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Eberl M, Tanaka LF, Kraywinkel K, Klug SJ. Histology-specific standardized incidence ratio improves the estimation of second primary lung cancer risk. BMC Med 2024; 22:187. [PMID: 38702684 PMCID: PMC11069219 DOI: 10.1186/s12916-024-03398-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 04/22/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Lung cancer (LC) survivors are at increased risk for developing a second primary cancer (SPC) compared to the general population. While this risk is particularly high for smoking-related SPCs, the published standardized incidence ratio (SIR) for lung cancer after lung cancer is unexpectedly low in countries that follow international multiple primary (IARC/IACR MP) rules when compared to the USA, where distinct rules are employed. IARC/IACR rules rely on histology-dependent documentation of SPC with the same location as the first cancer and only classify an SPC when tumors present different histology. Thus, SIR might be underestimated in cancer registries using these rules. This study aims to assess whether using histology-specific reference rates for calculating SIR improves risk estimates for second primary lung cancer (SPLC) in LC survivors. METHODS We (i) use the distribution of histologic subtypes of LC in population-based cancer registry data of 11 regional cancer registries from Germany to present evidence that the conventional SIR metric underestimates the actual risk for SPLC in LC survivors in registries that use IARC/IACR MP rules, (ii) present updated risk estimates for SPLC in Germany using a novel method to calculate histological subtype-specific SIRs, and (iii) validate this new method using US SEER (Surveillance, Epidemiology, and End Results Program) data, where different MP rules are applied. RESULTS The adjusted relative risk for lung cancer survivors in Germany to develop an SPLC was 2.98 (95% CI 2.53-3.49) for females and 1.15 (95% CI 1.03-1.27) for males using the novel histology-specific SIR. When using IARC/IACR MP rules, the conventional SIR underestimates the actual risk for SPLC in LC survivors by approximately 30% for both sexes. CONCLUSIONS Our proposed histology-specific method makes the SIR metric more robust against MP rules and, thus, more suitable for cross-country comparisons.
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Affiliation(s)
- Marian Eberl
- TUM School of Medicine and Health, Technical University of Munich, Georg-Brauchle-Ring 56, Munich, 80992, Germany.
| | - Luana F Tanaka
- TUM School of Medicine and Health, Technical University of Munich, Georg-Brauchle-Ring 56, Munich, 80992, Germany
| | - Klaus Kraywinkel
- German Centre for Cancer Registry Data, Robert Koch-Institut, Nordufer 20, Berlin, 13353, Germany
| | - Stefanie J Klug
- TUM School of Medicine and Health, Technical University of Munich, Georg-Brauchle-Ring 56, Munich, 80992, Germany
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Chen T, Brenner H, Fallah M, Jansen L, Castro FA, Geiss K, Holleczek B, Katalinic A, Luttmann S, Sundquist K, Ressing M, Xu L, Hemminki K. Response: Methods for second primary cancers evaluation have to be standardized. Int J Cancer 2018; 142:1286-1287. [PMID: 29134649 DOI: 10.1002/ijc.31151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 10/10/2017] [Indexed: 11/09/2022]
Affiliation(s)
- Tianhui Chen
- Group of Molecular Epidemiology & Cancer Precision Prevention (GMECPP), Institute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.,Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Ningbo University Medical School, Ningbo, China
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mahdi Fallah
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Lina Jansen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Felipe A Castro
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Karla Geiss
- Bavarian Health and Food Safety Authority, Centre of Early Cancer Detection and Cancer Registration, Nürnberg, Germany
| | | | | | - Sabine Luttmann
- Cancer Registry of Bremen, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden.,Stanford University School of Medicine, Stanford Prevention Research Center, Stanford, CA
| | - Meike Ressing
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre, Johannes Gutenberg University Mainz, Mainz, Germany.,Cancer Registry Rhineland-Palatinate, Mainz, Germany
| | - Leiting Xu
- Ningbo University Medical School, Ningbo, China
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Center for Primary Health Care Research, Lund University, Malmö, Sweden
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