Evidence map›Paper›PMID 37553698›Full record

ArticleBMC medical genomics2023

Comprehensive analysis of the immunogenic cell death-related signature for predicting prognosis and immunotherapy efficiency in patients with lung adenocarcinoma.

Yingshu Cui, Yi Li, Shan Long, Yuanyuan Xu, Xinxin Liu, Zhijia Sun, Yuanyuan Sun, Jia Hu, Xiaosong Li

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 5 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

9 authors at 6 institutions in 1 country.

Yingshu Cui *Department of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Yi Li *Medical School of Chinese PLA, Beijing, China.
Shan Long *School of Medicine, Nankai University, Tianjin, China.
Yuanyuan XuDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, Sichuan, China.
Xinxin LiuDepartment of General Surgery, Peking University First Hospital, Beijing, China.
Zhijia SunDepartment of Radiation Oncology, Air Force General Hospital, Beijing, China.
Yuanyuan SunDepartment of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Jia HuDepartment of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China. hujiain301@163.com.
Xiaosong LiDepartment of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China. lixiaosong301@163.com.
Chinese PLA General Hospital · CNAffiliated Hospital of Southwest Medical University · CNAir Force General Hospital PLA · CNNankai University · CNPeking University · CNPLA Academy of Military Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough immunotherapy has been considered as a potent strategy for lung adenocarcinoma (LUAD), only a small part of patients was served as potentially clinical benefiters. Immunogenic cell death (ICD), a type of regulated cell death (RCD), which enable to reshape the tumor immune microenvironment and contribute to the immunotherapy efficiency. Developing a novel ICD-based signature may be a potential strategy to differentiate prognosis of patients with LUAD and predict efficacy of immunotherapy.

methodsIn this study, 34 ICD-related genes (ICDRGs) were identified and analyzed in LUAD samples from the Cancer Genome Atlas (TCGA). 572 patients with LUAD were divided into two distinct clusters according to ICDRGs expression levels. Patients were subsequently classified into two distinct gene subtypes based on differentially expressed genes (DEGs) analyzed between two ICD-related clusters. We further developed and validated a novel ICD-related score (ICDRS) followed by comprehensive investigation about the landscape of the prognosis, immune-based features, immunotherapautic responses and sensitivity of target drugs in patients with LUAD.

resultsAfter confirming transcriptomic aberrations and appraising prognostic value of ICDRGs, two ICD-associated subtypes were initially determined by consensus clustering in accordance with differentially expressional levels of ICDRGs. It was shown that patients in the ICD high-subtype possessed the superior clinical prognosis, abundant immune cell infiltration and higher involvement in immune-related signaling compared with the ICD low-subtype. A signature of ICD-related score (ICDRS) was further established and validated, which was served as an independent prognostic indicator for LUAD patients. These comprehensive results revealed that the high-score patients represented better clinical prognosis, higher immune infiltration-related characteristics, stronger expression of immune checkpoints, and better response to immune checkpoint inhibitor therapy and multiple targeted drugs. To further verify our analysis, we selected TLR4 as the representative of ICDRGs and evaluated its expression on the lung normal cells and cancer cells in vitro. Then, relative animal experiments were performed in vivo, with results of that the stimulation of TLR4 suppressed the growth of lung cancer.

conclusionsIn conclusion, our comprehensive analysis of ICDRGs in LUAD demonstrated their function in serving as a biomarker of predicting prognosis and clinical effects of immunotherapy and targeted drugs, which is meaningful to improve our understanding of ICDRGs and brought inspirations about evaluating prognosis and developing effective therapeutic strategies to patients with LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAnimalsImmunogenic Cell DeathImmunotherapyPrognosisToll-Like Receptor 4Tumor MicroenvironmentToll-Like Receptor 4Immunogenic cell deathImmunotherapy efficacyLung adenocarcinomaPrognosisTumor microenvironment

Identifiers

PMID37553698
PMCPMC10410984
OpenAlexW4385667573

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.