Evidence map›Paper›PMID 40833927›Full record

ArticleJournal of the National Cancer Institute2025

Basal cell carcinoma risk prediction in survivors of childhood cancer.

Cindy Im, Christina Boull, Zhe Lu, Kenneth Liao, Hasibul Hasan, Linwan Xu, Yadav Sapkota, Rebecca M Howell, Michael A Arnold, Miriam R Conces and 13 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Cindy ImDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0003-0931-9432
Christina BoullDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0002-6393-4885
Zhe LuSchool of Public Health, University of Alberta, Edmonton, Canada.
Kenneth LiaoDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, United States.ORCID 0009-0000-5502-3523
Hasibul HasanDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0003-0518-5676
Linwan XuSchool of Public Health, University of Alberta, Edmonton, Canada.
Yadav SapkotaDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, United States.ORCID 0000-0001-5943-9454
Rebecca M HowellDepartment of Radiation Physics, University of Texas at MD Anderson Cancer Center, Houston, TX, United States.
Michael A ArnoldDepartment of Pathology, University of Colorado, Boulder, CO, United States.ORCID 0000-0002-6921-3720
Miriam R ConcesDepartment of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, OH, United States.
Ashley J HoustenDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, United States.ORCID 0000-0002-7379-0678
Judith GebauerDepartment of Internal Medicine, University Hospital of Schleswig-Holstein, Lübeck, Germany.ORCID 0000-0003-4428-8010
Thorsten LangerDepartment of Internal Medicine, University Hospital of Schleswig-Holstein, Lübeck, Germany.ORCID 0000-0002-7047-2957
Jop C TeepenPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.ORCID 0000-0002-2647-2677
Leontien C M KremerPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.ORCID 0000-0001-7422-3248
Louis S ConstineDepartments of Radiation Oncology and Pediatrics, University of Rochester Medical Center, Wilmot Cancer Institute, Rochester, NY, United States.ORCID 0000-0003-0742-1740
Yutaka YasuiDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, United States.ORCID 0000-0002-7717-8638
Melissa M HudsonDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, United States.ORCID 0000-0001-6984-2407
Kirsten K NessDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, United States.ORCID 0000-0002-2084-1507
Gregory T ArmstrongDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, United States.ORCID 0000-0001-8722-4207
Joseph P NegliaDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0002-5525-0598
Yan YuanSchool of Public Health, University of Alberta, Edmonton, Canada.ORCID 0000-0002-2073-9924
Lucie M TurcotteDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0003-4106-6172

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Shondra Michelle Miller · 1985 to 2026
$166.9M
Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
The St. Jude Lifetime CohortU01CA195547 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HUDSON, MELISSA M, NESS, KIRSTEN KIMBERLIE · 2015 to 2024
$14.9M
Late Effects Prediction using Clinical Phenotypes and Whole Genome SequencingR01CA216354 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI YASUI, YUTAKA, ZHANG, JINGHUI · 2017 to 2021
$3.4M
Developing and validating race-specific cardiomyopathy risk prediction models in African American survivors of childhood cancerR01HL173881 · NHLBI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Cindy Im, Yadav Sapkota · 2024 to 2026
$2.3M
The St. Jude Lifetime Cohort StudyU01CA301480 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI MELISSA M HUDSON, Kirsten Kimberlie Ness · 2025 to 2026
$2.1M
Treatment-specific genetic risk scores for late effects prediction in childhood,adolescent, and young adult cancer survivorsR21CA261833 · NCI · UNIVERSITY OF MINNESOTA · PI IM, CINDY, YUAN, YAN · 2021 to 2021
$279k
American Lebanese-Syrian Associated CharitiesCancer Center Support CA21765Childhood Cancer Survivor Study U24 CA55727Children's Cancer Research FundCIHR FRN 148693NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA216354NCI NIH HHS R21 CA261833NCI NIH HHS U01 CA195547NCI NIH HHS U01 CA301480NCI NIH HHS U24 CA055727NHLBI NIH HHS R01 HL173881St Jude Children's Research HospitalUniversity of Minnesota Foundation Pediatric Scholar Award
6 · The paper itself

Abstract

backgroundSurvivors of childhood cancer face excess risk of developing basal cell carcinoma. Age-specific basal cell carcinoma risk prediction models for survivors may support targeted screening recommendations.

methodsWe developed models predicting basal cell carcinoma risk by ages 40 and 50 years featuring detailed cancer treatment predictors, utilizing statistical and machine-learning algorithms and data from 23 166 five-year survivors in the Childhood Cancer Survivor Study, a multi-institutional retrospective cohort study. Selected models were externally validated in 5314 survivors in the St Jude Lifetime Cohort. Model discrimination and precision were evaluated using the area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC) and benchmarked against the current Children's Oncology Group Long-Term Follow-Up Guidelines (COG LTFU, v6.0) for skin cancer screening.

resultsBy ages 40 and 50 years, basal cell carcinoma cumulative incidence was 5% and 15% in the Childhood Cancer Survivor Study and 7% and 21% in the St Jude Lifetime Cohort, respectively. The XGBoost algorithm-based models with treatment dose-specific predictors performed best, showing good external discrimination (age 40 years: AUROC = 0.75; age 50 years: AUROC = 0.76) and precision (age 40 years: AUPRC = 0.20; age 50 years: AUPRC = 0.52), outperforming COG LTFU Guideline-directed risk stratification (age 40 years: AUROC = 0.65; age 50 years: AUROC = 0.62; age 40 years: AUPRC = 0.09; age 50 years: AUPRC = 0.26; P < .01). These novel models reclassified 37% of survivors with COG-recommended skin cancer screening as low risk by age 40 years and 29% of survivors without COG-recommended screening as moderate or high risk by age 50 years, suggesting these recommendations overestimate risk in younger survivors and miss relevant predictors (eg, attained age, chemotherapy).

conclusionsIn this study, we present validated basal cell carcinoma risk prediction models for childhood cancer survivors that outperform current practice guidelines. The associated online risk calculator can inform risk- and age-based screening recommendations.

Indexed as

Basal Cell CarcinomaCancer SurvivorsNeoplasmsSkin NeoplasmsAdolescentAdultAlgorithmsChildEarly Detection of CancerFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk Assessment

Identifiers

PMID40833927
PMCPMC12574208

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