Cited by 1,321Pancreatic and Hepatic Oncology ResearchPancreatitis Pathology and TreatmentPancreatic function and diabetes

The DOI matches its Crossref record; 301 of the 302 references it cites were found in a registry or an index; none of the 314 sources its claims cite is checked for support yet.

Pancreatic cancer: Advances and challenges

Open access
Halbrook, Christopher J., Lyssiotis, Costas A., Pasca di Magliano, Marina, Maitra, Anirban·2023·Cell

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers. Significant efforts have largely defined major genetic factors driving PDAC pathogenesis and progression. Pancreatic tumors are characterized by a complex microenvironment that orchestrates metabolic alterations and supports a milieu of interactions among various cell types within this niche. In this review, we highlight the foundational studies that have driven our understanding of these processes. We further discuss the recent technological advances that continue to expand our understanding of PDAC complexity. We posit that the clinical translation of these research endeavors will enhance the currently dismal survival rate of this recalcitrant disease.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review surveys how genomic drivers, the tumor microenvironment, metabolism, transcriptional subtypes, and new single-cell/spatial tools have reshaped understanding of pancreatic ductal adenocarcinoma, while noting that clinical gains remain limited. It argues that translating these biological insights into combination and biomarker-guided therapies is needed to improve the poor survival of this disease.

Key findings

  • PDAC is the third leading cause of cancer death in the United States and is projected to pass colorectal cancer before 2040; only about 12% of patients are predicted to survive beyond 5 years. Surgery is possible in only 15–20% at diagnosis, and even after resection nearly 3 in 4 patients recur within two years.
  • Early detection strongly affects outcome: patients with Stage IA/IB disease had about 80% five-year survival versus less than 10% for advanced disease, but such low-stage cases make up only 3–5% of diagnoses. In a high-risk surveillance trial, almost three-fourths of detected PDAC were Stage I and the same proportion were alive at five years. Neoadjuvant chemoradiation plus adjuvant chemotherapy improved five-year overall survival to 20.5% versus 6.5% with upfront surgery plus adjuvant therapy.
  • Genomic drivers are well defined: KRAS mutations occur in over 90% of samples, with KRASG12C in only 1.6% and KRASG12D in more than 40%; germline Fanconi anemia pathway mutations account for 5–7%, and KRAS wild-type alternative drivers for 8–10%. TP53, SMAD4, and CDKN2A loss are common, and CDKN2A/9p21 interferon-cluster loss is linked to an immune-cold environment.
  • The TME and metabolism drive resistance: CAFs, extracellular matrix, suppressive myeloid and adaptive immune populations, and metabolic crosstalk involving alanine, lactate, pyrimidines, and other substrates support tumor growth and therapy escape. Transcriptional subtypes have largely coalesced around classical and basal-like states, with the COMPASS trial showing better first-line 5-FU-based responses in classical tumors; single-cell and spatial methods reveal extensive intratumoral heterogeneity.

Methods

  • Narrative review; no original patient cohort, clinical trial, or laboratory experiment is reported. It synthesizes published literature, preclinical models, and clinical trial results.
  • Thematically organized around treatment paradigms, precursor lesions, genomic drivers, cell-of-origin, transcriptional subtypes, TME, metabolism, new technologies, and clinical trial design.
  • Main analysis is qualitative synthesis and interpretation; no systematic search, meta-analysis, or formal risk-of-bias assessment is described.

Limitations

  • The paper states that biomarker research is not covered in depth and that cancer vaccines and antibody-drug conjugates are outside its scope.
  • Evident from the text: as a narrative review, it does not use a systematic search strategy or formal evidence grading, so selection and interpretation may be selective.
  • Evident: many mechanistic and therapeutic claims rely on mouse or preclinical models, and the authors note preclinical models are imperfect and trial translation has often failed; clinical heterogeneity and subtype plasticity further limit generalization.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.cell.2023.02.014

Cites

301 of 301 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 314 cited sources checked · 0 supported · 0 flagged

Show all 166 claims

  • It may state two separate claims as one. 81
  • Probably not a substantial claim. 10
  • The quote only partly states this claim. 1
87 of 87
  • The paper relies on this without support.

    Patients with Stage IA/IB PDAC are typically diagnosed incidentally and make up no more than 3–5% of cases.

    “patients with such low stage tumors are typically diagnosed incidentally and comprise no more than 3–5% of cases.”
  • The paper relies on this without support.

    CA19-9 is the most widely used diagnostic biomarker for PDAC but has suboptimal sensitivity in early-stage disease.

    “The carbohydrate antigen 19–9 (CA19–9), also known as sialyl-Lewisa, is currently the most widely used diagnostic biomarker for PDAC, although it has a suboptimal sensitivity in early-stage disease.”
  • The paper relies on this without support.

    CDKN2A is often lost by homozygous deletions at chromosome 9p21, which is associated with codeletions of a neighboring interferon cluster in half of cases.

    “CDKN2A is often lost by homozygous deletions at the chromosomal 9p21 locus, which is associated with codeletions of a neighboring interferon cluster in half of cases.”
  • The paper relies on this without support.

    Neoplastic cells in PDAC often constitute a minority of the overall cellularity within the tumor.

    “The neoplastic cells in PDAC often constitute a minority of the overall cellularity within the tumor.”
  • The paper relies on this without support.

    The aggressive biology, therapy resistance, and heterogeneity of PDAC are driven nearly as much by non-cancerous tumor components as by PDAC cells.

    “Indeed, the aggressive biology, resistance to therapy, and heterogeneity of the disease is driven nearly as much by the non-cancerous components of the tumor as the PDAC cells.”
  • The paper relies on this without support.

    Myeloid cell populations make up the largest immune cell population in pancreatic tumors.

    “Myeloid cell populations make up the largest immune cell population in pancreatic tumors (Fig. 3).”
  • The paper relies on this without support.

    A lack of infiltration by cytotoxic CD8 T cells is a notable feature of the PDAC tumor microenvironment.

    “One of the most notable features of the PDAC TME is the lack of infiltration by cytotoxic CD8 T cells.”
  • The paper relies on this without support.

    Physical barriers in PDAC tumors limit access to blood-derived nutrients and oxygen, leading to dysregulated nutrient profiles and regional hypoxia.

    “The physical barriers imposed within PDAC tumors function to limit access to blood-derived nutrients and oxygen, leading to dysregulate nutrient profiles and promote regional hypoxia.”
  • The paper relies on this without support.

    PDAC cells exhibit numerous adaptations that allow them to survive and thrive under the nutrient constraints imposed by the tumor microenvironment.

    “PDAC cells exhibit numerous adaptations to not only survive but thrive under the nutrient constraints imposed by the TME.”
  • The paper relies on this without support.

    Neoplastic epithelial cells within PDAC tumors are often vastly outnumbered by stromal and immune cell populations.

    “the neoplastic epithelial cells within PDAC tumors are often vastly outnumbered by the stromal and immune cell populations.”
  • The paper relies on this without support.

    The varied localization, motility, and function of stromal and immune cell populations translate to differential nutrient requirements and can lead to tumor-supporting metabolic interactions.

    “The varied localization, motility, and function of these different cell populations translate to differential nutrient requirements and can lead to tumor-supporting metabolic interactions.”
  • The paper relies on this without support.

    These symbiotic metabolic interactions fuel PDAC metabolism, promote resistance to chemotherapy, and drive mechanisms of immune suppression.

    “These symbiotic interactions fuel PDAC metabolism, promote resistance to chemotherapy, and drive mechanisms of immune suppression (Figure 4b).”
  • The paper relies on this without support.

    Among common solid cancers, PDAC is among the most frequent to fail Phase 3 trials.

    “In fact, PDAC suffers from one of the highest rates of Phase 3 failures amongst common solid cancers.”
  • The paper relies on this without support.

    A treatment's clinical success depends critically on the underlying tumor biology.

    “The indelible lessons we continue to learn are that the past is prologue and that the underlying biology remains one of the most pivotal arbitrators of meaningful success in the clinic.”
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Each contradiction between two passages listed here was confirmed by an independent check.

  • GM-CSF is given two different names

    Minor

    The text expands GM-CSF as granulocyte colony stimulating factor, while a cited reference expands it as granulocyte-macrophage colony-stimulating factor. Those names denote different factors.

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Metadata

Authors
Halbrook, C. J., Lyssiotis, C. A., Pasca di Magliano, M., & Maitra, A.
Affiliations
  • University of California, Irvine (US)
  • University of Michigan (US)
  • The University of Texas MD Anderson Cancer Center (US)
Venue
Cell
Publisher
Elsevier BV
Published
2023-04
Volume
186
Issue
8
Pages
1729-1754
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2182290275
Cited by
1,321
References
302
Citations by year
2026: 406 · 2025: 476 · 2024: 358 · 2023: 81
FWCI
43.30
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
  • Digital Commons-TMC (Texas Medical Center) (submittedVersion)
Funders
  • National Institutes of Health (1r01ca264843-01a1)
  • National Cancer Institute (R01-CA264843, P50CA221707, R01CA248160, R01CA220236, R01CA244931, R00CA241357, P30CA046592, U54CA274371, P30CA062203, U01CA274154, R01CA271510, R37CA237421, R01CA260752, U24CA274274, U01CA200468)
Topics
  • Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
  • Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
Keywords
pancreatic ductal adenocarcinoma, tumor microenvironment, cancer metabolism, tumor progression, clinical translation, survival
MeSH terms
Humans, Pancreatic Neoplasms, Prognosis, Carcinoma, Pancreatic Ductal, Early Diagnosis, Tumor Microenvironment

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