Paper · 42498744
Chinese expert consensus on precision testing and molecular diagnosis of pancreatic cancer (2025).
Cao D and 19 others. Br J Cancer, 2026. Cited by 0 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Chinese expert consensus on precision testing and molecular diagnosis of pancreatic cancer (2025). Papers, record 42498744. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42498744
On this page
Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Chinese expert consensus on precision testing and molecular diagnosis of pancreatic cancer (2025).
- PubMed
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Carcinoma, Pancreatic Ductal | Major topic |
| Molecular Diagnostic Techniques | Major topic |
| Pancreatic Neoplasms | Major topic |
| Precision Medicine | Major topic |
| Humans | |
| Biomarkers, Tumor | |
| China | |
| Prognosis |
Source PubMed
Grants1
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by |
|---|---|---|---|---|
| 82573943 | National Natural Science Foundation of China (National Science Foundation of China) | PubMed |
Source PubMed
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References57
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 | 40,187,844 | Pancreatic cancer. | Lancet | 2025 | https://conductscience.org/library/papers/40187844 | PubMed |
| 2 | 37,798,442 | Therapeutic developments in pancreatic cancer. | Nat Rev Gastroenterol Hepatol | 2024 | https://conductscience.org/library/papers/37798442 | PubMed |
| 3 | 25,719,666 | Whole genomes redefine the mutational landscape of pancreatic cancer. | Nature | 2015 | https://conductscience.org/library/papers/25719666 | PubMed |
| 4 | 26,909,576 | Genomic analyses identify molecular subtypes of pancreatic cancer. | Nature | 2016 | https://conductscience.org/library/papers/26909576 | PubMed |
| 5 | 6,380,323 | Consensus methods: characteristics and guidelines for use. | Am J Public Health | 1984 | https://conductscience.org/library/papers/6380323 | PubMed |
| 6 | 35,231,699 | Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer. | EBioMedicine | 2022 | https://conductscience.org/library/papers/35231699 | PubMed |
| 7 | 29,922,827 | Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer. | JAMA | 2018 | https://conductscience.org/library/papers/29922827 | PubMed |
| 8 | 31,292,550 | Tumour lineage shapes BRCA-mediated phenotypes. | Nature | 2019 | https://conductscience.org/library/papers/31292550 | PubMed |
| 9 | 25,741,868 | Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. | Genet Med | 2015 | https://conductscience.org/library/papers/25741868 | PubMed |
| 10 | 28,481,359 | Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. | Nat Med | 2017 | https://conductscience.org/library/papers/28481359 | PubMed |
1 to 10 of 57
See all 57 referencesCited by0
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 0 citations.
None in this release.
Genes3
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
| Gene | NCBI Gene ID | Linked by | In Genes | Source |
|---|---|---|---|---|
| BRCA1 | 672 | PubTator's text mining | https://conductscience.org/library/genes/672 | NCBI Gene |
| KRAS | 3,845 | PubTator's text mining | https://conductscience.org/library/genes/3845 | NCBI Gene |
| RBBP4 | 5,928 | PubTator's text mining | https://conductscience.org/library/genes/5928 | NCBI Gene |
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- 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
Each source's terms
- 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.
For software
Read this paper from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/papers/v1/42498744
GET https://conductscience.org/api/papers/v1/42498744/references?page=2