Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal Narra J
Heriyanto, Didik S.
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Long non-coding RNAs as prognostic biomarkers in non-muscle invasive bladder cancer: A systematic review Hendri, Ahmad Z.; Suryawati, Sri; Heriyanto, Didik S.; Hardianti, Mardiah S.; Pikatan, Narpati W.; Shaleh, Sabillal; Robert, Robert; Febriyanto, Toni; Liliana, Belinda; Pratama, Angga DM.
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.1233

Abstract

Traditional prognostic tools for non-muscle invasive bladder cancer (NMIBC) often overestimate progression and recurrence risks, underscoring the need for more precise biomarkers. While long non-coding ribonucleic acids (lncRNAs) have been reviewed in bladder cancer, no review has focused on NMIBC. The aim of this study was to address this gap by investigating the role of lncRNAs in predicting NMIBC survival and progression. A systematic review was conducted using PubMed, Scopus, and Cochrane databases as of July 31, 2024. Prognostic studies investigating the association between lncRNA expression and survival outcomes, such as cancer-specific survival, disease-free survival, recurrence-free survival, or overall survival, using Kaplan-Meier curves or hazard ratios, were included. A total of three studies were analyzed, involving 279 NMIBC patients and focusing on three lncRNAs: urothelial cancer associated 1 (UCA1), growth arrest-specific 5 (GAS5), and up-regulated in non-muscle invasive bladder cancer (UNMIBC). Increased UCA1 expression was strongly associated with poor disease-free survival (hazard ratio (HR): 1.974; 95%CI: 1.061–3.673; p=0.032) and progression-free survival (HR: 3.476; 95%CI: 1.187–10.18; p=0.023). Reduced GAS5 expression was significantly associated with poor disease-free survival (HR: 2.659; 95%CI: 1.348–5.576; p=0.005) and progression-free survival (HR: 6.628; 95%CI: 1.494–29.40; p=0.013). Higher level of UNMIBC was strongly associated with poor recurrence-free survival (HR: 2.362; 95%CI: 1.504–4.837; p=0.007). In conclusion, lncRNAs have potential as prognostic biomarkers in NMIBC, with UCA1 and UNMIBC overexpression and GAS5 underexpression being significant in predicting disease recurrence and progression, highlighting the clinical relevance of monitoring these lncRNAs to improve prognosis and guide treatment decisions.
Research trends in microRNA profiling as a biomarker for lung adenocarcinoma via liquid biopsy: A bibliometric analysis Kartika, Aprilia I.; Dafip, Muchamad; Wijayanti, Nastiti; Heriyanto, Didik S.; Haryana, Sofia M.; Taroeno-Hariadi, Kartika W.
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1372

Abstract

Research related to the development of diagnostic biomarkers in lung adenocarcinoma in various countries is important. Research on microRNA as a biomarker in lung adenocarcinoma varies depending on the population, specimen, and technology used for profiling and validation. The aim of this study was to map and analyze bibliometric data of publications related to the topic of microRNA as a candidate biomarker in lung adenocarcinoma and to determine any potential research gaps. A total of 8,506 articles were collected from Crossref, Google Scholar, Semantic Scholar, PubMed, and Scopus databases using Harzing's Publish or Perish platform. A systematic search was conducted using four keywords: “profiling,” “validating,” “microRNA,” and “lung adenocarcinoma,” and synonyms of these keywords based on the MeSH on NCBI. The data extraction process followed the chart from PRISMA-P. The article’s elimination was conducted using Mendeley Desktop and then was analyzed based on the authors' keywords using VOSviewer and Biblioshiny. A bibliometric analysis of 692 relevant articles identified four primary research clusters: (1) microRNA (19 keywords), which highlights its potential as a biomarker for early detection and diagnosis; (2) lung adenocarcinoma (18 keywords), reflecting advancements in lung cancer research; (3) liquid biopsy (19 keywords), emphasizing the growing interest in non-invasive diagnostic methods; and (4) bioinformatics (nine keywords), underscoring the role of computational approaches in transcriptomic analysis. As a primary topic, microRNAs have become a focal point of research for diagnosing lung cancer across various stages and as biomarkers for cancer cell proliferation, invasion, migration, and metastasis. Numerous studies have demonstrated the successful application of microRNAs in lung cancer diagnosis in the last decade, although the reported types of microRNAs are inconsistent. Therefore, further research on this topic should be continuously conducted, particularly to validate the types of microRNAs and the types of environments that influence them.
Prognosis value of circulating telomere repeat binding factor 2 and leukocyte telomere length in breast cancer mortality Sasmita, Dhyas MA.; Anwar, Sumadi L.; Heriyanto, Didik S.; Paramita, Dewi K.; Hendrawan, Fandi; Aryandono, Teguh
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1601

Abstract

Telomere repeat binding factor 2 (TRF2) is currently a novel tumor marker, yet its clinical implication has not been investigated. The aim of this study was to investigate the prognostic value of circulating TRF2 and leukocyte telomere length in 5-year mortality in breast cancer patients. In this cohort retrospective study, breast cancer patients were included and the length of telomeres and circulating TRF2 were quantified. Receiver operating characteristics and the Youden index were used to determine the optimal cut-off. To analyze the overall survival rate in 5 years, Kaplan Meier analysis was used, while the prognostic value of both variables was analyzed in Cox proportional hazard regression on both univariate and multivariate models. Our data indicated that the optimal cut-off points for TRF2 and leukocyte telomere length were 598 pg/mL and 0.93 kb, respectively. Based on the optimal cut-off points, the participant’s data was grouped, and our data indicated that the high TRF2 group had a poorer overall survival rate in comparison to the low group (91.3% vs 83.87%; log-rank test; p<0.01). The overall survival between short and long telomeres was comparable (88.24% vs 88.37%; log-rank test; p=0.64). TRF2 (hazard ratio (HR): 3.66; 95%CI: 1.45–9.29) and molecular subtype (p=0.04) were identified as independent factors to predict mortality. In conclusion, a high circulating TRF2 in breast cancer participants was associated with lower overall 5-year survival rates in comparison with the low TRF2 group. Moreover, high TRF2 could predict the mortality of the breast cancer population to be 3.66 times higher than the lower group. In contrast, telomere length was not associated with overall survival rate nor predicting mortality in five years.
Spectrum of rare EGFR mutations in Indonesian lung adenocarcinoma: Findings from an 8-year analysis of 4,778 cases highlighting the need for advanced targeted therapies Heriyanto, Didik S.; Trisnawati, Ika; Rachmadi, Lisnawati; Tenggara, Jeffry B.; Lau, Vincent; Gunawan, Andrew N.; Halim, Brigitta N.; Yuliani, Fara S.; Laiman, Vincent; Gondhowiardjo, Soehartati; Chuang, Hsiao-Chi
Narra J Vol. 5 No. 2 (2025): August 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i2.1721

Abstract

Lung cancer patients in Indonesia exhibit a high prevalence of epidermal growth factor receptor (EGFR) mutations, with a substantial proportion attributed to rare or uncommon variants. The clinical significance of rare EGFR mutations lies in their differential sensitivity to tyrosine kinase inhibitors (TKIs). While they are frequently resistant to first- and second- generation TKIs, they often respond to third-generation TKIs, necessitating tailored treatment options. The need for improving access to advanced targeted therapies in Indonesia also highlights the importance of conducting research on rare EGFR mutations. The aim of this study was to identify the spectrum and frequency of EGFR mutations in patients with lung adenocarcinoma in Indonesia. A cross-sectional observational study with total sampling was conducted from January 2016 to April 2024 to investigate EGFR mutation profiles in lung adenocarcinoma patients. Samples were acquired from patients with a confirmed anatomical pathology diagnosis from various healthcare centers across Indonesia. A total of 4,778 samples were analyzed using real-time quantitative polymerase chain reaction (RT-qPCR) on various specimen types to determine EGFR mutation prevalence and patterns. Associations between demographic data and EGFR mutation status were assessed. EGFR mutations were detected in 54.6% of samples, with common mutations (exon 19 deletions/insertions and point mutation L858R) comprising 76.2% of positive cases and rare mutations (exon 20 insertions, point mutation G719X, S768I, T790M, and L861Q) accounted for 20.3%. Significant associations were found between geographic origin, age, and sex with EGFR mutation status. This study confirms substantial genetic variability and geographical differences in EGFR mutations among Indonesian lung adenocarcinoma patients, emphasizing the urgent need for further research to prompt enhanced molecular diagnostics and targeted therapies in the region.
Co-Authors Anwar, Sumadi L. Chuang, Hsiao-Chi Dafip, Muchamad Febriyanto, Toni Gunawan, Andrew N. Halim, Brigitta N. Hendrawan, Fandi Hendri, Ahmad Z. Ika Trisnawati, Ika Kartika W. Taroeno-Hariadi Kartika, Aprilia I. Laiman, Vincent Lau, Vincent Liliana, Belinda Lisnawati Rachmadi Mardiah S. Hardianti Nastiti Wijayanti Paramita, Dewi K. Pikatan, Narpati W. Pratama, Angga DM. Robert Robert Sasmita, Dhyas MA. Shaleh, Sabillal Soehartati Gondhowiardjo Sofia M. Haryana Sri Suryawati Teguh Aryandono Tenggara, Jeffry B. Yuliani, Fara S.