ArticleDiscover oncology2022
Integrated in silico analysis of LRP2 mutations to immunotherapy efficacy in pan-cancer cohort.
Article in Discover oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Anti-tumor immune modulation and favorable survival outcomes in uterine corpus endometrial carcinoma: insights from PIK3CA/ARID1A co-mutation analysis.Discover oncology · 2025Article
- Biomarkers and immunotherapy in endometrial cancer: mechanisms and clinical applications.Frontiers in immunology · 2025Review
- Lynch syndrome-associated and sporadic microsatellite unstable colorectal cancers: different patterns of clonal evolution yield highly similar tumours.Human molecular genetics · 2024Article
- Antibrush Border Antibody Disease: A Case Series.Kidney medicine · 2024Article
- A multi-variable predictive warning model for cervical cancer using clinical and SNPs data.Frontiers in medicine · 2024Article
- Exploring scavenger receptor class F member 2 and the importance of scavenger receptor family in prediagnostic diseases.Toxicological research · 2023Review
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Abstract
purposeImmunotherapy has emerged as a novel therapy, while many patients are refractory. Although, several biomarkers have been identified as predictive biomarkers for immunotherapy, such as tumor specific genes, PD-1/PD-L1, tumor mutation burn (TMB), and microsatellite instability (MSI), results remain unsatisfactory. The aim of this study is to evaluate the value of LRP2 mutations in predicating cancer immunotherapy.
methodsWe investigated the characteristics of low-density lipoprotein receptor-related protein 2 (LRP2) mutation in the cancer genome atlas (TCGA) and explored the potential association of LRP2 mutations with immunotherapy. Characteristics of LRP2 mutations in 33 cancer types were analyzed using large-scale public data. The association of LRP2 mutations with immune cell infiltration and immunotherapy efficacy was evaluated. Finally, a LPR2 mutation signature (LMS) was developed and validated by TCGA-UCEC and pan-cancer cohorts. Furthermore, we demonstrated the predictive power of LMS score in independent immunotherapy cohorts by performing a meta-analysis.
resultsOur results revealed that patients with LRP2 mutant had higher TMB and MSI compared with patients without LRP2 mutations. LRP2 mutations were associated with high levels of immune cells infiltration, immune-related genes expression and enrichment of immune related signaling pathways. Importantly, LRP2-mutated patients had a long overall survival (OS) after immunotherapy. In the endometrial cancer (EC) cohort, we found that patients with LRP2 mutations belonged to the POLE and MSI-H type and had a better prognosis. Finally, we developed a LRP2 mutations signature (LMS), that was significantly associated with prognosis in patients receiving immunotherapy.
conclusionThese results indicated that LRP2 mutations can serve as a biomarker for personalized tumor immunotherapy. Importantly, LMS is a potential predictor of patients' prognosis after immunotherapy.
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