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Chronic kidney disease and incident cancer risk: an individual participant data meta-analysis

  • CKD Prognosis Consortium
  • , CKD-PC Data Coordinating Center
  • , CKD-PC Steering Committee
  • , ULSAM
  • , UK Biobank
  • , Taiwan MJ
  • , SKS
  • , SHARP
  • , SEED
  • , RCAV
  • , Rancho Bernardo
  • , PREVEND
  • , OLDW
  • , NYU
  • , MESA
  • , KCPS-II
  • , Go-DARTS
  • , Geisinger
  • , GCKD
  • , ESTHER
  • ELSA-Brasil, CRIC, CKD-REIN, CARE, BioVu, ARIC, ADVANCE, Yejin Mok, Aditya Surapaneni, Yingying Sang, Josef Coresh, Morgan Grams, Kunihiro Matsushita, Shoshana H. Ballew*, Natalia Alencar de Pinho, Johan Ärnlöv, Sandhi M. Barreto, Samira Bell, Hermann Brenner, Juan Jesus Carrero, Rajkumar Chinnadurai, Elizabeth Ciemins, Ron T. Gansevoort, Simerjot K. Jassal, Keum Ji Jung, H. Lester Kirchner, Tsuneo Konta, Csaba P. Kovesdy, Li Luo, Krutika Pandit, Mahboob Rahman, Cassianne Robinson-Cohen, Charumathi Sabanayagam, Ulla T. Schultheiss, Michael G. Shlipak, Natalie Staplin, Marcello Tonelli, Angela Yee Moon Wang, Chi Pang Wen, Mark Woodward, Jennifer S. Lees
*Corresponding author for this work
  • Johns Hopkins Bloomberg School of Public Health
  • New York University School of Medicine
  • University Paris-Sud
  • Karolinska Institutet
  • Dalarna University
  • Universidade Federal de Minas Gerais
  • University of Dundee School of Medicine
  • Ruprecht Karl University of Heidelberg
  • Stockholm County Council
  • Northern Care Alliance NHS Foundation Trust
  • American Medical Group Association
  • University Medical Centre Groningen
  • University of California at San Diego
  • Department of Veterans Affairs
  • Yonsei University
  • Geisinger Medical Center
  • Yamagata University
  • University of Tennessee Health Science Center
  • University Hospitals Case Medical Center
  • Vanderbilt University School of Medicine
  • Singapore National Eye Center
  • Duke-NUS Graduate Medical School
  • University of Freiburg
  • Synlab MVZ Humangenetik Freiburg GmbH
  • University of California at San Francisco
  • University of Oxford
  • Cumming School of Medicine
  • National University of Singapore
  • China Medical University Taichung
  • University of New South Wales
  • Imperial College London
  • University of Glasgow
  • NHS Greater Glasgow and Clyde
  • London School of Hygiene and Tropical Medicine
  • Tufts Medical Center
  • Uppsala University

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
3 Downloads (Pure)

Abstract

Background: 

Studies examining the association of chronic kidney disease (CKD) with cancer risk have demonstrated conflicting results. 

Methods: 

This was an individual participant data meta-analysis including 54 international cohorts contributing to the CKD Prognosis Consortium. Included cohorts had data on albuminuria [urine albumin-to-creatinine ratio (ACR)], estimated glomerular filtration rate (eGFR), overall and site-specific cancer incidence, and established risk factors for cancer. Included participants were aged 18 years or older, without previous cancer or kidney failure.

Results:

Among 1,319,308 individuals, the incidence rate of overall cancer was 17.3 per 1000 person-years. Higher ACR was positively associated with cancer risk [adjusted hazard ratio 1.08 (95% CI 1.06–1.10) per 8-fold increase in ACR]. No association of eGFR with overall cancer risk was seen. For site-specific cancers, lower eGFR was associated with urological cancer and multiple myeloma, whereas higher ACR was associated with many cancer types (kidney, head/neck, colorectal, liver, pancreas, bile duct, stomach, larynx, lung, hemolymphatic, leukaemia, and multiple myeloma). Results were similar in a 1-year landmark analysis. 

Discussion: 

Albuminuria, but not necessarily eGFR, was independently associated with the subsequent risk of cancer. Our results warrant an investigation into mechanisms that explain the link between albuminuria and cancer.

Original languageEnglish
Pages (from-to)1535-1543
Number of pages9
JournalBritish Journal of Cancer
Volume133
Issue number10
DOIs
Publication statusPublished - 30 Nov 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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