Letter to the Editor

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Blood Res 2023; 58(4):

Published online December 31, 2023

https://doi.org/10.5045/br.2023.2023189

© The Korean Society of Hematology

TP53 mutation is a high-risk factor for Richter’s syndrome based on circulating tumor DNA

Hee Sue Park1, Bo Ra Son1, Seung Myoung Son2, Jihyun Kwon3

Departments of 1Laboratory Medicine, 2Pathology, 3Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea

Correspondence to : Jihyun Kwon
Department of Internal Medicine, Chungbuk National University College of Medicine, 776, 1 Sunhwan-ro, Seowon-gu, Cheongju 28644, Korea
E-mail: marioncrepe@chungbuk.ac.kr

Received: October 5, 2023; Revised: October 20, 2023; Accepted: October 30, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

TO THE EDITOR: Richter’s syndrome (RS) is the progression of CLL to aggressive lymphoma. It occurs in 2–10% of CLL cases and is known to involve several immune and genetic factors; however, the mechanism remains unclear [1, 2]. According to previous retrospective paired-sample studies, genetic aberrations of the TP53 and C-MYC genes, chromosomal abnormalities such as non-del (13q) or del (17p), and unmuted immunoglobulin heavy chains are high-risk factors [1, 2].

When lymphoma, such as diffuse large B-cell lymphoma (DLBCL), is first diagnosed in a patient with a history of CLL, analysis of their genetic history can aid in determining whether it is de novo DLBCL or originated from CLL [3]. This is pertinent because some subclones of existing CLL are found in RS as the disease progresses [4]. For example, TP53, NOTCH1, and BIRKC3, which are commonly present as dominant clones in CLL, are also frequently detected in RS, and new genetic variations can occur during the progression of RS [4]. Clonal evolution and genetic diversity can be determined by detecting circulating tumor DNA (ctDNA) in peripheral blood, which plays an important role in the course of RS [5]. Here, we present a case study illustrating the clinical utility of ctDNA and TP53 expression in CLL.

A 61-year-old female patient was diagnosed with CLL based on a bone marrow examination performed during a lymphocytosis work-up. Her total WBC count was 10.43× 109/L (myelocytes, 1%; band neutrophils, 1%; segmental neutrophils, 5%; lymphocytes, 91%; monocytes, 1%; eosinophils, 15%), hemoglobin level was 8.9 g/dL, and platelet count was 272×109/L. In the bone marrow, mature small lymphocyte levels were greatly increased to 87% of the total nucleotide cells (Fig. 1A), and the CD19+/CD5+/CD23+ immunophenotypic findings were compatible with those of CLL. The karyotyping was 45–46,XX,t(1;2)(q21;q21); add(6)(q13),der(17;18)(q10;q10),i(17)(q10)[cp18]/46,XX [2]. The neck, supraclavicular, mediastinal, axillary, right cardiophrenic, left gastric, porta hepatis, perigastric, portocaval, left abdominal para-aortic, aortocaval, common iliac, and external iliac lymph nodes (LNs) were hypermetabolic. This was also observed in the inguinal area, and diffuse FDG uptake was detected in the axial and appendicular bones, with an enlarged spleen. A biopsy of the left inguinal lymph node revealed CD20+/CD5+/CD10-/CD23+/BCL2+ expression on immunohistochemistry. The patient was diagnosed with chronic lymphocytic leukemia/small lymphocyte lymphoma.

Fig. 1. Clinical assessment over treatment timeline. (A) Initial bone marrow aspiration showed highly increased levels of small mature lymphocytes. Initial diagnosis: CLL (BM, Wright stain, ×1,000). (B) New tumor lesion in left arm (cutaneous DLBCL). (C) Peripheral WBC count and absolute lymphocyte counts.

She was treated with six rounds of combination chemotherapy with rituximab, fludarabine, and cyclophosphamide (R-FC). During R-FC chemotherapy, lymphocytosis gradually improved and the size of the enlarged lymph nodes decreased. Approximately 5 months after treatment initiation, a new tumor with approximately 3 cm was observed on her left arm (Fig. 1B), at which time a histological examination was performed. Immunohistochemical analysis revealed that the expression of CD20+/CD5-/CD23-/BCL2+/ BCL6+/MUM1+ cells was consistent with that of DLBCL. The blood tests showed anemia and leukopenia, but no lymphocytosis was observed (Hb 9.5 g/dL, WBC 2.77×109/L, segmental neutrophils 80.1%, lymphocyte 5.1%, platelet 277×109/L) (Fig. 1C). Serum lactic dehydrogenase (LDH) levels were within the reference range. In addition, follow-up PET/CT revealed faint hypermetabolic LNs, and the axial and appendicular bone hypermetabolism were no longer prominent.

To determine whether cutaneous DLBCL was de novo or CLL-induced, the genetic profiling of initially diagnosed CLL and DLBCL was confirmed using next generation sequencing (NGS). The detection of residual circulating tumor cells was confirmed using cell-free DNA (cfDNA) in peripheral blood at the time of DLBCL occurrence. Using the initial CLL bone marrow specimen, an NGS panel test was performed with a customized kit targeting 66 genes related to lymphoma (Celemics, Seoul, Korea) and a MiseqDx platform (Illumina, San Diego, CA, USA). For the detection of cfDNA at the time of cutaneous DLBCL onset, 20 mL of peripheral blood was collected and subjected to a 55-gene Oncomine pan-cancer panel using an Ion Torrent S5 (Thermo Fisher Scientific, Waltham, MA, USA). The NGS tests, from the extraction of DNA to the data analysis, were performed by GC Labs (Youngin, Korea). We performed targeted NGS of the DLBCL tissue at our institute. DNA and RNA were extracted and libraries were prepared using an Oncomine Comprehensive Assay Plus (Thermo Fisher Scientific), and the products were sequenced using an Ion Torrent Ion S5 System (Thermo Fisher Scientific).

Table 1 shows the results of the study. The TP53 c.566C>T, p.Ala189Val pathogenic tier 1 variant was detected in all three samples, suggesting that it may be an ancestral CLL clone. Another TP53 c.488A>G, p.Tyr163Cys pathogenic tier 1 variant, which was only present in CLL, was the dominant CLL clone but seemed to have disappeared in the ctDNA and cutaneous DLBCL tissue. We assumed that the clones with the TP53 c.488A>G mutation were eliminated during R-FC chemotherapy. However, in the case of the MYD88 c.755T>C, p.Leu252Pro, and EP300 c.4399T>A, p.Tyr1467Asn variants, we confirmed that they were newly generated over the course of RS progression. Therefore, although this patient showed an improved state after chemotherapy based on imaging and complete blood count results, we confirmed that an ancestral CLL clone remained in the peripheral blood. Additionally, newly acquired pathogenic mutations in MYD88 and EP300 may play a role in DLBCL progression. Tier 3 variants of ETV6, NOTCH1, POT1, and TET2 detected at approximately 50% of the variant allele frequency in CLL and cutaneous DLBCL were germline variants.

Table 1 Genetic variants detected in initial CLL and cutaneous DLBCL.

GeneChr.gDNADNAProteinCOSMICTierReference sequenceInitial CLLCutaneous DLBCL
ctDNATissue (skin Bx)
DetectionVAFDetectionVAFDetectionVAF
TP5317g.7578283G>Ac.566C>Tp.Ala189ValCOSM443491NM_000546Y(78.4)Y51.1Y(71.0)
TP5317g.7578442T>Cc.488A>Gp.Tyr163CysCOSM108081NM_000546Y(59.0)NN
ETV612g.12022788T>Gc.894T>Gp.His298Gln.3NM_001987Y(50.2)NTY(50.0)
NOTCH19g.139391634C>Ac.6557G>Tp.Gly2186ValCOSM958122773NM_017617Y(43.1)NTY(49.0)
POT17g.124467296C>Ac.1658G>Tp.Gly553Val.3NM_015450Y(41.2)NTY(48.0)
TET24g.106197185G>Tc.5518G>Tp.Ala1840Ser.3NM_001127208Y(48.5)NTY(52.0)
MYD883g.38182641T>Cc.755T>Cp.Leu252Pro.2NM_002468.5NNTY(37.3)
EP30022g.41566522T>Ac.4399T>Ap.Tyr1467AsnCOSM2205212NM_001429NNTY(30.4)

Abbreviations: Bx, biopsy; Chr, chromosome; ctDNA, circulating tumor DNA; NT, not tested; VAF, variant allele frequency.



Notably, no lymphoma lesions, other than an arm mass, were observed. The patient was switched to combination chemotherapy with rituximab, cyclophosphamide, adriamicin, vincristine, or prednisolone (R-CHOP). The patient achieved complete remission after six cycles of R-CHOP treatment.

DLBCL-type RS is generally aggressive, has a poor prognosis, and is an indication for chemotherapy for aggressive B-cell lymphoma [6]. In addition, clonally related RS to paired CLL showed shorter survival times than clonally unrelated RS [7]. Thus, it is important to monitor the disease using prognostic biomarkers, including serum LDH levels, immunophenotypic markers, cytogenetic alterations, and PET/CT imaging [8]. In our case, the residual fatal TP53 variant, which can lead to disease progression, was only detected in the peripheral blood. With the detection of such an important genetic mutation, the use of ctDNA as a patient-specific tumor biomarker is expected to be useful for risk stratification and therapeutic targeting [5].

The clonal evolution pattern from CLL to RS shows a different genetic alteration spectrum on a case-by-case basis [5, 9]. In some cases, the dominant CLL clone is maintained in the RS, and, as in our case, the ancestral baseline clone is common to both CLL and RS. Although not all cases show the same genetic alteration pattern, ctDNA analysis seems to be useful for identifying clonally related RS. In particular, the TP53 pathogenic variant predominates in RS, and TP53 inactivation is considered a critical event in RS pathogenesis along with MYC pathway activation [10]. Our case also showed similar results to those of previous reports; therefore, molecular monitoring using ctDNA is considered necessary if a TP53 pathogenic variant is detected at the initial diagnosis. In conclusion, this case demonstrated the clinical usefulness of ctDNA and confirmed the association between poor prognosis and expression of the TP53 pathogenic variant in hematologic malignancies.

This study was supported by a research grant from the Chungbuk National University in 2022 (2022101233-1).

Authors’ Disclosures of Potential Conflicts of Interest

No potential conflicts of interest relevant to this article were reported.

  1. Ben-Dali Y, Hleuhel MH, da Cunha-Bang C, et al. Richter's transformation in patients with chronic lymphocytic leukemia: a nationwide epidemiological study. Leuk lymphoma 2020;61:1435-44.
    Pubmed CrossRef
  2. Jain P, O'Brien S. Richter's transformation in chronic lymphocytic leukemia. Oncology 2012;26:1146.
  3. Parry EM, Leshchiner I, Guièze R, et al. Evolutionary history of transformation from chronic lymphocytic leukemia to Richter syndrome. Nat Med 2023;29:158-69.
    Pubmed KoreaMed CrossRef
  4. Nadeu F, Royo R, Massoni-Badosa R, et al. Detection of early seeding of Richter transformation in chronic lymphocytic leukemia. Nat Med 2022;28:1662-71.
    Pubmed KoreaMed CrossRef
  5. Scherer F, Kurtz DM, Newman AM, et al. Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA. Sci Transl Med 2016;8:364ra155.
    Pubmed KoreaMed CrossRef
  6. Rossi D, Spina V, Gaidano G. Biology and treatment of Richter syndrome. Blood 2018;131:2761-72.
    Pubmed CrossRef
  7. Rossi D, Spina V, Deambrogi C, et al. The genetics of Richter syndrome reveals disease heterogeneity and predicts survival after transformation. Blood 2011;117:3391-401.
    Pubmed CrossRef
  8. Yun X, Zhang Y, Wang X. Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia. Biomark Res 2020;8:1-11.
    Pubmed KoreaMed CrossRef
  9. Yeh P, Hunter T, Sinha D, et al. Circulating tumor DNA reflects treatment response and clonal evolution in chronic lymphocytic leukemia. Nat Commun 2017;8:14756.
    Pubmed KoreaMed CrossRef
  10. Chigrinova E, Rinaldi A, Kwee I, et al. Two main genetic pathways lead to the transformation of chronic lymphocytic leukemia to Richter syndrome. Blood 2013;122:2673-82.
    Pubmed CrossRef

Article

Letter to the Editor

Blood Res 2023; 58(4): 228-231

Published online December 31, 2023 https://doi.org/10.5045/br.2023.2023189

Copyright © The Korean Society of Hematology.

TP53 mutation is a high-risk factor for Richter’s syndrome based on circulating tumor DNA

Hee Sue Park1, Bo Ra Son1, Seung Myoung Son2, Jihyun Kwon3

Departments of 1Laboratory Medicine, 2Pathology, 3Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea

Correspondence to:Jihyun Kwon
Department of Internal Medicine, Chungbuk National University College of Medicine, 776, 1 Sunhwan-ro, Seowon-gu, Cheongju 28644, Korea
E-mail: marioncrepe@chungbuk.ac.kr

Received: October 5, 2023; Revised: October 20, 2023; Accepted: October 30, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Body

TO THE EDITOR: Richter’s syndrome (RS) is the progression of CLL to aggressive lymphoma. It occurs in 2–10% of CLL cases and is known to involve several immune and genetic factors; however, the mechanism remains unclear [1, 2]. According to previous retrospective paired-sample studies, genetic aberrations of the TP53 and C-MYC genes, chromosomal abnormalities such as non-del (13q) or del (17p), and unmuted immunoglobulin heavy chains are high-risk factors [1, 2].

When lymphoma, such as diffuse large B-cell lymphoma (DLBCL), is first diagnosed in a patient with a history of CLL, analysis of their genetic history can aid in determining whether it is de novo DLBCL or originated from CLL [3]. This is pertinent because some subclones of existing CLL are found in RS as the disease progresses [4]. For example, TP53, NOTCH1, and BIRKC3, which are commonly present as dominant clones in CLL, are also frequently detected in RS, and new genetic variations can occur during the progression of RS [4]. Clonal evolution and genetic diversity can be determined by detecting circulating tumor DNA (ctDNA) in peripheral blood, which plays an important role in the course of RS [5]. Here, we present a case study illustrating the clinical utility of ctDNA and TP53 expression in CLL.

A 61-year-old female patient was diagnosed with CLL based on a bone marrow examination performed during a lymphocytosis work-up. Her total WBC count was 10.43× 109/L (myelocytes, 1%; band neutrophils, 1%; segmental neutrophils, 5%; lymphocytes, 91%; monocytes, 1%; eosinophils, 15%), hemoglobin level was 8.9 g/dL, and platelet count was 272×109/L. In the bone marrow, mature small lymphocyte levels were greatly increased to 87% of the total nucleotide cells (Fig. 1A), and the CD19+/CD5+/CD23+ immunophenotypic findings were compatible with those of CLL. The karyotyping was 45–46,XX,t(1;2)(q21;q21); add(6)(q13),der(17;18)(q10;q10),i(17)(q10)[cp18]/46,XX [2]. The neck, supraclavicular, mediastinal, axillary, right cardiophrenic, left gastric, porta hepatis, perigastric, portocaval, left abdominal para-aortic, aortocaval, common iliac, and external iliac lymph nodes (LNs) were hypermetabolic. This was also observed in the inguinal area, and diffuse FDG uptake was detected in the axial and appendicular bones, with an enlarged spleen. A biopsy of the left inguinal lymph node revealed CD20+/CD5+/CD10-/CD23+/BCL2+ expression on immunohistochemistry. The patient was diagnosed with chronic lymphocytic leukemia/small lymphocyte lymphoma.

Figure 1. Clinical assessment over treatment timeline. (A) Initial bone marrow aspiration showed highly increased levels of small mature lymphocytes. Initial diagnosis: CLL (BM, Wright stain, ×1,000). (B) New tumor lesion in left arm (cutaneous DLBCL). (C) Peripheral WBC count and absolute lymphocyte counts.

She was treated with six rounds of combination chemotherapy with rituximab, fludarabine, and cyclophosphamide (R-FC). During R-FC chemotherapy, lymphocytosis gradually improved and the size of the enlarged lymph nodes decreased. Approximately 5 months after treatment initiation, a new tumor with approximately 3 cm was observed on her left arm (Fig. 1B), at which time a histological examination was performed. Immunohistochemical analysis revealed that the expression of CD20+/CD5-/CD23-/BCL2+/ BCL6+/MUM1+ cells was consistent with that of DLBCL. The blood tests showed anemia and leukopenia, but no lymphocytosis was observed (Hb 9.5 g/dL, WBC 2.77×109/L, segmental neutrophils 80.1%, lymphocyte 5.1%, platelet 277×109/L) (Fig. 1C). Serum lactic dehydrogenase (LDH) levels were within the reference range. In addition, follow-up PET/CT revealed faint hypermetabolic LNs, and the axial and appendicular bone hypermetabolism were no longer prominent.

To determine whether cutaneous DLBCL was de novo or CLL-induced, the genetic profiling of initially diagnosed CLL and DLBCL was confirmed using next generation sequencing (NGS). The detection of residual circulating tumor cells was confirmed using cell-free DNA (cfDNA) in peripheral blood at the time of DLBCL occurrence. Using the initial CLL bone marrow specimen, an NGS panel test was performed with a customized kit targeting 66 genes related to lymphoma (Celemics, Seoul, Korea) and a MiseqDx platform (Illumina, San Diego, CA, USA). For the detection of cfDNA at the time of cutaneous DLBCL onset, 20 mL of peripheral blood was collected and subjected to a 55-gene Oncomine pan-cancer panel using an Ion Torrent S5 (Thermo Fisher Scientific, Waltham, MA, USA). The NGS tests, from the extraction of DNA to the data analysis, were performed by GC Labs (Youngin, Korea). We performed targeted NGS of the DLBCL tissue at our institute. DNA and RNA were extracted and libraries were prepared using an Oncomine Comprehensive Assay Plus (Thermo Fisher Scientific), and the products were sequenced using an Ion Torrent Ion S5 System (Thermo Fisher Scientific).

Table 1 shows the results of the study. The TP53 c.566C>T, p.Ala189Val pathogenic tier 1 variant was detected in all three samples, suggesting that it may be an ancestral CLL clone. Another TP53 c.488A>G, p.Tyr163Cys pathogenic tier 1 variant, which was only present in CLL, was the dominant CLL clone but seemed to have disappeared in the ctDNA and cutaneous DLBCL tissue. We assumed that the clones with the TP53 c.488A>G mutation were eliminated during R-FC chemotherapy. However, in the case of the MYD88 c.755T>C, p.Leu252Pro, and EP300 c.4399T>A, p.Tyr1467Asn variants, we confirmed that they were newly generated over the course of RS progression. Therefore, although this patient showed an improved state after chemotherapy based on imaging and complete blood count results, we confirmed that an ancestral CLL clone remained in the peripheral blood. Additionally, newly acquired pathogenic mutations in MYD88 and EP300 may play a role in DLBCL progression. Tier 3 variants of ETV6, NOTCH1, POT1, and TET2 detected at approximately 50% of the variant allele frequency in CLL and cutaneous DLBCL were germline variants.

Table 1 . Genetic variants detected in initial CLL and cutaneous DLBCL..

GeneChr.gDNADNAProteinCOSMICTierReference sequenceInitial CLLCutaneous DLBCL
ctDNATissue (skin Bx)
DetectionVAFDetectionVAFDetectionVAF
TP5317g.7578283G>Ac.566C>Tp.Ala189ValCOSM443491NM_000546Y(78.4)Y51.1Y(71.0)
TP5317g.7578442T>Cc.488A>Gp.Tyr163CysCOSM108081NM_000546Y(59.0)NN
ETV612g.12022788T>Gc.894T>Gp.His298Gln.3NM_001987Y(50.2)NTY(50.0)
NOTCH19g.139391634C>Ac.6557G>Tp.Gly2186ValCOSM958122773NM_017617Y(43.1)NTY(49.0)
POT17g.124467296C>Ac.1658G>Tp.Gly553Val.3NM_015450Y(41.2)NTY(48.0)
TET24g.106197185G>Tc.5518G>Tp.Ala1840Ser.3NM_001127208Y(48.5)NTY(52.0)
MYD883g.38182641T>Cc.755T>Cp.Leu252Pro.2NM_002468.5NNTY(37.3)
EP30022g.41566522T>Ac.4399T>Ap.Tyr1467AsnCOSM2205212NM_001429NNTY(30.4)

Abbreviations: Bx, biopsy; Chr, chromosome; ctDNA, circulating tumor DNA; NT, not tested; VAF, variant allele frequency..



Notably, no lymphoma lesions, other than an arm mass, were observed. The patient was switched to combination chemotherapy with rituximab, cyclophosphamide, adriamicin, vincristine, or prednisolone (R-CHOP). The patient achieved complete remission after six cycles of R-CHOP treatment.

DLBCL-type RS is generally aggressive, has a poor prognosis, and is an indication for chemotherapy for aggressive B-cell lymphoma [6]. In addition, clonally related RS to paired CLL showed shorter survival times than clonally unrelated RS [7]. Thus, it is important to monitor the disease using prognostic biomarkers, including serum LDH levels, immunophenotypic markers, cytogenetic alterations, and PET/CT imaging [8]. In our case, the residual fatal TP53 variant, which can lead to disease progression, was only detected in the peripheral blood. With the detection of such an important genetic mutation, the use of ctDNA as a patient-specific tumor biomarker is expected to be useful for risk stratification and therapeutic targeting [5].

The clonal evolution pattern from CLL to RS shows a different genetic alteration spectrum on a case-by-case basis [5, 9]. In some cases, the dominant CLL clone is maintained in the RS, and, as in our case, the ancestral baseline clone is common to both CLL and RS. Although not all cases show the same genetic alteration pattern, ctDNA analysis seems to be useful for identifying clonally related RS. In particular, the TP53 pathogenic variant predominates in RS, and TP53 inactivation is considered a critical event in RS pathogenesis along with MYC pathway activation [10]. Our case also showed similar results to those of previous reports; therefore, molecular monitoring using ctDNA is considered necessary if a TP53 pathogenic variant is detected at the initial diagnosis. In conclusion, this case demonstrated the clinical usefulness of ctDNA and confirmed the association between poor prognosis and expression of the TP53 pathogenic variant in hematologic malignancies.

Acknowledgments

This study was supported by a research grant from the Chungbuk National University in 2022 (2022101233-1).

Authors’ Disclosures of Potential Conflicts of Interest

No potential conflicts of interest relevant to this article were reported.

Fig 1.

Figure 1.Clinical assessment over treatment timeline. (A) Initial bone marrow aspiration showed highly increased levels of small mature lymphocytes. Initial diagnosis: CLL (BM, Wright stain, ×1,000). (B) New tumor lesion in left arm (cutaneous DLBCL). (C) Peripheral WBC count and absolute lymphocyte counts.
Blood Research 2023; 58: 228-231https://doi.org/10.5045/br.2023.2023189

Table 1 . Genetic variants detected in initial CLL and cutaneous DLBCL..

GeneChr.gDNADNAProteinCOSMICTierReference sequenceInitial CLLCutaneous DLBCL
ctDNATissue (skin Bx)
DetectionVAFDetectionVAFDetectionVAF
TP5317g.7578283G>Ac.566C>Tp.Ala189ValCOSM443491NM_000546Y(78.4)Y51.1Y(71.0)
TP5317g.7578442T>Cc.488A>Gp.Tyr163CysCOSM108081NM_000546Y(59.0)NN
ETV612g.12022788T>Gc.894T>Gp.His298Gln.3NM_001987Y(50.2)NTY(50.0)
NOTCH19g.139391634C>Ac.6557G>Tp.Gly2186ValCOSM958122773NM_017617Y(43.1)NTY(49.0)
POT17g.124467296C>Ac.1658G>Tp.Gly553Val.3NM_015450Y(41.2)NTY(48.0)
TET24g.106197185G>Tc.5518G>Tp.Ala1840Ser.3NM_001127208Y(48.5)NTY(52.0)
MYD883g.38182641T>Cc.755T>Cp.Leu252Pro.2NM_002468.5NNTY(37.3)
EP30022g.41566522T>Ac.4399T>Ap.Tyr1467AsnCOSM2205212NM_001429NNTY(30.4)

Abbreviations: Bx, biopsy; Chr, chromosome; ctDNA, circulating tumor DNA; NT, not tested; VAF, variant allele frequency..


References

  1. Ben-Dali Y, Hleuhel MH, da Cunha-Bang C, et al. Richter's transformation in patients with chronic lymphocytic leukemia: a nationwide epidemiological study. Leuk lymphoma 2020;61:1435-44.
    Pubmed CrossRef
  2. Jain P, O'Brien S. Richter's transformation in chronic lymphocytic leukemia. Oncology 2012;26:1146.
  3. Parry EM, Leshchiner I, Guièze R, et al. Evolutionary history of transformation from chronic lymphocytic leukemia to Richter syndrome. Nat Med 2023;29:158-69.
    Pubmed KoreaMed CrossRef
  4. Nadeu F, Royo R, Massoni-Badosa R, et al. Detection of early seeding of Richter transformation in chronic lymphocytic leukemia. Nat Med 2022;28:1662-71.
    Pubmed KoreaMed CrossRef
  5. Scherer F, Kurtz DM, Newman AM, et al. Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA. Sci Transl Med 2016;8:364ra155.
    Pubmed KoreaMed CrossRef
  6. Rossi D, Spina V, Gaidano G. Biology and treatment of Richter syndrome. Blood 2018;131:2761-72.
    Pubmed CrossRef
  7. Rossi D, Spina V, Deambrogi C, et al. The genetics of Richter syndrome reveals disease heterogeneity and predicts survival after transformation. Blood 2011;117:3391-401.
    Pubmed CrossRef
  8. Yun X, Zhang Y, Wang X. Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia. Biomark Res 2020;8:1-11.
    Pubmed KoreaMed CrossRef
  9. Yeh P, Hunter T, Sinha D, et al. Circulating tumor DNA reflects treatment response and clonal evolution in chronic lymphocytic leukemia. Nat Commun 2017;8:14756.
    Pubmed KoreaMed CrossRef
  10. Chigrinova E, Rinaldi A, Kwee I, et al. Two main genetic pathways lead to the transformation of chronic lymphocytic leukemia to Richter syndrome. Blood 2013;122:2673-82.
    Pubmed CrossRef
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