Evidence map›Paper›PMID 42222378›Full record

ReviewFrontiers in oncology2026

The evolving role of the immune microenvironment of tumor draining lymph nodes in the development of biomarkers of non-small cell lung cancer.

Zhan Hao Xi, Benjamin Zollinger, Yusuke Koga, Jason Weis, Joshua D Campbell, Sarah A Mazzilli, Kei Suzuki

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. 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

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

7 authors.

Zhan Hao XiDepartment of Medicine, Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Benjamin ZollingerDivision of Thoracic Surgery, Inova Schar Cancer Institute, Fairfax, VA, United States.
Yusuke KogaDepartment of Medicine, Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Jason WeisDepartment of Medicine, Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Joshua D CampbellDepartment of Medicine, Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Sarah A MazzilliDepartment of Medicine, Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Kei SuzukiDivision of Thoracic Surgery, Inova Schar Cancer Institute, Fairfax, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality, and a substantial fraction of patients with resected early-stage disease experience recurrence despite curative-intent surgery. Current pathologic staging does not completely capture the biological heterogeneity that supports metastasis and drives relapse in node-negative patients. Development of robust prognostic and predictive biomarkers are needed to predict which early-stage patients are likely to progress and require additional treatment. Increasing evidence indicates that antitumor immunity is a major determinant of clinical outcome and therapeutic responsiveness. This is particularly relevant in the era of neoadjuvant, adjuvant, and perioperative immune checkpoint blockade where harnessing the potential antitumor properties of the immune system is essential. While most biomarker efforts have focused on the primary tumor alone, antitumor immune responses are orchestrated across multiple compartments, including tumor-surrounding lymph nodes, where antigen presentation, germinal center reactions including T and B cell priming and memory formation occur contributing to immunologic remodeling that can precede overt metastasis. Here, we review the cellular, transcriptional, and spatial architecture of the tumor-immune microenvironment (TIME) and lymph node immune microenvironment (LIME) in human NSCLC, emphasizing how immune cell composition, cell state, clonal dynamics, and spatial organization influence progression, recurrence risk, and response to immunomodulatory therapies. This review highlights the current technical and translational advantages and limitations of multimodal single cell technologies and discuss potential directions for early-stage NSCLC staging and optimizing therapy timing through leveraging TIME-LIME assessment utilizing multimodal technologies.

Indexed as

immunologylung cancerlymph node-immune microenvironmentmultiomicsnon-small cell lung cancersingle cell sequence (scRNA-seq)tumor draining lymph node (TDLN)tumor-immune microenvironment

Identifiers

PMID42222378
PMCPMC13219309

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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.