Li-Fraumeni syndrome (LFS) is a cancer predisposition syndrome caused by pathogenic TP53 variants. The condition represents one of the most relevant genetic causes of cancer in children and adults due to its frequency and high cancer risk. The term Li-Fraumeni spectrum reflects the evolving phenotypic variability of the condition. Within this spectrum, patients who meet specific LFS criteria are diagnosed with LFS, while patients who do not meet these criteria are diagnosed with attenuated LFS. To explore genotype–phenotype correlations we analyzed 141 individuals from 94 families with pathogenic TP53 variants registered in the German Cancer Predisposition Syndrome Registry. Twenty-one (22%) families had attenuated LFS and 73 (78%) families met the criteria of LFS. NULL variants occurred in 32 (44%) families with LFS and in two (9.5%) families with attenuated LFS (P value < 0.01). Kato partially functional variants were present in 10 out of 53 (19%) families without childhood cancer except adrenocortical carcinoma (ACC) versus 0 out of 41 families with childhood cancer other than ACC alone (P value < 0.01). Our study suggests genotype–phenotype correlations encouraging further analyses.
To the editor
Li-Fraumeni syndrome (LFS; OMIM151623) is a cancer predisposition syndrome caused by pathogenic variants (PVs) in the TP53 tumor suppressor gene and represents one of the best characterized genetic causes of cancer in children and adults [1,2,3,4]. The use of modern DNA-sequencing methods has revealed TP53 germline PVs in individuals who do not meet established clinical LFS criteria, leading to a Li-Fraumeni spectrum classification . We analyzed factors influencing the cancer risk across this spectrum. The overall aim of such studies is to improve risk prediction to inform cancer surveillance.
Founded in 2017, the German Cancer Predisposition Syndrome Registry collects information on genotypes, personal medical details, family histories, and surveillance, as well as a range of biospecimens. The cutoff date for study inclusion for the present analysis was July 31, 2021. Patients with a germline TP53 PV (pathogenic or likely pathogenic) or with a somatic mosaic TP53 PV were included. All variants were curated according to TP53 specific guidelines . Classic LFS criteria , Chompret criteria  as well as the Li-Fraumeni spectrum classification  were assessed. To search for genotype–phenotype correlations we used functional data from Kato , Giacomelli , Kotler  as well as estimated dominant negative effects based on studies by Monti  and Dearth . We tabulated the 94 LFS families and applied the Fisher's exact test to analyze whether the phenotypes (1) LFS versus attenuated LFS and (2) occurrence of childhood cancer other than adrenocortical carcinoma (ACC) alone versus cancer free childhood except ACC were associated with specific genotypic/functional TP53 PV subgroups. A P value of < 0.01 was considered statistically significant. Ethics review and informed consent were obtained.
An overview of all variants, functional data categories, and associated phenotypes including personal and family histories are provided in Additional file 1. The cohort comprises 141 individuals from 94 families; 43 (30.5%) individuals were children or adolescents < 18 years, whereas 98 (69.5%) individuals were adults. There were 98 female and 43 male patients (male-to-female ratio: 0.44). This uneven gender distribution may be due to females being tested more frequently in the context of a breast cancer diagnosis. Four cases with somatic mosaicism were reported. TP53 PVs as well as statistically significant genotype–phenotype correlations are depicted in Fig. 1.
According to the Li-Fraumeni spectrum classification , the cohort included 79 individuals with LFS, 33 LFS carriers as well as 14 individuals with attenuated LFS and 15 attenuated LFS carriers. No consistent signs of anticipation were observed. In the entire cohort, 33 families (35.1%) did not meet any of the established LFS testing criteria. Thirty-four LFS patients (30.4%) had multiple (between two and five) malignancies, whereas six patients with attenuated LFS (20.7%) had a history of multiple (between two and four) malignancies. Overall, 134 neoplasms occurred in 79 LFS patients, whereas 26 malignancies occurred in 14 individuals with attenuated LFS (Fig. 2). In patients with LFS, breast cancer ≤ 30 years, osteosarcoma, rhabdomyosarcoma, non-rhabdomyosarcoma soft tissue sarcoma, ACC, and central nervous system tumors were diagnosed in 73 of 134 (55%) patients. In individuals with attenuated LFS, more than half of the tumors diagnosed were breast cancers > 30 years. The proportion of miscellaneous neoplasms not known to be strongly associated with TP53 germline PVs was 34.6% in patients with attenuated LFS compared to 17.9% in patients with LFS. Altogether, 65 breast cancers occurred in the entire cohort, 26 of which were HER2 + , 24 were HER2-, and for 15 tumors histological details were not available.
Kato partially functional variants were statistically significantly associated with a cancer-free childhood, apart from childhood ACC (10 out of 53 families without childhood cancer except ACC versus 0 out of 41 families with childhood cancer except ACC alone, P value < 0.01). Typical LFS childhood cancers (i.e., rhabdomyosarcoma, osteosarcoma, choroid plexus carcinoma, medulloblastoma, other brain tumors, and leukemia)—excluding ACC—occurred exclusively in individuals with NULL variants or non-functional missense variants. In general, childhood cancer occurred in more than half of the families with NULL (58.8%) or non-functional missense (52%) variants, whereas in families with partially functional variants ACC was observed as the only childhood cancer, affecting 30% of these families. We observed a statistically significant association between NULL variants and LFS, while this variant type was rare among patients with attenuated LFS: 32 out of 73 families with LFS carried NULL variants, whereas NULL variants were present in two out of 21 families with attenuated LFS (P value < 0.01). We did not observe additional statistically significant associations when analyzing the other functional variant subgroups. Case ascertainment, differences in overall survival, family size, and/or family clustering may have introduced a potential bias and represent a limitation of our study.
Despite this limitation, these data suggest that future more detailed genotype–phenotype correlations may allow for accurate cancer risk prediction (time to first malignancy and second cancer risk) and personalized cancer surveillance. Large, international collaboration is required to reach the statistical power to make such risk predictions. Our findings are in agreement with previously published results assessing the correlation between TP53 genotypes and various other cancer phenotypes in LFS [12, 13]. The observation that a substantial proportion of patients is missed using established LFS testing criteria suggests that the criteria require modification.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its Additional file 1.
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We thank Christina Reimer and Editha Gnutzmann for their support.
CPK and SMP have been supported by the Deutsche Kinderkrebsstiftung (DKS2019.13). CPK has been supported by BMBF ADDRess (01GM1909A). SMP, MK, and HPS have been supported by BMBF ADDRess (01GM1909E). SS has been supported by BMBF ADDRess (01GM1909D).
Authors and Affiliations
Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
Judith Penkert, Farina J. Strüwe, Christina M. Dutzmann, Beate B. Doergeloh, Birte Sänger, Beatrice Hoffmann, Tanja Gerasimov & Christian P. Kratz
Department of Human Genetics, Hannover Medical School, Hannover, Germany
Univ. Grenoble Alpes, Inserm 1209, CNRS 5309, Institute for Advanced Biosciences, F38000, Grenoble, France
Emilie Montellier, Claire Freycon & Pierre Hainaut
Department of Pediatrics, Grenoble Alpes University Hospital, Grenoble, France
Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
Myriam Keymling & Heinz-Peter Schlemmer
Department of Pediatric Oncology, Hematology and Immunology, Olgahospital, Klinikum Stuttgart, Stuttgart, Germany
Department of Haematology and Oncology, Sana Hospitals, Lübeck, Germany
Paediatric and Adolescent Medicine, University Medical Center Augsburg, Augsburg, Germany
Division of Pediatric Hematology and Oncology, Department of Pediatric and Adolescent Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Department of Pediatric Oncology and Hematology, MITERA Children’s Hospital, Athens, Greece
Department of Oncology, University Children’s Hospital Zürich, Zurich, Switzerland
Sabine Kroiss Benninger
Department of Haematology, Oncology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
Sarah Schott & Juliane Nees
Department of Pediatric Hematology/Oncology, Helios Clinic Schwerin, Schwerin, Germany
Medical School Hamburg (MSH), University of Applied Sciences and Medical University, Hamburg, Germany
Department of Pediatric Hematology and Oncology, Children’s Hospital, Cologne, Germany
Pediatric Oncology Department, Otto von Guericke University Children’s Hospital, Magdeburg, Germany
Division of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Graz, Austria
Markus G. Seidel
Pediatric Hematology and Oncology, University Hospital, Frankfurt, Germany
Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
Kristian W. Pajtler & Stefan M. Pfister
Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
Kristian W. Pajtler & Stefan M. Pfister
Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
CPK was involved in all aspects of the study; JP conducted the analysis and prepared the manuscript; FS, CMD, BBD, BH, BS, and TG were responsible for running the LFS registry; EM, CF, PH were involved in data interpretation, MK, HPS, CB, SF, MF, SH, UK, VR, SKB, AM, JN, AP, AR, MGS, SZ, KWP, SMP, and SS provided information on LFS patients. All authors read and approved the final manuscript.
TP53 (NM_000546.5) variants, functional data categories, and associated phenotypes. Abbreviations: Acute lymphatic leukemia (ALL), acute myeloid leukemia (AML), adrenocortical carcinoma (ACC), bilateral (bilat), breast cancer (BC), carcinoma (CA), choroid plexus carcinoma (CPC), chronic lymphatic leukemia (CLL), chronic myeloid leukemia (CML), colorectal carcinoma (CRC), ductal carcinoma in situ (DCIS), estrogen receptor (ER), female (f), human epidermal growth factor receptor 2 positive (Her2+), Li-Fraumeni syndrome (LFS), lobular intraepithelial neoplasia (LIN), male (m), medulloblastoma (MB), myelodysplastic syndrome (MDS), neuroblastoma (NBL), non-small-cell lung carcinoma (NSCLC), not available (NA), osteosarcoma (OS), Primitive Neuro-Ectodermal Tumor (PNET), progesterone receptor (PR), rhabdomyosarcoma (RMS), soft tissue sarcoma (STS), triple-negative breast cancer (TNBC). Variants marked * were classified as NULL variants; to reduce complexity, smaller (less than whole exon) deletions were rated as NULL variants as well. The DNE IARC estimation, based largely on studies by Monti and Dearth, was accessed via the TP53 Database (https://tp53.isb-cgc.org).
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Penkert, J., Strüwe, F.J., Dutzmann, C.M. et al. Genotype–phenotype associations within the Li-Fraumeni spectrum: a report from the German Registry.
J Hematol Oncol15, 107 (2022). https://doi.org/10.1186/s13045-022-01332-1