Evidence map›Paper›PMID 35619699›Full record

ArticleFrontiers in immunology2022

Clinical Significance of a CD3/CD8-Based Immunoscore in Neuroblastoma Patients Using Digital Pathology.

Liang Zeng, Shu-Hua Li, Shuo-Yu Xu, Kai Chen, Liang-Jun Qin, Xiao-Yun Liu, Fang Wang, Sha Fu, Ling Deng, Feng-Hua Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Terminally exhausted CD8Frontiers in immunology · 2025
    Review
  6. CD20Heliyon · 2024
    Article
  7. 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

15 authors at 6 institutions in 1 country.

Liang ZengDepartment of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Shu-Hua LiMolecular Diagnosis and Gene Testing Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Shuo-Yu XuBio-totem Pte. Ltd., Foshan, China.
Kai ChenDepartment of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Liang-Jun QinDepartment of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Xiao-Yun LiuDepartment of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Fang WangDepartment of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Sha FuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Cellular & Molecular Diagnostics Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Ling DengDepartment of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Feng-Hua WangDepartments of Thoracic Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Lei MiaoDepartment of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Le LiDepartments of Thoracic Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Na LiuDepartment of Experimental Research, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Ran WangDepartment of Pathology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Hai-Yun WangDepartment of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, National Children's Medical Center for South Central Region, Guangzhou, China.
Guangzhou Medical University · CNSun Yat-sen University · CNState Key Laboratory of Oncology in South ChinaGuangzhou Women and Children Medical Center · CNNanfang Hospital · CNSun Yat-sen Memorial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infiltrating immune cells have been reported as prognostic markers in many cancer types. We aimed to evaluate the prognostic role of tumor-infiltrating lymphocytes, namely CD3+ T cells, CD8+ cytotoxic T cells and memory T cells (CD45RO+), in neuroblastoma. Patients and Methods: Immunohistochemistry was used to determine the expression of CD3, CD8 and CD45RO in the tumor samples of 244 neuroblastoma patients. We then used digital pathology to calculate the densities of these markers and derived an immunoscore based on such densities. Results: Densities of CD3+ and CD8+ T cells in tumor were positively associated with the overall survival (OS) and event-free survival (EFS), whereas density of CD45RO+ T cells in tumor was negatively associated with OS but not EFS. An immunoscore with low density of CD3 and CD8 (CD3-CD8-) was indictive of a greater risk of death (hazard ratio 6.39, 95% confidence interval 3.09-13.20) and any event (i.e., relapse at any site, progressive disease, second malignancy, or death) (hazard ratio 4.65, 95% confidence interval 2.73-7.93). Multivariable analysis revealed that the CD3-CD8- immunoscore was an independent prognostic indicator for OS, even after adjusting for other known prognostic indicators. Conclusions: The new immunoscore based on digital pathology evaluated densities of tumor-infiltrating CD3+ and CD8+ T cells contributes to the prediction of prognosis in neuroblastoma patients.

Indexed as

Neoplasm Recurrence, LocalNeuroblastomaCD8-Positive T-LymphocytesHumansLymphocytes, Tumor-InfiltratingPrognosisCD3/CD8 T cellsdigital pathologyimmunologyneuroblastomaprognosis

Identifiers

PMID35619699
PMCPMC9128405
OpenAlexW4229444252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.