ArticleCancer immunology, immunotherapy : CII2026
Immunological impact of tumor-draining lymph node dissection on systemic Th1-like CD4
Article in Cancer immunology, immunotherapy : CII, 2026. 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 1 paper.
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
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Who cites it
1 citing paper in PubMed.
- Immune remodeling of tumor-draining lymph nodes: mechanistic determinants of checkpoint blockade responsiveness.Frontiers in immunology · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTumor-draining lymph nodes (LNs) are critical for initiating and maintaining antitumor immunity. However, systematic LN dissection (LND) remains the standard surgical procedure for lung cancer. This study aimed to investigate the immunological impact of tumor-draining LND on systemic T cell subsets.
methodsWe prospectively analyzed perioperative peripheral blood and resected LN samples from patients with early-stage lung adenocarcinoma who underwent lobectomy with systematic LND (systematic LND group) or wedge resection without LND (LN-preserving group). Perioperative immune cell dynamics were comprehensively profiled using mass cytometry.
resultsUnlike conventional CD4
conclusionsPreserving LNs contributes to maintaining systemic antitumor immunity after surgery for early-stage lung cancer. Hilar, interlobar, and peripheral LNs may serve as primary reservoirs and supply sources of Th7R. In early-stage disease, these findings suggest a potential immunological benefit of LN-preserving strategies.
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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.