Evidence map›Paper›PMID 38798691›Full record

ArticleResearch square2024

Enhanced Complement Expression in the Tumor Microenvironment Following Neoadjuvant Therapy: Implications for Immunomodulation and Survival in Pancreatic Ductal Adenocarcinoma.

Xiaofei Zhang, Ruoxin Lan, Yongjun Liu, Venu G Pillarisetty, Danting Li, Chaohui L Zhao, Suparna A Sarkar, Weiguo Liu, Iman Hanna, Mala Gupta and 6 more

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Xiaofei ZhangDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI.
Ruoxin LanDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
Yongjun LiuDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI.
Venu G PillarisettyDepartment of Surgery, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0002-1162-9643
Danting LiDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
Chaohui L ZhaoDepartment of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY.
Suparna A SarkarDepartment of Pathology and Laboratory Medicine, New York University Grossman School of Medicine, New York, NY.
Weiguo LiuDepartment of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY.
Iman HannaDepartment of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY.
Mala GuptaDepartment of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY.
Cristina HajduDepartment of Pathology and Laboratory Medicine, New York University Grossman School of Medicine, New York, NY.
Jonathan MelamedDepartment of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY.
Michael ShustermanDepartment of Oncology, New York University Grossman Long Island School of Medicine, Long Island, NY.
Jessica WidmerDepartment of Gastroenterology, New York University Grossman Long Island School of Medicine, Long Island, NY.
John AllendorfDepartment of Surgery, New York University Grossman Long Island School of Medicine, Long Island, NY.
Yao-Zhong LiuDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
Automated Tissue MicroarrayerS10OD023526 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI MATKOWSKYJ, KRISTINA A. · 2018 to 2018
$184k
NCI NIH HHS P30 CA014520NIH HHS S10 OD023526
6 · The paper itself

Abstract

Background: Neoadjuvant therapy (NAT) is increasingly being used for pancreatic ductal adenocarcinoma (PDAC) treatment. However, its specific effects on carcinoma cells and the tumor microenvironment (TME) are not fully understood. This study aims to investigate how NAT differentially impacts PDAC's carcinoma cells and TME. Methods: Spatial transcriptomics was used to compare gene expression profiles in carcinoma cells and the TME between 23 NAT-treated and 13 NAT-naïve PDAC patients, correlating with their clinicopathologic features. Analysis of an online single-nucleus RNA sequencing (snRNA-seq) dataset was performed for validation of the specific cell types responsible for NAT-induced gene expression alterations. Results: NAT not only induces apoptosis and inhibits proliferation in carcinoma cells but also significantly remodels the TME. Notably, NAT induces a coordinated upregulation of multiple key complement genes (C3, C1S, C1R, C4B and C7) in the TME, making the complement pathway one of the most significantly affected pathways by NAT. Patients with higher TME complement expression following NAT exhibit improved overall survival. These patients also exhibit increased immunomodulatory and neurotrophic cancer-associated fibroblasts (CAFs); more CD4 Conclusions: NAT can enhance complement production and signaling within the TME, which is associated with reduced immunosuppression in PDAC. These findings suggest that local complement dynamics could serve as a novel biomarker for prognosis, evaluating treatment response and resistance, and guiding therapeutic strategies in NAT-treated PDAC patients.

Indexed as

ComplementImmune exhaustionNeoadjuvant therapy (NAT)Pancreatic ductal adenocarcinoma (PDAC)Spatial TranscriptomicsTumor microenvironment (TME)

Identifiers

PMID38798691
PMCPMC11118688

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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.