Evidence map›Paper›PMID 37996643›Full record

ArticleAnnals of surgical oncology2024

Characterizing the Immune Environment in Peritoneal Carcinomatosis: Insights for Novel Immunotherapy Strategies.

Patrick L Wagner, Chelsea M Knotts, Vera S Donneberg, Neda Dadgar, Christian X Cruz Pico, Kunhong Xiao, Ali Zaidi, Suzanne C Schiffman, Casey J Allen, Albert D Donnenberg and 1 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  7. Microorganisms · 2025
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  8. Article
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  12. Article
  13. Reconnaissance for Intraperitoneal Immunotherapy.Annals of surgical oncology · 2024
    Article
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Patrick L WagnerDivision of Surgical Oncology, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA. patrick.wagner@ahn.org.
Chelsea M KnottsDivision of Surgical Oncology, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Vera S DonnebergDepartment of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Neda DadgarCole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
Christian X Cruz PicoDivision of Surgical Oncology, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Kunhong XiaoAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Ali ZaidiEsophageal Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Suzanne C SchiffmanDivision of Surgical Oncology, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Casey J AllenDivision of Surgical Oncology, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Albert D DonnenbergDivision of Hematology and Cellular Therapy, Allegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
David L BartlettDivision of Surgical Oncology, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Allegheny Health Network · USCleveland Eye Clinic · USUniversity of Pittsburgh · US

Funding

Cancer Center Support Grant P30CA047904METAvivor FP00002718U.S. Department of Defense W81XWH2210009_BC210533U.S. Department of Defense W81XWH2211069_ BC211396
6 · The paper itself

Abstract

background or purposeCarcinomatosis, a distinct pattern of metastatic cancer in the peritoneal cavity, poses challenges for treatment and has limited therapeutic options. Understanding the immune environment of peritoneal surface malignancies is crucial for developing effective immunotherapeutic approaches. This study characterizes soluble immune mediators in the peritoneal fluid of patients with and without carcinomatosis to identify targets for novel treatment strategies. PATIENTS AND

methodsSerum and peritoneal fluid samples were collected from surgical patients, and a multianalyte analysis was performed using the Luminex platform. Patient characteristics, tumor sites, and sample collection details were recorded. Soluble immune mediator levels were measured and compared between peritoneal fluid and serum samples and among clinical subgroups. Statistical analysis was conducted to assess differences in analyte concentrations and correlations between samples.

resultsThere were 39 patients included in the study, with varying surgical indications. Significant differences were observed in soluble immune mediator levels between peritoneal fluid and serum, with peritoneal fluid exhibiting lower concentrations. Carcinomatosis was associated with elevated levels of proinflammatory mediators, including IL-6 and IL-8, while adaptive immune response markers were low in peritoneal fluid.

conclusionsThe peritoneal immune microenvironment in carcinomatosis favors innate immunity, presenting a challenging environment for effective antitumor response. High levels of proinflammatory mediators suggest potential targets for intervention, such as the IL-6 axis, FGF2, IL-8, and CCL2; these could be explored as potential mitigators of malignant ascites and enhance anti-tumor immune responses. These findings provide valuable insights for developing immunotherapy strategies and improving outcomes in patients with peritoneal carcinomatosis.

Indexed as

CarcinomaPeritoneal NeoplasmsAscitic FluidHumansImmunotherapyInterleukin-6Interleukin-8Tumor MicroenvironmentInterleukin-6Interleukin-8

Identifiers

PMID37996643
OpenAlexW4388947013

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.