Perception of cure in prostate cancer: human-led and artiﬁcial intelligence-assisted landscape review and linguistic analysis of literature, social media and policy documents

Sep 22, 2026

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Understanding stakeholders’ perception of cure in prostate cancer (PC) supports effective communication about emerging curative-intent treatments. The study combines human expertise with artificial intelligence to conduct a landscape review and linguistic analysis of how stakeholders define and value “cure.” Subject-matter experts generate cure-related keywords using a semantic search engine and retrieve literature, healthcare-provider, and policy/social-media mentions. Social media analytics and natural-language processing quantify counts, geography, and sentiment; qualitative SME synthesis identifies contextual terms and differing definitions.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages11

Reading Time28 min

AccessFree to download

Background

Materials and methods

Results

Conclusion

Introduction

ORIGINAL RESEARCH Perception of cure in prostate cancer: human-led and artiﬁcial intelligenceassisted landscape review and linguistic analysis of literature, social media and policy documents E. Efstathiou1􀀁, A. Merseburger2, A. Liew3, K. Kurtyka4, O. Panda4, D. Dalechek4, A. C. S. Heerdegen5, R. Jain5, F. De Solda5, S. A. McCarthy6, S. D. Brookman-May7 , 8, S. D. Mundle6, W. Yu Ko9 & L.-M. Krabbe10 1Houston Methodist, Houston, Texas, USA; 2University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany; 3Oxford PharmaGenesis Group Pty Ltd, Melbourne, Australia; 4Oxford PharmaGenesis Inc, Newtown, Pennsylvania, USA; 5Janssen Global Commercial Strategy Organization, Raritan, New Jersey, USA; 6Janssen Research & Development, Raritan, New Jersey, USA; 7Janssen Research & Development, Spring House, Pennsylvania, USA; 8Ludwig-Maximilians-University, Munich, Germany; 9University of British Columbia Men’s Health Research Program, Vancouver, British Columbia, Canada; 10Vivantes Hospital Network for Health, Berlin, Germany Available online xxx Background: Understanding stakeholders’ perception of cure in prostate cancer (PC) is essential to preparing for effective communication about emerging treatments with curative intent. This study used artiﬁcial intelligence (AI) for landscape review and linguistic analysis of deﬁnition, context and value of cure among stakeholders in PC. Materials and methods: Subject-matter experts (SMEs) selected cure-related key words using Elicit, a semantic literature search engine, and extracted hits containing the key words from Medline, Sermo and Overton, representing academic researchers, health care providers (HCPs) and policymakers, respectively. NetBase Quid, asocial media analytics and natural language processing tool, was used to carry out key word searches in social media (representing the general public) . NetBase Quid analysed linguistics of key word-speciﬁc hit sets for key word count, geolocation and sentiments. SMEs qualitatively summarised key word-speciﬁc insights. Contextual terms frequently occurring with key words were identiﬁed and quantiﬁed. Results: SMEs identiﬁed seven key words applicable to PC (number of acquired hits) across four platforms: Cure (12429), Survivor (6063), Remission (1904), Survivorship (1179), Curative intent (432), No evidence of disease (381) and Complete remission (83) . Most commonly used key words were Cure by the general public and HCPs (11815 and 224 hits), Survivorship by academic researchers and Survivor by policymakers (378 hits each) . All stakeholders discussed Cure and cure-related key words primarily in early-stage PC and associated them with positive sentiments. All stakeholders deﬁned cure differently but communicated about it in relation to disease measurements (e.g. prostate-speciﬁc antigen) or surgery. Stakeholders preferred different terms when discussing cure in PC: Cure (academic researchers), Cure rates (HCPs), Potential cure and Survivor/Survivorship (policymakers) and Cure and Survivor (general public) . Conclusion: This human-led, AI-assisted large-scale qualitative language-based research revealed that cure was commonly discussed by academic researchers, HCPs, policymakers and the general public, especially in early-stage PC. Stakeholders deﬁned and contextualised cure in their communications differently and associated it with positive value. Key words: early-stage prostate cancer, localised prostate cancer, locally advanced prostate cancer, LPC, LAPC, LPC/LAPC INTRODUCTION Prostate cancer (PC), categorised as localised (LPC), locally advanced (LAPC), non-metastatic or metastatic, is the *Correspondence to: Dr Eleni Efstathiou, Houston Methodist Cancer Center, 6445 Main St. Ste 2400, Houston, TX 77030, USA. Tel: +1 (713) 441-4934 E-mail: [eefstathiou@houstonmethodist.org](eefstathiou@houstonmethodist.org) (E. Efstathiou). 2059-7029/© 2024 The Authors. Published by Elsevier Ltd on behalf of European Societ

FAQs

What is the study’s main goal regarding “cure” in prostate cancer?

To understand how stakeholders perceive and define “cure” in prostate cancer so that communication about curative-intent treatments can be prepared more effectively.

How were cure-related sources and data collected in the study?

Subject-matter experts selected cure-related keywords using a semantic literature search engine, then extracted relevant hits from Medline, Sermo, and Overton; social media mentions were searched and processed with a natural language processing and analytics tool.

What did the researchers find about how stakeholders discussed cure?

Stakeholders discussed cure-related terms primarily in early-stage prostate cancer and associated them with positive sentiments, but they defined cure differently and preferred different terms depending on whether they were academic researchers, healthcare providers, policymakers, or the general public.

Sep 22, 2026

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