Literature DB >> 36246497

Downregulation of Crystallin Lambda 1 is a New Independent Prognostic Marker in Clear Cell Renal Cell Carcinoma.

Lingsong Feng1, Guodong Ding1, Yang Zhou1, Haiyuan Zhu1, Huiming Jiang1.   

Abstract

Background: Clear cell renal cell carcinoma (ccRCC), the most prevalent kidney cancer subtype, has a high mortality rate. Crystallin lambda 1 (CRYL1) encodes an enzyme that catalyzes the dehydrogenation of L-gulonate into dehydro-L-gulonate in uronate cycle. CRYL1 dysregulation has been linked to the progression of several cancers. This research aimed to evaluate the prognostic significance of CRYL1 expression in ccRCC prognosis.
Methods: Clinical data and gene expression profiles on ccRCC were retrieved from the University of California Santa Cruz Xena platform. Differences (variations) in the expression profiles of CRYL1 in ccRCC and healthy tissues were found using RNA-sequencing data, and these findings were validated using qPCR with real-world samples. CRYL1 expression levels were also linked to clinicopathological characteristics, survival, and immune microenvironments. The potential pathway via which CRYL1 expression levels impact the prognosis of patients with ccRCC was investigated using gene set enrichment analysis (GSEA).
Results: In ccRCC tissues, CRYL1 expression levels were lower compared to healthy renal tissues in TCGA cohort (n = 535, P < 0.001), which was validated in another real-world cohort (n = 14, P < 0.001). Lower CRYL1 expression levels were linked to unfavorable clinicopathological characteristics and prognoses (P < 0.001). According to multivariate Cox regression analysis (P < 0.001), CRYL1 expression levels in patients with ccRCC could serve as an independent prognostic indicator. Furthermore, a strong link between CRYL1 expression levels and immune microenvironment was observed (P < 0.001). Finally, GSEA revealed that CRYL1 expression levels (P < 0.001) were associated with fatty acid metabolism, G2M checkpoint delays, and epithelial-mesenchymal transitions in ccRCC.
Conclusion: Our study found that lower levels of CRYL1 expression were linked to unfavorable clinicopathological characteristics and worse prognoses, and CRYL1 could serve as a new target for the treatment of ccRCC, which is useful for personalized medicine.
© 2022 Feng et al.

Entities:  

Keywords:  CRYL1; biomarker; clear cell renal cell carcinoma; prognosis

Year:  2022        PMID: 36246497      PMCID: PMC9563328          DOI: 10.2147/PGPM.S382564

Source DB:  PubMed          Journal:  Pharmgenomics Pers Med        ISSN: 1178-7066


  28 in total

1.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

2.  Mammalian forebrain ketimine reductase identified as μ-crystallin; potential regulation by thyroid hormones.

Authors:  André Hallen; Arthur J L Cooper; Joanne F Jamie; Paul A Haynes; Robert D Willows
Journal:  J Neurochem       Date:  2011-03-15       Impact factor: 5.372

Review 3.  Biological role of metabolic reprogramming of cancer cells during epithelial‑mesenchymal transition (Review).

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Journal:  Oncol Rep       Date:  2018-11-23       Impact factor: 3.906

Review 4.  Epithelial to Mesenchymal Transition in Renal Cell Carcinoma: Implications for Cancer Therapy.

Authors:  Francesco Piva; Matteo Giulietti; Matteo Santoni; Giulia Occhipinti; Marina Scarpelli; Antonio Lopez-Beltran; Liang Cheng; Giovanni Principato; Rodolfo Montironi
Journal:  Mol Diagn Ther       Date:  2016-04       Impact factor: 4.074

Review 5.  αB-crystallin: Portrait of a malignant chaperone as a cancer therapeutic target.

Authors:  Dmitry Malin; Vladimir Petrovic; Elena Strekalova; Bhawna Sharma; Vincent L Cryns
Journal:  Pharmacol Ther       Date:  2016-01-25       Impact factor: 12.310

6.  Genome-wide association interaction analysis for Alzheimer's disease.

Authors:  Elena S Gusareva; Minerva M Carrasquillo; Céline Bellenguez; Elise Cuyvers; Samuel Colon; Neill R Graff-Radford; Ronald C Petersen; Dennis W Dickson; Jestinah M Mahachie John; Kyrylo Bessonov; Christine Van Broeckhoven; Denise Harold; Julie Williams; Philippe Amouyel; Kristel Sleegers; Nilüfer Ertekin-Taner; Jean-Charles Lambert; Kristel Van Steen
Journal:  Neurobiol Aging       Date:  2014-05-28       Impact factor: 4.673

7.  Lipid and Alzheimer's disease genes associated with healthy aging and longevity in healthy oldest-old.

Authors:  Lauren C Tindale; Stephen Leach; John J Spinelli; Angela R Brooks-Wilson
Journal:  Oncotarget       Date:  2017-03-28

Review 8.  Effect of Stromal Cells in Tumor Microenvironment on Metastasis Initiation.

Authors:  Sen Guo; Chu-Xia Deng
Journal:  Int J Biol Sci       Date:  2018-11-13       Impact factor: 6.580

9.  Fatty Acids and a High-Fat Diet Induce Epithelial-Mesenchymal Transition by Activating TGFβ and β-Catenin in Liver Cells.

Authors:  Oliwia Kwapisz; Judyta Górka; Agata Korlatowicz; Jerzy Kotlinowski; Agnieszka Waligórska; Paulina Marona; Natalia Pydyn; Jurek W Dobrucki; Jolanta Jura; Katarzyna Miekus
Journal:  Int J Mol Sci       Date:  2021-01-28       Impact factor: 5.923

Review 10.  The human crystallin gene families.

Authors:  Graeme Wistow
Journal:  Hum Genomics       Date:  2012-12-01       Impact factor: 4.639

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