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pmid:27926518

Higher programmed cell death 1 ligand 1 (PD-L1) mRNA level in clear cell renal cell carcinomas is associated with a favorable outcome due to the active immune responses in tumor tissues.

Xiang-Hui Ning · Yan-Qing Gong · Shi-Ming He · Teng Li · Jiang-Yi Wang · Shuang-He Peng · Jin-Chao Chen · Jia-Yuan Liu · Nie-Nie Qi · Ying-Lu Guo · Kan Gong

Oncotarget · 2017 doi:10.18632/oncotarget.13765

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complete

Experiment

complete

Data

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title
Higher programmed cell death 1 ligand 1 (PD-L1) mRNA level in clear cell renal cell carcinomas is associated with a favorable outcome due to the active immune responses in tumor tissues.
doi
10.18632/oncotarget.13765
pmid
27926518
authors array · 11 items
[0]
Xiang-Hui Ning
[1]
Yan-Qing Gong
[2]
Shi-Ming He
[3]
Teng Li
[4]
Jiang-Yi Wang
[5]
Shuang-He Peng
[6]
Jin-Chao Chen
[7]
Jia-Yuan Liu
[8]
Nie-Nie Qi
[9]
Ying-Lu Guo
[10]
Kan Gong
journal
Oncotarget
year
2017
abstract
Renal cell carcinoma is one of the most common urological tumors. The role of programmed cell death 1 ligand 1 (PD-L1) in renal cell carcinomas in predicting outcome of the patients is yet unclear. We analyzed the clinical and RNA-seq data of 522 kidney clear cell cancer, 259 kidney papillary cell carcinoma and 66 kidney chromophobe patients from The Cancer Genome Atlas (TCGA) database. In kidney clear cell cancer patients with high PD-L1 mRNA level and low PD-L1 mRNA level in tumors, the median overall survival periods were 45.0 and 37.1 months respectively (p=0.002). Multivariate Cox regression tests found that PD-L1 mRNA level in tumor was an independent predictor for overall survival status in kidney clear cell cancer patients (HR=0.7, 95% CI 0.5-0.9, p=0.007). However, no significant difference in overall survival status was found between high and low PD-L1 groups in kidney papillary cell carcinoma and kidney chromophobe cohorts. Gene-set enrichment analysis on the data from databases of TCGA and GSE53757 dataset in Gene Expression Omnibus databases showed that several pathways relating to immunological functions were activated in kidney clear cell cancers with high PD-L1 mRNA expression, and glycolysis and epithelial-mesenchymal transition pathways relating to tumor progression and metastasis were increased in kidney clear cell cancers with low PD-L1 mRNA level. In conclusion, higher PD-L1 mRNA level in kidney clear cell cancer tissues was associated with a favorable outcome due to the higher immunological responses in tumor tissues.
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Overall survival was assessed using Kaplan-Meier method and log-rank test.
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sections[11] "Statistical methods" paragraph 2
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Overall survival was assessed using Kaplan-Meier method and log-rank test.
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The data used in this study are opened to public for access without limitation and restriction.
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Using TCGA clinical and RNA-seq data analyzed with multivariate Cox regression, higher tumor PD-L1 mRNA was an independent predictor of longer overall survival in kidney clear cell cancer (HR=0.7, 95% CI 0.5–0.9, p=0.007).
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Multivariate Cox regression tests found that PD-L1 mRNA level in tumor was an independent predictor for overall survival status in kidney clear cell cancer patients (HR=0.7, 95% CI 0.5-0.9, p=0.007).
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we aimed to investigate the role of PD-L1 mRNA expression in tumors in predicting the outcome of RCC based on the analyses of the clinical and RNA-seq data presented in The Cancer Genome Atlas (TCGA) database.
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Multivariate Cox regression tests found that PD-L1 mRNA level in tumor was an independent predictor for overall survival status in kidney clear cell cancer patients (HR=0.7, 95% CI 0.5-0.9, p=0.007).
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Using TCGA clinical and RNA-seq data analyzed with multivariate Cox regression, higher tumor PD-L1 mRNA was an independent predictor of longer overall survival in kidney clear cell cancer (HR=0.7, 95% CI 0.5–0.9, p=0.007).
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Gene array analysis of clear cell renal cell carcinoma tissue versus matched normal kidney tissue
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Patient and tumor characteristics of the three RCC subtype cohorts in TCGA
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PD-L1 mRNA level and survival status
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PD-L1 mRNA level and clinical features of KIRC cohort
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Comparison of clinical characteristics between low PD-L1 group and high PD-L1 group in KIRC cohort
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66 (25.3%)
[2]
57 (21.8%)
[3]
[17] array · 4 items
[0]
Stage IV
[1]
43 (16.5%)
[2]
40 (15.3%)
[3]
[18] array · 4 items
[0]
Tumor stage
[1]
[2]
[3]
0.056
[19] array · 4 items
[0]
T1
[1]
135 (51.7%)
[2]
130 (49.8%)
[3]
[20] array · 4 items
[0]
T2
[1]
26 (10.0%)
[2]
42 (16.1%)
[3]
[21] array · 4 items
[0]
T3
[1]
97 (37.2%)
[2]
81 (31.0%)
[3]
[22] array · 4 items
[0]
T4
[1]
3 (1.1%)
[2]
8 (3.1%)
[3]
[23] array · 4 items
[0]
Lymph node metastasis
[1]
[2]
[3]
0.208
[24] array · 4 items
[0]
N0
[1]
109 (41.8%)
[2]
129 (49.4%)
[3]
[25] array · 4 items
[0]
N1
[1]
9 (3.4%)
[2]
7 (2.7%)
[3]
[26] array · 4 items
[0]
NX
[1]
143 (54.8%)
[2]
125 (47.9%)
[3]
[27] array · 4 items
[0]
Distant metastasis
[1]
[2]
[3]
0.620
[28] array · 4 items
[0]
M0
[1]
207 (79.3%)
[2]
214 (82.0%)
[3]
[29] array · 4 items
[0]
M1
[1]
41 (15.7%)
[2]
38 (14.6%)
[3]
[30] array · 4 items
[0]
MX
[1]
13 (5.0%)
[2]
9 (3.4%)
[3]
[31] array · 4 items
[0]
Tumor grade
[1]
[2]
[3]
0.609
[32] array · 4 items
[0]
G1
[1]
6 (2.3%)
[2]
6 (2.3%)
[3]
[33] array · 4 items
[0]
G2
[1]
104 (39.8%)
[2]
121 (46.4%)
[3]
[34] array · 4 items
[0]
G3
[1]
110 (42.1%)
[2]
95 (36.4%)
[3]
[35] array · 4 items
[0]
G4
[1]
39 (15.0%)
[2]
36 (13.8%)
[3]
[36] array · 4 items
[0]
GX
[1]
2 (0.8%)
[2]
3 (1.1%)
[3]
[37] array · 4 items
[0]
Survival status
[1]
[2]
[3]
0.002*
[38] array · 4 items
[0]
Alive
[1]
157 (60.2%)
[2]
191 (73.2%)
[3]
[39] array · 4 items
[0]
Died
[1]
104 (39.8%)
[2]
70 (26.8%)
[3]
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section[5]/table-wrap[1]#T3
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asset:table:pmid:27926518:4
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jats-table
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sha256:9eb8bae9a278671cc1848cebb91c7ee01a76a7573ed4ceb0400df22df714ba91
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read_table
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section[6]/table-wrap[1]#T4
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null
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Pathway analyses for high PD-L1 group and low PD-L1 group in KIRC cohort from TCGA and GEO databases
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pmcid
PMC5356887
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6
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Gene expression signature in high PD-L1 group and low PD-L1 group of KIRC cohort
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20
column_count
9
table object · 8 fields
label
Table 4
caption
Pathway analyses for high PD-L1 group and low PD-L1 group in KIRC cohort from TCGA and GEO databases
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[0] array · 3 items
[0]
[1]
KIRC from TCGA (522 cases)
[2]
KIRC from GSEA 53757 in GEO (72 cases)
[1] array · 8 items
[0]
High PD-L1
[1]
q-val.
[2]
Low PD-L1
[3]
q-val.
[4]
High PD-L1
[5]
q-val.
[6]
Low PD-L1
[7]
q-val.
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[0]
1
[1]
Interferon-γ response*
[2]
<0.001
[3]
DNA repair
[4]
<0.001
[5]
Allograft rejection*
[6]
<0.001
[7]
Epithelial mesenchymal transition*
[8]
<0.001
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[0]
2
[1]
Allograft rejection*
[2]
<0.001
[3]
MYC targets v2
[4]
<0.001
[5]
Interferon-γ response*
[6]
<0.001
[7]
Uv response down
[8]
<0.001
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[0]
3
[1]
Interferon-α response*
[2]
<0.001
[3]
Myogenesis*
[4]
0.001
[5]
Interferon-α response*
[6]
<0.001
[7]
Angiogenesis
[8]
<0.001
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[0]
4
[1]
Protein secretion
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<0.001
[3]
MYC targets v1
[4]
0.004
[5]
IL6 JAK Stat3 signaling*
[6]
<0.001
[7]
Myogenesis*
[8]
<0.001
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[0]
5
[1]
Mitotic spindle
[2]
<0.001
[3]
Glycolysis
[4]
0.003
[5]
E2F targets
[6]
<0.001
[7]
TGF–β signaling
[8]
<0.001
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[0]
6
[1]
Inflammatory response*
[2]
<0.001
[3]
Epithelial mesenchymal transition*
[4]
0.008
[5]
Inflammatory response*
[6]
<0.001
[7]
Hypoxia
[8]
<0.001
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[0]
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[1]
G2M checkpoint*
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0.001
[3]
Coagulation*
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0.041
[5]
G2M checkpoint*
[6]
<0.001
[7]
Notch signaling
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0.002
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[0]
8
[1]
Androgen response
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0.002
[3]
Oxidative phosphorylation
[4]
0.043
[5]
TNF-α signaling via NF-κB*
[6]
<0.001
[7]
Apical junction
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<0.001
[10] array · 9 items
[0]
9
[1]
IL6 JAK Stat3 signaling*
[2]
0.006
[3]
[4]
[5]
Complement*
[6]
<0.001
[7]
Wnt β-catenin signaling
[8]
0.004
[11] array · 9 items
[0]
10
[1]
Kras signaling up
[2]
0.005
[3]
[4]
[5]
IL2 STAT5 signaling*
[6]
<0.001
[7]
Hedgehog signaling
[8]
0.018
[12] array · 9 items
[0]
11
[1]
Complement*
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0.010
[3]
[4]
[5]
PI3K AKT mTOR signaling*
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0.004
[7]
Androgen response
[8]
0.008
[13] array · 9 items
[0]
12
[1]
TNF-α signaling via NF-κB*
[2]
0.010
[3]
[4]
[5]
[6]
[7]
Coagulation*
[8]
0.002
[14] array · 9 items
[0]
13
[1]
Uv response down
[2]
0.014
[3]
[4]
[5]
[6]
[7]
Bile acid metabolism
[8]
0.002
[15] array · 9 items
[0]
14
[1]
IL2 Stat5 signaling*
[2]
0.018
[3]
[4]
[5]
[6]
[7]
Fatty acid metabolism
[8]
0.004
[16] array · 9 items
[0]
15
[1]
PI3K AKT mTOR signaling*
[2]
0.019
[3]
[4]
[5]
[6]
[7]
Adipogenesis
[8]
0.004
[17] array · 9 items
[0]
16
[1]
[2]
[3]
[4]
[5]
[6]
[7]
Xenobiotic metabolism
[8]
0.006
[18] array · 9 items
[0]
17
[1]
[2]
[3]
[4]
[5]
[6]
[7]
Kras signaling up
[8]
0.008
[19] array · 9 items
[0]
18
[1]
[2]
[3]
[4]
[5]
[6]
[7]
Estrogen response early
[8]
0.012
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section[6]/table-wrap[1]#T4
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[0]
asset:data:geo:GSE53757 not downloaded
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asset:data:geo:GSE53757 licence not read
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complete
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method-1
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survival_analysis
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Survival analysis
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survival_km
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time_to_event_with_censoring
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score
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verbatim
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Overall survival was assessed using Kaplan-Meier method and log-rank test.
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Survival analysis
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cox_ph
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hazard_ratio
r cell cancer patients (HR=0
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time_to_event_with_censoring
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Cox regression
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Survival analysis
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time_to_event_with_censoring
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chi_square_test
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null
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The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
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chi_square_test
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null
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The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
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capability object · 3 fields
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complete
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capability:computational_analysis
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Automated Assays Laravel application and simulated adapters
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survival_km
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
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capability:computational_analysis
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE53757
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GSE53757
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The data used in this study are opened to public for access without limitation and restriction.
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The paper names GSE53757 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:27926518", "kind": "science-record", "revision": 7, "content_hash": "sha256:9255429f24ea5e323ddd448107e2f1efaf0357ba0c38e41d062c2df8241b6c81", "created_at": "2026-11-01T15:40:21Z", "updated_at": "2026-11-01T22:42:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Higher programmed cell death 1 ligand 1 (PD-L1) mRNA level in clear cell renal cell carcinomas is associated with a favorable outcome due to the active immune responses in tumor tissues.", "doi": "10.18632/oncotarget.13765", "pmid": "27926518", "authors": ["Xiang-Hui Ning", "Yan-Qing Gong", "Shi-Ming He", "Teng Li", "Jiang-Yi Wang", "Shuang-He Peng", "Jin-Chao Chen", "Jia-Yuan Liu", "Nie-Nie Qi", "Ying-Lu Guo", "Kan Gong"], "journal": "Oncotarget", "year": 2017, "abstract": "Renal cell carcinoma is one of the most common urological tumors. The role of programmed cell death 1 ligand 1 (PD-L1) in renal cell carcinomas in predicting outcome of the patients is yet unclear. We analyzed the clinical and RNA-seq data of 522 kidney clear cell cancer, 259 kidney papillary cell carcinoma and 66 kidney chromophobe patients from The Cancer Genome Atlas (TCGA) database. In kidney clear cell cancer patients with high PD-L1 mRNA level and low PD-L1 mRNA level in tumors, the median overall survival periods were 45.0 and 37.1 months respectively (p=0.002). Multivariate Cox regression tests found that PD-L1 mRNA level in tumor was an independent predictor for overall survival status in kidney clear cell cancer patients (HR=0.7, 95% CI 0.5-0.9, p=0.007). However, no significant difference in overall survival status was found between high and low PD-L1 groups in kidney papillary cell carcinoma and kidney chromophobe cohorts. Gene-set enrichment analysis on the data from databases of TCGA and GSE53757 dataset in Gene Expression Omnibus databases showed that several pathways relating to immunological functions were activated in kidney clear cell cancers with high PD-L1 mRNA expression, and glycolysis and epithelial-mesenchymal transition pathways relating to tumor progression and metastasis were increased in kidney clear cell cancers with low PD-L1 mRNA level. In conclusion, higher PD-L1 mRNA level in kidney clear cell cancer tissues was associated with a favorable outcome due to the higher immunological responses in tumor tissues.", "claims": [{"id": "claim-method", "statement": "Overall survival was assessed using Kaplan-Meier method and log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27926518", "locator": "sections[11] \"Statistical methods\" paragraph 2", "quote": "Overall survival was assessed using Kaplan-Meier method and log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used in this study are opened to public for access without limitation and restriction.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27926518", "locator": "sections[9] \"Patients and data collection\" paragraph 2", "quote": "The data used in this study are opened to public for access without limitation and restriction."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using TCGA clinical and RNA-seq data analyzed with multivariate Cox regression, higher tumor PD-L1 mRNA was an independent predictor of longer overall survival in kidney clear cell cancer (HR=0.7, 95% CI 0.5–0.9, p=0.007).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Multivariate Cox regression tests found that PD-L1 mRNA level in tumor was an independent predictor for overall survival status in kidney clear cell cancer patients (HR=0.7, 95% CI 0.5-0.9, p=0.007)."}, "evidence": [{"asset": "source:pmid:27926518", "locator": "sections[1] \"INTRODUCTION\" paragraph 5", "quote": "we aimed to investigate the role of PD-L1 mRNA expression in tumors in predicting the outcome of RCC based on the analyses of the clinical and RNA-seq data presented in The Cancer Genome Atlas (TCGA) database."}, {"asset": "source:pmid:27926518", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Multivariate Cox regression tests found that PD-L1 mRNA level in tumor was an independent predictor for overall survival status in kidney clear cell cancer patients (HR=0.7, 95% CI 0.5-0.9, p=0.007)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using TCGA clinical and RNA-seq data analyzed with multivariate Cox regression, higher tumor PD-L1 mRNA was an independent predictor of longer overall survival in kidney clear cell cancer (HR=0.7, 95% CI 0.5–0.9, p=0.007).", "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:27926518"], "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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