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pmid:31113446

Development and validation of SIRT3-related nomogram predictive of overall survival in patients with serous ovarian cancer.

Jun Li · Huiran Yue · Hailin Yu · Xin Lu · Xiaohong Xue

Journal of ovarian research · 2019 doi:10.1186/s13048-019-0524-2

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Experiment

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Data

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pmid:31113446
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science-record
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2026-11-01T15:40:45Z
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2026-11-01T21:22:12Z
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title
Development and validation of SIRT3-related nomogram predictive of overall survival in patients with serous ovarian cancer.
doi
10.1186/s13048-019-0524-2
pmid
31113446
authors array · 5 items
[0]
Jun Li
[1]
Huiran Yue
[2]
Hailin Yu
[3]
Xin Lu
[4]
Xiaohong Xue
journal
Journal of ovarian research
year
2019
abstract
OBJECTIVE: Our aim is to analyzed the expression pattern of sirtuin(SIRT) superfamily and evaluated their prognostic values in serous ovarian cancer patients. METHODS: We first analyzed the differential expression of SIRT members among fallopian tube epithelium (FTE), primary serous ovarian cancers/tubal cancers (PSOCs/PSTCs), and omental metastases using GSE10971 and GSE30587 datasets. The prognostic values of SIRT members were evaluated using TCGA and GSE9891 dataset. RESULTS: SIRT3 and SIRT5 expression were significantly decreased and increased in PSOCs/PSTCs compared with that in normal counterparts, respectively. SIRT6 and SIRT7 were overexpressed in ometal metastases compared with corresponding primary counterparts. With respect to recurrence free survival, however, SIRT7 overexpression was correlated with better prognosis. A similar trend was observed by multivariable analysis. Regarding overall survival (OS), increased expression of SIRT3, SIRT5, and SIRT7 were associated with better survival by univariable analysis. Subsequent multivariable analysis showed that SIRT3 remained an independent favorable prognostic factor for OS. The SIRT3-related nomogram illustrated age at initial diagnosis as sharing the largest contribution to OS, followed by SIRT3 expression and FIGO stage. The C-index for OS prediction was 0.65 (95%CI, 0.61-0.69) in training cohort (TCGA dataset) and 0.65 (95%CI, 0.59-0.71) in validation cohort (GSE9891 dataset), respectively. The calibration plots showed optimal agreement between the prediction by SIRT3-related nomogram and actual observation for 1-, 3-, and 5-year OS probability. CONCLUSION: In conclusion, SIRT3 was an independent favorable prognostic factor for OS in serous ovarian cancer, and added prognostic value to the traditional clinicopathological factors used to evaluate patients' prognosis.
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All factors reaching statistical significance in the univariable analysis were entered into the multivariable Cox regression analysis.
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sections[7] "The prognostic value of SIRT members in serous ovarian cancer patients" paragraph 2
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All factors reaching statistical significance in the univariable analysis were entered into the multivariable Cox regression analysis.
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All data used in present study are all available in TCGA and GEO databases.
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Gene expression data from non-malignant fallopian tube epithelium and high grade serous carcinoma.
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Adaptation During Ovarian Cancer Metastasis Reveals a Predictive Gene Signature
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Homo sapiens
title
Expression profile of 285 ovarian tumour samples
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The associations of each SIRT member’s expression with RFS and OS
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The prognostic value of SIRT members in serous ovarian cancer patients
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Table 1
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The associations of each SIRT member’s expression with RFS and OS
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OS
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3.478 (1.639–7.381)
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1
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[4]
/
[5]
[6]
1.438 (1.003–2.063)
[7]
[8]
1.280 (0.881–1859)
[9]
[10] array · 10 items
[0]
Debulking
[1]
[2]
[3]
0.886
[4]
[5]
/
[6]
[7]
0.030
[8]
[9]
0.540
[11] array · 10 items
[0]
Optimal
[1]
344
[2]
1
[3]
[4]
/
[5]
[6]
1
[7]
[8]
1
[9]
[12] array · 10 items
[0]
Suboptimal
[1]
118
[2]
0.979 (0.734–1.306)
[3]
[4]
/
[5]
[6]
1.353 (1.030–1.776)
[7]
[8]
0.915 (0.689–1.216)
[9]
[13] array · 10 items
[0]
SIRT1
[1]
462
[2]
0.824 (0.662–1.026)
[3]
0.084
[4]
/
[5]
/
[6]
0.907 (0.727–1.131)
[7]
0.386
[8]
/
[9]
/
[14] array · 10 items
[0]
SIRT2
[1]
462
[2]
1.061 (0.814–1.384)
[3]
0.660
[4]
/
[5]
/
[6]
1.187 (0.925–1.522)
[7]
0.178
[8]
/
[9]
/
[15] array · 10 items
[0]
SIRT3
[1]
462
[2]
1.043 (0.690–1.576)
[3]
0.841
[4]
/
[5]
/
[6]
0.661 (0.438–0.996)
[7]
0.048
[8]
0.588 (0.389–0.889)
[9]
0.012
[16] array · 10 items
[0]
SIRT4
[1]
462
[2]
0.629 (0.385–1.028)
[3]
0.064
[4]
/
[5]
/
[6]
0.627 (0.374–1.052)
[7]
0.077
[8]
/
[9]
/
[17] array · 10 items
[0]
SIRT5
[1]
462
[2]
1.013 (0.856–1.199)
[3]
0.879
[4]
/
[5]
/
[6]
0.815 (0.688–0.967)
[7]
0.019
[8]
0.882 (0.742–1.049)
[9]
0.157
[18] array · 10 items
[0]
SIRT6
[1]
462
[2]
1.102 (0.697–1.744)
[3]
0.677
[4]
/
[5]
/
[6]
0.794 (0.505–1.249)
[7]
0.318
[8]
/
[9]
/
[19] array · 10 items
[0]
SIRT7
[1]
462
[2]
0.786 (0.620–0.997)
[3]
0.047
[4]
0.791 (0.624–1.003)
[5]
0.053
[6]
0.760 (0.595–0.969)
[7]
0.027
[8]
0.786 (0.613–1.008)
[9]
0.058
locator
section[7]/table-wrap[1]#Tab1
gaps array · 6 items
[0]
asset:data:geo:GSE10971 not downloaded
[1]
asset:data:geo:GSE10971 licence not read
[2]
asset:data:geo:GSE30587 not downloaded
[3]
asset:data:geo:GSE30587 licence not read
[4]
asset:data:geo:GSE9891 not downloaded
[5]
asset:data:geo:GSE9891 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
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
All factors reaching statistical significance in the univariable analysis were entered into the multivariable Cox regression analysis.
[1] object · 10 fields
id
method-2
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
chi-square
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]
cox_ph
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: cox_proportional_hazards.
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]
GSE10971
[1]
GSE30587
[2]
GSE9891
resolved_accessions array · 3 items
[0]
GSE10971
[1]
GSE30587
[2]
GSE9891
statements array · 1 item
[0]
All data used in present study are all available in TCGA and GEO databases.
basis
The paper names GSE10971, GSE30587, GSE9891 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]
cox_ph
assets array · 3 items
[0]
source:pmid:31113446
[1]
data:geo:GSE10971
[2]
asset:table:pmid:31113446:1
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:GSE10971
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
2026-10-31T18:14:40Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
15431
completion_tokens
1447
cached_tokens
784
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[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:31113446
type
paper
label
pmid:31113446
[1] object · 3 fields
id
source:pmid:31113446
type
manuscript
label
PMID 31113446 full text
[2] object · 3 fields
id
data:geo:GSE10971
type
dataset
label
GEO GSE10971
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:31113446
type
paper
label
pmid:31113446
[1] object · 3 fields
id
source:pmid:31113446
type
manuscript
label
PMID 31113446 full text
[2] object · 3 fields
id
data:geo:GSE10971
type
dataset
label
GEO GSE10971
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31113446
type
extraction
used array · 1 item
[0]
source:pmid:31113446
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE10971
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE10971
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:31113446
parent_hash
sha256:353eef1fc8e5970b70c6f577615ab12823a853e54a40246a4448de1d1878d43b
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE10971 licence not read
[1]
asset:data:geo:GSE10971 not downloaded
[2]
asset:data:geo:GSE30587 licence not read
[3]
asset:data:geo:GSE30587 not downloaded
[4]
asset:data:geo:GSE9891 licence not read
[5]
asset:data:geo:GSE9891 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]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
All factors reaching statistical significance in the univariable analysis were entered into the multivariable Cox regression analysis.
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:31113446", "kind": "science-record", "revision": 6, "content_hash": "sha256:47fef91e03c69b49ee063a58d82a552078139dc6558085472d1fc4f21a6fded8", "created_at": "2026-11-01T15:40:45Z", "updated_at": "2026-11-01T21:22:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development and validation of SIRT3-related nomogram predictive of overall survival in patients with serous ovarian cancer.", "doi": "10.1186/s13048-019-0524-2", "pmid": "31113446", "authors": ["Jun Li", "Huiran Yue", "Hailin Yu", "Xin Lu", "Xiaohong Xue"], "journal": "Journal of ovarian research", "year": 2019, "abstract": "OBJECTIVE: Our aim is to analyzed the expression pattern of sirtuin(SIRT) superfamily and evaluated their prognostic values in serous ovarian cancer patients.\nMETHODS: We first analyzed the differential expression of SIRT members among fallopian tube epithelium (FTE), primary serous ovarian cancers/tubal cancers (PSOCs/PSTCs), and omental metastases using GSE10971 and GSE30587 datasets. The prognostic values of SIRT members were evaluated using TCGA and GSE9891 dataset.\nRESULTS: SIRT3 and SIRT5 expression were significantly decreased and increased in PSOCs/PSTCs compared with that in normal counterparts, respectively. SIRT6 and SIRT7 were overexpressed in ometal metastases compared with corresponding primary counterparts. With respect to recurrence free survival, however, SIRT7 overexpression was correlated with better prognosis. A similar trend was observed by multivariable analysis. Regarding overall survival (OS), increased expression of SIRT3, SIRT5, and SIRT7 were associated with better survival by univariable analysis. Subsequent multivariable analysis showed that SIRT3 remained an independent favorable prognostic factor for OS. The SIRT3-related nomogram illustrated age at initial diagnosis as sharing the largest contribution to OS, followed by SIRT3 expression and FIGO stage. The C-index for OS prediction was 0.65 (95%CI, 0.61-0.69) in training cohort (TCGA dataset) and 0.65 (95%CI, 0.59-0.71) in validation cohort (GSE9891 dataset), respectively. The calibration plots showed optimal agreement between the prediction by SIRT3-related nomogram and actual observation for 1-, 3-, and 5-year OS probability.\nCONCLUSION: In conclusion, SIRT3 was an independent favorable prognostic factor for OS in serous ovarian cancer, and added prognostic value to the traditional clinicopathological factors used to evaluate patients' prognosis.", "claims": [{"id": "claim-method", "statement": "All factors reaching statistical significance in the univariable analysis were entered into the multivariable Cox regression analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31113446", "locator": "sections[7] \"The prognostic value of SIRT members in serous ovarian cancer patients\" paragraph 2", "quote": "All factors reaching statistical significance in the univariable analysis were entered into the multivariable Cox regression analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data used in present study are all available in TCGA and GEO databases.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31113446", "locator": "sections[10] \"ack\" paragraph 1", "quote": "All data used in present study are all available in TCGA and GEO databases."}], "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:31113446"], "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:GSE10971"], "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:GSE10971"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31113446", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s13048-019-0524-2", "sha256": "sha256:49694e0f1fdd5b180d14613c6ad25580cc5bbedb09f734bc9259329ca2385dfd", "bytes": 18549, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s13048-019-0524-2", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6530022", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE10971", "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=GSE10971", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE10971", "version": null, "note": "All data used in present study are all available in TCGA and GEO databases.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data used in present study are all available in TCGA and GEO databases.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM277776", "GSM277777", "GSM277778", "GSM277779", "GSM277780", "GSM277781", "GSM277782", "GSM277783", "GSM277784", "GSM277785", "GSM277786", "GSM277787", "GSM277788", "GSM277789", "GSM277790", "GSM277791", "GSM277792", "GSM277793", "GSM277794", "GSM277795", "GSM277796", "GSM277797", "GSM277798", "GSM277799", "GSM277800", "GSM277801", "GSM277802", "GSM277803", "GSM277804", "GSM277805", "GSM277806", "GSM277807", "GSM277808", "GSM277809", "GSM277810", "GSM277811", "GSM277812"], "sample_count": 37, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression data from non-malignant fallopian tube epithelium and high grade serous carcinoma.", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE30587", "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=GSE30587", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE30587", "version": null, "note": "All data used in present study are all available in TCGA and GEO databases.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data used in present study are all available in TCGA and GEO databases.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM758800", "GSM758801", "GSM758802", "GSM758803", "GSM758804", "GSM758805", "GSM758806", "GSM758807", "GSM758808", "GSM758809", "GSM758810", "GSM758811", "GSM758812", "GSM758813", "GSM758814", "GSM758815", "GSM758816", "GSM758817"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Adaptation During Ovarian Cancer Metastasis Reveals a Predictive Gene Signature", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE9891", "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=GSE9891", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE9891", "version": null, "note": "All data used in present study are all available in TCGA and GEO databases.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data used in present study are all available in TCGA and GEO databases.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM249714", "GSM249715", "GSM249716", "GSM249717", "GSM249718", "GSM249719", "GSM249720", "GSM249721", "GSM249722", "GSM249723", "GSM249724", "GSM249725", "GSM249726", "GSM249727", "GSM249728", "GSM249729", "GSM249730", "GSM249731", "GSM249732", "GSM249733", "GSM249734", "GSM249735", "GSM249736", "GSM249737", "GSM249738", "GSM249739", "GSM249740", "GSM249741", "GSM249742", "GSM249743", "GSM249744", "GSM249745", "GSM249746", "GSM249747", "GSM249748", "GSM249749", "GSM249750", "GSM249751", "GSM249752", "GSM249753", "GSM249754", "GSM249755", "GSM249756", "GSM249757", "GSM249758", "GSM249759", "GSM249760", "GSM249761", "GSM249762", "GSM249763", "GSM249764", "GSM249765", "GSM249766", "GSM249767", "GSM249768", "GSM249769", "GSM249770", "GSM249771", "GSM249773", "GSM249774", "GSM249775", "GSM249776", "GSM249777", "GSM249778", "GSM249779", "GSM249780", "GSM249781", "GSM249782", "GSM249783", "GSM249784", "GSM249785", "GSM249786", "GSM249788", "GSM249789", "GSM249790", "GSM249791", "GSM249792", "GSM249793", "GSM249794", "GSM249795", "GSM249796", "GSM249797", "GSM249798", "GSM249799", "GSM249800", "GSM249801", "GSM249802", "GSM249803", "GSM249804", "GSM249805", "GSM249806", "GSM249807", "GSM249808", "GSM249809", "GSM249810", "GSM249811", "GSM249812", "GSM249813", "GSM249814", "GSM249815", "GSM249816", "GSM249817", "GSM249818", "GSM249819", "GSM249820", "GSM249821", "GSM249822", "GSM249823", "GSM249824", "GSM249825", "GSM249826", "GSM249827", "GSM249828", "GSM249829", "GSM249830", "GSM249831", "GSM249832", "GSM249833", "GSM249834", "GSM249835", "GSM249836", "GSM249837", "GSM249838", "GSM249839", "GSM249840", "GSM249841", "GSM249842", "GSM249843", "GSM249844", "GSM249845", "GSM249846", "GSM249847", "GSM249848", "GSM249849", "GSM249850", "GSM249851", "GSM249852", "GSM249853", "GSM249854", "GSM249855", "GSM249856", "GSM249857", "GSM249858", "GSM249859", "GSM249860", "GSM249861", "GSM249862", "GSM249863", "GSM249864", "GSM249865", "GSM249866", "GSM249867", "GSM249868", "GSM249869", "GSM249870", "GSM249871", "GSM249872", "GSM249873", "GSM249874", "GSM249875", "GSM249876", "GSM249877", "GSM249878", "GSM249879", "GSM249880", "GSM249881", "GSM249882", "GSM249883", "GSM249884", "GSM249885", "GSM249886", "GSM249887", "GSM249888", "GSM249889", "GSM249890", "GSM249891", "GSM249892", "GSM249893", "GSM249894", "GSM249895", "GSM249896", "GSM249897", "GSM249898", "GSM249899", "GSM249900", "GSM249901", "GSM249902", "GSM249903", "GSM249904", "GSM249905", "GSM249906", "GSM249907", "GSM249908", "GSM249909", "GSM249910", "GSM249911", "GSM249912", "GSM249913", "GSM249914", "GSM249915", "GSM249916", "GSM249917", "GSM249918", "GSM249919", "GSM249920", "GSM249921", "GSM249922", "GSM249923", "GSM249924", "GSM249925", "GSM249926", "GSM249927", "GSM249928", "GSM249929", "GSM249930", "GSM249931", "GSM249932", "GSM249933", "GSM249934", "GSM249935", "GSM249936", "GSM249937", 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"resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:31113446:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:eef7e001643c6ae045a019833273ffac6dcf52eb107f19811a0cc988e7ac34db", "bytes": 1973, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[7]/table-wrap[1]#Tab1", "version": null, "note": "The associations of each SIRT member’s expression with RFS and OS", "structure": {"pmcid": "PMC6530022", "section_index": 7, "section_title": "The prognostic value of SIRT members in serous ovarian cancer patients", "row_count": 20, "column_count": 10}, "table": {"label": "Table 1", "caption": "The associations of each SIRT member’s expression with RFS and OS", "rows": [["Variables", "Number of patients", "RFS", "OS"], ["Univariate analysis", "Multivariate analysis", "Univariate analysis", "Multivariate analysis"], ["HR (95%CI)", "P value", "HR (95%CI)", "P value", "HR (95%CI)", "P value", "HR (95%CI)", "P value"], ["Age", "462", "1.003 (0.991–1.014)", "0.661", "/", "/", "1.024 (1.013–1.036)", "< 0.001", "1.023 (1.011–1.034)", "< 0.001"], ["Stage", "", "", "0.015", "", "0.016", "", "0.001", "", "0.005"], ["Early", "33", "1", "", "1", "", "1", "", "1", ""], ["Late", "429", "2.003 (1.144–3.506)", "", "1.986 (1.134–3.477)", "", "3.478 (1.639–7.381)", "", "2.995 (1.392–6.446)", ""], ["Grade", "", "", "0.254", "", "/", "", "0.048", "", "0.196"], ["Low", "57", "1", "", "/", "", "1", "", "1", ""], ["High", "405", "1.227 (0.863–1.745)", "", "/", "", "1.438 (1.003–2.063)", "", "1.280 (0.881–1859)", ""], ["Debulking", "", "", "0.886", "", "/", "", "0.030", "", "0.540"], ["Optimal", "344", "1", "", "/", "", "1", "", "1", ""], ["Suboptimal", "118", "0.979 (0.734–1.306)", "", "/", "", "1.353 (1.030–1.776)", "", "0.915 (0.689–1.216)", ""], ["SIRT1", "462", "0.824 (0.662–1.026)", "0.084", "/", "/", "0.907 (0.727–1.131)", "0.386", "/", "/"], ["SIRT2", "462", "1.061 (0.814–1.384)", "0.660", "/", "/", "1.187 (0.925–1.522)", "0.178", "/", "/"], ["SIRT3", "462", "1.043 (0.690–1.576)", "0.841", "/", "/", "0.661 (0.438–0.996)", "0.048", "0.588 (0.389–0.889)", "0.012"], ["SIRT4", "462", "0.629 (0.385–1.028)", "0.064", "/", "/", "0.627 (0.374–1.052)", "0.077", "/", "/"], ["SIRT5", "462", "1.013 (0.856–1.199)", "0.879", "/", "/", "0.815 (0.688–0.967)", "0.019", "0.882 (0.742–1.049)", "0.157"], ["SIRT6", "462", "1.102 (0.697–1.744)", "0.677", "/", "/", "0.794 (0.505–1.249)", "0.318", "/", "/"], ["SIRT7", "462", "0.786 (0.620–0.997)", "0.047", "0.791 (0.624–1.003)", "0.053", "0.760 (0.595–0.969)", "0.027", "0.786 (0.613–1.008)", "0.058"]], "row_count": 20, "column_count": 10, "numeric_cells": 90, "header_rows": 3, "locator": "section[7]/table-wrap[1]#Tab1"}}], "gaps": 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE10971", "GSE30587", "GSE9891"], "resolved_accessions": ["GSE10971", "GSE30587", "GSE9891"], "statements": ["All data used in present study are all available in TCGA and GEO databases."], "basis": "The paper names GSE10971, GSE30587, GSE9891 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. 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