Evidence map›Paper›PMID 40904508›Full record

ReviewFrontiers in oncology2025

From trash to treasure: tumor draining lymph nodes as a multi-omics goldmine in cancer therapy.

Yina Li, Zihan Chen, Zhikun Guo, Jiangnan Yu, Jianan Lu, Lei Wang, Qian Zhou

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Yina LiInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Zihan ChenInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Zhikun GuoInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Jiangnan YuInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Jianan LuInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Lei WangInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Qian ZhouInternational Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor draining lymph nodes (TDLNs), as secondary lymphoid organs, are pivotal in initiating and regulating adaptive immune responses. Historically, TDLNs were recognized primarily as metastasis gateways in cancer, promoting radical dissection to prevent recurrence. However, emerging preclinical studies reveals their critical role in orchestrating systemic anti-tumor immune responses during cancer therapy, highlighting the dilemma of balancing lymph nodes (LNs) preservation with metastasis control. This review traces the evolving understanding of TDLN biology in oncology, from the era of radical LN dissection to multi-omics-driven insights, and synthesizes their dual roles as immune hubs and metastatic niches across first-line clinical therapies (e.g., immunotherapy, radiotherapy, chemotherapy, targeted therapy, etc.). We further propose the concept of "Lymph Node Multi-modal Protective Research (LNMPR)", emphasizing the prospective value of integrating multi-omics technologies, including spatial transcriptomics, single-cell profiling, and imaging, to decode LN immune dynamics and optimize therapeutic responses. By bridging mechanistic insights with clinical strategies, LN-centric immune modulation may open up a new path for precise tumor treatment.

Indexed as

chemotherapyimmunotherapyLNMPRmulti-omics technologyradiotherapyTDLN

Identifiers

PMID40904508
PMCPMC12402940

What OpenQuestion holds

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Registered trials

None linked

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.