Mutation Profiling of Malignant Lymphoma by Next-Generation Sequencing of Circulating Cell-Free DNA

Imaging Flow Cytometry: Development, Present Applications, and Future Challenges

Imaging flow cytometry (ImFC) represents a significant technological advancement in the field of cytometry, effectively merging the high-throughput capabilities of flow analysis with the detailed imaging characteristics of microscopy. In our comprehensive review, we adopt a historical perspective to chart the development of ImFC, highlighting its origins and current state of the art and forecasting potential future advancements. The genesis of ImFC stemmed from merging the hydraulic system of a flow cytometer with advanced camera technology. This synergistic coupling facilitates the morphological analysis of cell populations at a high-throughput scale, effectively evolving the landscape of cytometry. Nevertheless, ImFC's implementation has encountered hurdles, particularly in developing software capable of managing its sophisticated data acquisition and analysis needs. The scale and complexity of the data generated by ImFC necessitate the creation of novel analytical tools that can effectively manage and interpret these data, thus allowing us to unlock the full potential of ImFC. Notably, artificial intelligence (AI) algorithms have begun to be applied to ImFC, offering promise for enhancing its analytical capabilities. The adaptability and learning capacity of AI may prove to be essential in knowledge mining from the high-dimensional data produced by ImFC, potentially enabling more accurate analyses. Looking forward, we project that ImFC may become an indispensable tool, not only in research laboratories, but also in clinical settings. Given the unique combination of high-throughput cytometry and detailed imaging offered by ImFC, we foresee a critical role for this technology in the next generation of scientific research and diagnostics. As such, we encourage both current and future scientists to consider the integration of ImFC as an addition to their research toolkit and clinical diagnostic routine.

The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas

Next generation sequencing (NGS) is a technology that broadens the horizon of knowledge of several somatic pathologies, especially in oncological and oncohematological pathology. In the case of NHL, the understanding of the mechanisms of tumorigenesis, tumor proliferation and the identification of genetic markers specific to different lymphoma subtypes led to more accurate classification and diagnosis. Similarly, the data obtained through NGS allowed the identification of recurrent somatic mutations that can serve as therapeutic targets that can be inhibited and thus reducing the rate of resistant cases. The article's purpose is to offer a comprehensive overview of the best ways of integrating of next-generation sequencing technologies for diagnosis, prognosis, classification, and selection of optimal therapy from the perspective of tailor-made medicine.

Circulating tumor DNA in NK/T and peripheral T cell lymphoma

Natural killer (NK)/T-cell lymphomas (NK/TCL) and peripheral T-cell lymphomas (PTCL) are aggressive hematological malignancies. With the development of next-generation sequencing, circulating tumor DNA (ctDNA) can be detected by several techniques with clinical implications. So far, the effect of ctDNA in pretreatment prognosis prediction, longitudinal monitoring of treatment response and surveillance of long-term remission or relapse in NK/TCL and PTCL has been reported in several researches.

Monitoring of Circulating Tumor DNA Predicts Response to Treatment and Early Progression in Follicular Lymphoma: Results of a Prospective Pilot Study

PURPOSE

Follicular lymphoma (FL) is the most frequent indolent non-Hodgkin lymphoma. Around 20% of patients suffer early disease progression within 24 months (POD24) of diagnosis. This study examined the significance of circulating tumor DNA (ctDNA) in predicting response to therapy and POD24 in patients with FL.

EXPERIMENTAL DESIGN

We collected 100 plasma samples, before and during the treatment, from 36 patients with FL prospectively enrolled in 8 Spanish hospitals. They were treated with a chemotherapy-rituximab regimen and followed up for a median of 3.43 years. We performed targeted deep sequencing in cell-free DNA (cfDNA) and tumor genomic DNA from 31 diagnostic biopsy samples.

RESULTS

Of the alterations detected in the diagnostic tissue samples, 73% (300/411) were also identified in basal cfDNA. The mean numbers of alterations per basal cfDNA sample in patients who suffered progression of disease within 24 months (POD24-pos) or did not achieve complete response (non-CR) were significantly higher than in POD24-neg or CR patients (unpaired samples t test, P = 0.0001 and 0.001, respectively). Pretreatment ctDNA levels, as haploid genome equivalents per milliliter of plasma, were higher in patients without CR (P = 0.02) and in POD24-pos patients compared with POD24-neg patients (P < 0.001). Dynamic analysis showed that ctDNA levels decreased dramatically after treatment, although the reduction was more significant in patients with CR and POD24-neg patients.

CONCLUSIONS

Basal ctDNA levels are associated with the risk of early progression and response to treatment in FL. cfDNA monitoring and genotyping during treatment and follow-up predict response to treatment and early progression.

The Value of Cell-Free Circulating DNA Profiling in Patients with Skin Diseases

Liquid biopsy, also known as fluid biopsy or fluid-phase biopsy, is the sampling and analysis of the blood, cerebrospinal fluid, saliva, pleural fluid, ascites, and urine. Compared with tissue biopsy, liquid biopsy technology has the advantages of being noninvasive, having strong repeatability, enabling early diagnosis, dynamic monitoring, and overcoming tumor heterogeneity. However, interest in cfDNA and skin diseases has not expanded until recently. In this review, we present an overview of the literature related to the basic biology of cfDNA in the field of dermatology as a biomarker for early diagnosis, monitoring disease activity, predicting progression, and treatment response.

Application of next-generation sequencing in diffuse large B-cell lymphoma

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of invasive non-Hodgkin lymphoma. There is great heterogeneity in its molecular biological characteristics, clinical manifestations and prognosis. The use of rituximab has greatly improved the cure rate of DLBCL, but there are still 30% of patients with poor prognosis. In the era of precision medicine, the significance of molecular biology and genetic factors on the diagnosis, treatment and prognosis of patients has been found. Among these, next-generation sequencing technology plays an important role. This paper reviews the research progress of next-generation sequencing technology in the classification, diagnosis, prognosis and molecular targeted therapy of DLBCL.

The evaluation of gene mutation profiles by next-generation sequencing in diffuse large B-cell lymphoma

OBJECTIVE

Diffuse large B cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma. Although it is a clinically and biologically heterogeneous disease, it is usually treated with R-CHOP chemotherapy. Here, we aimed to investigate gene expression frequency with next-generation sequencing (NGS) and the relation of gene mutations with remission and relapse status in patients with DLBCLs.

MATERIALS AND METHODS

We investigated gene mutation profiles by NGS in patients with DLBCL-NOS and analyzed the correlation between gene mutations and response and relapse rates and other clinical indices.

RESULTS

Twenty-eight of forty patients were evaluated. The most commonly mutated genes were ANKRD, BRCA1, BRCA2, EZH2, KMTC2, MYC, MYD88, NF1, NOTCH1, PMS2, PTEN, and WRN. The relapse rate was found higher in DLBCL patients with ANKRD26, BRCA2, MYD88, and NOTCH1 mutations. Also, remission duration was found shorter in patients with ANKRD26, BRCA2, and MYD88 mutations.

CONCLUSIONS

Our study demonstrates that the presence of some genetic mutations is effective on prognosis in patients with DLBCL. NGS-based evaluation of DLBCL treatment can be used in the future.

Mutation profiling of circulating tumor DNA identifies distinct mutation patterns in non-Hodgkin lymphoma

OBJECTIVE

Circulating tumor DNA (ctDNA) is emerging as a versatile biomarker for noninvasive genotyping and response monitoring in specific B-cell lymphomas; however, few studies have been conducted to explore ctDNA-based mutation profiling across non-Hodgkin lymphomas (NHLs) and genomic changes after initiation of chemotherapy.

METHODS

A targeted sequencing of 362 genes was performed to detect the mutation profiles in paired blood and tissue samples from 42 NHL patients. Genomic alterations were explored in 11 diffuse large B-cell lymphoma (DLBCL) patients using paired blood samples collected pre- and post-R-CHOP chemotherapy.

RESULTS

The frequencies of PIM1, MYD88, MYC, ZNF292, JAK, and MAF mutations were higher in aggressive than in indolent B-cell lymphoma and NK/T subtypes. Tumor mutation burden in blood samples was higher in aggressive than in indolent B-cell lymphomas and higher in patients who progressed than in those who responded to treatments. Our data also revealed significant enhance of concordance index through integrating mutated genes that were significantly associated with prognosis into International Prognostic Index-based prognostic model. Moreover, acquisition of mutations such as PCLO_p.L1220Tfs*3 was associated with resistance to R-CHOP in DLBCL patients.

CONCLUSIONS

Our findings illustrated distinct mutation patterns across various NHL subtypes and suggested the association of genomic alterations in ctDNA with treatment outcomes.

Circulating Tumor DNA Profiling of a Diffuse Large B Cell Lymphoma Patient with Secondary Acute Myeloid Leukemia

Diffuse large B cell lymphomas (DLBCL) are the most common neoplasia of the lymphatic system. Circulating cell-free DNA released from tumor cells (ctDNA) has been studied in many tumor entities and successfully used to monitor treatment and follow up. Studies of ctDNA in DLBCL so far have mainly focused on tracking mutations in peripheral blood initially detected by next-generation sequencing (NGS) of tumor tissue from one lymphoma manifestation site. This approach, however, cannot capture the mutational heterogeneity of different tumor sites in its entirety. In this case report, we present repetitive targeted next-generation sequencing combined with digital PCR out of peripheral blood of a patient with DLBCL relapse. By combining both detection methods, we were able to detect a new dominant clone of ctDNA correlating with the development of secondary therapy-related acute myeloid leukemia (t-AML) during the course of observation. Conclusively, our case report reinforces the diagnostic importance of ctDNA in DLBCL as well as the importance of repeated ctDNA sequencing combined with focused digital PCR assays to display the dynamic mutational landscape during the clinical course.

Integration of Baseline Metabolic Parameters and Mutational Profiles Predicts Long-Term Response to First-Line Therapy in DLBCL Patients: A Post Hoc Analysis of the SAKK38/07 Study

Accurate estimation of the progression risk after first-line therapy represents an unmet clinical need in diffuse large B-cell lymphoma (DLBCL). Baseline (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) parameters, together with genetic analysis of lymphoma cells, could refine the prediction of treatment failure. We evaluated the combined impact of mutation profiling and baseline PET/CT functional parameters on the outcome of DLBCL patients treated with the R-CHOP14 regimen in the SAKK38/07 clinical trial (NCT00544219). The concomitant presence of mutated SOCS1 with wild-type CREBBP and EP300 defined a group of patients with a favorable prognosis and 2-year progression-free survival (PFS) of 100%. Using an unsupervised recursive partitioning approach, we generated a classification-tree algorithm that predicts treatment outcomes. Patients with elevated metabolic tumor volume (MTV) and high metabolic heterogeneity (MH) (15%) had the highest risk of relapse. Patients with low MTV and favorable mutational profile (9%) had the lowest risk, while the remaining patients constituted the intermediate-risk group (76%). The resulting model stratified patients among three groups with 2-year PFS of 100%, 82%, and 42%, respectively (p < 0.001).

Tumor mutation burden determined by a 645-cancer gene panel and compared with microsatellite instability and mismatch repair genes in colorectal cancer

BACKGROUND

Tumor mutation burden (TMB) assessed by tumor-related gene panels (CRGP), microsatellite instability (MSI), and mismatch repair (MMR) has been proven to be associated with prognosis, and these factors are prognostic indicators in predicting the benefits of immune checkpoint blockade (ICB) in solid tumors. However, whether the TMB calculated by CRGPs, MSI, and MMR is associated with overall survival (OS) in patients with colorectal cancer (CRC) remains to be explored.

METHODS

The prognostic threshold of the panel-TMB was explored by a panel of 645 genes (GP645) from 41 CRC patients in Jiangsu Cancer Hospital (JCH dataset). The results were further validated using 531 CRC patients from The Cancer Genome Atlas (TCGA) database.

RESULTS

Mutations of the GP645 genes were distributed on 21 chromosomes. Spearman correlation analysis showed that the panel-TMB was positively correlated with TMB measured by whole-exome sequencing (WES) (wTMB) in the TCGA dataset (R=0.75, P<0.001). Kaplan-Meier survival analysis demonstrated that higher panel-TMB in CRC patients was significantly associated with a poor OS (P=0.0062). MSI and MMR status were determined using the GP645 by next-generation sequencing (NGS). The proportions of MSI-H and dMMR accounted for less than 10% in CRC, the vast majority of MSI-H/dMMR samples also had high TMB [positive predictive value (PPV) =66.6%], and only 13.3% of samples with high TMB were classified as MSI-high/dMMR. In addition, patients with low-TMB were associated with MSS/pMMR (96.2%), and these results are consistent with earlier studies.

CONCLUSIONS

GP645 was constructed to evaluate OS in Chinese CRC patients. Panel-TMB and MSI/MMR might be potential prognostic predictors of CRC patients using the GP645.

Liquid biopsy in extranodal NK/T-cell lymphoma: a prospective analysis of cell-free DNA genotyping and monitoring

Satisfactory tumor material is often hard to obtain for molecular analysis in extranodal natural killer (NK)/T-cell lymphoma (NKTCL) at present. However, the accuracy and utility of circulating cell-free DNA (cfDNA) genotyping have not been adequately assessed in NKTCL. We therefore performed targeted next-generation sequencing on tumor tissues and a series of longitudinal plasma samples prospectively collected from a cohort of high-risk NKTCL patients. Concordance of genotyping results of paired baseline tumor and cfDNA and the predictive value of dynamic cfDNA monitoring were evaluated. At baseline, 59 somatic variants in 31 genes were identified in tumor and/or plasma cfDNA among 19 out of 24 high-risk NKTCL patients (79.2%). Plasma cfDNA had a sensitivity of 72.4% for detection of somatic variants identified in tumor biopsies before treatment. Plasma cfDNA also allowed the identification of mutations that were undetectable in tumor biopsies. These results were also verified in a validation cohort of an additional 23 high-risk NKTCL patients. Furthermore, longitudinal analysis showed that patients with rapid clearance of NKTCL-related mutations from plasma had higher complete remission rates (80.0% vs 0%; P = .004) and more favorable survival (1-year progression-free survival [PFS] rate, 79.0% vs 20.0%; P = .002) compared with those with persisting or emerging mutations in plasma. In addition, low cfDNA concentration before treatment was associated with favorable survival outcome for patients with NKTCL (1-year PFS, 90.0% vs 36.4%; P = .012). In conclusion, cfDNA mirrors tumor biopsy for detection of genetic alterations in NKTCL and noninvasive dynamic plasma cfDNA monitoring might be a promising approach for tracking response and survival outcome for patients with NKTCL.

Leveraging the Fragment Length of Circulating Tumour DNA to Improve Molecular Profiling of Solid Tumour Malignancies with Next-Generation Sequencing: A Pathway to Advanced Non-invasive Diagnostics in Precision Oncology?

Circulating cell-free DNA (ccfDNA) has emerged as a promising diagnostic tool in oncology. Identification of tumour-derived ccfDNA (i.e. circulating tumour DNA [ctDNA]) provides non-invasive access to a malignancy’s molecular landscape to diagnose, inform therapeutic strategies, and monitor treatment efficacy. Current applications of ccfDNA to detect somatic mutations, however, have been largely constrained to tumour-informed searches and identification of common mutations because of the interaction between ctDNA signal and next-generation sequencing (NGS) noise. Specifically, the low allele frequency of ctDNA associated with non-metastatic and early-stage lesions may be indistinguishable from artifacts that accrue during sample preparation and NGS. Thus, using ccfDNA to achieve non-invasive and personalized molecular profiling to optimize individual patient care is a highly sought goal that remains limited in clinical practice. There is growing evidence, however, that further advances in the field of ccfDNA diagnostics may be achieved by improving detection of somatic mutations through leveraging the inherently shorter fragment lengths of ctDNA compared to non-neoplastic ccfDNA. Here, the origins and rationale for seeking to improve the mutation-based detection of ctDNA by using ccfDNA size profiling are reviewed. Subsequently, in vitro and in silico methods to enrich for a target ccfDNA fragment length are detailed to identify current practices and provide perspective into the potential of using ccfDNA size profiling to impact clinical applications in oncology.

Stance of MRD in Non-Hodgkin's Lymphoma and its upsurge in the novel era of cell-free DNA

Cancer genomics has evolved over the years from understanding the pathogenesis of cancer to screening the future possibilities of cancer occurrence. Understanding the genetic profile of tumors holds a prognostic as well as a predictive value in this era of therapeutic surveillance, molecular remission, and precision medicine. Identifying molecular markers in tumors is the current standard of approach, and requires an efficient combination of an accessible sample type and a profoundly sensitive technique. Liquid biopsy or cell-free DNA has evolved as a novel sample type with promising results in recent years. Although cell-free DNA has significant role in various cancer types, this review focuses on its application in Non-Hodgkin's Lymphoma. Beginning with the current concept and clinical relevance of minimal residual disease in Non-Hodgkin's lymphoma, we discuss the literature on circulating DNA and its evolving application in the realm of cutting-edge technology.

Role of Circulating Tumor DNA in Hematological Malignancy

With the recent advances in noninvasive approaches for cancer diagnosis and surveillance, the term "liquid biopsy" has become more familiar to clinicians, including hematologists. Liquid biopsy provides a variety of clinically useful genetic data. In this era of personalized medicine, genetic information is critical to early diagnosis, aiding risk stratification, directing therapeutic options, and monitoring disease relapse. The validity of circulating tumor DNA (ctDNA)-mediated liquid biopsies has received increasing attention. This review summarizes the current knowledge of liquid biopsy ctDNA in hematological malignancies, focusing on the feasibility, limitations, and key areas of clinical application. We also highlight recent advances in the minimal residual disease monitoring of leukemia using ctDNA. This article will be useful to those involved in the clinical practice of hematopoietic oncology.

Clinical Application of Liquid Biopsy in Non-Hodgkin Lymphoma

Non-Hodgkin lymphoma (NHL) is a common type of hematological malignant tumor, composed of multiple subtypes that originate from B lymphocytes, T lymphocytes, and natural killer cells. A diagnosis of NHL depends on the results of a pathology examination, which requires an invasive tissue biopsy. However, due to their invasive nature, tissue biopsies have many limitations in clinical applications, especially in terms of evaluating the therapeutic response and monitoring tumor progression. To overcome these limitations of traditional tissue biopsies, a technique known as "liquid biopsies" (LBs) was proposed. LBs refer to noninvasive examinations that can provide biological tumor data for analysis. Many studies have shown that LBs can be broadly applied to the diagnosis, treatment, prognosis, and monitoring of NHL. This article will briefly review various LB methods that aim to improve NHL management, including the evaluation of cell-free DNA/circulating tumor DNA, microRNA, and tumor-derived exosomes extracted from peripheral blood in NHL.

Tumor mutation burden estimated by a 69-gene-panel is associated with overall survival in patients with diffuse large B-cell lymphoma

BACKGROUND

Tumor mutation burden (TMB) as estimated by cancer gene panels (CGPs) has been confirmed to be associated with prognosis and is effective in predicting clinical benefit from immune checkpoint blockade (ICB) in solid tumors. However, whether the TMB calculated by CGPs is associated with overall survival (OS) for patients with diffuse large B-cell lymphoma (DLBCL) is worth exploring.

METHODS

The prognostic value of panel-TMB, calculated by a panel of 69 genes (GP69), for 87 DLBCL patients in our clinical center (GDPH dataset) was explored. The results were further validated using 37 DLBCL patients from the Cancer Genome Atlas (TCGA) database (TCGA dataset).

RESULTS

Spearman correlation analysis suggested that panel-TMB is positively correlated with the TMB calculated by whole-exome sequencing (wTMB) in the TCGA dataset (R = 0.76, P < 0.0001). Both GDPH and TCGA results demonstrated that higher panel-TMB is significantly associated with a poor OS for DLBCL patients (P < 0.05) where a panel of 13 genes was associated with poor OS, and another panel of 26 genes was correlated with a favorable OS for DLBCL patients. Further subgroup analysis indicated that higher panel-TMB had shorter OS in DLBCL patients with younger than 60 years, elevated LDH, greater than one extranodal involvement, stage III/IV, an IPI score of 3-5, or HBsAg, anti-HBc, or HBV-DNA negativity (P < 0.05). Interestingly, the nomogram model constructed by panel-TMB, stage, and IPI could individually and visually predict the 1-, 2- and 3-year OS rates of DLBCL patients.

CONCLUSIONS

We established GP69 for the evaluation of OS for Chinese DLBCL patients. panel-TMB might be a potential predictor for prognostic stratification of DLBCL patients.

High-Risk Mantle Cell Lymphoma in the Era of Novel Agents

PURPOSE OF REVIEW

Mantle cell lymphoma (MCL) is a heterogenous disease with a variety of morphologic and genetic features, some of which are associated with high risk disease. Here we critically analyze the current state of the understanding of MCL's biology and its implications in therapy, with a focus on chemotherapy-free and targeted therapy regimens.

RECENT FINDINGS

Mantle cell lymphoma (MCL) is a rare subtype of non-Hodgkin's lymphoma, defined by a hallmark chromosomal translocation t(11;14) which leads to constitutive expression of cyclin D1. Recent discoveries in the biology of MCL have identified a number of factors, including TP53 mutations and complex karyotype, that lead to unresponsiveness to traditional chemoimmunotherapy and poor outcomes. Bruton tyrosine kinase inhibitors, BH3-mimetics and other novel agents thwart survival of the neoplastic B-cells in a manner independent of high-risk mutations and have shown promising activity in relapsed/refractory MCL. These therapies are being investigated in the frontline setting, while optimal responses to chemotherapy-free regimens, particularly in high-risk disease, might require combination approaches. High-risk MCL does not respond well to chemoimmunotherapy. Targeted agents are highly active in the relapsed refractory setting and show promise in high-risk disease. Novel approaches may soon replace the current standard of care in both relapsed and frontline settings.

Clinical application of next generation sequencing in lymphoma

Successful treatment of relapsed/refractory and rare subtypes of lymphomas remains a therapeutic challenge. Though the use of tumor profiling is increasing, little is described about how providers ultimately utilize this information in clinical decision-making. We reviewed 92 adult lymphoma patients who underwent an IRB-approved tumor sequencing protocol at the University of Michigan, MI-ONCOSEQ. Of this cohort, 60 had a targeted treatment suggested by their test results, and 11 patients ultimately underwent the MI-ONCOSEQ recommended therapy. One obtained complete response based on precision treatment recommendations. The two main barriers for targeted treatment utilization included inopportune timing (the patient either was sequenced too early or too late in their disease course) and clinical trial availability. While this study demonstrates the success of sequencing lymphomas for the identification of novel therapies, it also underlines the clinical challenges, namely the optimal timing and availability of trials, inherent in the successful application of this technology.

Diffuse large B-cell lymphoma: Time to focus on circulating blood nucleic acids?

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous neoplasm with diverse genetic abnormalities and outcomes. To date, DLBCL is invasively diagnosed by tissue biopsy and few biomarkers are available to predict patient outcome, treatment response and progression. The identification of patient-specific biomarkers would allow a "personalized medicine" approach for DLBCL patients. In this regard, "liquid biopsies" hold great promise, capturing the entire genetic landscape of the tumour and allowing a rapid and dynamic management of cancer. Liquid biopsy studies particularly focus on cell-free nucleic acids, such as cell-free DNA (cfDNA) and microRNAs, which are easy to collect and analyse. In accordance with the PRISMA criteria, we performed a systematic review on circulating nucleic acids as potential biomarkers for DLBCL management. The results suggest that combining information from the genetic (cfDNA) and epigenetic (microRNAs) landscape of the disease could lead to developing an integrated network of non-invasive biomarkers for the better management of DLBCL.

Genotyping on ctDNA Identifies Shifts in Mutation Spectrum Between Newly Diagnosed and Relapse/Refractory DLBCL

Purpose

Diffuse large B cell lymphoma (DLBCL) is an aggressive B-cell malignancy with clinical and molecular heterogeneity whose genetics may have clinical implications for patient stratification and treatment. The circulating tumor DNA (ctDNA) is a novel noninvasive, real-time, and tumor-specific biomarker harboring tumor-derived genetic alterations that are identical to those of tumor cells, thus showing great promise in individualized medicine, including precise diagnosis, prediction of prognosis, response monitoring, and relapse detection for DLBCL.

Patients and Methods

In this study, we applied NGS analysis to tumor biopsies and ctDNA samples from 16 DLBCL subjects. Then, we compared the genomic alterations from 41 newly diagnosed patients and 56 relapsed/refractory (R/R) patients.

Results

Our results show that ctDNA can function as a liquid biopsy for tracking recurrently mutated genes in DLBCL (sensitivity: 87.50%). The mutational profiles of newly diagnosed and R/R DLBCL groups largely overlapped, but the frequencies of some gene mutations differ between the two cohorts. The distribution of mutations also revealed different frequencies in the two cohorts due to different signaling pathways. Genes from apoptosis pathway, immune response and BCR pathway suffered more mutations in R/R patients.

Conclusion

Overall, this study establishes ctDNA as an easily accessible source of tumor DNA for DLBCL genotyping and provides a deeper understanding of the somatic alteration spectrum for both newly diagnosed and R/R DLBCL patients.

Liquid biopsy technologies for hematological diseases

Since the discovery of circulating tumor cells in 1869, technological advances in studying circulating biomarkers from patients' blood have made the diagnosis of nonhematologic cancers less invasive. Technological advances in the detection and analysis of biomarkers provide new opportunities for the characterization of other disease types. When compared with traditional biopsies, liquid biopsy markers, such as exfoliated bladder cancer cells, circulating cell-free DNA (cfDNA), and extracellular vesicles (EV), are considered more convenient than conventional biopsies. Liquid biopsy markers undoubtedly have the potential to influence disease management and treatment dynamics. Our main focuses of this review will be the cell-based, gene-based, and protein-based key liquid biopsy markers (including EV and cfDNA) in disease detection, and discuss the research progress of these biomarkers used in conjunction with liquid biopsy. First, we highlighted the key technologies that have been broadly adopted used in hematological diseases. Second, we introduced the latest technological developments for the specific detection of cardiovascular disease, leukemia, and coronavirus disease. Finally, we concluded with perspectives on these research areas, focusing on the role of microfluidic technology and artificial intelligence in point-of-care medical applications. We believe that the noninvasive capabilities of these technologies have great potential in the development of diagnostics and can influence treatment options, thereby advancing precision disease management.

Clinicopathological Characteristics and Mutational Profiling of Adult T-Cell Lymphoblastic Lymphoma in a Chinese Population

Purpose

The purpose of this study is to perform a retrospective analysis of disease outcomes and mutational profiles in patients with adult T-cell lymphoblastic lymphoma (T-LBL).

Patients and Methods

A total of 43 patients were treated over a 9-year period at a single institution. The study examined treatment outcomes, clinical characteristics, and the use of circulating tumor DNA (ctDNA) and mutational profiling for patient diagnosis.

Results

The estimated overall survival (OS) and progression-free survival (PFS) time for all patients was 37.0 (95% CI: 17.7–56.2) and 28.1 (95% CI: 0.9–55.4) months, respectively. Chidamide maintenance was used in five patients exhibiting unfavorable genetic alterations, with no evidence of relapse. Next-generation sequencing of pretreatment tumor tissue was undertaken for 15 patients. NOTCH1 mutations were the most frequent genetic alterations, followed by mutations in PHF6, TP53, JAK1, JAK3, PTEN, and DNM2. The genetic profile of the blood was similar to that of the tumor. Kappa coefficient analysis (14 patients, 56 time points, kappa = 1.0, p = 0.00) indicated a 92.6% agreement between ctDNA response and tumor volume measurements at post treatment when compared with baseline. Detection of ctDNA predicted disease relapse in two patients.

Conclusion

The prognosis of patients with adult T-LBL remains very poor. Detection of tumor-associated sequences in ctDNA may be an effective method for diagnosing T-LBL and measuring treatment efficacy. Incorporation of new drugs such as histone deacetylase inhibitors (HDACi)has the potential to improve outcomes in these patients.

Two-point-NGS analysis of cancer genes in cell-free DNA of metastatic cancer patients

BACKGROUND

Although the efficacy of molecularly target agents in vitro, their use in routine setting is limited mainly to the use of anti-HER2 and antiEGFR agents in vivo. Moreover, core biopsy of a single cancer site may not be representative of the whole expanding clones and cancer molecular profile at relapse may differ with respect to the primary tumor.

METHODS

We assessed the status of a large panel of cancer driver genes by cell-free DNA (cfDNA) analysis in a cohort of 68 patients with 13 different solid tumors at disease progression. Whenever possible, a second cfDNA analysis was performed after a mean of 2.5 months, in order to confirm the identified clone(s) and to check the correlation with clinical evolution.

RESULTS

The approach was able to identify clones plausibly involved in the disease progression mechanism in about 65% of cases. A mean of 1.4 mutated genes (range 1-3) for each tumor was found. Point mutations in TP53, PIK3CA, and KRAS and copy number variations in FGFR3 were the gene alterations more commonly observed, with a rate of 48%, 20%, 16%, and 20%, respectively. Two-points-Next-Generation Sequencing (NGS) analysis demonstrated statistically significant correlation between allele frequency variation and clinical outcome (P = .026).

CONCLUSIONS

Irrespective of the primary tumor mutational burden, few mutated genes are present at disease progression. Clinical outcome is consistent with variation of allele frequency of specific clones indicating that cfDNA two-point-NGS analysis of cancer driver genes could be an efficacy tool for precision oncology.

Molecular Complexity of Diffuse Large B-Cell Lymphoma: Can It Be a Roadmap for Precision Medicine?

Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma; it features extreme molecular heterogeneity regardless of the classical cell-of-origin (COO) classification. Despite this, the standard therapeutic approach is still immunochemotherapy (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone-R-CHOP), which allows a 60% overall survival (OS) rate, but up to 40% of patients experience relapse or refractory (R/R) disease. With the purpose of searching for new clinical parameters and biomarkers helping to make a better DLBCL patient characterization and stratification, in the last years a series of large discovery genomic and transcriptomic studies has been conducted, generating a wealth of information that needs to be put in order. We reviewed these researches, trying ultimately to understand if there are bases offering a roadmap toward personalized and precision medicine also for DLBCL.

Remaining challenges in predicting patient outcomes for diffuse large B-cell lymphoma

Introduction: Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma and is an aggressive malignancy with heterogeneous outcomes. Diverse methods for DLBCL outcomes assessment ranging from clinical to genomic have been developed with variable predictive and prognostic success.Areas covered: The authors provide an overview of the various methods currently used to estimate prognosis in DLBCL patients. Models incorporating cell of origin, genomic features, sociodemographic factors, treatment effectiveness measures, and machine learning are described.Expert opinion: The clinical and genetic heterogeneity of DLBCL presents distinct challenges in predicting response to therapy and overall prognosis. Successful integration of predictive and prognostic tools in clinical trials and in a standard clinical workflow for DLBCL will likely require a combination of methods incorporating clinical, sociodemographic, and molecular factors with the aid of machine learning and high-dimensional data analysis.