ArticleInternational journal of clinical and experimental pathology2015
Papillary renal cell carcinoma: a clinicopathological and whole-genome exon sequencing study.
Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Papillary renal cell carcinoma, formerly known as Type 2: a single institutional study addressing histologic and molecular features.Histopathology · 2026Article
- LGALS9B stabilizes EEF1D protein and activates the PI3K/AKT signaling pathway to promote gastric cancer occurrence and metastasis.Oncogene · 2025Article
- A pan-cancer analysis revealing the role of LFNG, MFNG and RFNG in tumor prognosis and microenvironment.BMC cancer · 2023Article
- Article
- The role of EEF1D in disease pathogenesis: a narrative review.Annals of translational medicine · 2021Review
- Review
- DNA Methylation Haplotype Block Markers Efficiently Discriminate Follicular Thyroid Carcinoma from Follicular Adenoma.The Journal of clinical endocrinology and metabolism · 2021Article
- Review
- Article
- A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma.Computational and structural biotechnology journal · 2020Article
- Overexpression of interleukin-20 receptor subunit beta (IL20RB) correlates with cell proliferation, invasion and migration enhancement and poor prognosis in papillary renal cell carcinoma.Journal of toxicologic pathology · 2019Article
- Drug-Induced Hypertension Caused by Multikinase Inhibitors (Sorafenib, Sunitinib, Lenvatinib and Axitinib) in Renal Cell Carcinoma Treatment.International journal of molecular sciences · 2019Review
- EEF1D overexpression promotes osteosarcoma cell proliferation by facilitating Akt-mTOR and Akt-bad signaling.Journal of experimental & clinical cancer research : CR · 2018Article
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Papillary renal cell carcinoma (PRCC) represents the second most common histological subtype of RCC, and comprises 2 subtypes. Prognosis for type 1 PRCC is relatively good, whereas type 2 PRCC is associated with poor clinical outcomes. The aim of the present study was to evaluate the clinicopathological and mutations characteristics of PRCC. Hence, we reported on 13 cases of PRCC analyzed using whole-exome sequencing. Histologically, type 2 PRCC showed a higher nuclear grade and lymphovascular invasion rate versus type 1 PRCC (P < 0.05). Immunostaining revealed type 1 PRCC had higher CK7 and lower Top IIα expression rates (P < 0.05). Whole-exome sequencing data analysis revealed that the mutational statuses of 373 genes (287 missense, 69 silent, 6 nonsense, and 11 synonymous mutations) differed significantly between PRCC and normal renal tissues (P < 0.05). Functional enrichment analysis was used to classify the 287 missense-mutated genes into 11 biological process clusters (comprised of 61 biological processes) and 5 pathways, involved in cell adhesion, microtubule-based movement, the cell cycle, polysaccharide biosynthesis, muscle cell development and differentiation, cell death, and negative regulation. Associated pathways included the ATP-binding cassette transporter, extracellular matrix-receptor interaction, lysosome, complement and coagulation cascades, and glyoxylate and dicarboxylate metabolism pathways. The missense mutation status of 19 genes differed significantly between the groups (P < 0.05), and alterations in the EEF1D, RFNG, GPR142, and RAB37 genes were located in different chromosomal regions in type 1 and 2 PRCC. These mutations may contribute to future studies on pathogenic mechanisms and targeted therapy of PRCC.
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26339402PMC4555730W2417298700What OpenQuestion holds
Registered trials
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.