ConductScience.org, home

Paper · 41867770

Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer.

Forjaz A and 31 others. bioRxiv, 2026. Cited by 1 paper, by iCite.

11 sourcespapers-2026-11-12-0.1.0

Download JSON
Cite this record

ConductScience Library. Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer. Papers, record 41867770. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/41867770

On this page

Paper

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

Title
Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer.
PubMed
Journal
bioRxiv
PubMed
Year
2026
PubMed
Publication types
Journal Article, Preprint
PubMed
Citations, by iCite
1
iCite
Revised in PubMed
2026-09-21
PubMed

Authors32

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

OrderAuthorForenameKindORCID iD
1Forjaz AAndréhttps://orcid.org/0009-0002-5115-2293
2Mojdeganlou HHengameh
3Valentin AAlenshttps://orcid.org/0009-0003-4348-4527
4Wetzel MMeredithhttps://orcid.org/0009-0005-6955-3521
5Lvovs DDmitrijshttps://orcid.org/0009-0003-2152-6853
6Deshpande AAtulhttps://orcid.org/0000-0001-5144-6924
7Shin SMSarah Mhttps://orcid.org/0000-0002-7423-0090
8Piya SSujanhttps://orcid.org/0000-0002-8976-540X
9Rajapakshe KIKimal Ihttps://orcid.org/0000-0002-0472-858X
10Guerrero PAPaola A

1 to 10 of 32Source PubMed

See all 32 authors

Topics0

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

None in this release.

Grants5

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 itAgencyCountryNIH projectStated bySource
K08 CA259621NCI NIH HHSUnited StatesK08CA259621PubMedNIH RePORTER
T32 CA193145NCI NIH HHSUnited StatesT32CA193145PubMedNIH RePORTER
U54 CA268083NCI NIH HHSUnited StatesU54CA268083PubMedNIH RePORTER
U24 CA284156NCI NIH HHSUnited StatesU24CA284156PubMedNIH RePORTER
S10 OD034407NIH HHSUnited StatesS10OD034407PubMedNIH RePORTER

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.

References45

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

OrderPMIDTitleJournalYearIn PapersSource
141,592,755Computational Modeling of Cellular Influence Delineates Functionally Relevant and Distinct Cellular Neighborhoods in Primary and Metastatic Pancreatic Ductal Adenocarcinoma.Cancer Immunol Res2026https://conductscience.org/library/papers/41592755PubMed
234,889,852Pathologic Examination of Pancreatic Specimens Resected for Treated Pancreatic Ductal Adenocarcinoma: Recommendations From the Pancreatobiliary Pathology Society.Am J Surg Pathol2022https://conductscience.org/library/papers/34889852PubMed
338,424,144Semi-automated approaches for interrogating spatial heterogeneity of tissue samples.Sci Rep2024https://conductscience.org/library/papers/38424144PubMed
440,713,971Therapeutic targeting of syndecan-1 axis overcomes acquired resistance to KRAS-targeted therapy in gastrointestinal cancers.Cell Rep Med2025https://conductscience.org/library/papers/40713971PubMed
539,278,279Dual Targeting of Syndecan-1 and Glucose Transporter-1 With a Novel Lipid-Based Delivery System Enhances Therapeutic Efficacy and Overcomes Chemoresistance in Pancreatic Ductal Adenocarcinoma.Gastroenterology2025https://conductscience.org/library/papers/39278279PubMed
619,460,966Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer.Science2009https://conductscience.org/library/papers/19460966PubMed
739,636,224Human Pancreatic Cancer Single-Cell Atlas Reveals Association of CXCL10+ Fibroblasts and Basal Subtype Tumor Cells.Clin Cancer Res2025https://conductscience.org/library/papers/39636224PubMed
829,409,532SCANPY: large-scale single-cell gene expression data analysis.Genome Biol2018https://conductscience.org/library/papers/29409532PubMed
931,688,603Expression of Epithelial-Mesenchymal Transition Markers in Treated Pancreatic Ductal Adenocarcinoma.Pancreas2019https://conductscience.org/library/papers/31688603PubMed
1039,116,880PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration.Cell Syst2024https://conductscience.org/library/papers/39116880PubMed

Cited by0

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 1 citation.

None in this release.

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

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.

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

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/v1/41867770

GET https://conductscience.org/api/papers/v1/41867770/authors?page=2