Paper · 41234856
Deciphering immune landscapes: an ICD-lncRNA-derived prognostic signature for pancreatic adenocarcinoma.
Zhu H and 3 others. Transl Cancer Res, 2025. Cited by 0 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Deciphering immune landscapes: an ICD-lncRNA-derived prognostic signature for pancreatic adenocarcinoma. Papers, record 41234856. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/41234856
On this page
Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Deciphering immune landscapes: an ICD-lncRNA-derived prognostic signature for pancreatic adenocarcinoma.
- PubMed
Topics0
NLM's MeSH indexing of the paper, its major topics first.
None in this release.
Grants0
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.
None in this release.
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.
References53
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 | 32,247,999 | Immunotherapy for pancreatic cancer: A 2020 update. | Cancer Treat Rev | 2020 | https://conductscience.org/library/papers/32247999 | PubMed |
| 2 | 36,960,066 | cGAS-dependent proinflammatory and immune homeostatic effects of the microtubule-targeting agent paclitaxel. | Front Immunol | 2023 | https://conductscience.org/library/papers/36960066 | PubMed |
| 3 | 32,558,385 | A nomogram for predicting overall survival in patients with low-grade endometrial stromal sarcoma: A population-based analysis. | Cancer Commun (Lond) | 2020 | https://conductscience.org/library/papers/32558385 | PubMed |
| 4 | 20,979,621 | Differential expression analysis for sequence count data. | Genome Biol | 2010 | https://conductscience.org/library/papers/20979621 | PubMed |
| 5 | 34,188,210 | Advancing on pancreatic cancer. | Nat Rev Gastroenterol Hepatol | 2021 | https://conductscience.org/library/papers/34188210 | PubMed |
| 6 | 23,323,831 | GSVA: gene set variation analysis for microarray and RNA-seq data. | BMC Bioinformatics | 2013 | https://conductscience.org/library/papers/23323831 | PubMed |
| 7 | 39,325,106 | Comprehensive review of drug-mediated ICD inhibition of breast cancer: mechanism, status, and prospects. | Clin Exp Med | 2024 | https://conductscience.org/library/papers/39325106 | PubMed |
| 8 | 36,191,926 | Pancreatic Cancer: A Review of Current Treatment and Novel Therapies. | J Invest Surg | 2023 | https://conductscience.org/library/papers/36191926 | PubMed |
| 9 | 30,563,089 | Advancement of NF-κB Signaling Pathway: A Novel Target in Pancreatic Cancer. | Int J Mol Sci | 2018 | https://conductscience.org/library/papers/30563089 | PubMed |
| 10 | 34,046,668 | Technical advances in surgery for pancreatic cancer. | Br J Surg | 2021 | https://conductscience.org/library/papers/34046668 | PubMed |
1 to 10 of 53
See all 53 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 |
|---|---|---|---|---|
| LINC00705 | 338,588 | PubTator's text mining | https://conductscience.org/library/genes/338588 | NCBI Gene |
| LINC01091 | 285,419 | PubTator's text mining | https://conductscience.org/library/genes/285419 | NCBI Gene |
| ZEB2-AS1 | 100,303,491 | PubTator's text mining | https://conductscience.org/library/genes/100303491 | 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/v1/41234856
GET https://conductscience.org/api/papers/v1/41234856/references?page=2