Evidence map›Paper›PMID 31921619›Full record

ArticleFrontiers in oncology2019

An Immune-Related Signature Predicts Survival in Patients With Lung Adenocarcinoma.

Minghui Zhang, Kaibin Zhu, Haihong Pu, Zhuozhong Wang, Hongli Zhao, Jinfeng Zhang, Yan Wang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed
–field-weighted citation impact
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

116 citing papers in PubMed.

  1. Article
  2. Novel Insights into the Pathogenic Role of CSF1R in Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026
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  6. Multi-omics characterization of cachexia-related genes reveals prognostic signatures and immune landscape in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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56 more citing papers are in PubMed but not listed here.

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.

Minghui ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Kaibin ZhuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Haihong PuDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Zhuozhong WangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Hongli ZhaoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jinfeng ZhangDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Yan WangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the local immune status and its prognostic value in lung adenocarcinoma. In total, 513 lung adenocarcinoma samples from TCGA and ImmPort databases were collected and analyzed. The R package coxph was employed to mine immune-related genes that were significant prognostic indicators using both univariate and multivariate analyses. The R software package glmnet was then used for Lasso Cox regression analysis, and a prognosis prediction model was constructed for lung adenocarcinoma; clusterProfiler was selected for functional gene annotations and KEGG enrichment analysis. Finally, correlations between the RiskScore and clinical features or signaling pathways were established. Sixty-four immune-related genes remarkably correlated with patient prognosis and were further applied. Samples were hierarchically clustered into two subgroups. Accordingly, the LASSO regression algorithm was employed to screen the 14 most representative immune-related genes (

Indexed as

hierarchal clusteringimmunophenotypeslung adenocarcinomapatient prognosisriskscore

Identifiers

PMID31921619
PMCPMC6914845

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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.