]
0.45
[4]
***
[5]
0.659
[6]
***
[7]
0.556
[8]
***
[24] array · 9 items
[0]
KIR2DL1
[1]
0.105
[2]
*
[3]
0.156
[4]
**
[5]
0.306
[6]
**
[7]
0.268
[8]
***
[25] array · 9 items
[0]
KIR2DL3
[1]
0.185
[2]
***
[3]
0.279
[4]
***
[5]
0.367
[6]
**
[7]
0.327
[8]
***
[26] array · 9 items
[0]
KIR2DL4
[1]
0.204
[2]
***
[3]
0.281
[4]
***
[5]
0.403
[6]
***
[7]
0.345
[8]
***
[27] array · 9 items
[0]
KIR3DL1
[1]
0.151
[2]
***
[3]
0.213
[4]
***
[5]
0.467
[6]
***
[7]
0.432
[8]
***
[28] array · 9 items
[0]
KIR3DL2
[1]
0.163
[2]
***
[3]
0.251
[4]
***
[5]
0.455
[6]
***
[7]
0.402
[8]
***
[29] array · 9 items
[0]
KIR3DL3
[1]
0.049
[2]
0.274
[3]
0.075
[4]
0.091
[5]
0.143
[6]
**
[7]
0.139
[8]
**
[30] array · 9 items
[0]
KIR2DS4
[1]
0.088
[2]
0.050
[3]
0.17
[4]
***
[5]
0.338
[6]
***
[7]
0.317
[8]
**
[31] array · 10 items
[0]
Dendritic cell
[1]
HLA-DPB1
[2]
0.602
[3]
***
[4]
0.521
[5]
***
[6]
0.893
[7]
***
[8]
0.858
[9]
***
[32] array · 9 items
[0]
HLA-DQB1
[1]
0.41
[2]
***
[3]
0.306
[4]
***
[5]
0.703
[6]
***
[7]
0.641
[8]
***
[33] array · 9 items
[0]
HLA-DRA
[1]
0.628
[2]
***
[3]
0.553
[4]
***
[5]
0.905
[6]
***
[7]
0.88
[8]
***
[34] array · 9 items
[0]
HLA-DPA1
[1]
0.612
[2]
***
[3]
0.539
[4]
***
[5]
0.904
[6]
***
[7]
0.878
[8]
***
[35] array · 9 items
[0]
CD1C
[1]
0.32
[2]
***
[3]
0.236
[4]
***
[5]
0.54
[6]
***
[7]
0.37
[8]
***
[36] array · 9 items
[0]
NRP1
[1]
0.175
[2]
***
[3]
0.142
[4]
**
[5]
0.581
[6]
***
[7]
0.494
[8]
***
[37] array · 9 items
[0]
ITGAX
[1]
0.694
[2]
***
[3]
0.615
[4]
***
[5]
0.767
[6]
***
[7]
0.677
[8]
***
[38] array · 10 items
[0]
Th1
[1]
TBX21
[2]
0.5
[3]
***
[4]
0.368
[5]
***
[6]
0.695
[7]
***
[8]
0.615
[9]
***
[39] array · 9 items
[0]
STAT4
[1]
0.455
[2]
***
[3]
0.325
[4]
***
[5]
0.704
[6]
***
[7]
0.612
[8]
***
[40] array · 9 items
[0]
STAT1
[1]
0.465
[2]
***
[3]
0.377
[4]
***
[5]
0.529
[6]
***
[7]
0.493
[8]
***
[41] array · 9 items
[0]
IFN-γ (IFNG)
[1]
0.45
[2]
***
[3]
0.344
[4]
***
[5]
0.524
[6]
***
[7]
0.489
[8]
***
[42] array · 9 items
[0]
TNF-α (TNF)
[1]
0.396
[2]
***
[3]
0.269
[4]
***
[5]
0.363
[6]
***
[7]
0.221
[8]
***
[43] array · 10 items
[0]
Th2
[1]
GATA3
[2]
0.313
[3]
***
[4]
0.438
[5]
***
[6]
0.345
[7]
***
[8]
0.251
[9]
***
[44] array · 9 items
[0]
STAT6
[1]
0.031
[2]
0.488
[3]
0.02
[4]
0.645
[5]
− 0.025
[6]
0.638
[7]
− 0.055
[8]
0.228
[45] array · 9 items
[0]
STAT5A
[1]
0.564
[2]
***
[3]
0.65
[4]
***
[5]
0.645
[6]
***
[7]
0.549
[8]
***
[46] array · 9 items
[0]
IL13
[1]
0.094
[2]
*
[3]
0.177
[4]
***
[5]
0.327
[6]
***
[7]
0.269
[8]
***
[47] array · 10 items
[0]
Tfh
[1]
BCL6
[2]
− 0.141
[3]
**
[4]
− 0.115
[5]
**
[6]
− 0.177
[7]
***
[8]
− 0.15
[9]
***
[48] array · 9 items
[0]
IL21
[1]
0.207
[2]
***
[3]
0.276
[4]
***
[5]
0.421
[6]
***
[7]
0.362
[8]
***
[49] array · 10 items
[0]
Th17
[1]
STAT3
[2]
− 0.095
[3]
*
[4]
− 0.092
[5]
*
[6]
0.162
[7]
***
[8]
0.089
[9]
0.053
[50] array · 9 items
[0]
IL17A
[1]
0.193
[2]
***
[3]
0.267
[4]
***
[5]
0.243
[6]
**
[7]
0.192
[8]
***
[51] array · 10 items
[0]
Treg
[1]
FOXP3
[2]
0.421
[3]
***
[4]
0.537
[5]
***
[6]
0.742
[7]
***
[8]
0.654
[9]
***
[52] array · 9 items
[0]
CCR8
[1]
0.458
[2]
***
[3]
0.578
[4]
***
[5]
0.753
[6]
***
[7]
0.687
[8]
***
[53] array · 9 items
[0]
STAT5B
[1]
0.216
[2]
***
[3]
0.235
[4]
***
[5]
0.133
[6]
**
[7]
0.134
[8]
**
[54] array · 9 items
[0]
TGFβ (TGFB1)
[1]
0.304
[2]
***
[3]
0.394
[4]
***
[5]
0.215
[6]
***
[7]
0.076
[8]
0.097
[55] array · 10 items
[0]
T cell exhaustion
[1]
PD-1 (PDCD1)
[2]
0.356
[3]
***
[4]
0.485
[5]
***
[6]
0.69
[7]
***
[8]
0.612
[9]
***
[56] array · 9 items
[0]
CTLA4
[1]
0.394
[2]
***
[3]
0.531
[4]
***
[5]
0.734
[6]
***
[7]
0.649
[8]
***
[57] array · 9 items
[0]
LAG3
[1]
0.326
[2]
***
[3]
0.434
[4]
***
[5]
0.617
[6]
***
[7]
0.561
[8]
***
[58] array · 9 items
[0]
TIM-3 (HAVCR2)
[1]
0.787
[2]
***
[3]
0.828
[4]
***
[5]
0.95
[6]
***
[7]
0.936
[8]
***
[59] array · 9 items
[0]
GZMB
[1]
0.339
[2]
***
[3]
0.454
[4]
***
[5]
0.639
[6]
***
[7]
0.562
[8]
***
row_count
60
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10
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255
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3
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section[18]/table-wrap[1]#Tab1
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Correlation analysis between SLC7A7 and relate genes and markers of monocyte and macrophages in GEPIA
structure object · 5 fields
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PMC7905560
section_index
18
section_title
Correlation analysis between SLC7A7 expression and immune marker sets
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10
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Table 2
caption
Correlation analysis between SLC7A7 and relate genes and markers of monocyte and macrophages in GEPIA
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[0] array · 4 items
[0]
Description
[1]
Gene markers
[2]
LUAD
[3]
LUSC
[1] array · 4 items
[0]
Tumor
[1]
Normal
[2]
Tumor
[3]
Normal
[2] array · 8 items
[0]
R
[1]
P
[2]
R
[3]
P
[4]
R
[5]
P
[6]
R
[7]
P
[3] array · 10 items
[0]
Monocyte
[1]
CD86
[2]
0.77
[3]
***
[4]
0.43
[5]
***
[6]
0.87
[7]
***
[8]
0.51
[9]
***
[4] array · 9 items
[0]
CD115 (CSF1R)
[1]
0.73
[2]
***
[3]
0.41
[4]
**
[5]
0.89
[6]
***
[7]
0.51
[8]
***
[5] array · 10 items
[0]
TAM
[1]
CCL2
[2]
0.47
[3]
***
[4]
− 0.21
[5]
0.11
[6]
0.63
[7]
***
[8]
− 0.32
[9]
*
[6] array · 9 items
[0]
CD68
[1]
0.77
[2]
***
[3]
0.56
[4]
***
[5]
0.75
[6]
***
[7]
0.67
[8]
***
[7] array · 9 items
[0]
IL10
[1]
0.63
[2]
***
[3]
0.012
[4]
0.93
[5]
0.69
[6]
***
[7]
− 0.12
[8]
0.4
[8] array · 10 items
[0]
M1 Macrophage
[1]
INOS (NOS2)
[2]
0.24
[3]
***
[4]
0.0093
[5]
0.94
[6]
−7E−04
[7]
0.99
[8]
0.12
[9]
0.39
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[0]
IRF5
[1]
0.51
[2]
***
[3]
0.56
[4]
***
[5]
0.12
[6]
**
[7]
0.51
[8]
**
[10] array · 9 items
[0]
COX2 (PTGS2)
[1]
− 0.081
[2]
0.074
[3]
− 0.18
[4]
0.18
[5]
0.053
[6]
0.25
[7]
− 0.14
[8]
0.34
[11] array · 10 items
[0]
M2 Macrophage
[1]
CD163
[2]
0.71
[3]
***
[4]
0.44
[5]
***
[6]
0.86
[7]
***
[8]
0.43
[9]
**
[12] array · 9 items
[0]
VSIG4
[1]
0.76
[2]
***
[3]
0.65
[4]
***
[5]
0.86
[6]
***
[7]
0.74
[8]
***
[13] array · 9 items
[0]
MS4A4A
[1]
0.76
[2]
***
[3]
0.55
[4]
***
[5]
0.87
[6]
***
[7]
0.52
[8]
***
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section[18]/table-wrap[2]#Tab2
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method-1
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survival_analysis
specific
cox_proportional_hazards
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Survival analysis
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cox_ph
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time_to_event_with_censoring
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verbatim
quote
The correlation between SLC7A7 expression and survival in various cancer types was determined by Cox proportional hazards analysis using data from the PrognoScan database (http://www.abren.net/PrognoScan/; [17].
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
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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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n of SLC7A7 was verified by GEO database and immunohistochemistry. RESULTS: A lung cancer cohort study (GSE312
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The correlation between SLC7A7 expression and survival in various cancer types was determined by Cox proportional hazards analysis using data from the PrognoScan database (http://www.abren.net/PrognoScan/; [17].
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33632211", "kind": "science-record", "revision": 7, "content_hash": "sha256:ed701eb5a533db4abbfe6a372ef584b2ae40c156558c82a797604404637d8687", "created_at": "2026-11-01T15:41:26Z", "updated_at": "2026-11-01T22:03:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "SLC7A7 is a prognostic biomarker correlated with immune infiltrates in non-small cell lung cancer.", "doi": "10.1186/s12935-021-01781-7", "pmid": "33632211", "authors": ["Wumin Dai", "Jianguo Feng", "Xiao Hu", "Yongyi Chen", "Qing Gu", "Wangang Gong", "Tingting Feng", "Jie Wu"], "journal": "Cancer cell international", "year": 2021, "abstract": "BACKGROUND: SLC7A7 (solute carrier family 7, amino acid transporter light chain, y + L system, member 7) is a critical gene in the regulation of cationic amino acid transport. However, the relationships between SLC7A7 and prognosis and tumor-infiltrating lymphocytes in different cancers remain unclear.\nMETHODS: SLC7A7 expression was analyzed using the Oncomine database and Tumor Immune Estimation Resource (TIMER) site. The enrichment of the GO (Gene Oncology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways was conducted by DAVID. We evaluated the influence of SLC7A7 on clinical prognosis using the PrognoScan database. The functional state of SLC7A7 in various types of cancers was analyzed by CancerSEA. The relationships between SLC7A7 and cancer immune infiltrates was investigated by TIMER. Furthermore, correlations between SLC7A7 expression and gene marker sets of immune infiltrates were analyzed by TIMER and Gene Expression Profiling Interactive Analysis (GEPIA). The expression of SLC7A7 was verified by GEO database and immunohistochemistry.\nRESULTS: A lung cancer cohort study (GSE31210) showed that high SLC7A7 expression was associated with poor overall survival (OS) and relapse-free survival (RFS). In addition, SLC7A7 had a significant impact on the prognosis of diverse cancers. SLC7A7 expression was positively correlated with infiltrating levels of CD4 + and CD8 + T cells, macrophages, neutrophils and dendritic cells (DCs) in non-small cell lung cancer (NSCLC). SLC7A7 expression was also strongly correlated with various immune marker sets in NSCLC.\nCONCLUSIONS: These results indicated a role for SLC7A7 in infiltration of CD8 + T cells, CD4 + T cells, tumor-associated macrophages (TAMs), neutrophils and DCs in multiple cancers, and regulation of T cell exhaustion and Tregs in NSCLC. 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TIMER", "structure": {"pmcid": "PMC7905560", "section_index": 18, "section_title": "Correlation analysis between SLC7A7 expression and immune marker sets", "row_count": 60, "column_count": 10}, "table": {"label": "Table 1", "caption": "Correlation analysis between SLC7A7 and relate genes and markers of immune cells in TIMER", "rows": [["Description", "Gene markers", "LUAD", "LUSC"], ["None", "Purity", "None", "Purity"], ["Cor", "P", "Cor", "P", "Cor", "P", "Cor", "P"], ["CD8 + T cell", "CD8A", "0.52", "***", "0.402", "***", "0.723", "***", "0.683", "***"], ["CD8B", "0.444", "***", "0.355", "***", "0.55", "***", "0.538", "***"], ["T cell (general)", "CD3D", "0.545", "***", "0.416", "***", "0.765", "***", "0.699", "***"], ["CD3E", "0.569", "***", "0.437", "***", "0.797", "***", "0.734", "***"], ["CD2", "0.604", "***", "0.489", "***", "0.812", "***", "0.759", "**"], ["B cell", "CD19", "0.313", "***", "0.13", "**", "0.539", "***", "0.389", "***"], ["CD79A", "0.299", "***", "0.125", "**", 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