Mai A.H. Abouelenin , Amany A. Saleh , Naglaa S. Elabd , Osama Elbahr , Reham Ahmed Abdelaziz , Mohammed G. Elhelbawy , Zeinab A. Kasemy , Ahmed Abdelkhalek Hussein , Mona A. Abbas
{"title":"lncRNA PXN- as1 - l表达MBNL3和PXN基因对胃癌的促进作用","authors":"Mai A.H. Abouelenin , Amany A. Saleh , Naglaa S. Elabd , Osama Elbahr , Reham Ahmed Abdelaziz , Mohammed G. Elhelbawy , Zeinab A. Kasemy , Ahmed Abdelkhalek Hussein , Mona A. Abbas","doi":"10.1016/j.bbrep.2025.102117","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Gastric cancer ranks fourth in both incidence and mortality worldwide. Several genes influence its genesis and progress.</div></div><div><h3>Materials and methods</h3><div>The expression of MBNL3, PXN genes, and lncRNA PXN-AS1-L was evaluated in gastric tissue samples from 75 gastric cancer patients and 75 controls by RT-PCR.</div></div><div><h3>Results</h3><div>MBNL3, PXN, and lncRNA PXN-AS1-L expressions were considerably raised among cancerous gastric tissue than in nearby normal tissue and normal tissue from controls (p < 0.001). LncRNA PXN-AS1-L and MBNL3 had the highest sensitivity (92.00 % and 90.67 %, respectively), with PXN sensitivity of 81.33 % for differentiation of the cancer tissue from adjacent normal tissue, while PXN and lncRNA PXN-AS1-L had the highest sensitivity (98.67 % and 92.00 %, respectively), with 89.33 % for MBNL3 as discriminators between gastric cancer tissue and normal tissue from controls. Between metastatic and non-metastatic patients, MBNL3 and PXN were the highest differentiating markers (sensitivity = 87.50 % and 83.33 %, respectively). MBNL3, PXN, and lncRNA PXN-AS1-L were reliable predictors of gastric cancer (p = 0.004, p = 0.009, and p = 0.001, respectively), but only MBNL3 and lncRNA PXN-AS1-L were significant predictors for mortality (p = 0.026 and p = 0.043, respectively). The elevated expressions were linked to lower overall and progression-free survival rates.</div></div><div><h3>Conclusion</h3><div>MBNL3, PXN, and lncRNA PXN-AS1-L expression levels can diagnose and predict gastric cancer and discriminate between metastatic and non-metastatic patients. The expression level of MBNL3 and lncRNA PXN-AS1-L can predict gastric cancer mortality. Higher expression of MBNL3 and PXN was linked to aggressive gastric cancer and low overall and progression-free survival rates.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"43 ","pages":"Article 102117"},"PeriodicalIF":2.2000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Promotive role of MBNL3 and PXN genes expressions with lncRNA PXN-AS1-L on gastric cancer\",\"authors\":\"Mai A.H. Abouelenin , Amany A. Saleh , Naglaa S. Elabd , Osama Elbahr , Reham Ahmed Abdelaziz , Mohammed G. Elhelbawy , Zeinab A. Kasemy , Ahmed Abdelkhalek Hussein , Mona A. Abbas\",\"doi\":\"10.1016/j.bbrep.2025.102117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Gastric cancer ranks fourth in both incidence and mortality worldwide. Several genes influence its genesis and progress.</div></div><div><h3>Materials and methods</h3><div>The expression of MBNL3, PXN genes, and lncRNA PXN-AS1-L was evaluated in gastric tissue samples from 75 gastric cancer patients and 75 controls by RT-PCR.</div></div><div><h3>Results</h3><div>MBNL3, PXN, and lncRNA PXN-AS1-L expressions were considerably raised among cancerous gastric tissue than in nearby normal tissue and normal tissue from controls (p < 0.001). LncRNA PXN-AS1-L and MBNL3 had the highest sensitivity (92.00 % and 90.67 %, respectively), with PXN sensitivity of 81.33 % for differentiation of the cancer tissue from adjacent normal tissue, while PXN and lncRNA PXN-AS1-L had the highest sensitivity (98.67 % and 92.00 %, respectively), with 89.33 % for MBNL3 as discriminators between gastric cancer tissue and normal tissue from controls. Between metastatic and non-metastatic patients, MBNL3 and PXN were the highest differentiating markers (sensitivity = 87.50 % and 83.33 %, respectively). MBNL3, PXN, and lncRNA PXN-AS1-L were reliable predictors of gastric cancer (p = 0.004, p = 0.009, and p = 0.001, respectively), but only MBNL3 and lncRNA PXN-AS1-L were significant predictors for mortality (p = 0.026 and p = 0.043, respectively). The elevated expressions were linked to lower overall and progression-free survival rates.</div></div><div><h3>Conclusion</h3><div>MBNL3, PXN, and lncRNA PXN-AS1-L expression levels can diagnose and predict gastric cancer and discriminate between metastatic and non-metastatic patients. The expression level of MBNL3 and lncRNA PXN-AS1-L can predict gastric cancer mortality. Higher expression of MBNL3 and PXN was linked to aggressive gastric cancer and low overall and progression-free survival rates.</div></div>\",\"PeriodicalId\":8771,\"journal\":{\"name\":\"Biochemistry and Biophysics Reports\",\"volume\":\"43 \",\"pages\":\"Article 102117\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochemistry and Biophysics Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405580825002043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemistry and Biophysics Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405580825002043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Promotive role of MBNL3 and PXN genes expressions with lncRNA PXN-AS1-L on gastric cancer
Background
Gastric cancer ranks fourth in both incidence and mortality worldwide. Several genes influence its genesis and progress.
Materials and methods
The expression of MBNL3, PXN genes, and lncRNA PXN-AS1-L was evaluated in gastric tissue samples from 75 gastric cancer patients and 75 controls by RT-PCR.
Results
MBNL3, PXN, and lncRNA PXN-AS1-L expressions were considerably raised among cancerous gastric tissue than in nearby normal tissue and normal tissue from controls (p < 0.001). LncRNA PXN-AS1-L and MBNL3 had the highest sensitivity (92.00 % and 90.67 %, respectively), with PXN sensitivity of 81.33 % for differentiation of the cancer tissue from adjacent normal tissue, while PXN and lncRNA PXN-AS1-L had the highest sensitivity (98.67 % and 92.00 %, respectively), with 89.33 % for MBNL3 as discriminators between gastric cancer tissue and normal tissue from controls. Between metastatic and non-metastatic patients, MBNL3 and PXN were the highest differentiating markers (sensitivity = 87.50 % and 83.33 %, respectively). MBNL3, PXN, and lncRNA PXN-AS1-L were reliable predictors of gastric cancer (p = 0.004, p = 0.009, and p = 0.001, respectively), but only MBNL3 and lncRNA PXN-AS1-L were significant predictors for mortality (p = 0.026 and p = 0.043, respectively). The elevated expressions were linked to lower overall and progression-free survival rates.
Conclusion
MBNL3, PXN, and lncRNA PXN-AS1-L expression levels can diagnose and predict gastric cancer and discriminate between metastatic and non-metastatic patients. The expression level of MBNL3 and lncRNA PXN-AS1-L can predict gastric cancer mortality. Higher expression of MBNL3 and PXN was linked to aggressive gastric cancer and low overall and progression-free survival rates.
期刊介绍:
Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.