ConductScience.org, home
Papers
API referenceFor AI assistants

Paper · 35196078

Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer.

Zhang K and 16 others. Sci Adv, 2022. Cited by 154 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

Download JSON
Cite this record

ConductScience Library. Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer. Papers, record 35196078. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/35196078

On this page

Paper

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

Title
Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer.
PubMed
Journal
Sci Adv
PubMed
Year
2022
PubMed
Publication types
Journal Article, Research Support, Non-U.S. Gov't
PubMed
Citations, by iCite
154
iCite
Relative citation ratio, by iCite
9.54
iCite
Revised in PubMed
2023-04-03
PubMed

Authors17

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

OrderAuthorForenameKindORCID iD
1Zhang KKaiyanghttps://orcid.org/0000-0002-0470-9581
2Erkan EPErdogan Pekcanhttps://orcid.org/0000-0001-9287-4773
3Jamalzadeh SSanazhttps://orcid.org/0000-0002-6425-9455
4Dai JJunhttps://orcid.org/0000-0001-6643-5216
5Andersson NNoorahttps://orcid.org/0000-0003-4708-7273
6Kaipio KKatja
7Lamminen TTarja
8Mansuri NNazihahttps://orcid.org/0000-0002-1606-8478
9Huhtinen KKaisahttps://orcid.org/0000-0001-9685-5246
10Carpén OOllihttps://orcid.org/0000-0002-7847-5706

1 to 10 of 17Source PubMed

See all 17 authors

Topics7

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

MeSH termMajor
Drug Resistance, NeoplasmMajor topic
Ovarian NeoplasmsMajor topic
Female
Humans
Sequence Analysis, RNA
Transcriptome
Exome Sequencing

Source PubMed

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.

References72

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

OrderPMIDTitleJournalYearIn PapersSource
131,239,542Targeting CXCL12/CXCR4 and myeloid cells to improve the therapeutic ratio in patient-derived cervical cancer models treated with radio-chemotherapy.Br J Cancer2019https://conductscience.org/library/papers/31239542PubMed
228,899,397Splatter: simulation of single-cell RNA sequencing data.Genome Biol2017https://conductscience.org/library/papers/28899397PubMed
331,819,264NicheNet: modeling intercellular communication by linking ligands to target genes.Nat Methods2020https://conductscience.org/library/papers/31819264PubMed
428,232,471Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer.J Exp Med2017https://conductscience.org/library/papers/28232471PubMed
531,948,481A benchmark of batch-effect correction methods for single-cell RNA sequencing data.Genome Biol2020https://conductscience.org/library/papers/31948481PubMed
628,960,196Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations.Nat Methods2017https://conductscience.org/library/papers/28960196PubMed
723,945,592Signatures of mutational processes in human cancer.Nature2013https://conductscience.org/library/papers/23945592PubMed
831,484,791Overcoming adaptive therapy resistance in AML by targeting immune response pathways.Sci Transl Med2019https://conductscience.org/library/papers/31484791PubMed
928,611,107IL6 Receptor Blockade Enhances Chemotherapy Efficacy in Pancreatic Ductal Adenocarcinoma.Mol Cancer Ther2017https://conductscience.org/library/papers/28611107PubMed
1030,366,930IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma.Cancer Discov2019https://conductscience.org/library/papers/30366930PubMed

1 to 10 of 72

See all 72 references

Cited by130

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 154 citations.

PMIDTitleJournalYearIn PapersSource
42,982,893Stromal APOL4 defines a cancer-associated fibroblast state that organizes a chemosensitive niche in ovarian cancer.Exp Mol Med2026https://conductscience.org/library/papers/42982893PubMed
42,974,638Artificial intelligence assisted genomic profiling of ovarian cancer liver metastases.Front Genet2026https://conductscience.org/library/papers/42974638PubMed
42,962,034Evidence of active whole-genome doubling (WGD) subclones in non-WGD tumors.Sci Adv2026https://conductscience.org/library/papers/42962034PubMed
42,923,094Epigenetic adaptations and vulnerabilities in ovarian cancer drug-tolerant persister cells.NAR Cancer2026https://conductscience.org/library/papers/42923094PubMed
42,911,976Multi-omics analysis of high-grade serous ovarian cancers reveals heterogeneity and distinct immunological patterns based upon clinico-genomic status.PLoS Genet2026https://conductscience.org/library/papers/42911976PubMed
42,811,363Uncovering pan-cancer signatures of chemoresistance.Genome Med2026https://conductscience.org/library/papers/42811363PubMed
42,633,216Chronic stress and myeloid immunosuppression in cancer: A neuroimmune link to behavioral dysfunction.Brain Behav Immun Health2026https://conductscience.org/library/papers/42633216PubMed
42,621,564Diversity within ovarian cancer subtypes and their tumor microenvironment.Front Oncol2026https://conductscience.org/library/papers/42621564PubMed
42,605,287Single-Cell Transcriptome Analysis Reveals IRF1-Driven Epithelial States and Glycosaminoglycan-Glycolysis Coupling in Cisplatin-Resistant HGSOC.Cancer Inform2026https://conductscience.org/library/papers/42605287PubMed
42,564,493DUSP5 contributes to platinum resistance in ovarian cancer: single-cell discovery and functional validation.Front Pharmacol2026https://conductscience.org/library/papers/42564493PubMed

1 to 10 of 130

See all 130 cited by

Genes97

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

GeneNCBI Gene IDLinked byIn GenesSource
ACTA259PubTator's text mininghttps://conductscience.org/library/genes/59NCBI Gene
AKR1C41,109PubTator's text mininghttps://conductscience.org/library/genes/1109NCBI Gene
AKT1207PubTator's text mininghttps://conductscience.org/library/genes/207NCBI Gene
APOE348PubTator's text mininghttps://conductscience.org/library/genes/348NCBI Gene
ATF3467PubTator's text mininghttps://conductscience.org/library/genes/467NCBI Gene
BCL6604PubTator's text mininghttps://conductscience.org/library/genes/604NCBI Gene
BIRC3330PubTator's text mininghttps://conductscience.org/library/genes/330NCBI Gene
BRCA1672PubTator's text mininghttps://conductscience.org/library/genes/672NCBI Gene
BRCA2675PubTator's text mininghttps://conductscience.org/library/genes/675NCBI Gene
C1QA712PubTator's text mininghttps://conductscience.org/library/genes/712NCBI Gene

1 to 10 of 97

See all 97 genes

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/v1/35196078

GET https://conductscience.org/api/papers/v1/35196078/references?page=2

API referenceFor AI assistants