Paper · 42856962
Super-Resolution MRI-Derived Tumor-Stroma Ratio Phenotyping for Prognostic and Therapeutic Stratification in Pancreatic Ductal Adenocarcinoma.
Wang X and 13 others. MedComm (2020), 2026.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Super-Resolution MRI-Derived Tumor-Stroma Ratio Phenotyping for Prognostic and Therapeutic Stratification in Pancreatic Ductal Adenocarcinoma. Papers, record 42856962. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42856962
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Super-Resolution MRI-Derived Tumor-Stroma Ratio Phenotyping for Prognostic and Therapeutic Stratification in Pancreatic Ductal Adenocarcinoma.
- Journal
- MedComm (2020)
- Year
- 2026
- Publication types
- Journal Article
- Revised in PubMed
- 2026-10-12
Source PubMed
Topics0
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Trials0
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Comments and corrections0
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References40
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 | 37,059,070 | Pancreatic cancer: Advances and challenges. | Cell | 2023 | https://conductscience.org/library/papers/37059070 | PubMed |
| 2 | 32,749,238 | Pancreatic ductal adenocarcinoma progression is restrained by stromal matrix. | J Clin Invest | 2020 | https://conductscience.org/library/papers/32749238 | PubMed |
| 3 | 30,506,016 | Stromal Content Is Correlated With Tissue Site, Contrast Retention, and Survival in Pancreatic Adenocarcinoma. | JCO Precis Oncol | 2018 | https://conductscience.org/library/papers/30506016 | PubMed |
| 4 | 34,563,443 | Magnetic Resonance Radiomics and Machine-learning Models: An Approach for Evaluating Tumor-stroma Ratio in Patients with Pancreatic Ductal Adenocarcinoma. | Acad Radiol | 2022 | https://conductscience.org/library/papers/34563443 | PubMed |
| 5 | 37,345,012 | Tumor-Stroma Ratio in Colorectal Cancer-Comparison between Human Estimation and Automated Assessment. | Cancers (Basel) | 2023 | https://conductscience.org/library/papers/37345012 | PubMed |
| 6 | 39,510,840 | Genetics and biology of pancreatic ductal adenocarcinoma. | Genes Dev | 2025 | https://conductscience.org/library/papers/39510840 | PubMed |
| 7 | 38,129,708 | Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma. | Insights Imaging | 2023 | https://conductscience.org/library/papers/38129708 | PubMed |
| 8 | 38,411,963 | Tumor-Stroma Proportion to Predict Chemoresistance in Patients With Ovarian Cancer. | JAMA Netw Open | 2024 | https://conductscience.org/library/papers/38411963 | PubMed |
| 9 | 34,035,226 | Single-cell analysis of pancreatic ductal adenocarcinoma identifies a novel fibroblast subtype associated with poor prognosis but better immunotherapy response. | Cell Discov | 2021 | https://conductscience.org/library/papers/34035226 | PubMed |
| 10 | 30,080,738 | The Strain Ratio as Obtained by Endoscopic Ultrasonography Elastography Correlates With the Stroma Proportion and the Prognosis of Local Pancreatic Cancer. | Ann Surg | 2020 | https://conductscience.org/library/papers/30080738 | PubMed |
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Data dates
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- 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.
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