Paper · 42947149

CTC-AttnNet: development and validation of an attention-based neural network for staging gastrointestinal malignancies.

Li L and 8 others. World J Surg Oncol, 2026.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. CTC-AttnNet: development and validation of an attention-based neural network for staging gastrointestinal malignancies. Papers, record 42947149. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42947149

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: CTC-AttnNet: development and validation of an attention-based neural network for staging gastrointestinal malignancies.
Journal: World J Surg Oncol
Year: 2026
Publication types: Journal Article, Validation Study
PubMed: https://pubmed.ncbi.nlm.nih.gov/42947149/
DOI: https://doi.org/10.1186/s12957-026-04530-0
PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC13715243/
The journal: https://conductscience.org/library/journal-index/101170544
Revised in PubMed: 2026-10-30

Source PubMed

Authors9

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename
1	Li L	Liang
2	Sun C	Chudi
3	Wang S	Shuiri
4	Qiang H	Hao
5	Liu Z	Zhou
6	Wang H	Haojie
7	Qi Z	Zhengtang
8	Zhang L	Lin
9	Liu Z	Zhining

Source PubMed

Topics14

NLM's MeSH indexing of the paper, its major topics first.

MeSH term	Major
Gastrointestinal Neoplasms	Major topic
Neoplastic Cells, Circulating	Major topic
Biomarkers, Tumor	Major topic
Neural Networks, Computer	Major topic
Neoplasm Recurrence, Local	Major topic
Humans
Female
Retrospective Studies
Neoplasm Staging
Male
Prognosis
Follow-Up Studies
Middle Aged
Aged

Source PubMed

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Comments and corrections0

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References24

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

Order	PMID	Title	Journal	Year	In Papers	Source
1	34,391,053	Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review.	Eur J Cancer	2021	https://conductscience.org/library/papers/34391053	PubMed
2	39,123,202	Recent developments in immunotherapy for gastrointestinal tract cancers.	J Hematol Oncol	2024	https://conductscience.org/library/papers/39123202	PubMed
3	33,591,350	Diagnosis and Treatment of Metastatic Colorectal Cancer: A Review.	JAMA	2021	https://conductscience.org/library/papers/33591350	PubMed
4	28,238,187	Circulating tumor cells: clinical validity and utility.	Int J Clin Oncol	2017	https://conductscience.org/library/papers/28238187	PubMed
5	34,802,071	Circulating tumor cells in colorectal cancer in the era of precision medicine.	J Mol Med (Berl)	2022	https://conductscience.org/library/papers/34802071	PubMed
6	41,731,505	The impact of neoadjuvant chemotherapy on safety and long-term survival in patients with locally advanced colon cancer.	World J Surg Oncol	2026	https://conductscience.org/library/papers/41731505	PubMed
7	34,589,181	Machine learning and deep learning methods that use omics data for metastasis prediction.	Comput Struct Biotechnol J	2021	https://conductscience.org/library/papers/34589181	PubMed
8	37,268,719	Circulating tumour cells for early detection of clinically relevant cancer.	Nat Rev Clin Oncol	2023	https://conductscience.org/library/papers/37268719	PubMed
9	32,557,169	In Vivo Detection of CTC and CTC Plakoglobin Status Helps Predict Prognosis in Patients with Metastatic Breast Cancer.	Pathol Oncol Res	2020	https://conductscience.org/library/papers/32557169	PubMed
10	39,441,869	Detection of circulating tumor cells in non-metastatic prostate cancer through integration of a microfluidic CTC enrichment system and multiparametric flow cytometry.	PLoS One	2024	https://conductscience.org/library/papers/39441869	PubMed

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Cited by0

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Data dates

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PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

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ClinicalTrials.govNo license stated
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iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

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ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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