Evidence map›Paper›PMID 32508056›Full record

ArticleClinical and translational medicine2020

A four-factor immune risk score signature predicts the clinical outcome of patients with spinal chordoma.

Ming-Xiang Zou, Yue Pan, Wei Huang, Tao-Lan Zhang, David Escobar, Xiao-Bin Wang, Yi Jiang, Xiao-Ling She, Guo-Hua Lv, Jing Li

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Ming-Xiang ZouDepartment of Spine Surgery, The First Affiliated Hospital, University of South China, Hengyang, China.
Yue PanDepartment of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Wei HuangInstitute of Precision Medicine, Xiangya Hospital, Central South University, Changsha, China.
Tao-Lan ZhangDepartment of Cancer Biology, College of Medicine & Life Sciences, University of Toledo, Toledo, Ohio.
David EscobarDepartment of Cancer Biology, College of Medicine & Life Sciences, University of Toledo, Toledo, Ohio.
Xiao-Bin WangDepartment of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Yi JiangDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China.
Xiao-Ling SheDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China.
Guo-Hua LvDepartment of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Jing LiDepartment of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-4516-3917
Central South University · CNUniversity of Toledo · US

Funding

National Natural Science Foundation of China 81802211National Natural Science Foundation of China 81871821Natural Science Foundation of Hunan Province 2018JJ3738Natural Science Foundation of Hunan Province 2019JJ50542Project for Clinical Research of Hunan Provincial Health Commission 20201956Project for Clinical Research of Hunan Provincial Health Commission 20201978
6 · The paper itself

Abstract

backgroundCurrently, the measurement of immune cells in previous studies is usually subjective, and no immune-based prognostic model has been established for chordoma. In this study, we sought to simultaneously measure tumor-infiltrating lymphocyte (TIL) subtypes in chordoma samples using an objective method and develop an immune risk score (IRS) model for survival prediction.

methodsMultiplexed quantitative immunofluorescence staining was used to determine the TIL levels in the tumoral and stromal subareas of 114 spinal chordoma specimens (54 in the training and 60 in the validation cohort) for programmed death-1 (PD-1), CD3, CD8, CD20 (where CD is cluster of differentiation), and FOXP3. Flow cytometry was performed to validate the immunofluorescence assay for lymphocyte measurement on an additional five fresh chordoma specimens. Subsequently, the IRS model was built using the least absolute shrinkage and selection operator (LASSO) Cox regression method.

resultsFlow cytometry and quantitative immunofluorescence showed similar lymphocytic percentages and TIL subpopulation proportions in the fresh tumor specimens. With the training data, the LASSO model identified four immune features for IRS construction:

conclusionsThese data support the use of the IRS signature as a reliable prognostic tool in spinal chordoma and may facilitate individualized therapy decision making for patients.

Indexed as

immune risk scoremultiplex immunofluorescencenomogramspinal chordomatumor-infiltrating lymphocytes

Identifiers

PMID32508056
PMCPMC7240847
OpenAlexW3033547545

What OpenQuestion holds

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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.