Introduction:
Solid organ transplant recipients have approximately three-fold increased risk of a subsequent cancer diagnosis compared to age-matched controls.1 Several studies highlight the diverse histologic origins and frequent viral etiologies of these cancers, including post-transplant lymphoproliferative disorders (PTLDs) typically related to Epstein-Barr virus (EBV).2 PTLD exists along a spectrum, with monomorphic PTLD comprising a heterogeneous set of clonal malignancies fulfilling the pathologic criteria for lymphoma in immunocompetent patients, most commonly diffuse large B cell lymphoma (DLBCL).3
Low-grade B cell neoplasms, such as follicular lymphoma (FL), arising post-transplant are not formally considered PTLD. FL is the most common indolent B cell lymphoma in non-transplant patients.4 The hallmark t(14;18) is found in ~85% of cases and produces an IGH::BCL2 rearrangement; it is also occasionally found in healthy individuals who do not develop FL,5,6 highlighting the requirement for additional mutations to drive lymphomagenesis.7,8
While donor-derived PTLD has been reported after allogeneic hematopoietic cell transplantation,9 donor-derived cancers of any histology after solid organ transplantation are exceedingly rare when donors have no prior cancer history.10 We present a surprising case of a father-daughter, kidney transplant donor-recipient pair both later diagnosed with FL (Figure 1). Genomic profiling confirmed the donor (i.e., father) origin of the recipient’s (i.e., daughter) FL and provides unique insight into FL pathogenesis.
Figure 1:

Timeline of the father’s and daughter’s clinical courses, highlighting the analyzed FL tumors (bold outlines) and PBMC germline normal samples. Created with BioRender.com
Case Presentation:
The patient is a woman with a history of amyloidosis originally diagnosed in 1999 at age 23 in the setting of extensive abdominal amyloid deposition incidentally noted during a cholecystectomy. In 2004, after evaluation of kidney failure at age 28 revealed renal amyloid deposition, she received a kidney transplant from her 48-year-old father. She received standard post-transplant immunosuppression with prednisone, mycophenolate mofetil, and tacrolimus.
In 2006, the father presented with supraclavicular lymphadenopathy. A lymph node biopsy showed effacement of the nodal architecture by follicles of lymphocytes expressing CD10, CD19, CD20, and CD22, leading to a diagnosis of FL. A CT scan revealed non-bulky lymphadenopathy in the cervical, supraclavicular, axillary, and inguinal regions, and splenomegaly. A bone marrow biopsy was negative for involvement by lymphoma, consistent with stage IIIA. He was asymptomatic with low tumor burden by GELF criteria and began observation. In 2009, a tonsillectomy showed involvement by FL. By 2010, progressive lymphadenopathy motivated treatment with six cycles of R-CHOP followed by maintenance rituximab for two years. Subsequently, a 2015 PET-CT scan to evaluate progressive cervical lymphadenopathy and back pain revealed new FDG-avid cervical lymph nodes and a paraspinal mass. He received two cycles of R-bendamustine before discontinuing due to fatigue and infections. Follow-up CT scans showed no evidence of disease until an isolated tonsillar recurrence in 2017 that has not required treatment.
Meanwhile, in 2016, the daughter presented at age 40 to an emergency room due to non-specific abdominal pain. A CT scan revealed modest retroperitoneal lymphadenopathy, and a lymph node biopsy showed a nodular arrangement of lymphocytes expressing CD10, CD20, and BCL2, consistent with FL. In-situ hybridization for EBER was negative. A PET-CT scan revealed FDG-avid paracaval, para-aortic, and aortocaval lymph nodes up to 2.0 × 1.0 cm, consistent with stage IIA. With a low tumor burden by GELF criteria but a potential relationship between her abdominal pain and retroperitoneal lymphadenopathy, she received four doses of weekly rituximab followed by maintenance rituximab for seven doses before discontinuing due to reported mouth sores. She remains disease-free.
Methods:
Informed consent was obtained from the daughter and father for tumor-normal genomic profiling and for publication of this study. Formalin-fixed, paraffin-embedded (FFPE) tissue from the daughter’s 2016 lymph node biopsy and the father’s 2009 tonsillectomy were obtained. Fluorescence in situ hybridization (FISH) was performed on the daughter’s biopsy using the Vysis CEPX SpectrumOrange and CEPY SpectrumGreen DNA Kit. FFPE tissue punches underwent DNA isolation via xylene extraction using the QIAamp DNA Micro Kit. Germline DNA was isolated from peripheral blood mononuclear cells (PBMCs) from the daughter and father using the QIAamp DNA Micro Kit. The father’s tumor and germline DNA, and the daughter’s germline DNA, underwent KAPA Hyper amplified library preparation and IDT Whole Exome capture. The daughter’s tumor DNA underwent SWIFT low-input whole genome library preparation. All libraries were sequenced on an Illumina NovaSeq 6000. Whole exome sequencing (WES) targeted 300X for the father’s tumor sample and 100X for the father’s and daughter’s germline samples, and whole genome sequencing (WGS) targeted 75X for the daughter’s tumor sample. FASTQ files were processed through an in-house pipeline11 utilizing four variant callers (mutect,12 strelka,13 varscan,14 pindel15). Variants exclusively within the exome capture space with allele depth >30 for tumor and normal samples across both patients were analyzed further, with manual review16 requiring five or more supporting reads across three fragments. Read density plots were generated using the karyoploteR package.17 Somatic hypermutation (SHM) motifs were quantified by a custom R script using the ‘attachContext’ function from the mutSignatures package.18
Results:
To interrogate the daughter’s FL for donor origin, we used two approaches to assess for Y chromosome DNA given the male sex of her kidney donor. By FISH, at least one copy of the Y chromosome was observed in 84.5% of the 200 analyzed nuclei from the daughter’s FL. Copy-number analysis of the daughter’s tumor-normal sequencing data revealed the presence of Y chromosome reads exclusively in the tumor sample (Figure 2A). These findings confirm the presence of male-derived tissue in the daughter’s FL biopsy.
Figure 2:

Evidence supporting a shared common precursor for the father’s and daughter’s lymphomas. (A) Density plots of reads mapping to X and Y chromosomes in the father’s and daughter’s PBMC normal and FL tumor samples. (B) Scatter plot of VAF by variant source for all high confidence mutations passing manual review. Non-silent or 5’ UTR mutations in COSMIC Tier 1 and 2 genes are labeled. (C) Phylogenetic tree showing the evolution of the father’s and daughter’s FL tumors. Branch length is proportional to the number of mutations unless crossed. Non-silent or 5’ UTR mutations in COSMIC Tier 1 and 2 genes are listed.
We next identified somatic variants in each of the two tumors. Initial analyses of the father’s tumor-normal pair revealed 233 variants, including alterations in key FL genes such as CREBBP, KMT2D, FOXO1, and STAT6.7,8,19,20 For the daughter’s tumor sample, we performed a standard tumor-normal analysis, and additionally cross-referenced the called variants against the father’s PBMC germline sample. A total of 1486 preliminary variants were identified when comparing the daughter’s tumor to her paired PBMC germline sample, of which 1266 were present in the father’s PBMC germline sample, providing additional evidence of the donor origin of the daughter’s FL.
Given these findings and the potential for the daughter’s donor-derived FL to contain non-malignant cells of her own, we imposed additional stringent filtering to exclude alterations in either tumor sample identified in any germline sample with >1% allele frequency. The remaining variants were manually reviewed16 to obtain 240 high confidence somatic mutations: 76 unique to the daughter, 133 unique to the father, and 31 shared between both tumors (Figure 2B–C, Figure 3, Supplemental Table 1). Assessing the contribution of SHM to the mutational landscape of each tumor, we identified the canonical WRC/GYW motif in 25% (19/76) of the daughter-specific variants, 29% (39/133) of the father-specific variants, and 26% (8/31) of the shared variants (p > 0.05). Notably, of the 31 shared mutations, four impacted COSMIC Tier 1 and 2 genes21 suggesting potential pathogenic consequences: ATP1A1, CREBBP, KMT2D, and ZNFR3. Interestingly, both tumors possessed unique alterations in BTG1. Given reported frequencies of BTG1 mutations in FL of ~7–10%,20,22,23 this observation is unlikely to be due to chance alone (p < 0.01); this shared pathway perturbance in these clonally related lymphomas may have pathobiological relevance.
Figure 3:

High confidence, non-silent or 5’ UTR shared and unique somatic mutations in COSMIC Tier 1 and 2 genes passing manual review in the father’s and daughter’s FL tumors.
Discussion:
To our knowledge, we report the first case of donor-derived FL after solid organ transplantation. The daughter recipient developed FL 12 years post-transplant, a decade after the father donor had developed FL, two years after donating his kidney. Using FISH and next-generation sequencing, we demonstrate that the daughter’s FL is donor-derived and shares multiple mutations with the father’s FL in key genes.
In a prior seminal study of 520,000 healthy participants, 100 subsequently developed FL, of which 56 (56%) had antecedent peripheral blood (PB) samples with detectable IGH::BCL2.6 However, 63 (29%) of 218 matched control individuals also had antecedent PB samples with detectable IGH::BCL2, usually at lower levels. The modest ~60% positive predictive value (PPV) for subsequent FL diagnosis with a permissive IGH::BCL2 threshold (>5×10−6) versus ~85% PPV with a stringent threshold (>1×10−4) suggests clonal expansion of FL precursors, perhaps via acquisition of cooperating mutations, is a feature of follicular lymphomagenesis.
Here, the mutational landscapes of the two related FL samples support several important concepts. First, the shared specific mutations in CREBBP and KMT2D align with prior observations of the typical temporal order of mutations in FL. Namely, CREBBP mutations followed by KMT2D mutations are most enriched within the earliest FL progenitors.24,25 It follows that a premalignant population possessing these plus additional shared mutations was the common cell-of-origin from the father that gave rise to his FL and ‘contaminated’ his donated kidney to give rise to the daughter’s FL. Importantly, CREBBP has hotspot mutations in FL, such as the S1680 in-frame deletion observed in our unique case, which could occur independently in two unrelated lymphomas. However, the additional variants shared between the two lymphomas here, plus their informative sex chromosome data, provide confidence in the shared common precursor.
Further, the two versus 12 years between the kidney transplant procedure and development of FL in the father and daughter, respectively, highlight the indolent yet heterogeneous nature of FL. Interestingly, the father’s FL uniquely possessed mutations in several genes suspected to confer adverse risk in FL including FOXO1 and STAT6.19,20 The father’s FL also possessed more total variants in putative driver genes than the daughter’s FL despite the shorter time for the father’s FL since the evolutionary branching at the transplant procedure. Speculating on possible explanations, the daughter’s post-transplant immunosuppression may have (1) permitted her disease to escape immune surveillance after acquiring fewer pathogenic variants, and/or (2) directly hindered mutation acquisition due to blunted TfH cell activity given the established role of cyclical germinal center re-entry in FL pathogenesis. It is also possible that our technical approach (75X WGS of the daughter’s limited lymph node core biopsy sample vs. 300X WES of the father’s more abundant excisional tonsillectomy sample) may have biased our analyses towards under-calling low VAF variants in the daughter’s tumor.
Finally, several examples exist of ‘favored pathways’ of lymphomagenesis, including paired diagnostic and relapsed DLBCL sharing patterns of mutated genes but not variants.26 In our case, the two FL samples possess different BTG1 alterations. We hypothesize that the common FL precursor here may have been uniquely susceptible to the consequences of BTG1 dysregulation over other mechanisms. Overall, this unusual case provides a unique lens into the biology of FL.
Supplementary Material
Supplemental Table 1: All high confidence mutations in the father’s and daughter’s FL tumors passing manual review irrespective of impacted gene or mutation consequence.
Support:
This work was supported by NIH/NIGMS T32-GM139774 to Kartik Singhal, an ASCO YIA Conquer Cancer grant to David Russler-Germain, as well as Siteman Cancer Center Lymphoma Philanthropy to Brad Kahl.
References:
- 1.Vajdic CM, Leeuwen MT van. Cancer incidence and risk factors after solid organ transplantation. Int J Cancer 2009; 125: 1747–1754. [DOI] [PubMed] [Google Scholar]
- 2.Rossi AP, Klein CL. Posttransplant Malignancy. Surg Clin N Am 2019; 99: 49–64. [DOI] [PubMed] [Google Scholar]
- 3.Atallah-Yunes SA, Salman O, Robertson MJ. Post-transplant lymphoproliferative disorder: Update on treatment and novel therapies. Brit J Haematol 2023. doi: 10.1111/bjh.18763. [DOI] [PubMed] [Google Scholar]
- 4.Cerhan JR. Epidemiology of Follicular Lymphoma. Hematology Oncol Clin North Am 2020; 34: 631–646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Summers KE, Goff LK, Wilson AG, Gupta RK, Lister TA, Fitzgibbon J. Frequency of the Bcl-2/IgH Rearrangement in Normal Individuals: Implications for the Monitoring of Disease in Patients With Follicular Lymphoma. J Clin Oncol 2001; 19: 420–424. [DOI] [PubMed] [Google Scholar]
- 6.Roulland S, Kelly RS, Morgado E, Sungalee S, Solal-Celigny P, Colombat P et al. t(14;18) Translocation: A Predictive Blood Biomarker for Follicular Lymphoma. J Clin Oncol 2014; 32: 1347–1355. [DOI] [PubMed] [Google Scholar]
- 7.Okosun J, Bödör C, Wang J, Araf S, Yang C-Y, Pan C et al. Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nat Genet 2014; 46: 176–181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Krysiak K, Gomez F, White BS, Matlock M, Miller CA, Trani L et al. Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma. Blood 2016; 129: 473–483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Weigert O, Kopp N, Lane AA, Yoda A, Dahlberg SE, Neuberg D et al. Molecular Ontogeny of Donor-Derived Follicular Lymphomas Occurring after Hematopoietic Cell Transplantation. Cancer Discov 2012; 2: 47–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Gandhi MJ, Strong DM. Donor derived malignancy following transplantation: a review. Cell Tissue Bank 2007; 8: 267–286. [DOI] [PubMed] [Google Scholar]
- 11.Griffith M, Griffith OL, Smith SM, Ramu A, Callaway MB, Brummett AM et al. Genome Modeling System: A Knowledge Management Platform for Genomics. Plos Comput Biol 2015; 11: e1004274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cibulskis K, Lawrence MS, Carter SL, Sivachenko A, Jaffe D, Sougnez C et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat Biotechnol 2013; 31: 213–219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kim S, Scheffler K, Halpern AL, Bekritsky MA, Noh E, Källberg M et al. Strelka2: fast and accurate calling of germline and somatic variants. Nat Methods 2018; 15: 591–594. [DOI] [PubMed] [Google Scholar]
- 14.Koboldt DC, Zhang Q, Larson DE, Shen D, McLellan MD, Lin L et al. VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Res 2012; 22: 568–576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ye K, Schulz MH, Long Q, Apweiler R, Ning Z. Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads. Bioinformatics 2009; 25: 2865–2871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Barnell EK, Ronning P, Campbell KM, Krysiak K, Ainscough BJ, Sheta LM et al. Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples. Genet Med 2019; 21: 972–981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gel B, Serra E. karyoploteR: an R/Bioconductor package to plot customizable genomes displaying arbitrary data. Bioinformatics 2017; 33: 3088–3090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fantini D, Vidimar V, Yu Y, Condello S, Meeks JJ. MutSignatures: an R package for extraction and analysis of cancer mutational signatures. Sci Rep-uk 2020; 10: 18217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Pastore A, Jurinovic V, Kridel R, Hoster E, Staiger AM, Szczepanowski M et al. Integration of gene mutations in risk prognostication for patients receiving first-line immunochemotherapy for follicular lymphoma: a retrospective analysis of a prospective clinical trial and validation in a population-based registry. Lancet Oncol 2015; 16: 1111–1122. [DOI] [PubMed] [Google Scholar]
- 20.Russler-Germain DA, Krysiak K, Ramirez C, Mosior M, Watkins MP, Gomez F et al. Mutations Associated with Progression in Follicular Lymphoma Predict Inferior Outcomes in Newly Diagnosed Patients (Alliance 151303). Blood 2022; 140: 3543–3545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tate JG, Bamford S, Jubb HC, Sondka Z, Beare DM, Bindal N et al. COSMIC: the Catalogue Of Somatic Mutations In Cancer. Nucleic Acids Res 2018; 47: gky1015-. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kridel R, Chan FC, Mottok A, Boyle M, Farinha P, Tan K et al. Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study. Plos Med 2016; 13: e1002197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Crouch S, Painter D, Barrans SL, Roman E, Beer PA, Cooke SL et al. Molecular subclusters of follicular lymphoma: a report from the UK’s Haematological Malignancy Research Network. Blood Adv 2022. doi: 10.1182/bloodadvances.2021005284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Green MR, Gentles AJ, Nair RV, Irish JM, Kihira S, Liu CL et al. Hierarchy in somatic mutations arising during genomic evolution and progression of follicular lymphoma. Blood 2013; 121: 1604–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Schroers-Martin JG, Soo J, Brisou G, Scherer F, Kurtz DM, Sworder BJ et al. Tracing founder mutations in circulating and tissue-resident follicular lymphoma precursors. Cancer Discov 2023. doi: 10.1158/2159-8290.cd-23-0111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hilton LK, Ngu HS, Collinge B, Dreval K, Ben-Neriah S, Rushton CK et al. Relapse timing is associated with distinct evolutionary dynamics in DLBCL. Medrxiv 2023; : 2023.03.06.23286584. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental Table 1: All high confidence mutations in the father’s and daughter’s FL tumors passing manual review irrespective of impacted gene or mutation consequence.
