Evidence map›Paper›PMID 42086952›Full record

ReviewCancer metastasis reviews2026

The immunobiology of pancreatic cancer metastasis: premetastatic niche formation, organ-specific immune landscapes, and therapeutic opportunities.

Daniel R Principe

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer metastasis reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Daniel R PrincipeDepartment of Medicine, Division of Hematology and Oncology, Northwestern University, 303 E. Superior Ave., Lurie 3-117, Chicago, IL, 60611, USA. daniel.principe@northwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is associated with poor overall survival and is largely refractory to standard therapies. Most patients present with locally advanced or metastatic disease, and those with early-stage tumors amenable to surgical resection face high rates of metastatic relapse. Despite the many successes of immunotherapy in other solid tumors, these approaches have shown only marginal activity in PDAC. In PDAC, metastasis occurs through a coordinated, multistep process characterized by a gradient loss of immune surveillance. This process begins with establishment of a receptive premetastatic niche, which occurs via conditioning of distant tissues by tumor-derived exosomes and the recruitment of myeloid cells, leading to extracellular matrix remodeling and local immunosuppression prior to metastatic dissemination. On arrival of metastatic cells, tissues undergo organ-specific immune editing with important implications for therapeutic vulnerability. Importantly, liver metastases maintain a profoundly immunosuppressive environment whereas lung metastases have higher immune activity. These observations challenge the prevailing assumption that insights from primary tumors are broadly applicable to metastatic disease, establishing metastatic PDAC as a distinct immunologic entity. This framework identifies unique therapeutic opportunities across the disease spectrum from early interventions targeting premetastatic niche formation to site-specific strategies for established metastatic disease.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAnimalsHumansImmunotherapyNeoplasm MetastasisTumor MicroenvironmentImmunotherapy resistanceMetastasisPancreatic ductal adenocarcinomaTumor immunologyTumor microenvironment

Identifiers

PMID42086952

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.