ArticleShock (Augusta, Ga.)2019
Murine Pancreatic Cancer Alters T Cell Activation and Apoptosis and Worsens Survival After Cecal Ligation and Puncture.
Article in Shock (Augusta, Ga.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Optimization of Preclinical Rodent Research Models of Human Shock: Part One Intra-Abdominal Sepsis.Shock (Augusta, Ga.) · 2026Review
- Parsimonious Subphenotyping Algorithms Perform Differently in Patients With Sepsis and Hematologic Malignancy.Critical care medicine · 2025Article
- The Calm after the Storm: Implications of Sepsis Immunoparalysis on Host Immunity.Journal of immunology (Baltimore, Md. : 1950) · 2023Review
- Cancer and sepsis.Clinical science (London, England : 1979) · 2023Article
- Of mice and men: Laboratory murine models for recapitulating the immunosuppression of human sepsis.Frontiers in immunology · 2022Review
- Can the Cecal Ligation and Puncture Model Be Repurposed To Better Inform Therapy in Human Sepsis?Infection and immunity · 2020Review
- Cutting Edge: Polymicrobial Sepsis Has the Capacity to Reinvigorate Tumor-Infiltrating CD8 T Cells and Prolong Host Survival.Journal of immunology (Baltimore, Md. : 1950) · 2019Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 2 countries.
Funding
Abstract
Patients with cancer who develop sepsis have a markedly higher mortality than patients who were healthy prior to the onset of sepsis. Potential mechanisms underlying this difference have previously been examined in two preclinical models of cancer followed by sepsis. Both pancreatic cancer/pneumonia and lung cancer/cecal ligation and puncture (CLP) increase murine mortality, associated with alterations in lymphocyte apoptosis and intestinal integrity. However, pancreatic cancer/pneumonia decreases lymphocyte apoptosis and increases gut apoptosis while lung cancer/CLP increases lymphocyte apoptosis and decreases intestinal proliferation. These results cannot distinguish the individual roles of cancer versus sepsis since different models of each were used. We therefore created a new cancer/sepsis model to standardize each variable. Mice were injected with a pancreatic cancer cell line and 3 weeks later cancer mice and healthy mice were subjected to CLP. Cancer septic mice had a significantly higher 10-day mortality than previously healthy septic mice. Cancer septic mice had increased CD4 T cells and CD8 T cells, associated with decreased CD4 T cell apoptosis 24 h after CLP. Further, splenic CD8+ T cell activation was decreased in cancer septic mice. In contrast, no differences were noted in intestinal apoptosis, proliferation, or permeability, nor were changes noted in local bacterial burden, renal, liver, or pulmonary injury. Cancer septic mice thus have consistently reduced survival compared with previously healthy septic mice, independent of the cancer or sepsis model utilized. Changes in lymphocyte apoptosis are common to cancer model and independent of sepsis model, whereas gut apoptosis is common to sepsis model and independent of cancer model. The host response to the combination of cancer and sepsis is dependent, at least in part, on both chronic comorbidity and acute illness.
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Registered trials
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.