Assessing hematopoietic chimerism after allogeneic stem cell transplantation by multiplexed SNP genotyping using microarrays and quantitative analysis of SNP alleles

Evaluation of a quantitative PCR-based method for chimerism analysis of Japanese donor/recipient pairs

Chimerism analysis is a surrogate indicator of graft rejection or relapse after allogeneic hematopoietic stem cell transplantation (HSCT). Although short tandem repeat PCR (STR-PCR) is the usual method, limited sensitivity and technical variability are matters of concern. Quantitative PCR-based methods to detect single nucleotide polymorphisms (SNP-qPCR) are more sensitive, but their informativity and quantitative accuracy are highly variable. For accurate and sensitive chimerism analysis, a set of KMR kits (GenDx, Utrecht, Netherlands), based on detection of insertions/deletions (indels) by qPCR, have been developed. Here, we investigated informativity and validated the accuracy of KMR kits in Japanese donor/recipient pairs and virtual samples of DNA mixtures representative of Japanese genetic diversity. We found that at least one recipient-specific marker among 39 KMR-kit markers was informative in all of 65 Japanese donor/recipient pairs. Moreover, the percentage of recipient chimerism estimated by KMRtrack correlated well with ratios of mixed DNA in virtual samples and with the percentage of chimerism in HSCT recipients estimated by STR-PCR/in-house SNP-qPCR. Moreover, KMRtrack showed better sensitivity with high specificity when compared to STR-PCR to detect recipient chimerism. Chimerism analysis with KMR kits can be a standardized, sensitive, and highly informative method to evaluate the graft status of HSCT recipients.

Performance characteristics of chimerism testing by next generation sequencing

Chimerism testing provides informative clinical data regarding the status of a biological sample mixture. For years, this testing was achieved by measuring the peaks of informative short tandem repeat (STR) loci using capillary electrophoresis (CE). With the advent of next generation sequencing (NGS) technology, the quantification of the percentage of donor/recipient mixtures is more easily done using sequence reads in large batches of samples run on a single flow cell. In this study, we present data on using a FORENSIC NGS chimerism platform to accurately measure the percentage of donor/recipient mixtures. We were able to detect chimerism to a limit threshold of 1% using both STR and single nucleotide polymorphism (SNP) informative loci. Importantly, a significant correlation was observed between NGS and CE chimerism methods when compared at donor detection ranges from 1% to 10%. Furthermore, 100% accuracy was achieved through proficiency testing over six surveys. Its usefulness was expanded beyond this to help identify suitable donors for solid organ transplant patients using ancestry SNP profiles. In summary, the NGS method provides a sensitive and reliable alternative to traditional CE for chimerism testing of clinical samples.

Current Trends in Applications of Circulatory Microchimerism Detection in Transplantation

Primarily due to recent advances of detection techniques, microchimerism (the proportion of minor variant population is below 1%) has recently gained increasing attention in the field of transplantation. Availability of polymorphic markers, such as deletion insertion or single nucleotide polymorphisms along with a vast array of high sensitivity detection techniques, allow the accurate detection of small quantities of donor- or recipient-related materials. This diagnostic information can improve monitoring of allograft injuries in solid organ transplantations (SOT) as well as facilitate early detection of relapse in allogeneic hematopoietic stem cell transplantation (allo-HSCT). In the present review, genetic marker and detection platform options applicable for microchimerism detection are discussed. Furthermore, current results of relevant clinical studies in the context of microchimerism and SOT or allo-HSCT respectively are also summarized.

Post-transplant monitoring of chimerism by lineage-specific analysis

Molecular surveillance of hematopoietic chimerism is an important part of the routine diagnostic program in patients after allogeneic stem cell transplantation. Chimerism testing permits early prediction and documentation of successful engraftment and facilitates early risk assessment of impending graft rejection. In patients transplanted for treatment of malignant hematologic disorders, monitoring of chimerism can provide an early indication of incipient disease relapse. The investigation of chimerism has therefore become an indispensable tool for the management of patients during the post-transplant period. Increasing use of reduced-intensity conditioning, which is associated with prolonged duration of mixed hematopoietic chimerism, has further increased the clinical importance of chimerism analysis. At present, the most commonly used technical approach to the investigation of chimerism is microsatellite analysis by polymerase chain reaction. The investigation of chimerism within specific leukocyte subsets isolated from peripheral blood or bone marrow samples by flow sorting- or magnetic bead-based techniques provides more specific information on processes underlying the dynamics of donor/recipient chimerism. Moreover, cell subset-specific analysis permits the assessment of impending complications at a significantly higher sensitivity, thus providing a basis for earlier treatment decisions.

NCI First International Workshop on the Biology, Prevention, and Treatment of Relapse after Allogeneic Hematopoietic Stem Cell Transplantation: report from the Committee on Disease-Specific Methods and Strategies for Monitoring Relapse following Allogeneic Stem Cell Transplantation. Part I: Methods, acute leukemias, and myelodysplastic syndromes

Relapse has become the major cause of treatment failure after allogeneic stem cell transplantation. Outcome of patients with clinical relapse after transplantation generally remains poor, but intervention prior to florid relapse improves outcome for certain hematologic malignancies. To detect early relapse or minimal residual disease, sensitive methods such as molecular genetics, tumor-specific molecular primers, fluorescein in situ hybridization, and multiparameter flow cytometry (MFC) are commonly used after allogeneic stem cell transplantation to monitor patients, but not all of them are included in the commonly employed disease-specific response criteria. The highest sensitivity and specificity can be achieved by molecular monitoring of tumor- or patient-specific markers measured by polymerase chain reaction-based techniques, but not all diseases have such targets for monitoring. Similar high sensitivity can be achieved by determination of donor chimerism, but its specificity regarding detection of relapse is low and differs substantially among diseases. Here, we summarize the current knowledge about the utilization of such sensitive monitoring techniques based on tumor-specific markers and donor cell chimerism and how these methods might augment the standard definitions of posttransplant remission, persistence, progression, relapse, and the prediction of relapse. Critically important is the need for standardization of the different residual disease techniques and to assess the clinical relevance of minimal residual disease and chimerism surveillance in individual diseases, which in turn, must be followed by studies to assess the potential impact of specific interventional strategies.

Recent advances in quantitative chimerism analysis

Quantitative chimerism analysis is a diagnostic tool used to monitor engraftment kinetics after allogeneic stem cell transplantation. It reflects the proportion of recipient and donor genotypes and is based on the identification of genetic markers characteristic to a given transplant pair. Currently, PCR amplification of short tandem repeats and single-nucleotide polymorphism-specific quantitative real-time PCR are the most widely used techniques for this purpose. In this review, we will address advances as well as technology-specific imperfections, of both techniques that have emerged over the recent years. We will discuss new principles that may simplify assay design, and improve its robustness and reliability. A better chimerism assay could then guide clinical interventions and may, eventually, improve the outcome of allogeneic stem cell transplantation.

Genotyping single nucleotide polymorphisms by multiplex minisequencing using tag-arrays

The need for multiplexed methods for SNP genotyping has rapidly increased during the last decade. We present here a flexible system that combines highly specific genotyping by minisequencing single-base extension with the advantages of a microarray format that allows highly multiplexed and parallel analysis of any custom selected SNPs.Cyclic minisequencing reactions with fluorescently labeled dideoxynucleotides (ddNTPs) are performed in solution using multiplex PCR product as template and detection primers, designed to anneal immediately adjacent and upstream of the SNP site. The detection primers carry unique Tag-sequences at their 5' ends and oligonucleotides complementary to the Tag-sequence, cTags, are immobilized on a microarray. After extension, the tagged detection primers are allowed to hybridize to the cTags, and the fluorescent signals from the array are measured and the genotypes are deduced by cluster analysis of the incorporated labels. The "array of arrays" format of the system, accomplished by a silicon rubber grid to form separate reaction chambers, allows either 80 or 16 samples to be analyzed for up to 200 or 600 SNPs, respectively on a single microscope slide.

Single nucleotide polymorphism-based system improves the applicability of quantitative PCR for chimerism monitoring

Recently, several studies demonstrated the feasibility of a real-time quantitative PCR (qPCR) approach for chimerism monitoring. qPCR offers a fast, sensitive, and elegant quantification of genotypes. However, before it becomes an established method for routine chimerism monitoring, a qPCR marker set for every transplant pair should be available. This requirement poses a major challenge since the genetic markers for qPCR--short insertions/deletions (Indels) and single nucleotide polymorphisms (SNPs)--published to-date do not guarantee applicability for every transplant pair. The aim of our study was to design and validate a new SNP allele-specific system to supplement an already existing Indel primer panel and improve applicability of the qPCR approach for chimerism status monitoring. Here, we present an approach for an economical in-house design of SNP allele-specific qPCR primers/probe sets with a locus-individualized reference system that allows for the accurate quantification of the respective informative locus using a simple DeltaDeltaCt method. We designed primers/probe sets specific for seven biallelic SNP loci and validated them in a population of 30 transplant pairs. Repeatability varied depending on the amount of quantifiable genotype. The combination of our SNP-qPCR system and Indel primers increased recipient genotype identification from 86.6% to 96.6% when tested in a population of our transplant pairs. These results demonstrate the feasibility of our SNP-based qPCR approach to improve the applicability of a qPCR for chimerism monitoring.

Expression of BCR-ABL1 oncogene relative to ABL1 gene changes overtime in chronic myeloid leukemia

Using a quantitative single nucleotide polymorphism (SNP) assay we have investigated the changes in the expression of the BCR-ABL1 oncogene relative to the wild-type ABL1 and BCR alleles in cells from chronic myeloid leukemia (CML) patients not responding to therapy. The results show a progressive increase in the BCR-ABL1 oncogene expression at the expense of decreased expression of the ABL1 allele, not involved in the fusion. No relative changes in the expression of the two BCR alleles were found. These results demonstrate that allele-specific changes in gene expression, with selective, progressive silencing of the wild-type ABL1 allele in favor of the oncogenic BCR-ABL1 allele occur in CML patients with therapy-resistant disease.

Mitochondrial DNA sequence heterogeneity of single CD34+ cells after nonmyeloablative allogeneic stem cell transplantation

We applied a single-cell method to detect mitochondrial DNA (mtDNA) mutations to evaluate the reconstitution of hematopoietic stem cells (HSCs) and committed progenitor cells after nonmyeloablative allogeneic stem cell transplantation in humans. In a total of 1,958 single CD34(+) cells from six human leukocyte antigen-matched sibling donor and recipient pairs, individual CD34(+) clones were recognized based on the observed donor- or recipient-specific mtDNA sequence somatic alteration. There was no overall reduction of mtDNA heterogeneity among CD34(+) cells from the recipient after transplantation. Samples collected from two donors over time showed the persistence of certain CD34(+) clones marked by specific mutations. Our results demonstrate the feasibility of distinguishing donor and recipient individual CD34(+) clones based on mtDNA mutations during engraftment. HSCs were not limited in number, and similar mtDNA heterogeneity levels suggested representation of the total stem cell compartment during rapid hematopoietic reconstitution in the recipient. Disclosure of potential conflicts of interest is found at the end of this article.

Assessing quantitative chimerism longitudinally: technical considerations, clinical applications and routine feasibility

In this review, we describe the current laboratory approach to quantitative chimerism testing based on short tandem repeats (STRs), focusing on a longitudinal analysis. The latter is based on relative changes appearing in the course of sequential samples, and as such exploits the ultimate potential of this intrinsically semiquantitative platform. Such an analysis is more informative than single static values, less likely to be confused with platform artifacts, and is individualized to the particular patient. It is particularly useful with non-myeloablative conditioning, where mixed chimerism is common. Importantly, longitudinal monitoring is a routinely feasible laboratory option because multiplex STR-polymerase chain reaction kits are available commercially, and modern software can be used to perform computation, reliability testing and longitudinal tracking in a rapid, easy to use format. The ChimerTrack application, a shareware, user friendly program developed for this purpose, produces a report that automatically summarizes and illustrates the quantitative temporal course of the patient's chimeric status. Such a longitudinal perspective enhances the value of quantitative chimerism monitoring for decisions regarding immunomodulatory post transplant therapy. This information also provides unique insights into the biological dynamics of engraftment underlying the fluctuations in the temporal course of a patient's chimeric status.

Detection of impending graft rejection and relapse by lineage-specific chimerism analysis

Molecular surveillance of hematopoietic chimerism has become part of the routine diagnostic program in patients after allogeneic stem cell transplantation. Chimerism testing permits early prediction and documentation of successful engraftment, and facilitates early detection of impending graft rejection. In patients transplanted for treatment of malignant hematological disorders, monitoring of chimerism can provide an early indication of incipient disease relapse. The investigation of chimerism has therefore become an indispensable tool for the management of patients during the posttransplant period. Growing use of nonmyeloablative conditioning, which is associated with prolonged duration of mixed hematopoietic chimerism, has further increased the clinical importance of chimerism analysis. At present, the most commonly used technical approach to the investigation of chimerism is microsatellite analysis by PCR. The investigation of chimerism within specific leukocyte subsets isolated from peripheral blood or bone marrow samples by flow-sorting or magnetic beads-based techniques provides more specific information on processes underlying the dynamics of donor/recipient chimerism. Moreover, cell subset-specific analysis permits the assessment of impending complications at a significantly higher sensitivity, thus providing a basis for earlier treatment decisions.

Quantitative analysis of chimerism after allogeneic stem cell transplantation by real-time polymerase chain reaction with single nucleotide polymorphisms, standard tandem repeats, and Y-chromosome-specific sequences

We compared the results of chimerism analyses with real-time SNP-PCR to those obtained by the classical STR-PCR method in 135 hematopoietic stem cell transplantation recipients. Using 10 different SNP gene loci, the SNP-PCR method was able to discriminate patient from donor cells in 125 of 135 cases (93%), whereas the use of 11 different STR gene loci with the STR-PCR analysis using agarose or polyacrylamide gel resolution resulted in accurate donor-host discrimination in all patients. Of the 470 analyzed samples we found in 74% concordant results for both chimerism methods. In all 26% discordant cases the SNP-chimerism method showed mixed chimerism (MC), whereas the STR-method found complete chimerism (CC). As a consequence, the SNP-PCR chimerism analysis method detected a MC prior to the occurrence of relapse significantly earlier than the STR-PCR chimerism method (120 vs. 30 days, P < 0.007). The probability of relapses was significantly higher in patients with increasing MC (70%) compared to 30% in patients with CC (P < 0.00001) associated with a significantly shorter overall survival in patients with increasing MC. The multivariate Cox model showed that chimerism analsis with SNP-PCR was the only significant risk factor predicting relapse (RR 6.08, P < 0.0001).Furthermore, we analyzed the chimerism status in male recipients with a female donor in 580 samples of 134 patients using quantitative real-time PCR of Y-chromosome-specific sequences and compared the results with interphase XY-fluorescent in situ hybridization (FISH). MC without signs of relapse was detected in 35% of samples using quantitative real-time PCR of Y-chromosome-specific sequences. The detected Y-DNA amounts were low compared to the amounts detected in 104 samples of 42 patients with leukemic relapse at the time of analysis (P < 0.0001). Quantitative real-time PCR of Y-chromosome-specific sequences detected therefore an increasing MC with high residual host DNA amounts approximately 143 days (mean) prior to the occurrence of relapse. By comparing the results of Y-chromosome PCR with the XY-FISH analysis we found concordant results in 73% in patients with myeloablative regimens. The XY-FISH could detect 12 relapses, whereas the Y-chromosome PCR detect 36 relapses by MC (P < 0.005). Residual host cells gradually decreased during the posttransplant period from a mean of 5.4 ng (first months) to 0.5 ng (above 5 years) without evidence of relapses. The probability of relapses was significantly higher in patients with increasing MC (100%) compared to 8% in patients with CC (P < 0.00001) associated with a significantly shorter overall survival in patients with increasing MC. The multivariate Cox model showed that chimerism analysis of Y-chromosome-specific sequences is an important risk factor for relapse (RR 17.0, P < 0.0001). We conclude that the use of real-time SNP or Y-PCR may be superior to the STR-PCR or interphase XY-FISH methods in detecting patients who are at high risk for relapse after transplant.

Chimerism and outcomes after allogeneic hematopoietic cell transplantation following nonmyeloablative conditioning

Allogeneic hematopoietic cell transplantation (HCT) following nonmyeloablative conditioning has been extensively evaluated in patients with hematologic malignancies who are ineligible for conventional HCT because of age or medical comorbidities. Nonmyeloablative regimens have led to an initial state of mixed hematopoietic chimerism defined as coexistence of donor- and host-derived hematopoiesis. While nonmyeloablative regimens have been associated with reduced regimen-related toxicities in comparison with conventional myeloablative conditioning, graft rejection, graft-versus-host disease (GVHD), and disease progression have remained significant challenges. In this article, after briefly introducing current techniques for chimerism assessment, we describe factors affecting donor chimerism levels after nonmyeloablative conditioning, and then review data suggesting that chimerism assessment early after HCT might help identify patients at risk for graft rejection, GVHD and relapse/progression. Finally, we discuss how these observations have opened the way to further research protocols evaluating manipulation of postgrafting immunosuppression, and/or infusion of donor immune cells.

Highly Sensitive Patient-Specific Real-Time PCR SNP Assay for Chimerism Monitoring after Allogeneic Stem Cell Transplantation

Chimerism analysis after allogeneic stem cell transplantation (allo-SCT) is an important diagnostic tool for the documentation of engraftment, early detection of graft failure, and recurrence of the disease. Current assays rely on the genetic polymorphism between the donor and the recipient, and allow semiquantitative or quantitative analysis of chimerism. The most common method in use is based on the amplification of the short tandem repeats (STR). This method, with 1% to 5 sensitivity, is useful for the documentation of engraftment, but is insufficient for the detection of minimal residual disease or early relapse, when medical intervention is urgently needed. Recently, single-nucleotide polymorphism (SNP) has been suggested as an alternative, more accurate system to monitor chimerism. The purpose of our study was to develop an easy, economical, and sensitive method for the detection of chimerism following allo-SCT using the SNP technology. Our approach is based on SNP patient-specific quantitative real-time polymerase chain reaction (PCR) using nonlabeled primers. Our results show that this allele-specific SNP real-time PCR approach is sensitive, relatively cheap, and offers a fast and reliable assay for the monitoring of hematopoietic engraftment and for the detection of minimal residual disease in patients after allo-SCT.

Different real time PCR approaches for the fine quantification of SNP's alleles in DNA pools: assays development, characterization and pre-validation

Single nucleotide polymorphisms (SNPs) are becoming the most common type of markers used in genetic analysis. In the present report a SNP has been chosen to test the applicability of Real Time PCR to discriminate and quantify SNPs alleles on DNA pools. Amplification Refractory Mutation System (ARMS) and Mismatch Amplification Mutation Assay (MAMA) has been applied. Each assay has been pre-validated testing specificity and performances (linearity, PCR efficiency, interference limit, limit of detection, limit of quantification, precision and accuracy). Both the approaches achieve a precise and accurate estimation of the allele frequencies on pooled DNA samples in the range from 5 % to 95 % and don't require standard curves or calibrators. The lowest measurement that could be significantly distinguished from the background noise has been determined around the 1 % for both the approaches, allowing to extend the range of quantifications from 1 % to 99 %. Furthermore applicability of Real Time PCR assays for general diagnostic purposes is discussed.

Analysis of haematopoietic chimaerism by quantitative real-time polymerase chain reaction

Allogeneic bone marrow transplantation (BMT) with marrow ablative conditioning is the treatment of choice for haematopoietic malignancies. The use of nonmyeloablative stem cell transplants has allowed the treatment of patients previously ineligible for BMT because of age or other disease. These reduced conditioning regimes allow the persistence initially of some recipient cells in the blood and bone marrow (haematopoietic chimaerism). Monitoring of the relative proportion of donor and recipient cells is required to assess the success of the procedure, to predict subsequent rejection or impending relapse and to guide the use of donor lymphocyte infusions. We present a quantitative real-time PCR approach for the measurement of haematopoietic chimaerism using the TaqMan. This approach exploits the presence of single-nucleotide polymorphisms (SNPs) to distinguish cells of patient or donor origin. We have designed and validated a panel of seven allele-specific probes to quantify the contribution of patient and donor cells in the haematopoietic population from 12 patient and donor pairs. We have compared the performance of this approach with an existing method and proved it to be superior in both accuracy and sensitivity. The use of more sensitive and accurate techniques permits earlier intervention for improved clinical outcome.

Evaluation and Automation of Hematopoietic Chimerism Analysis Based on Real-Time Quantitative Polymerase Chain Reaction

Abstract Chimerism analysis is an essential tool in the follow-up of patients after allogeneic stem cell transplantation. High-resolution methods for chimerism analysis based on real-time quantitative polymerase chain reaction (RQ-PCR) with a detection limit of 0.1% marker-specific cells are especially valuable in the detection of patient-derived subpopulations for the monitoring of minimal residual disease. Using artificial chimeric mixtures of genotypically different cells, we optimized and evaluated the intrasample variation, accuracy, and detection limit of chimerism analysis based on RQ-PCR of short insertion and deletion polymorphisms. Furthermore, automated setup by robot was evaluated. The results were accurate, with acceptable intrasample variation at and above 0.1% marker-specific cells. The sensitivity was mainly limited by background values. Chimerism results based on RQ-PCR were similar to results based on PCR of short tandem repeats when samples from recipients of transplants with nonmyeloablative conditioning were analyzed. Furthermore, automated setup was feasible in a time-, labor-, and reagent-conserving manner.

Kinetics of engraftment following allogeneic hematopoietic cell transplantation with reduced-intensity or nonmyeloablative conditioning

Nonmyeloablative or reduced-intensity conditioning regimens have been used to condition elderly or ill patients with hematological malignancies for allogeneic hematopoietic cell transplantation (HCT). Initial mixed donor/host chimerism (i.e. the coexistence of hematopoietic cells of host and donor origin) has been observed in most patients after such transplants. Here, we describe both factors affecting engraftment kinetics in patients given a nonmyeloablative or a reduced-intensity conditioning, and associations between peripheral blood cell subset chimerism levels and HCT outcomes.

How and when should we monitor chimerism after allogeneic stem cell transplantation?

SUMMARY

Chimerism analysis has become an important tool for the peri-transplant surveillance of engraftment. It offers the possibility to realize impending graft rejection and can serve as an indicator for the recurrence of the underlying malignant or nonmalignant disease. Most recently, these investigations have become the basis for treatment intervention, for example, to avoid graft rejection, to maintain engraftment and to treat imminent relapse by pre-emptive immunotherapy. This invited review focuses on the clinical implications of characterization of hematopoietic chimerism in stem cell transplantation.

Will the new cytogenetics replace the old cytogenetics?

With the advent of array-based comparative genomic hybridization technology, the analog cytogenetic analysis that has been used for the past 100 years could be replaced by the quantitative, microarray-based molecular analysis. Major advantages of the new array-based cytogenetic technologies are the high resolution and the high throughput. This technology is the first to offer an autonomous whole-chromosome analysis in one hybridization reaction for the detection of submicroscopic gains/losses. However, as with any new technology, it needs to be validated with regard to its performance in various applications (e.g. clinical genetic testing and cancer applications), comparative cost, and the data interpretation.