Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm Article Swipe

PDF

Xiaolin Zhong , Hongyang Xiao , Weihong Lu , Jiayuan Chen , Chao Fan , Ruiqin Tu ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1007/s12672-025-03011-2

Related Topics

Artificial Intelligence

Concepts

Artificial intelligence Computer science Ovarian cancer Algorithm Deep learning Cancer Machine learning Medicine Internal medicine

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1007/s12672-025-03011-2
PDF: https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf
OA Status: gold
References: 27
Related Works: 10
OpenAlex ID: https://openalex.org/W4411857722

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4411857722

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1007/s12672-025-03011-2

Digital Object Identifier
Title: Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-07-01

Full publication date if available
Authors: Xiaolin Zhong, Hongyang Xiao, Weihong Lu, Jiayuan Chen, Chao Fan, Ruiqin Tu

List of authors in order
Landing page: https://doi.org/10.1007/s12672-025-03011-2

Publisher landing page
PDF URL: https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf

Direct OA link when available
Concepts: Artificial intelligence, Computer science, Ovarian cancer, Algorithm, Deep learning, Cancer, Machine learning, Medicine, Internal medicine

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
References (count): 27

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4411857722
doi	https://doi.org/10.1007/s12672-025-03011-2
ids.doi	https://doi.org/10.1007/s12672-025-03011-2
ids.pmid	https://pubmed.ncbi.nlm.nih.gov/40591194
ids.openalex	https://openalex.org/W4411857722
fwci	0.0
type	article
title	Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm
awards[0].id	https://openalex.org/G4271568574
awards[0].funder_id	https://openalex.org/F4320321001
awards[0].display_name
awards[0].funder_award_id	82203743
awards[0].funder_display_name	National Natural Science Foundation of China
awards[1].id	https://openalex.org/G7003067465
awards[1].funder_id	https://openalex.org/F4320336815
awards[1].display_name
awards[1].funder_award_id	2023J05295
awards[1].funder_display_name	Science Fund for Distinguished Young Scholars of Fujian Province
biblio.issue	1
biblio.volume	16
biblio.last_page	1228
biblio.first_page	1228
topics[0].id	https://openalex.org/T12422
topics[0].field.id	https://openalex.org/fields/27
topics[0].field.display_name	Medicine
topics[0].score	0.9653000235557556
topics[0].domain.id	https://openalex.org/domains/4
topics[0].domain.display_name	Health Sciences
topics[0].subfield.id	https://openalex.org/subfields/2741
topics[0].subfield.display_name	Radiology, Nuclear Medicine and Imaging
topics[0].display_name	Radiomics and Machine Learning in Medical Imaging
topics[1].id	https://openalex.org/T10862
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9581999778747559
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1702
topics[1].subfield.display_name	Artificial Intelligence
topics[1].display_name	AI in cancer detection
funders[0].id	https://openalex.org/F4320321001
funders[0].ror	https://ror.org/01h0zpd94
funders[0].display_name	National Natural Science Foundation of China
funders[1].id	https://openalex.org/F4320336815
funders[1].ror
funders[1].display_name	Science Fund for Distinguished Young Scholars of Fujian Province
is_xpac	False
apc_list.value	990
apc_list.currency	EUR
apc_list.value_usd	1067
apc_paid.value	990
apc_paid.currency	EUR
apc_paid.value_usd	1067
concepts[0].id	https://openalex.org/C154945302
concepts[0].level	1
concepts[0].score	0.5279589891433716
concepts[0].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[0].display_name	Artificial intelligence
concepts[1].id	https://openalex.org/C41008148
concepts[1].level	0
concepts[1].score	0.5206519961357117
concepts[1].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[1].display_name	Computer science
concepts[2].id	https://openalex.org/C2780427987
concepts[2].level	3
concepts[2].score	0.4984438419342041
concepts[2].wikidata	https://www.wikidata.org/wiki/Q172341
concepts[2].display_name	Ovarian cancer
concepts[3].id	https://openalex.org/C11413529
concepts[3].level	1
concepts[3].score	0.4738212823867798
concepts[3].wikidata	https://www.wikidata.org/wiki/Q8366
concepts[3].display_name	Algorithm
concepts[4].id	https://openalex.org/C108583219
concepts[4].level	2
concepts[4].score	0.44513070583343506
concepts[4].wikidata	https://www.wikidata.org/wiki/Q197536
concepts[4].display_name	Deep learning
concepts[5].id	https://openalex.org/C121608353
concepts[5].level	2
concepts[5].score	0.4324357509613037
concepts[5].wikidata	https://www.wikidata.org/wiki/Q12078
concepts[5].display_name	Cancer
concepts[6].id	https://openalex.org/C119857082
concepts[6].level	1
concepts[6].score	0.4111069440841675
concepts[6].wikidata	https://www.wikidata.org/wiki/Q2539
concepts[6].display_name	Machine learning
concepts[7].id	https://openalex.org/C71924100
concepts[7].level	0
concepts[7].score	0.29242005944252014
concepts[7].wikidata	https://www.wikidata.org/wiki/Q11190
concepts[7].display_name	Medicine
concepts[8].id	https://openalex.org/C126322002
concepts[8].level	1
concepts[8].score	0.25900501012802124
concepts[8].wikidata	https://www.wikidata.org/wiki/Q11180
concepts[8].display_name	Internal medicine
keywords[0].id	https://openalex.org/keywords/artificial-intelligence
keywords[0].score	0.5279589891433716
keywords[0].display_name	Artificial intelligence
keywords[1].id	https://openalex.org/keywords/computer-science
keywords[1].score	0.5206519961357117
keywords[1].display_name	Computer science
keywords[2].id	https://openalex.org/keywords/ovarian-cancer
keywords[2].score	0.4984438419342041
keywords[2].display_name	Ovarian cancer
keywords[3].id	https://openalex.org/keywords/algorithm
keywords[3].score	0.4738212823867798
keywords[3].display_name	Algorithm
keywords[4].id	https://openalex.org/keywords/deep-learning
keywords[4].score	0.44513070583343506
keywords[4].display_name	Deep learning
keywords[5].id	https://openalex.org/keywords/cancer
keywords[5].score	0.4324357509613037
keywords[5].display_name	Cancer
keywords[6].id	https://openalex.org/keywords/machine-learning
keywords[6].score	0.4111069440841675
keywords[6].display_name	Machine learning
keywords[7].id	https://openalex.org/keywords/medicine
keywords[7].score	0.29242005944252014
keywords[7].display_name	Medicine
keywords[8].id	https://openalex.org/keywords/internal-medicine
keywords[8].score	0.25900501012802124
keywords[8].display_name	Internal medicine
language	en
locations[0].id	doi:10.1007/s12672-025-03011-2
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4210213696
locations[0].source.issn	2730-6011
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2730-6011
locations[0].source.is_core	True
locations[0].source.is_in_doaj	True
locations[0].source.display_name	Discover Oncology
locations[0].source.host_organization	https://openalex.org/P4310319965
locations[0].source.host_organization_name	Springer Nature
locations[0].source.host_organization_lineage	https://openalex.org/P4310319965
locations[0].source.host_organization_lineage_names	Springer Nature
locations[0].license	cc-by-nc-nd
locations[0].pdf_url	https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by-nc-nd
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Discover Oncology
locations[0].landing_page_url	https://doi.org/10.1007/s12672-025-03011-2
locations[1].id	pmid:40591194
locations[1].is_oa	False
locations[1].source.id	https://openalex.org/S4306525036
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	False
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	PubMed
locations[1].source.host_organization	https://openalex.org/I1299303238
locations[1].source.host_organization_name	National Institutes of Health
locations[1].source.host_organization_lineage	https://openalex.org/I1299303238
locations[1].license
locations[1].pdf_url
locations[1].version	publishedVersion
locations[1].raw_type
locations[1].license_id
locations[1].is_accepted	True
locations[1].is_published	True
locations[1].raw_source_name	Discover oncology
locations[1].landing_page_url	https://pubmed.ncbi.nlm.nih.gov/40591194
locations[2].id	pmh:oai:doaj.org/article:9847ea746f674410ac1b1ed9753d2e57
locations[2].is_oa	False
locations[2].source.id	https://openalex.org/S4306401280
locations[2].source.issn
locations[2].source.type	repository
locations[2].source.is_oa	False
locations[2].source.issn_l
locations[2].source.is_core	False
locations[2].source.is_in_doaj	False
locations[2].source.display_name	DOAJ (DOAJ: Directory of Open Access Journals)
locations[2].source.host_organization
locations[2].source.host_organization_name
locations[2].license
locations[2].pdf_url
locations[2].version	submittedVersion
locations[2].raw_type	article
locations[2].license_id
locations[2].is_accepted	False
locations[2].is_published	False
locations[2].raw_source_name	Discover Oncology, Vol 16, Iss 1, Pp 1-15 (2025)
locations[2].landing_page_url	https://doaj.org/article/9847ea746f674410ac1b1ed9753d2e57
locations[3].id	pmh:oai:pubmedcentral.nih.gov:12214144
locations[3].is_oa	True
locations[3].source.id	https://openalex.org/S2764455111
locations[3].source.issn
locations[3].source.type	repository
locations[3].source.is_oa	False
locations[3].source.issn_l
locations[3].source.is_core	False
locations[3].source.is_in_doaj	False
locations[3].source.display_name	PubMed Central
locations[3].source.host_organization	https://openalex.org/I1299303238
locations[3].source.host_organization_name	National Institutes of Health
locations[3].source.host_organization_lineage	https://openalex.org/I1299303238
locations[3].license	other-oa
locations[3].pdf_url
locations[3].version	submittedVersion
locations[3].raw_type	Text
locations[3].license_id	https://openalex.org/licenses/other-oa
locations[3].is_accepted	False
locations[3].is_published	False
locations[3].raw_source_name	Discov Oncol
locations[3].landing_page_url	https://www.ncbi.nlm.nih.gov/pmc/articles/12214144
indexed_in	crossref, doaj, pubmed
authorships[0].author.id	https://openalex.org/A5103430324
authorships[0].author.orcid
authorships[0].author.display_name	Xiaolin Zhong
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210124907
authorships[0].affiliations[0].raw_affiliation_string	Gynecology, Zhongshan Hospital Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[0].institutions[0].id	https://openalex.org/I24943067
authorships[0].institutions[0].ror	https://ror.org/013q1eq08
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I24943067
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Fudan University
authorships[0].institutions[1].id	https://openalex.org/I4210124907
authorships[0].institutions[1].ror	https://ror.org/02z125451
authorships[0].institutions[1].type	healthcare
authorships[0].institutions[1].lineage	https://openalex.org/I4210124907
authorships[0].institutions[1].country_code	CN
authorships[0].institutions[1].display_name	Zhongshan Hospital of Xiamen University
authorships[0].author_position	first
authorships[0].raw_author_name	Xiaolin Zhong
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Gynecology, Zhongshan Hospital Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[1].author.id	https://openalex.org/A5087233656
authorships[1].author.orcid
authorships[1].author.display_name	Hongyang Xiao
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210127074
authorships[1].affiliations[0].raw_affiliation_string	Gynecology, Zhongshan Hospital, Fudan University, Shanghai, 200035, China.
authorships[1].institutions[0].id	https://openalex.org/I24943067
authorships[1].institutions[0].ror	https://ror.org/013q1eq08
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I24943067
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Fudan University
authorships[1].institutions[1].id	https://openalex.org/I4210127074
authorships[1].institutions[1].ror	https://ror.org/032x22645
authorships[1].institutions[1].type	healthcare
authorships[1].institutions[1].lineage	https://openalex.org/I4210127074
authorships[1].institutions[1].country_code	CN
authorships[1].institutions[1].display_name	Zhongshan Hospital
authorships[1].author_position	middle
authorships[1].raw_author_name	Hongyang Xiao
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Gynecology, Zhongshan Hospital, Fudan University, Shanghai, 200035, China.
authorships[2].author.id	https://openalex.org/A5101603566
authorships[2].author.orcid
authorships[2].author.display_name	Weihong Lu
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210124907
authorships[2].affiliations[0].raw_affiliation_string	Gynecology, Zhongshan Hospital Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[2].institutions[0].id	https://openalex.org/I24943067
authorships[2].institutions[0].ror	https://ror.org/013q1eq08
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I24943067
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Fudan University
authorships[2].institutions[1].id	https://openalex.org/I4210124907
authorships[2].institutions[1].ror	https://ror.org/02z125451
authorships[2].institutions[1].type	healthcare
authorships[2].institutions[1].lineage	https://openalex.org/I4210124907
authorships[2].institutions[1].country_code	CN
authorships[2].institutions[1].display_name	Zhongshan Hospital of Xiamen University
authorships[2].author_position	middle
authorships[2].raw_author_name	Weihong Lu
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Gynecology, Zhongshan Hospital Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[3].author.id	https://openalex.org/A5031618552
authorships[3].author.orcid	https://orcid.org/0000-0002-2581-951X
authorships[3].author.display_name	Jiayuan Chen
authorships[3].countries	CN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210124907
authorships[3].affiliations[0].raw_affiliation_string	Gynecology, Zhongshan Hospital Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[3].institutions[0].id	https://openalex.org/I24943067
authorships[3].institutions[0].ror	https://ror.org/013q1eq08
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I24943067
authorships[3].institutions[0].country_code	CN
authorships[3].institutions[0].display_name	Fudan University
authorships[3].institutions[1].id	https://openalex.org/I4210124907
authorships[3].institutions[1].ror	https://ror.org/02z125451
authorships[3].institutions[1].type	healthcare
authorships[3].institutions[1].lineage	https://openalex.org/I4210124907
authorships[3].institutions[1].country_code	CN
authorships[3].institutions[1].display_name	Zhongshan Hospital of Xiamen University
authorships[3].author_position	middle
authorships[3].raw_author_name	Jiayuan Chen
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Gynecology, Zhongshan Hospital Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[4].author.id	https://openalex.org/A5043121078
authorships[4].author.orcid	https://orcid.org/0000-0003-2216-7576
authorships[4].author.display_name	Chao Fan
authorships[4].countries	CN
authorships[4].affiliations[0].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210124907
authorships[4].affiliations[0].raw_affiliation_string	Urology, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[4].institutions[0].id	https://openalex.org/I24943067
authorships[4].institutions[0].ror	https://ror.org/013q1eq08
authorships[4].institutions[0].type	education
authorships[4].institutions[0].lineage	https://openalex.org/I24943067
authorships[4].institutions[0].country_code	CN
authorships[4].institutions[0].display_name	Fudan University
authorships[4].institutions[1].id	https://openalex.org/I4210124907
authorships[4].institutions[1].ror	https://ror.org/02z125451
authorships[4].institutions[1].type	healthcare
authorships[4].institutions[1].lineage	https://openalex.org/I4210124907
authorships[4].institutions[1].country_code	CN
authorships[4].institutions[1].display_name	Zhongshan Hospital of Xiamen University
authorships[4].author_position	middle
authorships[4].raw_author_name	Fan Chao
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Urology, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361006, Fujian, China.
authorships[5].author.id	https://openalex.org/A5064104271
authorships[5].author.orcid	https://orcid.org/0000-0002-5932-3053
authorships[5].author.display_name	Ruiqin Tu
authorships[5].countries	CN
authorships[5].affiliations[0].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210124907
authorships[5].affiliations[0].raw_affiliation_string	Zhongshan Hospital, Fudan University (Xiamen Branch), 668 Jinhu Road, Huli District, Xiamen, 361006, Fujian, China. [email protected].
authorships[5].affiliations[1].institution_ids	https://openalex.org/I24943067, https://openalex.org/I4210127074
authorships[5].affiliations[1].raw_affiliation_string	Gynecology, Zhongshan Hospital, Fudan University, Shanghai, 200035, China. [email protected].
authorships[5].institutions[0].id	https://openalex.org/I24943067
authorships[5].institutions[0].ror	https://ror.org/013q1eq08
authorships[5].institutions[0].type	education
authorships[5].institutions[0].lineage	https://openalex.org/I24943067
authorships[5].institutions[0].country_code	CN
authorships[5].institutions[0].display_name	Fudan University
authorships[5].institutions[1].id	https://openalex.org/I4210127074
authorships[5].institutions[1].ror	https://ror.org/032x22645
authorships[5].institutions[1].type	healthcare
authorships[5].institutions[1].lineage	https://openalex.org/I4210127074
authorships[5].institutions[1].country_code	CN
authorships[5].institutions[1].display_name	Zhongshan Hospital
authorships[5].institutions[2].id	https://openalex.org/I4210124907
authorships[5].institutions[2].ror	https://ror.org/02z125451
authorships[5].institutions[2].type	healthcare
authorships[5].institutions[2].lineage	https://openalex.org/I4210124907
authorships[5].institutions[2].country_code	CN
authorships[5].institutions[2].display_name	Zhongshan Hospital of Xiamen University
authorships[5].author_position	last
authorships[5].raw_author_name	Ruiqin Tu
authorships[5].is_corresponding	False
authorships[5].raw_affiliation_strings	Gynecology, Zhongshan Hospital, Fudan University, Shanghai, 200035, China. [email protected]., Zhongshan Hospital, Fudan University (Xiamen Branch), 668 Jinhu Road, Huli District, Xiamen, 361006, Fujian, China. [email protected].
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T12422
primary_topic.field.id	https://openalex.org/fields/27
primary_topic.field.display_name	Medicine
primary_topic.score	0.9653000235557556
primary_topic.domain.id	https://openalex.org/domains/4
primary_topic.domain.display_name	Health Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2741
primary_topic.subfield.display_name	Radiology, Nuclear Medicine and Imaging
primary_topic.display_name	Radiomics and Machine Learning in Medical Imaging
related_works	https://openalex.org/W2051487156, https://openalex.org/W2073681303, https://openalex.org/W4409439182, https://openalex.org/W4375867731, https://openalex.org/W2053286651, https://openalex.org/W2181743346, https://openalex.org/W2611989081, https://openalex.org/W2187401768, https://openalex.org/W2181413294, https://openalex.org/W4380075502
cited_by_count	0
locations_count	4
best_oa_location.id	doi:10.1007/s12672-025-03011-2
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4210213696
best_oa_location.source.issn	2730-6011
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2730-6011
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	True
best_oa_location.source.display_name	Discover Oncology
best_oa_location.source.host_organization	https://openalex.org/P4310319965
best_oa_location.source.host_organization_name	Springer Nature
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310319965
best_oa_location.source.host_organization_lineage_names	Springer Nature
best_oa_location.license	cc-by-nc-nd
best_oa_location.pdf_url	https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by-nc-nd
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Discover Oncology
best_oa_location.landing_page_url	https://doi.org/10.1007/s12672-025-03011-2
primary_location.id	doi:10.1007/s12672-025-03011-2
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4210213696
primary_location.source.issn	2730-6011
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2730-6011
primary_location.source.is_core	True
primary_location.source.is_in_doaj	True
primary_location.source.display_name	Discover Oncology
primary_location.source.host_organization	https://openalex.org/P4310319965
primary_location.source.host_organization_name	Springer Nature
primary_location.source.host_organization_lineage	https://openalex.org/P4310319965
primary_location.source.host_organization_lineage_names	Springer Nature
primary_location.license	cc-by-nc-nd
primary_location.pdf_url	https://link.springer.com/content/pdf/10.1007/s12672-025-03011-2.pdf
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by-nc-nd
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Discover Oncology
primary_location.landing_page_url	https://doi.org/10.1007/s12672-025-03011-2
publication_date	2025-07-01
publication_year	2025
referenced_works	https://openalex.org/W3119005666, https://openalex.org/W3114379642, https://openalex.org/W2941315472, https://openalex.org/W2168960836, https://openalex.org/W2111900617, https://openalex.org/W4280490777, https://openalex.org/W2911411908, https://openalex.org/W2947825023, https://openalex.org/W3176446229, https://openalex.org/W2592929672, https://openalex.org/W4380576977, https://openalex.org/W2943370629, https://openalex.org/W3135547872, https://openalex.org/W4318476612, https://openalex.org/W4313584770, https://openalex.org/W2896872272, https://openalex.org/W4391033579, https://openalex.org/W4225278456, https://openalex.org/W2033167930, https://openalex.org/W3024223418, https://openalex.org/W2616011222, https://openalex.org/W2214802907, https://openalex.org/W2922358453, https://openalex.org/W2924927402, https://openalex.org/W4293685816, https://openalex.org/W3204277253, https://openalex.org/W4397032023
referenced_works_count	27
abstract_inverted_index
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	6
citation_normalized_percentile.value	0.35124225
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False