Evidence map›Paper›PMID 38267903›Full record

ArticleBMC cancer2024

A novel computer-assisted tool for 3D imaging of programmed death-ligand 1 expression in immunofluorescence-stained and optically cleared breast cancer specimens.

Yi-Hsuan Lee, Chung-Yen Huang, Yu-Han Hsieh, Chia-Hung Yang, Yu-Ling Hung, Yung-An Chen, Yu-Chieh Lin, Ching-Hung Lin, Jih-Hsiang Lee, Ming-Yang Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. 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
0.3field-weighted citation impact, top 42% of its field
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 citations in OpenAlex.

  1. Article
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

13 authors at 2 institutions in 1 country.

Yi-Hsuan LeeDepartment of Pathology, National Taiwan University Hospital, Taipei, Taiwan.
Chung-Yen HuangDepartment of Pathology, National Taiwan University Hospital, Taipei, Taiwan.
Yu-Han HsiehJelloX Biotech Inc, Hsinchu, Taiwan.
Chia-Hung YangJelloX Biotech Inc, Hsinchu, Taiwan.
Yu-Ling HungJelloX Biotech Inc, Hsinchu, Taiwan.
Yung-An ChenJelloX Biotech Inc, Hsinchu, Taiwan.
Yu-Chieh LinJelloX Biotech Inc, Hsinchu, Taiwan.
Ching-Hung LinDepartment of Medical Oncology, Cancer Center Branch, National Taiwan University Hospital, Taipei, Taiwan.
Jih-Hsiang LeeDepartment of Oncology, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan.
Ming-Yang WangDepartment of Surgical Oncology, Cancer Center Branch, National Taiwan University Hospital, Taipei, Taiwan.
Wen-Hung KuoDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Yen-Yin LinJelloX Biotech Inc, Hsinchu, Taiwan.
Yen-Shen LuDepartment of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan. yslu@ntu.edu.tw.
National Taiwan University Hospital · TWGenMont Biotech (Taiwan) · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed death-1 (PD-1) and programmed death-ligand 1 (PD-L1) are the two most common immune checkpoints targeted in triple-negative breast cancer (BC). Refining patient selection for immunotherapy is non-trivial and finding an appropriate digital pathology framework for spatial analysis of theranostic biomarkers for PD-1/PD-L1 inhibitors remains an unmet clinical need.

methodsWe describe a novel computer-assisted tool for three-dimensional (3D) imaging of PD-L1 expression in immunofluorescence-stained and optically cleared BC specimens (n = 20). The proposed 3D framework appeared to be feasible and showed a high overall agreement with traditional, clinical-grade two-dimensional (2D) staining techniques. Additionally, the results obtained for automated immune cell detection and analysis of PD-L1 expression were satisfactory.

resultsThe spatial distribution of PD-L1 expression was heterogeneous across various BC tissue layers in the 3D space. Notably, there were six cases (30%) wherein PD-L1 expression levels along different layers crossed the 1% threshold for admitting patients to PD-1/PD-L1 inhibitors. The average PD-L1 expression in 3D space was different from that of traditional immunohistochemistry (IHC) in eight cases (40%). Pending further standardization and optimization, we expect that our technology will become a valuable addition for assessing PD-L1 expression in patients with BC.

conclusionVia a single round of immunofluorescence imaging, our approach may provide a considerable improvement in patient stratification for cancer immunotherapy as compared with standard techniques.

Indexed as

B7-H1 AntigenBreast NeoplasmsColoring AgentsComputersFemaleHumansImaging, Three-DimensionalImmune Checkpoint InhibitorsLigandsProgrammed Cell Death 1 ReceptorB7-H1 AntigenColoring AgentsImmune Checkpoint InhibitorsLigandsProgrammed Cell Death 1 ReceptorBreast cancerImmunofluorescence stainingOptical clearingProgrammed death-ligand 1Three-dimensional imaging

Identifiers

PMID38267903
PMCPMC10807239
OpenAlexW4391170919

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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.