Profiling diagnostic Approach of Thoracic Malignancies in Indonesia’s National Cancer Centre

Author:

Hanafi Arif Riswahyudi1,Hanif Muhammad Alfin1,Pangaribuan Mariska T.G.1,Ariawan Wily Pandu1,Pradipta Jaka1,Cahyanti Dian1,Rayhani Farilaila1,Sutandyo Noorwati1,Kurniawati Sri Agustini1,Setiawan Lyana1,Diandra Alyssa1,Hidayat Kusmantoro1,Imelda Priscillia1

Affiliation:

1. Dharmais Cancer Hospital

Abstract

Abstract Introduction Diagnostic modalities for thoracic malignancies, especially for lung cancer, have a pivotal impact on further planning. Providing tools should be utilized efficiently to gain a highly positive diagnosis. Thus, we aim to describe the diagnostic approach applied in our population and how each tools frequently used and provide adequate results, so it can be used as the fundamental picture for other centers. Methods A cross-sectional study, involving data from 3661 diagnostic procedures at the Dharmais Cancer Hospital, National Cancer Center in Indonesia, from January 2018-December 2022. Data were from the medical record and analyzed with p < 0.05 was considered statistically significant. Result Brushing with bronchoscopy was the most performed with a positive diagnostic yield of 58.59% cytologically, and VAST were carried out less but obtained the highest positive diagnosis 100% histologically (p = 0.000). Both cytology and histology examination obtained adenocarcinoma as the most common diagnosis (63.80%). Biomolecular EGFR test was the most frequently applied on lung cancer patients (81.43%), besides ALK and PDL-1 (p = 0.000). EGFR and TP53 mutation were highly expressed with next-generation sequencing. Conclusion Multimodality diagnostic procedures should be considered for patients since tissue is an issue, both cytologically and histologically. Biomolecular reflex tests, such as ALK, EGFR, and PD-L1, are essential to apply in lung cancer, and co-mutations can be detected by NGS, such as EGFR-TP53.

Publisher

Research Square Platform LLC

Reference30 articles.

1. Global Cancer Observatory. (gco.iacr.fr) [Intenet]. Lyon: International Agency for Research of Cancer; ©2022. Cancer today pie chart: Estimated number of new cases in 2020 worldwide, both sexes, all ages [cited 2023 Feb 23]. Available from: Cancer Today (iarc.fr).

2. American Cancer Society [Internet]. Atlanta: American Cancer Society; ©2022. Key statistic for lung cancer [cited 2023 Feb 23]. Available from: Lung Cancer Statistics |. Atlanta: American Cancer Society; ©2022. Key statistic for lung cancer [cited 2023 Feb 23]. Available from: Lung Cancer Statistics | How Common is Lung Cancer?.?

3. Kementrian Kesehatan RI [Internet]. Indonesia: Pusat Data dan Informasi Kementrian Kesehatan RI ©2019. Beban Kanker di Indonesia [cited 2023 Feb 23]. Available from: Infodatin-Kanker-2019.pdf (kemkes.go.id).

4. Diagnosing Lung Cancer: The Complexities of Obtaining a Tissue Diagnosis in the Era of Minimally Invasive and Personalised Medicine;McLean A;JCM

5. The accumulated evidence on lung cancer and environmental tobacco smoke;Hackshaw AK;BMJ,1997

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3