Evidence map›Paper›PMID 38074633›Full record

ArticleFrontiers in oncology2023

Pre-treatment inflamed tumor immune microenvironment is associated with FOLFIRINOX response in pancreatic cancer.

Zachary Gao, Sung Wook Kang, Derek Erstad, Joseph Azar, George Van Buren, William Fisher, Zequn Sun, Mark P Rubinstein, Hyun-Sung Lee, E Ramsay Camp

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 4 institutions in 1 country.

Zachary GaoMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
Sung Wook KangMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
Derek ErstadMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
Joseph AzarThe Pelotonia Institute for Immuno-Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States.
George Van BurenMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
William FisherMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
Zequn SunDepartment of Preventative Medicine, Northwestern University Clinical and Translational Sciences Institute, Chicago, IL, United States.
Mark P RubinsteinThe Pelotonia Institute for Immuno-Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States.
Hyun-Sung LeeMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
E Ramsay CampMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States.
Baylor College of Medicine · USDan L Duncan Comprehensive Cancer CenterMichael E. DeBakey VA Medical Center · USNorthwestern University · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
CSRD VA I01 CX001880NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

Introduction: Pancreatic adenocarcinoma (PDAC) is an aggressive tumor with limited response to both chemotherapy and immunotherapy. Pre-treatment tumor features within the tumor immune microenvironment (TiME) may influence treatment response. We hypothesized that the pre-treatment TiME composition differs between metastatic and primary lesions and would be associated with response to modified FOLFIRINOX (mFFX) or gemcitabine-based (Gem-based) therapy. Methods: Using RNAseq data from a cohort of treatment-naïve, advanced PDAC patients in the COMPASS trial, differential gene expression analysis of key immunomodulatory genes in were analyzed based on multiple parameters including tumor site, response to mFFX, and response to Gem-based treatment. The relative proportions of immune cell infiltration were defined using CIBERSORTx and Dirichlet regression. Results: 145 samples were included in the analysis; 83 received mFFX, 62 received Gem-based therapy. Metastatic liver samples had both increased macrophage (1.2 times more, p < 0.05) and increased eosinophil infiltration (1.4 times more, p < 0.05) compared to primary lesion samples. Further analysis of the specific macrophage phenotypes revealed an increased M2 macrophage fraction in the liver samples. The pre-treatment CD8 T-cell, dendritic cell, and neutrophil infiltration of metastatic samples were associated with therapy response to mFFX (p < 0.05), while mast cell infiltration was associated with response to Gem-based therapy (p < 0.05). Multiple immunoinhibitory genes such as ADORA2A, CSF1R, KDR/VEGFR2, LAG3, PDCD1LG2, and TGFB1 and immunostimulatory genes including C10orf54, CXCL12, and TNFSF14/LIGHT were significantly associated with worse survival in patients who received mFFX (p = 0.01). There were no immunomodulatory genes associated with survival in the Gem-based cohort. Discussion: Our evidence implies that essential differences in the PDAC TiME exist between primary and metastatic tumors and an inflamed pretreatment TiME is associated with mFFX response. Defining components of the PDAC TiME that influence therapy response will provide opportunities for targeted therapeutic strategies that may need to be accounted for in designing personalized therapy to improve outcomes.

Indexed as

CIBERSORT2FOLFIRINOX3immunomodulator(s)4PDACpancreatic ductal adenocarcinoma1RNA sequencing5

Identifiers

PMID38074633
PMCPMC10701674
OpenAlexW4388942704

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.