Evidence map›Paper›PMID 42869988›Full record

ArticleNature genetics2026

Clonal heterogeneity in human pancreatic ductal adenocarcinoma and its impact on tumor progression.

Despoina Kalfakakou, Daniel C Cameron, Emily A Kawaler, Motoyuki Tsuda, Lidong Wang, Qi Su, Sungsik Kim, Elektra Manolakos, Xiaohong Jing, Cristina Hajdu and 20 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Melanoma evolution in the lymph node shapes systemic outcomes.bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Despoina KalfakakouDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-3369-2360
Daniel C CameronDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0009-0001-4102-0935
Emily A KawalerApplied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-7438-7282
Motoyuki TsudaDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
Lidong WangMoores Cancer Center, UC San Diego Health, San Diego, CA, USA.
Qi SuMoores Cancer Center, UC San Diego Health, San Diego, CA, USA.
Sungsik KimMoores Cancer Center, UC San Diego Health, San Diego, CA, USA.
Elektra ManolakosDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Xiaohong JingPerlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
Cristina HajduDepartment of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
Dylan L TamayoPerlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0009-0006-1750-9286
Yoona ShimPerlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0009-0006-0597-4674
Amanda AckermannPerlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0003-1746-7427
Daniel WeissingerPerlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
Hayley ZimnyDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.ORCID http://orcid.org/0009-0005-0747-318X
Rosmel HernandezPerlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
Matthew BeierDepartment of Surgery, NYU Grossman School of Medicine, New York, NY, USA.
Dacia DimartinoGenome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, NY, USA.
Peter MeynGenome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, NY, USA.
Kalina RiceExperimental Pathology Research Laboratory, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, NY, USA.
Shanmugapriya SelvarajExperimental Pathology Research Laboratory, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, NY, USA.
Cynthia LoomisExperimental Pathology Research Laboratory, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, NY, USA.
Adriana HeguyDepartment of Pathology, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-2836-6683
Amanda W LundDepartment of Pathology, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0001-7389-9983
Hannah CarterMoores Cancer Center, UC San Diego Health, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-1729-2463
Rosalie C SearsDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-1558-2413
Theodore H WellingMoores Cancer Center, UC San Diego Health, San Diego, CA, USA.
Igor DolgalevDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0003-4451-126X
Aristotelis Tsirigos *Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA. Aristotelis.Tsirigos@nyulangone.org.ORCID http://orcid.org/0000-0002-7512-8477
Diane M Simeone *Moores Cancer Center, UC San Diego Health, San Diego, CA, USA. dsimeone@health.ucsd.edu.ORCID http://orcid.org/0000-0001-5142-3087

Funding

POLQ Synthetic Lethality in HR-Deficient Pancreatic AdenocarcinomaR01CA245005 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SFEIR, AGNEL, SIMEONE, DIANE M · 2020 to 2024
$3.2M
U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics) R01CA245005
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer characterized by profound desmoplasia and cellular heterogeneity, which cannot be fully resolved using traditional bulk sequencing approaches. To understand how this heterogeneity contributes to PDAC biology, we analyzed a large cohort of primary tumors (n = 62) profiled using single-cell RNA sequencing (443,451 single cells), including a subset of 11 tumors with matched spatial transcriptomics (53,236 spots), to map clonal, transcriptional and spatial diversity. Moreover, our sample set includes a unique cohort of matched samples from six tumors collected before and after treatment with chemotherapy. Our analysis revealed notable intratumoral heterogeneity, with multiple genetically distinct neoplastic clones coexisting within individual tumors. We observed clone-specific ligand-receptor programs that are modulated by genomic dosage: amplifications of ligands or receptors enriched corresponding interactions, while deletions suppressed them, with genetically encoded differences supported by spatial transcriptomics and multiplex immunofluorescence. Phylogenetic integration identified focal 8q24 (MYC) amplification as recurrently associated with classical-to-basal transitions occurring within tumor lineages at a frequency above chance; these transitions were accompanied by coordinated depletion of immune-response programs. Functional perturbation experiments in murine and primary human models showed that MYC knockdown reactivates classical transcriptional programs and restores immune-response pathways, supporting a role for MYC in maintaining a basal, immune-depleted state. Spatial analyses further revealed dispersed clones enriched for epithelial-to-mesenchymal transition activity and immune suppression, correlating with metastatic potential and colonization of lymph node niches. These dispersed clones shifted toward a basal phenotype, contributing to disease progression. Our findings highlight the critical role of clonal diversity, transcriptional plasticity and tumor microenvironment interactions in shaping human PDAC biology. This work provides a detailed view of the molecular and spatial heterogeneity of PDAC and offers potential avenues for therapeutic intervention targeting clonal evolution and the mechanisms driving metastasis.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.