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pmid:32819300

A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.

Hanliang Jiang · Shan Xu · Chunhua Chen

BMC cancer · 2020 doi:10.1186/s12885-020-07235-z

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complete

Experiment

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Data

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title
A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
doi
10.1186/s12885-020-07235-z
pmid
32819300
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Hanliang Jiang
[1]
Shan Xu
[2]
Chunhua Chen
journal
BMC cancer
year
2020
abstract
BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer death. Therefore, identifying potential prognostic risk factors is critical to improve the survival of patients with LUAD. METHODS: Here, relevant datasets were downloaded from TCGA and GEO databases to screen the differentially expressed genes (DEGs). Univariate Cox analysis, LASSO regression analysis and multivariate Cox analysis were conducted on the DEGs combined with TCGA clinical data, and finally a risk assessment model based on 10 feature genes was constructed. RESULTS: The prognosis of patients was evaluated after the patients were grouped based on the median risk score and the results showed that the survival time of patients in the high-risk group was significantly shorter than that in the low-risk group. ROC analysis showed that the AUC values of the 1, 3, 5-year survival were 0.753, 0.724, and 0.73, respectively, indicating that the model was precise in predicting the prognosis, which was also verified in the external dataset GSE72094. In addition, a significant correlation was found between the risk score and the clinical stages of LUAD, that is, a later stage always corresponded to a higher risk score. Then, we performed survival analysis on the 10 feature genes independently in the TCGA-LUAD dataset through the GEPIA database, finding that the high expression of 6 genes (COL5A2, PLEK2, BAIAP2L2, S100P, ZIC2, SFXN1) was associated with the poor prognosis of LUAD patients. CONCLUSION: To sum, this study established a 10-gene risk assessment model and further evaluated its value in predicting LUAD prognosis, which provided a new method for the prognosis prediction of LUAD.
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The survival curves of the patients in the high and low risk groups were drawn with the R-package “Survival”, and the survival time of the two groups was compared by log-rank test.
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The survival curves of the patients in the high and low risk groups were drawn with the R-package “Survival”, and the survival time of the two groups was compared by log-rank test.
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The data used to support the findings of this study are included within the article. The data and materials in the current study are available from the corresponding author on reasonable request.
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[216]
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[217]
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[218]
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[219]
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[220]
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[221]
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[222]
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[223]
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[224]
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[225]
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[226]
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[227]
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[228]
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[229]
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[230]
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[231]
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[232]
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[233]
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[234]
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[235]
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[236]
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[237]
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[238]
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[239]
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[240]
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[241]
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[242]
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[243]
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[244]
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[245]
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[246]
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[247]
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[248]
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[249]
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[250]
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[251]
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[252]
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[253]
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[254]
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[255]
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[256]
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[257]
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[258]
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[259]
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[260]
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[261]
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[262]
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[263]
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[264]
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[265]
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[266]
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[267]
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[268]
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[269]
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[270]
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[271]
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[272]
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[273]
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[274]
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[275]
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[276]
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[277]
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[278]
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[279]
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[280]
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[281]
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[282]
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[283]
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[284]
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[285]
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[286]
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[287]
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[288]
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[289]
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[290]
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[291]
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[292]
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[293]
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[294]
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[295]
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[296]
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[297]
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[298]
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[299]
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[300]
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[301]
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[302]
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[303]
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[304]
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[305]
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[306]
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[307]
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[308]
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[309]
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[310]
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[311]
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[312]
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[313]
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[314]
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[315]
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[316]
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[317]
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[318]
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[319]
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[320]
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[321]
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[322]
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[323]
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[324]
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[325]
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[326]
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[327]
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[328]
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[329]
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[330]
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[331]
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[332]
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[333]
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[334]
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[335]
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[336]
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[337]
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[338]
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[339]
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[340]
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[341]
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[342]
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[343]
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[344]
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[345]
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[346]
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[347]
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[348]
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[349]
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[350]
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[351]
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[352]
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[353]
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[354]
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[355]
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[356]
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[357]
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[358]
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[359]
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[360]
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[361]
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[362]
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[363]
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[364]
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[365]
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[366]
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[367]
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[368]
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[370]
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[371]
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[372]
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[373]
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[375]
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[392]
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[396]
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[399]
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[400]
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[401]
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[402]
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[403]
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[404]
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[405]
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[406]
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[407]
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[408]
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[409]
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[410]
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[411]
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[412]
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[413]
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[414]
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[415]
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[416]
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[417]
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[418]
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[420]
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[421]
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[422]
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[423]
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[424]
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[425]
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[426]
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[427]
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[428]
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[429]
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[430]
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[431]
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[432]
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[433]
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[434]
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[435]
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[436]
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[437]
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[438]
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[439]
GSM1855236
[440]
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[441]
GSM1855238
sample_count
442
group_sizes
null
group_sizes_basis
null
platform
15048
taxon
Homo sapiens
title
KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE75037
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=GSE75037
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE75037
version
null
note
The data used to support the findings of this study are included within the article. The data and materials in the current study are available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of this study are included within the article. The data and materials in the current study are available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 166 items
[0]
GSM1941120
[1]
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[2]
GSM1941122
[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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[11]
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[12]
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[13]
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[14]
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[15]
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[16]
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[17]
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[19]
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[20]
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[22]
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[23]
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[24]
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[25]
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[26]
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[27]
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[28]
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[29]
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[30]
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[31]
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[32]
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[33]
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[34]
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[35]
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[36]
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[37]
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[38]
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[39]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[46]
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[47]
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[48]
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[49]
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[50]
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[51]
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[52]
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[53]
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[54]
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[55]
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[56]
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[57]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
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[65]
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[66]
GSM1941186
[67]
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[68]
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[69]
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[70]
GSM1941190
[71]
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[72]
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[73]
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[74]
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[75]
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[76]
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[77]
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[78]
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[79]
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[80]
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[81]
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[82]
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[83]
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[84]
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[85]
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[86]
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[87]
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[88]
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[89]
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[90]
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[91]
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[92]
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[93]
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[94]
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[95]
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[96]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[106]
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[107]
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[108]
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[109]
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[110]
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[111]
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[112]
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[113]
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[114]
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[115]
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[116]
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[117]
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[118]
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[119]
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[120]
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[121]
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[122]
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[123]
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[124]
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[125]
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[126]
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[127]
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[128]
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[129]
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[130]
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[135]
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[137]
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[138]
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[139]
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[140]
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[141]
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[142]
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[143]
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[144]
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[145]
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[146]
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[147]
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[148]
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[149]
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[150]
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[151]
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[152]
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[153]
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[154]
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[156]
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[157]
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[159]
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[160]
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[161]
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[162]
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[163]
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[164]
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[165]
GSM1941285
sample_count
166
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Expression profiling of 83 matched pairs of lung adenocarcinomas and non-malignant adjacent tissue
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE31210 not downloaded
[1]
asset:data:geo:GSE31210 licence not read
[2]
asset:data:geo:GSE72094 not downloaded
[3]
asset:data:geo:GSE72094 licence not read
[4]
asset:data:geo:GSE75037 not downloaded
[5]
asset:data:geo:GSE75037 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[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
score
1
band
verbatim
quote
The survival curves of the patients in the high and low risk groups were drawn with the R-package “Survival”, and the survival time of the two groups was compared by log-rank test.
[1] object · 10 fields
id
method-2
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
ROC analysis
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
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]
logrank_test
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: log_rank_test.
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 · 3 items
[0]
GSE75037
[1]
GSE72094
[2]
GSE31210
resolved_accessions array · 3 items
[0]
GSE75037
[1]
GSE72094
[2]
GSE31210
statements array · 1 item
[0]
The data used to support the findings of this study are included within the article. The data and materials in the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE75037, GSE72094, GSE31210 in GEO database 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]
logrank_test
assets array · 2 items
[0]
source:pmid:32819300
[1]
data:geo:GSE31210
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE31210
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
2026-10-31T18:21:57Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
20290
completion_tokens
2118
cached_tokens
785
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
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[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:32819300
type
paper
label
pmid:32819300
[1] object · 3 fields
id
source:pmid:32819300
type
manuscript
label
PMID 32819300 full text
[2] object · 3 fields
id
data:geo:GSE31210
type
dataset
label
GEO GSE31210
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:32819300
type
paper
label
pmid:32819300
[1] object · 3 fields
id
source:pmid:32819300
type
manuscript
label
PMID 32819300 full text
[2] object · 3 fields
id
data:geo:GSE31210
type
dataset
label
GEO GSE31210
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32819300
type
extraction
used array · 1 item
[0]
source:pmid:32819300
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE31210
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE31210
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
type
software
label
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:32819300
parent_hash
sha256:9e2dbd07e30b00e82de8ffe9750e4830ca4c8f51fbc5a66cdb758d91f24c4b2a
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE31210 licence not read
[1]
asset:data:geo:GSE31210 not downloaded
[2]
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[3]
asset:data:geo:GSE72094 not downloaded
[4]
asset:data:geo:GSE75037 licence not read
[5]
asset:data:geo:GSE75037 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
logrank_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The survival curves of the patients in the high and low risk groups were drawn with the R-package “Survival”, and the survival time of the two groups was compared by log-rank test.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32819300", "kind": "science-record", "revision": 7, "content_hash": "sha256:b79572da8482aaa47410e2fc0763b4da2badd83f5462b8018f54a087bf659f44", "created_at": "2026-11-01T15:41:08Z", "updated_at": "2026-11-01T22:02:03Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.", "doi": "10.1186/s12885-020-07235-z", "pmid": "32819300", "authors": ["Hanliang Jiang", "Shan Xu", "Chunhua Chen"], "journal": "BMC cancer", "year": 2020, "abstract": "BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer death. Therefore, identifying potential prognostic risk factors is critical to improve the survival of patients with LUAD.\nMETHODS: Here, relevant datasets were downloaded from TCGA and GEO databases to screen the differentially expressed genes (DEGs). Univariate Cox analysis, LASSO regression analysis and multivariate Cox analysis were conducted on the DEGs combined with TCGA clinical data, and finally a risk assessment model based on 10 feature genes was constructed.\nRESULTS: The prognosis of patients was evaluated after the patients were grouped based on the median risk score and the results showed that the survival time of patients in the high-risk group was significantly shorter than that in the low-risk group. ROC analysis showed that the AUC values of the 1, 3, 5-year survival were 0.753, 0.724, and 0.73, respectively, indicating that the model was precise in predicting the prognosis, which was also verified in the external dataset GSE72094. In addition, a significant correlation was found between the risk score and the clinical stages of LUAD, that is, a later stage always corresponded to a higher risk score. Then, we performed survival analysis on the 10 feature genes independently in the TCGA-LUAD dataset through the GEPIA database, finding that the high expression of 6 genes (COL5A2, PLEK2, BAIAP2L2, S100P, ZIC2, SFXN1) was associated with the poor prognosis of LUAD patients.\nCONCLUSION: To sum, this study established a 10-gene risk assessment model and further evaluated its value in predicting LUAD prognosis, which provided a new method for the prognosis prediction of LUAD.", "claims": [{"id": "claim-method", "statement": "The survival curves of the patients in the high and low risk groups were drawn with the R-package “Survival”, and the survival time of the two groups was compared by log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32819300", "locator": "sections[6] \"Risk assessment model construction and evaluation\" paragraph 2", "quote": "The survival curves of the patients in the high and low risk groups were drawn with the R-package “Survival”, and the survival time of the two groups was compared by log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are included within the article. The data and materials in the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32819300", "locator": "sections[24] \"notes\" paragraph 1", "quote": "The data used to support the findings of this study are included within the article. The data and materials in 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:32819300"], "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:GSE31210"], "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:GSE31210"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32819300", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12885-020-07235-z", "sha256": "sha256:c3f52d07910125585aadd3c32254657627222ad4bb6970ad176e7496066a1a26", "bytes": 26455, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12885-020-07235-z", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7439715", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE31210", "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=GSE31210", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE31210", "version": null, "note": "The data used to support the findings of this study are included within the article. 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