Validation of a Digital Pathology–Based Multimodal Artificial Intelligence Biomarker in a Prospective, Real-World Prostate Cancer Cohort Treated with Prostatectomy
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| Title: | Validation of a Digital Pathology–Based Multimodal Artificial Intelligence Biomarker in a Prospective, Real-World Prostate Cancer Cohort Treated with Prostatectomy |
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| Authors: | Bjartell, Anders, Krzyzanowska, Agnieszka, Liu, Vinnie Y.T., Tierney, Meghan, Royce, Trevor J., Sjöström, Martin, Palominos-Rivera, Marisol Macarena, Chen, Emmalyn, Kraft, Alexandra, Esteva, Andre, Feng, Felix Y. |
| Contributors: | Lund University, Faculty of Medicine, Department of Translational Medicine, Urological cancer, Malmö, Lunds universitet, Medicinska fakulteten, Institutionen för translationell medicin, Urologisk cancerforskning, Malmö, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), EpiHealth: Epidemiology for Health, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), EpiHealth: Epidemiology for Health, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Biomarkers and epidemiology, Breast cancer Proteogenomics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Biomarkörer och Epi, Bröstcancer Proteogenomik, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast cancer treatment, Personalized Breast Cancer Treatment, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancerbehandling, Individuell Bröstcancerbehandling, Originator |
| Source: | Clinical Cancer Research. 31(8):1546-1553 |
| Subject Terms: | Medical and Health Sciences, Clinical Medicine, Cancer and Oncology, Medicin och hälsovetenskap, Klinisk medicin, Cancer och onkologi |
| Description: | Purpose: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial data from North American men with localized prostate cancer treated with definitive radiation, using biopsy digital pathology images and key clinical information (age, PSA, and T-stage) to generate prognostic scores. This study externally validates the biomarker in a prospective, real-world dataset of men who underwent radical prostatectomy (RP) for localized prostate cancer at a tertiary referral center in Sweden. Experimental Design: Association between the MMAI scores (continuous and categorical) and endpoints of interest was assessed with Fine–Gray and cumulative incidence analyses for biochemical recurrence (BCR) and logistic regression for adverse pathology (AP) at RP. Results: The analysis included 143 patients with evaluable biopsy pathology images and complete clinical data to generate MMAI scores. The median follow-up was 8.8 years. At diagnosis, the median PSA was 7.5 ng/mL, the median age was 64 years, 29% had a Gleason grade group ≥3, and 88 men were evaluable for AP at RP. MMAI was significantly associated with BCR [subdistribution HR, 2.45; 95% confidence interval (CI), 1.77–3.38; P < 0.001] and AP at RP (OR, 4.85; 95% CI, 2.54–10.78; P < 0.001). Estimated 5-year BCR rates for MMAI intermediate to high versus low were 25% (95% CI, 16%–36%) versus 4% (95% CI, 1%–11%), respectively. Conclusions: The MMAI biomarker, previously shown to be prognostic for distant metastasis and prostate cancer–specific mortality in men receiving definitive radiation, was prognostic for post-RP endpoints: BCR and AP. This biomarker validation study further supports the use of MMAI biomarkers in men with prostate cancer outside North America and those treated with RP. |
| Access URL: | https://doi.org/10.1158/1078-0432.CCR-24-3656 |
| Database: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: Validation of a Digital Pathology–Based Multimodal Artificial Intelligence Biomarker in a Prospective, Real-World Prostate Cancer Cohort Treated with Prostatectomy – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bjartell%2C+Anders%22">Bjartell, Anders</searchLink><br /><searchLink fieldCode="AR" term="%22Krzyzanowska%2C+Agnieszka%22">Krzyzanowska, Agnieszka</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Vinnie+Y%2ET%2E%22">Liu, Vinnie Y.T.</searchLink><br /><searchLink fieldCode="AR" term="%22Tierney%2C+Meghan%22">Tierney, Meghan</searchLink><br /><searchLink fieldCode="AR" term="%22Royce%2C+Trevor+J%2E%22">Royce, Trevor J.</searchLink><br /><searchLink fieldCode="AR" term="%22Sjöström%2C+Martin%22">Sjöström, Martin</searchLink><br /><searchLink fieldCode="AR" term="%22Palominos-Rivera%2C+Marisol+Macarena%22">Palominos-Rivera, Marisol Macarena</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Emmalyn%22">Chen, Emmalyn</searchLink><br /><searchLink fieldCode="AR" term="%22Kraft%2C+Alexandra%22">Kraft, Alexandra</searchLink><br /><searchLink fieldCode="AR" term="%22Esteva%2C+Andre%22">Esteva, Andre</searchLink><br /><searchLink fieldCode="AR" term="%22Feng%2C+Felix+Y%2E%22">Feng, Felix Y.</searchLink> – Name: Author Label: Contributors Group: Au Data: Lund University, Faculty of Medicine, Department of Translational Medicine, Urological cancer, Malmö, Lunds universitet, Medicinska fakulteten, Institutionen för translationell medicin, Urologisk cancerforskning, Malmö, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), EpiHealth: Epidemiology for Health, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), EpiHealth: Epidemiology for Health, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Biomarkers and epidemiology, Breast cancer Proteogenomics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Biomarkörer och Epi, Bröstcancer Proteogenomik, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast cancer treatment, Personalized Breast Cancer Treatment, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancerbehandling, Individuell Bröstcancerbehandling, Originator – Name: TitleSource Label: Source Group: Src Data: <i>Clinical Cancer Research</i>. 31(8):1546-1553 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Medical+and+Health+Sciences%22">Medical and Health Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+Medicine%22">Clinical Medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+and+Oncology%22">Cancer and Oncology</searchLink><br /><searchLink fieldCode="DE" term="%22Medicin+och+hälsovetenskap%22">Medicin och hälsovetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Klinisk+medicin%22">Klinisk medicin</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+och+onkologi%22">Cancer och onkologi</searchLink> – Name: Abstract Label: Description Group: Ab Data: Purpose: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial data from North American men with localized prostate cancer treated with definitive radiation, using biopsy digital pathology images and key clinical information (age, PSA, and T-stage) to generate prognostic scores. This study externally validates the biomarker in a prospective, real-world dataset of men who underwent radical prostatectomy (RP) for localized prostate cancer at a tertiary referral center in Sweden. Experimental Design: Association between the MMAI scores (continuous and categorical) and endpoints of interest was assessed with Fine–Gray and cumulative incidence analyses for biochemical recurrence (BCR) and logistic regression for adverse pathology (AP) at RP. Results: The analysis included 143 patients with evaluable biopsy pathology images and complete clinical data to generate MMAI scores. The median follow-up was 8.8 years. At diagnosis, the median PSA was 7.5 ng/mL, the median age was 64 years, 29% had a Gleason grade group ≥3, and 88 men were evaluable for AP at RP. MMAI was significantly associated with BCR [subdistribution HR, 2.45; 95% confidence interval (CI), 1.77–3.38; P < 0.001] and AP at RP (OR, 4.85; 95% CI, 2.54–10.78; P < 0.001). Estimated 5-year BCR rates for MMAI intermediate to high versus low were 25% (95% CI, 16%–36%) versus 4% (95% CI, 1%–11%), respectively. Conclusions: The MMAI biomarker, previously shown to be prognostic for distant metastasis and prostate cancer–specific mortality in men receiving definitive radiation, was prognostic for post-RP endpoints: BCR and AP. This biomarker validation study further supports the use of MMAI biomarkers in men with prostate cancer outside North America and those treated with RP. – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://doi.org/10.1158/1078-0432.CCR-24-3656" linkWindow="_blank">https://doi.org/10.1158/1078-0432.CCR-24-3656</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1158/1078-0432.CCR-24-3656 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1546 Subjects: – SubjectFull: Medical and Health Sciences Type: general – SubjectFull: Clinical Medicine Type: general – SubjectFull: Cancer and Oncology Type: general – SubjectFull: Medicin och hälsovetenskap Type: general – SubjectFull: Klinisk medicin Type: general – SubjectFull: Cancer och onkologi Type: general Titles: – TitleFull: Validation of a Digital Pathology–Based Multimodal Artificial Intelligence Biomarker in a Prospective, Real-World Prostate Cancer Cohort Treated with Prostatectomy Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bjartell, Anders – PersonEntity: Name: NameFull: Krzyzanowska, Agnieszka – PersonEntity: Name: NameFull: Liu, Vinnie Y.T. – PersonEntity: Name: NameFull: Tierney, Meghan – PersonEntity: Name: NameFull: Royce, Trevor J. – PersonEntity: Name: NameFull: Sjöström, Martin – PersonEntity: Name: NameFull: Palominos-Rivera, Marisol Macarena – PersonEntity: Name: NameFull: Chen, Emmalyn – PersonEntity: Name: NameFull: Kraft, Alexandra – PersonEntity: Name: NameFull: Esteva, Andre – PersonEntity: Name: NameFull: Feng, Felix Y. – PersonEntity: Name: NameFull: Lund University, Faculty of Medicine, Department of Translational Medicine, Urological cancer, Malmö, Lunds universitet, Medicinska fakulteten, Institutionen för translationell medicin, Urologisk cancerforskning, Malmö, Originator – PersonEntity: Name: NameFull: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator – PersonEntity: Name: NameFull: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), EpiHealth: Epidemiology for Health, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), EpiHealth: Epidemiology for Health, Originator – PersonEntity: Name: NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Biomarkers and epidemiology, Breast cancer Proteogenomics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Biomarkörer och Epi, Bröstcancer Proteogenomik, Originator – PersonEntity: Name: NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast cancer treatment, Personalized Breast Cancer Treatment, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancerbehandling, Individuell Bröstcancerbehandling, Originator IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10780432 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: LU_SWEPUB Numbering: – Type: volume Value: 31 – Type: issue Value: 8 Titles: – TitleFull: Clinical Cancer Research Type: main |
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