Evidence map›Paper›PMID 35619907›Full record

ArticleFrontiers in oncology2022

The Role of PD-L1 Expression in Prediction and Stratification of Recurrent or Refractory Extranodal Natural Killer/T-Cell Lymphoma.

Li-Min Gao, Yue-Hua Zhang, Xiaoliang Shi, Yang Liu, Junwei Wang, Wen-Yan Zhang, Wei-Ping Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. A Masked Intruder: Extranodal Natural Killer/T-Cell Lymphoma Mimicking Preseptal Cellulitis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026
    Article
  2. Article
  3. 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 at 3 institutions in 1 country.

Li-Min GaoDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Yue-Hua ZhangDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Xiaoliang ShiDepartment of Medical Product, OrigiMed, Inc., Shanghai, China.
Yang LiuDepartment of Medical Product, OrigiMed, Inc., Shanghai, China.
Junwei WangDepartment of Medical Product, OrigiMed, Inc., Shanghai, China.
Wen-Yan ZhangDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Wei-Ping LiuDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Sichuan University · CNUnimed Medical Institute · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The clinical outcome of relapsed and refractory (RR) extranodal natural killer/T-cell lymphoma (ENKTL) is poor. It is necessary to identify RR patients in ENKTL and find novel therapeutic targets to improve the prognosis of patients with RR ENKTL. Methods: A total of 189 ENKTL patients with effective clinical characteristics were enrolled. Paraffin specimens were collected for PD-L1 expression identification. Kaplan-Meier curve analysis was performed for survival analysis. Whole exome sequencing (WES) was performed for identifying the mutational characterization of RR and effective treatment (ET) patients. Results: Univariate and multivariate Cox proportional hazards regression analysis showed that negative PD-L1 expression (HR = 1.132, 95% CI = 0.739-1.734, Conclusion: Patients tend to show RR when PD-L1 expression is lower than 25%. The model of PINK+PD-L1 can stratify the risk of different groups and predict OS in ENKTL patients. The mutational profile of ENKTL patients with RR is different from that of patients with ET.

Indexed as

extranodal natural killer/T-cell lymphomanext-generation sequencingPD-L1relapsed and refractoryrisk prognostic model

Identifiers

PMID35619907
PMCPMC9128790
OpenAlexW4229441801

What Socratic 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 Socratic graph.