Evidence map›Paper›PMID 35531878›Full record

ArticleBioengineered2022

Nan Zhang, Jie Shen, Lanying Gou, Manming Cao, Weimin Ding, Peng Luo, Jian Zhang

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 13 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

7 authors at 1 institution in 1 country.

Nan ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jie ShenDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Lanying GouDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Manming CaoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Weimin DingDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7217-0111
Zhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy significantly improves the prognosis of advanced lung cancer. It has become an important treatment option for advanced lung cancer. However, there remain many limitations in clinical treatment, and only a small portion of patients can benefit from immunotherapy. Our study aimed to identify markers that can precisely forecast the efficacy of immunotherapy in patients. We analyzed a non-small-cell lung cancer (NSCLC) immune checkpoint inhibitor (ICI) cohort (n=240). We used this discovery cohort to identify CNVs in genes associated with immunotherapy. We further analyzed immune biomarkers and immune infiltration in The Cancer Genome Atlas (TCGA)-NSCLC cohort and the Gene Expression Omnibus (GEO) cohorts. By analyzing an ICI dataset from MSKCC, we found that progression-free survival (PFS) was improved after UBE3A deletion (UBE3A-del). The analysis results showed that UBE3A-del had higher immunocyte infiltration levels and higher expression levels of immune checkpoint biomarkers and affected the enrichment levels of immune signaling pathways. Our results suggest that UBE3A-del can be used as a predictive biomarker of NSCLC to screen for NSCLC patients who may benefit from ICI therapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsUbiquitin-Protein LigasesDNA Copy Number VariationsHumansImmune Checkpoint InhibitorsImmunotherapyMutationTumor MicroenvironmentImmune Checkpoint InhibitorsUBE3A protein, humanUbiquitin-Protein LigasesbiomarkerdeletionImmune checkpoint inhibitorsnon-small-cell lung cancer (NSCLC)UBE3A

Identifiers

PMID35531878
PMCPMC9275990
OpenAlexW4229333868

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.