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pmid:32461965

The SLC Family Are Candidate Diagnostic and Prognostic Biomarkers in Clear Cell Renal Cell Carcinoma.

Weiting Kang · Meng Zhang · Qiang Wang · Da Gu · Zhilong Huang · Hanbo Wang · Yuzhu Xiang · Qinghua Xia · Zilian Cui · Xunbo Jin

BioMed research international · 2020 doi:10.1155/2020/1932948

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complete

Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:32461965
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science-record
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sha256:e43d90bd4f789bf52f59009e7259ff77a258d301ab6a37bcb5a2b93e4f83e425
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2026-11-01T15:41:02Z
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2026-11-01T22:01:41Z
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paper object · 10 fields
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title
The SLC Family Are Candidate Diagnostic and Prognostic Biomarkers in Clear Cell Renal Cell Carcinoma.
doi
10.1155/2020/1932948
pmid
32461965
authors array · 10 items
[0]
Weiting Kang
[1]
Meng Zhang
[2]
Qiang Wang
[3]
Da Gu
[4]
Zhilong Huang
[5]
Hanbo Wang
[6]
Yuzhu Xiang
[7]
Qinghua Xia
[8]
Zilian Cui
[9]
Xunbo Jin
journal
BioMed research international
year
2020
abstract
Clear cell renal cell carcinoma (ccRCC) is the most common lethal subtype of renal cancer, and changes in tumor metabolism play a key role in its development. Solute carriers (SLCs) are important in the transport of small molecules in humans, and defects in SLC transporters can lead to serious diseases. The expression patterns and prognostic values of SLC family transporters in the development of ccRCC are still unclear. The current study analyzed the expression levels of SLC family members and their correlation with prognosis in ccRCC patients with data from Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), The Cancer Genome Atlas (TCGA), cBioPortal, the Human Protein Atlas (HPA), the International Cancer Genome Consortium (ICGC), and the Gene Expression Omnibus (GEO). We found that the mRNA expression levels of SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were significantly lower in ccRCC tissues than in normal tissues and the protein expression levels of SLC22A6, SLC22A7, SLC22A13, and SLC34A1 were also significantly lower. Except for SLC22A7, the expression levels of SLC22A6, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were correlated with the clinical stage of ccRCC patients. The lower the expression levels of SLC22A6, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were, the later the clinical stage of ccRCC patients was. Further experiments revealed that the expression levels of SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were significantly associated with overall survival (OS) and disease-free survival (DFS) in ccRCC patients. High SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 expression predicted improved OS and DFS. Finally, GSE53757 and ICGC were used to revalidate the differential expression and clinical prognostic value. This study suggests that SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 may be potential targets for the clinical diagnosis, prognosis, and treatment of ccRCC patients.
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sections[26] "Data Availability" paragraph 2
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The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
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The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
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GSM1300203
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GSM1300204
[143]
GSM1300205
sample_count
144
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null
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null
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570
taxon
Homo sapiens
title
Gene array analysis of clear cell renal cell carcinoma tissue versus matched normal kidney tissue
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2026-11-01T15:39:54Z
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identifier_resolution_only_no_download_no_licence_read
downloaded
false
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[2] object · 16 fields
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asset:table:pmid:32461965:1
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Statistical table of tissues stained with SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4. All slides were retrieved from the HPA. Compare the expression level in cancer and normal tissue from the aspects of staining, intensity, and quantity. P < 0.01 meant the difference was statistically significant.
structure object · 5 fields
pmcid
PMC7212275
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15
section_title
3.4. The Differential Expression of SLC Family Proteins Was Detected by Immunohistochemistry
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25
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20
table object · 8 fields
label
Table 1
caption
Statistical table of tissues stained with SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4. All slides were retrieved from the HPA. Compare the expression level in cancer and normal tissue from the aspects of staining, intensity, and quantity. P < 0.01 meant the difference was statistically significant.
rows array · 25 items
[0] array · 7 items
[0]
[1]
SLC22A6
[2]
SLC22A7
[3]
SLC22A13
[4]
SLC25A4
[5]
SLC34A1
[6]
SLC44A4
[1] array · 18 items
[0]
Normal
[1]
Cancer
[2]
P value
[3]
Normal
[4]
Cancer
[5]
P value
[6]
Normal
[7]
Cancer
[8]
P value
[9]
Normal
[10]
Cancer
[11]
P value
[12]
Normal
[13]
Cancer
[14]
P value
[15]
Normal
[16]
Cancer
[17]
P value
[2] array · 19 items
[0]
No. of patients
[1]
3
[2]
15
[3]
[4]
3
[5]
11
[6]
[7]
3
[8]
12
[9]
[10]
3
[11]
12
[12]
[13]
4
[14]
16
[15]
[16]
4
[17]
17
[18]
[3] array · 1 item
[0]
[4] array · 19 items
[0]
No. of samples
[1]
6
[2]
49
[3]
[4]
3
[5]
21
[6]
[7]
6
[8]
47
[9]
[10]
3
[11]
23
[12]
[13]
6
[14]
43
[15]
[16]
6
[17]
38
[18]
[5] array · 1 item
[0]
[6] array · 20 items
[0]
Gender
[1]
Male
[2]
2
[3]
8
[4]
[5]
2
[6]
6
[7]
[8]
1
[9]
6
[10]
[11]
2
[12]
6
[13]
[14]
3
[15]
8
[16]
[17]
3
[18]
8
[19]
[7] array · 19 items
[0]
Female
[1]
1
[2]
7
[3]
[4]
1
[5]
5
[6]
[7]
2
[8]
6
[9]
[10]
1
[11]
6
[12]
[13]
1
[14]
8
[15]
[16]
1
[17]
9
[18]
[8] array · 1 item
[0]
[9] array · 19 items
[0]
Age (years)
[1]
41-73
[2]
56-89
[3]
[4]
16-70
[5]
52-77
[6]
[7]
1-41
[8]
52-77
[9]
[10]
41-73
[11]
56-80
[12]
[13]
1-73
[14]
59-89
[15]
[16]
1-61
[17]
52-80
[18]
[10] array · 1 item
[0]
[11] array · 20 items
[0]
Staining
[1]
Not detected
[2]
0
[3]
13.5
[4]
P < 0.001
[5]
0
[6]
10
[7]
P = 0.005
[8]
0
[9]
11
[10]
P = 0.004
[11]
3
[12]
7
[13]
P = 0.295
[14]
0
[15]
12.5
[16]
P < 0.001
[17]
2
[18]
15.333
[19]
P = 0.237
[12] array · 13 items
[0]
Low
[1]
0
[2]
1.5
[3]
0
[4]
1
[5]
0
[6]
0.5
[7]
0
[8]
5
[9]
0
[10]
2.5
[11]
0
[12]
0.667
[13] array · 13 items
[0]
Medium
[1]
1.5
[2]
0
[3]
3
[4]
0
[5]
0
[6]
0.5
[7]
0
[8]
0
[9]
4
[10]
0
[11]
2
[12]
1
[14] array · 13 items
[0]
High
[1]
1.5
[2]
0
[3]
0
[4]
0
[5]
3
[6]
0
[7]
0
[8]
0
[9]
0
[10]
0
[11]
0
[12]
0
[15] array · 1 item
[0]
[16] array · 20 items
[0]
Intensity
[1]
Negative
[2]
0
[3]
13
[4]
P = 0.001
[5]
0
[6]
7
[7]
P = 0.011
[8]
0
[9]
11
[10]
P = 0.007
[11]
0
[12]
5
[13]
P = 0.295
[14]
0
[15]
10.5
[16]
P = 0.001
[17]
2
[18]
14.167
[19]
P = 0.275
[17] array · 13 items
[0]
Weak
[1]
0
[2]
2
[3]
0
[4]
3
[5]
0
[6]
0
[7]
3
[8]
7
[9]
0
[10]
4
[11]
0
[12]
1.833
[18] array · 13 items
[0]
Moderate
[1]
1.5
[2]
0
[3]
3
[4]
1
[5]
0
[6]
0.5
[7]
0
[8]
0
[9]
2
[10]
0.5
[11]
2
[12]
1
[19] array · 13 items
[0]
Strong
[1]
1.5
[2]
0
[3]
0
[4]
0
[5]
3
[6]
0.5
[7]
0
[8]
0
[9]
2
[10]
0
[11]
0
[12]
0
[20] array · 1 item
[0]
[21] array · 20 items
[0]
Quantity:
[1]
None
[2]
0
[3]
13
[4]
P = 0.005
[5]
0
[6]
7
[7]
P = 0.005
[8]
0
[9]
11
[10]
P = 0.001
[11]
0
[12]
5
[13]
P = 1.000
[14]
0
[15]
10.5
[16]
P = 0.016
[17]
2
[18]
14.167
[19]
P = 0.362
[22] array · 13 items
[0]
<25%
[1]
0
[2]
0.5
[3]
0
[4]
4
[5]
0
[6]
1
[7]
3
[8]
2
[9]
2
[10]
2.5
[11]
0
[12]
1.167
[23] array · 13 items
[0]
25%-75%
[1]
1.5
[2]
0.5
[3]
3
[4]
0
[5]
1.5
[6]
0
[7]
0
[8]
2
[9]
0
[10]
2
[11]
2
[12]
0.667
[24] array · 13 items
[0]
>75%
[1]
1.5
[2]
1
[3]
0
[4]
0
[5]
1.5
[6]
0
[7]
0
[8]
3
[9]
2
[10]
0
[11]
0
[12]
1
locator
section[15]/table-wrap[1]#tab1
gaps array · 2 items
[0]
asset:data:geo:GSE53757 not downloaded
[1]
asset:data:geo:GSE53757 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
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Survival analysis
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[0]
survival_km
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
0.8
band
high
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
log_rank_test
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Survival analysis
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[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
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0.8
band
high
quote
Logrank
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id
method-3
family
network_analysis
specific
ppi_network
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Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
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edge_list
evidence object · 3 fields
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0.8
band
high
quote
Protein-Protein Interaction
[3] object · 10 fields
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method-4
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network_analysis
specific
pathway_enrichment
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Network / pathway analysis
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[0]
pathway_enrich
missing_operations array · 0 items
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[0]
edge_list
evidence object · 3 fields
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0.8
band
high
quote
GO enrichment
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gaps array · 0 items
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state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
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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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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]
survival_km
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: kaplan_meier.
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 · 1 item
[0]
GSE53757
resolved_accessions array · 1 item
[0]
GSE53757
statements array · 1 item
[0]
The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE53757 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]
survival_km
assets array · 3 items
[0]
source:pmid:32461965
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data:geo:GSE53757
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asset:table:pmid:32461965:1
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run_analysis
must_build object · 5 fields
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converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE53757
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
2026-10-31T19:03:00Z
independence
single_reader
evidence_check object · 2 fields
method
absent
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
44203
completion_tokens
2736
cached_tokens
528
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
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absent
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not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
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id
pmid:32461965
type
paper
label
pmid:32461965
[1] object · 3 fields
id
source:pmid:32461965
type
manuscript
label
PMID 32461965 full text
[2] object · 3 fields
id
data:geo:GSE53757
type
dataset
label
GEO GSE53757
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:32461965
type
paper
label
pmid:32461965
[1] object · 3 fields
id
source:pmid:32461965
type
manuscript
label
PMID 32461965 full text
[2] object · 3 fields
id
data:geo:GSE53757
type
dataset
label
GEO GSE53757
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32461965
type
extraction
used array · 1 item
[0]
source:pmid:32461965
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE53757
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE53757
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
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software
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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:32461965
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sha256:a638822bfc2cd619ffc0285d6835f52e301b870285caeadcd12f9a21c998617b
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE53757 licence not read
[1]
asset:data:geo:GSE53757 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
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support_state
partial
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assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
n Cancer (GISTIC), mRNA expression Z-scores (RNASeq V2 RSEM), and protein expression Z-scores (R
[1]
ofile was selected mRNA expression Z-scores (RNASeq V2 RSEM). Then, we used the bioconductor “ph
order_basis
paper_text_order:2829
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
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survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier
order_basis
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assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32461965", "kind": "science-record", "revision": 7, "content_hash": "sha256:e43d90bd4f789bf52f59009e7259ff77a258d301ab6a37bcb5a2b93e4f83e425", "created_at": "2026-11-01T15:41:02Z", "updated_at": "2026-11-01T22:01:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The SLC Family Are Candidate Diagnostic and Prognostic Biomarkers in Clear Cell Renal Cell Carcinoma.", "doi": "10.1155/2020/1932948", "pmid": "32461965", "authors": ["Weiting Kang", "Meng Zhang", "Qiang Wang", "Da Gu", "Zhilong Huang", "Hanbo Wang", "Yuzhu Xiang", "Qinghua Xia", "Zilian Cui", "Xunbo Jin"], "journal": "BioMed research international", "year": 2020, "abstract": "Clear cell renal cell carcinoma (ccRCC) is the most common lethal subtype of renal cancer, and changes in tumor metabolism play a key role in its development. Solute carriers (SLCs) are important in the transport of small molecules in humans, and defects in SLC transporters can lead to serious diseases. The expression patterns and prognostic values of SLC family transporters in the development of ccRCC are still unclear. The current study analyzed the expression levels of SLC family members and their correlation with prognosis in ccRCC patients with data from Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), The Cancer Genome Atlas (TCGA), cBioPortal, the Human Protein Atlas (HPA), the International Cancer Genome Consortium (ICGC), and the Gene Expression Omnibus (GEO). We found that the mRNA expression levels of SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were significantly lower in ccRCC tissues than in normal tissues and the protein expression levels of SLC22A6, SLC22A7, SLC22A13, and SLC34A1 were also significantly lower. Except for SLC22A7, the expression levels of SLC22A6, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were correlated with the clinical stage of ccRCC patients. The lower the expression levels of SLC22A6, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were, the later the clinical stage of ccRCC patients was. Further experiments revealed that the expression levels of SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 were significantly associated with overall survival (OS) and disease-free survival (DFS) in ccRCC patients. High SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 expression predicted improved OS and DFS. Finally, GSE53757 and ICGC were used to revalidate the differential expression and clinical prognostic value. This study suggests that SLC22A6, SLC22A7, SLC22A13, SLC25A4, SLC34A1, and SLC44A4 may be potential targets for the clinical diagnosis, prognosis, and treatment of ccRCC patients.", "claims": [{"id": "claim-data-access", "statement": "The datasets used and analysed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32461965", "locator": "sections[26] \"Data Availability\" paragraph 2", "quote": "The datasets used and analysed 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:32461965"], "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:GSE53757"], "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:GSE53757"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32461965", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2020/1932948", "sha256": "sha256:2abe6d8eb7352b0778caaf03a70111cbb84208a6fa101d1fe79fe8e48dcb951c", "bytes": 51444, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2020/1932948", "version": null, "note": "Full article fetched from PMC; 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