Evidence map›Paper›PMID 36653841›Full record

ArticleBMC medical genomics2023

LRRC superfamily expression in stromal cells predicts the clinical prognosis and platinum resistance of ovarian cancer.

Xiaoying Zhu, Shijing You, Xiuzhen Du, Kejuan Song, Teng Lv, Han Zhao, Qin Yao

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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, 11 citations in OpenAlex.

  1. Article
  2. LRRC15-CAR T Cells for the Treatment of Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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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 2 institutions in 1 country.

Xiaoying ZhuDepartment of Gynaecology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China.
Shijing YouDepartment of Gynaecology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China.
Xiuzhen DuDepartment of Gynaecology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China.
Kejuan SongDepartment of Gynaecology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China.
Teng LvDepartment of Gynaecology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China.
Han ZhaoDepartment of Pathology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China.
Qin YaoDepartment of Gynaecology, Affiliated Hospital of Qingdao University, Qingdao Medical College, Qingdao University, Qingdao, China. dr_yaoqin@qdu.edu.cn.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeucine-rich repeat sequence domains are known to mediate protein‒protein interactions. Recently, some studies showed that members of the leucine rich repeat containing (LRRC) protein superfamily may become new targets for the diagnosis and treatment of tumours. However, it is not known whether any of the LRRC superfamily genes is expressed in the stroma of ovarian cancer (OC) and is associated with prognosis.

methodsThe clinical data and transcriptional profiles of OC patients from the public databases TCGA (n = 427), GTEx (n = 88) and GEO (GSE40266 and GSE40595) were analysed by R software. A nomogram model was also generated through R. An online public database was used for auxiliary analysis of prognosis, immune infiltration and protein‒protein interaction (PPI) networks. Immunohistochemistry and qPCR were performed to determine the protein and mRNA levels of genes in high-grade serous ovarian cancer (HGSC) tissues of participants and the MRC-5 cell line induced by TGF-β.

resultsLRRC15 and LRRC32 were identified as differentially expressed genes from the LRRC superfamily by GEO transcriptome analysis. PPI network analysis suggested that they were most enriched in TGF-β signalling. The TCGA-GTEx analysis results showed that only LRRC15 was highly expressed in both cancer-associated fibroblasts (CAFs) and the tumour stroma of OC and was related to clinical prognosis. Based on this, we developed a nomogram model to predict the incidence of adverse outcomes in OC. Moreover, LRRC15 was positively correlated with CAF infiltration and negatively correlated with CD8 + T-cell infiltration. As a single indicator, LRRC15 had the highest accuracy (AUC = 0.920) in predicting the outcome of primary platinum resistance.

conclusionsThe LRRC superfamily is related to the TGF-β pathway in the microenvironment of OC. LRRC15, as a stromal biomarker, can predict the clinical prognosis of HGSC and promote the immunosuppressive microenvironment. LRRC15 may be a potential therapeutic target for reversing primary resistance in OC.

Indexed as

Ovarian NeoplasmsPlatinumFemaleHumansLeucineMembrane ProteinsPrognosisStromal CellsTumor MicroenvironmentLeucineLRRC15 protein, humanLRRC32 protein, humanMembrane ProteinsPlatinumImmune microenvironmentLRRC15Ovarian cancerPrimary platinum resistanceStroma

Identifiers

PMID36653841
PMCPMC9850808
OpenAlexW4317234050

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LicenceCC BY
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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.