Evidence map›Paper›PMID 39958353›Full record

ArticleFrontiers in immunology2025

A novel approach to digital characterisation of Tertiary Lymphoid Structures in colorectal cancer.

Luis Munoz-Erazo, Saem Mul Park, Shelly Lin, Chun-Jen J Chen, Lisa Y Y Zhou, Janet L Rhodes, Taesung Jeon, Sonya Fenton, John L McCall, Roslyn A Kemp and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Decoding the breast cancer microenvironment by spatial multi-omics: from architecture to clinical translation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. 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

11 authors.

Luis Munoz-Erazo *School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Saem Mul Park *School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Shelly LinSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Chun-Jen J ChenSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Lisa Y Y ZhouSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Janet L RhodesMaurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.
Taesung JeonDepartment of Pathology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sonya FentonDepartment of Surgical Sciences, The University of Otago, Dunedin, New Zealand.
John L McCallDepartment of Surgical Sciences, The University of Otago, Dunedin, New Zealand.
Roslyn A KempMaurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.
P Rod DunbarSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tertiary Lymphoid Structures (TLS) in cancer tissue are potential sites for the organisation of immune responses to cancer, and correlate positively with improved clinical outcomes for patients including in colorectal cancer (CRC). However it has proven challenging to standardise assessment of TLS due to the highly variable appearances of circumscribed domains of TLS within tissue sections. A recent three-dimensional reconstruction of TLS in CRC tissue showed that TLS are often large, multi-lobular structures, suggesting that assessing TLS across whole sections may be necessary to provide an accurate view of TLS activity in a patient's tumour. Methods: We used whole-section scans of multiplexed immunofluorescence images to characterise TLS from 22 subjects with CRC. Multiplexed staining for CD20, CD3, CD8, Foxp3 and Ki-67 enabled us to identify B-cells, CD8+ T-cells, Foxp3- CD4 T-cells, and Foxp3+ CD4 Tcells in all sections, and quantify both the presence of these cell subsets in lymphocytic clusters and their degree of proliferation within those clusters. Results: In total we identified 524 lymphocytic clusters with morphology consistent with TLS. TLS domains varied substantially between samples in size, morphology, cellular constituents, count (from 4 to 100), and proportion of total section area they occupied (0.2%-7.8%). We quantified proliferation of B-cells and T-cell subsets within TLS domains across entire sections and compared data to the canonical approach of counting and phenotyping individual TLS domains. The whole-slide approach proved simpler, generating digital summaries that readily identified patients with strikingly different levels of immune activity within their TLS. Strong correlations were observed between the proliferation of B-cells and T-cell subsets. The presence of non-proliferating Foxp3+ CD4 T-cells within TLS showed no correlation with the level of proliferation of other lymphocyte subsets. Discussion: Whole-section digital quantification of immune cell activity within TLS has advantages over canonical approaches, and could accelerate research into correlations between TLS status and clinical outcomes, with potential to enable a standardised assay for clinical use.

Indexed as

Colorectal NeoplasmsLymphocytes, Tumor-InfiltratingTertiary Lymphoid StructuresAgedAged, 80 and overFemaleHumansMaleMiddle Agedcolorectal cancerdigital pathologyfluorescent multiplex IHCquantitative multiplex immunohistochemistrytertiary lymphoid structure

Identifiers

PMID39958353
PMCPMC11827424

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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.