Richter SyndromeCGPSRNCT03619512
Genomic and Proteomic Study of Richter Syndrome (CGPSR)
An observational study of Richter Syndrome, run by Central Hospital, Nancy, France at 1 site in France.
Trial summary
Biological study on Richter Syndrome (RS), an agressive lymphoma that arises from Chronic Lymphocytice Leukemia (CLL). RS presents with the same histological aspect as primitive Diffuse Large B-Cell Lymphoma (DLBCL), but is associated with a poor prognosis, due to chemorefractoriness. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Richter Syndrome
- What is being tested?
- Whole exome sequencing., RNA sequencing and Mass spectrometry
- How many people
- 170 participants
- Where
- 1 siteFrance
- Study dates
- 6 Sep 2017to 5 Sep 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: * Diagnosis of Diffuse Large B-Cell Lymphoma arising in the context of a Chronic Lymphocytic Leukemia (group 1). * Diagnosis of Diffuse Large B-Cell Lymphoma de novo (group 2). * Diagnosis of Diffuse Large B-Cell Lymphoma arising in a context of small cells lymphoma, excluding CLL (group 3). * Patients who benefited from a diagnostic lymph node biopsy that did not reveal any tumor involvment (primitive or metastatic) (group 4).
Who may be able to join
- Diagnosis of a Diffuse Large B-Cell Lymphoma arising in the context of a Chronic Lymphocytic Leukemia (group 1) or diagnosis of a primitive Diffuse Large B-Cell Lymphoma (group 2), or diagnosis of a Diffuse Large B-Cell Lymphoma arising in a context of small cells lymphoma, excluding CLL (group 3), or benefit from a diagnostic lymph node biopsy that did not reveal any tumor involvment (primitive or metastatic) (group 4).
- Patients must benefit from a lymph node biopsy at diagnosis.
- Patients must be followed by a FILO (French Innovative Leukemia Organization) member
- Histology of Diffuse Large B-Cell Lymphoma or Hodgkin histology.
- Suitable clinical data available.
- Samples must meet the following requirement :RIN (RNA Integrity Number) > 5 et DIN (DNA Integrity Number) > 6.5.
Who cannot join
- Samples that do not meet the inclusion criteria (insufficient clinical data, analysis impossible due to insufficient sample quality).
Trial locations and contacts
1 site in 1 country.
France1 site, 1 recruiting
- Recruiting
CHRU de Nancy
Nancy, 54035
Véronique SAUNIER, +33 (0)3 83 15 54 58, v.saunier@chru-nancy.fr
Julien Broséus, MD, PhD
About this study
Official title: Genomic and Proteomic Study of Richter Syndrome
Biological study on Richter Syndrome (RS), an agressive lymphoma that arises from Chronic Lymphocytice Leukemia (CLL). RS presents with the same histological aspect as primitive Diffuse Large B-Cell Lymphoma (DLBCL), but is associated with a poor prognosis, due to chemorefractoriness.
This study aims at understanding the biological determinants of chemotherapy resistance in Richter Syndrome.
Read the detailed description
With the help of the French National Research Group on CLL (FILO / French Innovative Leukemia Organization), the investigators are currently gathering fresh frozen cell pellets at CLL stage, and lymph node biopsies at Richter stage. The investigators also gathered lymph node biopsies from DLBCL, as a reference group.
The investigators will perform genomic and proteomic comparative studies between CLL and Richter, as well as between Richter and primitive DLBCL, to understand the biological determinants of clonal evolution and chemorefractoriness of Richter Syndrom.
- Conditions
- Richter Syndrome
- Being tested
- Whole exome sequencing., RNA sequencing, Mass spectrometry
- Keywords
- Richter Syndrome, Genomics, Proteomics, Chemotherapy resistance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Whole exome sequencing.Genetic
Retrospective biological exploration of the samples, including tumoral DNA exploration.
RNA sequencingGenetic
Characterization of tumor transcriptomic profile.
Mass spectrometryOther
Characterization of tumor proteomic profiles.
| Study group | Role | What they receive |
|---|---|---|
| Richter Syndrom at diagnosis | patients diagnosed with Richter Syndrom, for whom a suitable lymph node biopsy at diagnosis is available. Receives: Genetic: Whole exome sequencing.; Genetic: RNA sequencing; Other: Mass spectrometry | |
| Primitive Diffuse Large B-Cell Lymphoma | patients diagnosed with a primitive Large B-Cell Lymphoma, for whom a suitable lymph node biopsy at diagnosis is available. Receives: Genetic: Whole exome sequencing.; Genetic: RNA sequencing; Other: Mass spectrometry | |
| Other secundary Diffuse Large B-Cell Lymphoma | patients diagnosed with a secundary Large B-Cell Lymphoma (different from Richter Syndrom), for whom a suitable lymph node biopsy at diagnosis is available. Receives: Genetic: Whole exome sequencing.; Genetic: RNA sequencing; Other: Mass spectrometry | |
| Control group with no tumor involvment of lymph nodes | patients for whom a diagnostic lymph node biopsy has been performed, which did not conclude to any tumoral lymph node involvment. Receives: Genetic: Whole exome sequencing.; Genetic: RNA sequencing; Other: Mass spectrometry |
What is being measured
The primary outcome is the main question the study is designed to answer.
Whole exome sequencing data using next generation sequencing method
Comparison between the DNA sequences from Richter syndrome samples and DNA sequences from primitive DLBCL samples to identify a set of mutations that are specific to Richter syndrome.
For each position, the result is "mutated" or "unmutated".
Measured: 3 years
RNA sequencing data using next generation sequencing method
Measurment of gene expression for all genes. Comparison of these expression levels between Richter samples, primitive DLBCL samples and normal lymph nodes to identifiy a set of genes which expression levels are different in Richter samples compared primitive DLBCL and normal lymph nodes.
Gene expression is a quatitative value. This set of genes forms a specific "transcriptomic signature" of Richter syndrome.
Measured: 3 years
Proteomic analysis using mass spectrometry
Mass spectrometry allows identification and measurment of the expression level of the 5,000 most expressed proteins in a sample. The investigators want to compare the protein expression levels between Richter samples, primitive DLBCL samples and normal lymph nodes to identifiy a set of proteins that are highly expressed in Richter samples (but not in primitive DLBCL or normal lymph nodes). This set of proteins forms a specific "proteomic signature" of Richter.
Protein expression is a quatitative value expressed as an absolute number of copies in a cell.
Measured: 3 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Aug 2018
- Study start6 Sep 2017
- Primary completion31 Dec 2023 (estimated)
- Study completion5 Sep 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for Richter SyndromeStudies of the same condition, open and under way.
- More trials run by Central Hospital, Nancy, FranceThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 170 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Central Hospital, Nancy, France
- Sponsor type
- University, hospital or other
- Collaborators
- French Innovative Leukemia Organization (FILO), Institut National de la Santé Et de la Recherche Médicale, France
- Responsible party
- Sponsor
- Investigators
- Julien Broseus, MD, PhD, Principal investigator, Central Hospital, Nancy, FrancePierre Feugier, MD, PhD, Study director, Central Hospital, Nancy, France
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03619512
- Sponsor's protocol ID
- 2017-A01978-45
- Other IDs
- PSS2017/CGPSR-BROSÉUS/VS
- Acronym
- CGPSR
- Status last verified
- Mar 2023
- First submitted
- 19 Jul 2018
- Last updated
- 24 Mar 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Rossi D, Spina V, Forconi F, Capello D, Fangazio M, Rasi S, Martini M, Gattei V, Ramponi A, Larocca LM, Bertoni F, Gaidano G. Molecular history of Richter syndrome: origin from a cell already present at the time of chronic lymphocytic leukemia diagnosis. Int J Cancer. 2012 Jun 15;130(12):3006-10. doi: 10.1002/ijc.26322. Epub 2011 Aug 25.
PubMed 21796624Ferreira PG, Jares P, Rico D, Gomez-Lopez G, Martinez-Trillos A, Villamor N, Ecker S, Gonzalez-Perez A, Knowles DG, Monlong J, Johnson R, Quesada V, Djebali S, Papasaikas P, Lopez-Guerra M, Colomer D, Royo C, Cazorla M, Pinyol M, Clot G, Aymerich M, Rozman M, Kulis M, Tamborero D, Gouin A, Blanc J, Gut M, Gut I, Puente XS, Pisano DG, Martin-Subero JI, Lopez-Bigas N, Lopez-Guillermo A, Valencia A, Lopez-Otin C, Campo E, Guigo R. Transcriptome characterization by RNA sequencing identifies a major molecular and clinical subdivision in chronic lymphocytic leukemia. Genome Res. 2014 Feb;24(2):212-26. doi: 10.1101/gr.152132.112. Epub 2013 Nov 21.
PubMed 24265505Rossi D, Cerri M, Capello D, Deambrogi C, Rossi FM, Zucchetto A, De Paoli L, Cresta S, Rasi S, Spina V, Franceschetti S, Lunghi M, Vendramin C, Bomben R, Ramponi A, Monga G, Conconi A, Magnani C, Gattei V, Gaidano G. Biological and clinical risk factors of chronic lymphocytic leukaemia transformation to Richter syndrome. Br J Haematol. 2008 Jun;142(2):202-15. doi: 10.1111/j.1365-2141.2008.07166.x. Epub 2008 May 19.
PubMed 18492108Parikh SA, Rabe KG, Call TG, Zent CS, Habermann TM, Ding W, Leis JF, Schwager SM, Hanson CA, Macon WR, Kay NE, Slager SL, Shanafelt TD. Diffuse large B-cell lymphoma (Richter syndrome) in patients with chronic lymphocytic leukaemia (CLL): a cohort study of newly diagnosed patients. Br J Haematol. 2013 Sep;162(6):774-82. doi: 10.1111/bjh.12458. Epub 2013 Jul 11.
PubMed 23841899Rossi D, Spina V, Deambrogi C, Rasi S, Laurenti L, Stamatopoulos K, Arcaini L, Lucioni M, Rocque GB, Xu-Monette ZY, Visco C, Chang J, Chigrinova E, Forconi F, Marasca R, Besson C, Papadaki T, Paulli M, Larocca LM, Pileri SA, Gattei V, Bertoni F, Foa R, Young KH, Gaidano G. The genetics of Richter syndrome reveals disease heterogeneity and predicts survival after transformation. Blood. 2011 Mar 24;117(12):3391-401. doi: 10.1182/blood-2010-09-302174. Epub 2011 Jan 25.
PubMed 21266718Fangazio M, De Paoli L, Rossi D, Gaidano G. Predictive markers and driving factors behind Richter syndrome development. Expert Rev Anticancer Ther. 2011 Mar;11(3):433-42. doi: 10.1586/era.10.237.
PubMed 21417856Rossi D, Rasi S, Spina V, Fangazio M, Monti S, Greco M, Ciardullo C, Fama R, Cresta S, Bruscaggin A, Laurenti L, Martini M, Musto P, Forconi F, Marasca R, Larocca LM, Foa R, Gaidano G. Different impact of NOTCH1 and SF3B1 mutations on the risk of chronic lymphocytic leukemia transformation to Richter syndrome. Br J Haematol. 2012 Aug;158(3):426-9. doi: 10.1111/j.1365-2141.2012.09155.x. Epub 2012 May 10. No abstract available.
PubMed 22571487Fabbri G, Rasi S, Rossi D, Trifonov V, Khiabanian H, Ma J, Grunn A, Fangazio M, Capello D, Monti S, Cresta S, Gargiulo E, Forconi F, Guarini A, Arcaini L, Paulli M, Laurenti L, Larocca LM, Marasca R, Gattei V, Oscier D, Bertoni F, Mullighan CG, Foa R, Pasqualucci L, Rabadan R, Dalla-Favera R, Gaidano G. Analysis of the chronic lymphocytic leukemia coding genome: role of NOTCH1 mutational activation. J Exp Med. 2011 Jul 4;208(7):1389-401. doi: 10.1084/jem.20110921. Epub 2011 Jun 13.
PubMed 21670202Chigrinova E, Rinaldi A, Kwee I, Rossi D, Rancoita PM, Strefford JC, Oscier D, Stamatopoulos K, Papadaki T, Berger F, Young KH, Murray F, Rosenquist R, Greiner TC, Chan WC, Orlandi EM, Lucioni M, Marasca R, Inghirami G, Ladetto M, Forconi F, Cogliatti S, Votavova H, Swerdlow SH, Stilgenbauer S, Piris MA, Matolcsy A, Spagnolo D, Nikitin E, Zamo A, Gattei V, Bhagat G, Ott G, Zucca E, Gaidano G, Bertoni F. Two main genetic pathways lead to the transformation of chronic lymphocytic leukemia to Richter syndrome. Blood. 2013 Oct 10;122(15):2673-82. doi: 10.1182/blood-2013-03-489518. Epub 2013 Sep 4.
PubMed 24004666Scandurra M, Rossi D, Deambrogi C, Rancoita PM, Chigrinova E, Mian M, Cerri M, Rasi S, Sozzi E, Forconi F, Ponzoni M, Moreno SM, Piris MA, Inghirami G, Zucca E, Gattei V, Rinaldi A, Kwee I, Gaidano G, Bertoni F. Genomic profiling of Richter's syndrome: recurrent lesions and differences with de novo diffuse large B-cell lymphomas. Hematol Oncol. 2010 Jun;28(2):62-7. doi: 10.1002/hon.932.
PubMed 20014148Fabbri G, Khiabanian H, Holmes AB, Wang J, Messina M, Mullighan CG, Pasqualucci L, Rabadan R, Dalla-Favera R. Genetic lesions associated with chronic lymphocytic leukemia transformation to Richter syndrome. J Exp Med. 2013 Oct 21;210(11):2273-88. doi: 10.1084/jem.20131448. Epub 2013 Oct 14.
PubMed 24127483Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J Jr, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Levy R, Wilson W, Grever MR, Byrd JC, Botstein D, Brown PO, Staudt LM. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature. 2000 Feb 3;403(6769):503-11. doi: 10.1038/35000501.
PubMed 10676951Moulin C, Guillemin F, Remen T, Bouclet F, Hergalant S, Quinquenel A, Dartigeas C, Tausch E, Lazarian G, Blanchet O, Lomazzi S, Chapiro E, Schneider C, Nguyen-Khac F, Davi F, Hunault M, Tomowiak C, Roos-Weil D, Siebert R, Thieblemont C, Cymbalista F, Laribi K, Bene MC, Stilgenbauer S, Guieze R, Feugier P, Broseus J. Clinical, biological, and molecular genetic features of Richter syndrome and prognostic significance: A study of the French Innovative Leukemia Organization. Am J Hematol. 2021 Sep 1;96(9):E311-E314. doi: 10.1002/ajh.26239. Epub 2021 Jun 2. No abstract available.
PubMed 34000073
Study at a glance
From the registry record, last updated by the sponsor on 24 Mar 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Genomic and Proteomic Study of Richter Syndrome
- ClinicalTrials.gov ID
- NCT03619512
- Acronym / sponsor ID
- CGPSR / 2017-A01978-45
- Conditions
- Richter Syndrome
- Keywords
- Richter Syndrome, Genomics, Proteomics, Chemotherapy resistance
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 170 participants (estimated)
- Lead sponsor
- Central Hospital, Nancy, FranceUniversity, hospital or other
- Collaborators
- French Innovative Leukemia Organization (FILO), Institut National de la Santé Et de la Recherche Médicale, France
- Study start
- 6 Sep 2017 (actual)
- Primary completion
- 31 Dec 2023 (estimated)
- Study completion
- 5 Sep 2024 (estimated)
- First posted
- 8 Aug 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Biological study on Richter Syndrome (RS), an agressive lymphoma that arises from Chronic Lymphocytice Leukemia (CLL). RS presents with the same histological aspect as primitive Diffuse Large B-Cell Lymphoma (DLBCL), but is associated with a poor prognosis, due to chemorefractoriness.
This study aims at understanding the biological determinants of chemotherapy resistance in Richter Syndrome.
Detailed description
With the help of the French National Research Group on CLL (FILO / French Innovative Leukemia Organization), the investigators are currently gathering fresh frozen cell pellets at CLL stage, and lymph node biopsies at Richter stage. The investigators also gathered lymph node biopsies from DLBCL, as a reference group.
The investigators will perform genomic and proteomic comparative studies between CLL and Richter, as well as between Richter and primitive DLBCL, to understand the biological determinants of clonal evolution and chemorefractoriness of Richter Syndrom.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Richter Syndrom at diagnosis | – | Genetic: Whole exome sequencing., Genetic: RNA sequencing, Other: Mass spectrometrypatients diagnosed with Richter Syndrom, for whom a suitable lymph node biopsy at diagnosis is available. |
| Primitive Diffuse Large B-Cell Lymphoma | – | Genetic: Whole exome sequencing., Genetic: RNA sequencing, Other: Mass spectrometrypatients diagnosed with a primitive Large B-Cell Lymphoma, for whom a suitable lymph node biopsy at diagnosis is available. |
| Other secundary Diffuse Large B-Cell Lymphoma | – | Genetic: Whole exome sequencing., Genetic: RNA sequencing, Other: Mass spectrometrypatients diagnosed with a secundary Large B-Cell Lymphoma (different from Richter Syndrom), for whom a suitable lymph node biopsy at diagnosis is available. |
| Control group with no tumor involvment of lymph nodes | – | Genetic: Whole exome sequencing., Genetic: RNA sequencing, Other: Mass spectrometrypatients for whom a diagnostic lymph node biopsy has been performed, which did not conclude to any tumoral lymph node involvment. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- * Diagnosis of Diffuse Large B-Cell Lymphoma arising in the context of a Chronic Lymphocytic Leukemia (group 1). * Diagnosis of Diffuse Large B-Cell Lymphoma de novo (group 2). * Diagnosis of Diffuse Large B-Cell Lymphoma arising in a context of small cells lymphoma, excluding CLL (group 3). * Patients who benefited from a diagnostic lymph node biopsy that did not reveal any tumor involvment (primitive or metastatic) (group 4).
Key inclusion criteria (6 listed)
- Diagnosis of a Diffuse Large B-Cell Lymphoma arising in the context of a Chronic Lymphocytic Leukemia (group 1) or diagnosis of a primitive Diffuse Large B-Cell Lymphoma (group 2), or diagnosis of a Diffuse Large B-Cell Lymphoma arising in a context of small cells lymphoma, excluding CLL (group 3), or benefit from a diagnostic lymph node biopsy that did not reveal any tumor involvment (primitive or metastatic) (group 4).
- Patients must benefit from a lymph node biopsy at diagnosis.
- Patients must be followed by a FILO (French Innovative Leukemia Organization) member
- Histology of Diffuse Large B-Cell Lymphoma or Hodgkin histology.
- Suitable clinical data available.
Key exclusion criteria (1 listed)
- Samples that do not meet the inclusion criteria (insufficient clinical data, analysis impossible due to insufficient sample quality).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Whole exome sequencing.Retrospective biological exploration of the samples, including tumoral DNA exploration. | Genetic | Control group with no tumor involvment of lymph nodes, Other secundary Diffuse Large B-Cell Lymphoma, Primitive Diffuse Large B-Cell Lymphoma, Richter Syndrom at diagnosis |
| RNA sequencingCharacterization of tumor transcriptomic profile. | Genetic | Control group with no tumor involvment of lymph nodes, Other secundary Diffuse Large B-Cell Lymphoma, Primitive Diffuse Large B-Cell Lymphoma, Richter Syndrom at diagnosis |
| Mass spectrometryCharacterization of tumor proteomic profiles. | Other | Control group with no tumor involvment of lymph nodes, Other secundary Diffuse Large B-Cell Lymphoma, Primitive Diffuse Large B-Cell Lymphoma, Richter Syndrom at diagnosis |
Primary outcome
Whole exome sequencing data using next generation sequencing method
Time frame: 3 years
Comparison between the DNA sequences from Richter syndrome samples and DNA sequences from primitive DLBCL samples to identify a set of mutations that are specific to Richter syndrome. For each position, the result is "mutated" or "unmutated".
RNA sequencing data using next generation sequencing method
Time frame: 3 years
Measurment of gene expression for all genes. Comparison of these expression levels between Richter samples, primitive DLBCL samples and normal lymph nodes to identifiy a set of genes which expression levels are different in Richter samples compared primitive DLBCL and normal lymph nodes. Gene expression is a quatitative value. This set of genes forms a specific "transcriptomic signature" of Richter syndrome.
Proteomic analysis using mass spectrometry
Time frame: 3 years
Mass spectrometry allows identification and measurment of the expression level of the 5,000 most expressed proteins in a sample. The investigators want to compare the protein expression levels between Richter samples, primitive DLBCL samples and normal lymph nodes to identifiy a set of proteins that are highly expressed in Richter samples (but not in primitive DLBCL or normal lymph nodes). This set of proteins forms a specific "proteomic signature" of Richter. Protein expression is a quatitative value expressed as an absolute number of copies in a cell.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Mar 2023.
- Background: PubMed 21796624Rossi D, Spina V, Forconi F, Capello D, Fangazio M, Rasi S, Martini M, Gattei V, Ramponi A, Larocca LM, Bertoni F, Gaidano G. Molecular history of Richter syndrome: origin from a cell already present at the time of chronic lymphocytic leukemia diagnosis. Int J Cancer. 2012 Jun 15;130(12):3006-10. doi: 10.1002/ijc.26322. Epub 2011 Aug 25.
- Background: PubMed 24265505Ferreira PG, Jares P, Rico D, Gomez-Lopez G, Martinez-Trillos A, Villamor N, Ecker S, Gonzalez-Perez A, Knowles DG, Monlong J, Johnson R, Quesada V, Djebali S, Papasaikas P, Lopez-Guerra M, Colomer D, Royo C, Cazorla M, Pinyol M, Clot G, Aymerich M, Rozman M, Kulis M, Tamborero D, Gouin A, Blanc J, Gut M, Gut I, Puente XS, Pisano DG, Martin-Subero JI, Lopez-Bigas N, Lopez-Guillermo A, Valencia A, Lopez-Otin C, Campo E, Guigo R. Transcriptome characterization by RNA sequencing identifies a major molecular and clinical subdivision in chronic lymphocytic leukemia. Genome Res. 2014 Feb;24(2):212-26. doi: 10.1101/gr.152132.112. Epub 2013 Nov 21.
- Results publication: PubMed 18492108Rossi D, Cerri M, Capello D, Deambrogi C, Rossi FM, Zucchetto A, De Paoli L, Cresta S, Rasi S, Spina V, Franceschetti S, Lunghi M, Vendramin C, Bomben R, Ramponi A, Monga G, Conconi A, Magnani C, Gattei V, Gaidano G. Biological and clinical risk factors of chronic lymphocytic leukaemia transformation to Richter syndrome. Br J Haematol. 2008 Jun;142(2):202-15. doi: 10.1111/j.1365-2141.2008.07166.x. Epub 2008 May 19.
- Results publication: PubMed 23841899Parikh SA, Rabe KG, Call TG, Zent CS, Habermann TM, Ding W, Leis JF, Schwager SM, Hanson CA, Macon WR, Kay NE, Slager SL, Shanafelt TD. Diffuse large B-cell lymphoma (Richter syndrome) in patients with chronic lymphocytic leukaemia (CLL): a cohort study of newly diagnosed patients. Br J Haematol. 2013 Sep;162(6):774-82. doi: 10.1111/bjh.12458. Epub 2013 Jul 11.
- Results publication: PubMed 21266718Rossi D, Spina V, Deambrogi C, Rasi S, Laurenti L, Stamatopoulos K, Arcaini L, Lucioni M, Rocque GB, Xu-Monette ZY, Visco C, Chang J, Chigrinova E, Forconi F, Marasca R, Besson C, Papadaki T, Paulli M, Larocca LM, Pileri SA, Gattei V, Bertoni F, Foa R, Young KH, Gaidano G. The genetics of Richter syndrome reveals disease heterogeneity and predicts survival after transformation. Blood. 2011 Mar 24;117(12):3391-401. doi: 10.1182/blood-2010-09-302174. Epub 2011 Jan 25.
- Results publication: PubMed 21417856Fangazio M, De Paoli L, Rossi D, Gaidano G. Predictive markers and driving factors behind Richter syndrome development. Expert Rev Anticancer Ther. 2011 Mar;11(3):433-42. doi: 10.1586/era.10.237.
- Results publication: PubMed 22571487Rossi D, Rasi S, Spina V, Fangazio M, Monti S, Greco M, Ciardullo C, Fama R, Cresta S, Bruscaggin A, Laurenti L, Martini M, Musto P, Forconi F, Marasca R, Larocca LM, Foa R, Gaidano G. Different impact of NOTCH1 and SF3B1 mutations on the risk of chronic lymphocytic leukemia transformation to Richter syndrome. Br J Haematol. 2012 Aug;158(3):426-9. doi: 10.1111/j.1365-2141.2012.09155.x. Epub 2012 May 10. No abstract available.
- Results publication: PubMed 21670202Fabbri G, Rasi S, Rossi D, Trifonov V, Khiabanian H, Ma J, Grunn A, Fangazio M, Capello D, Monti S, Cresta S, Gargiulo E, Forconi F, Guarini A, Arcaini L, Paulli M, Laurenti L, Larocca LM, Marasca R, Gattei V, Oscier D, Bertoni F, Mullighan CG, Foa R, Pasqualucci L, Rabadan R, Dalla-Favera R, Gaidano G. Analysis of the chronic lymphocytic leukemia coding genome: role of NOTCH1 mutational activation. J Exp Med. 2011 Jul 4;208(7):1389-401. doi: 10.1084/jem.20110921. Epub 2011 Jun 13.
- Results publication: PubMed 24004666Chigrinova E, Rinaldi A, Kwee I, Rossi D, Rancoita PM, Strefford JC, Oscier D, Stamatopoulos K, Papadaki T, Berger F, Young KH, Murray F, Rosenquist R, Greiner TC, Chan WC, Orlandi EM, Lucioni M, Marasca R, Inghirami G, Ladetto M, Forconi F, Cogliatti S, Votavova H, Swerdlow SH, Stilgenbauer S, Piris MA, Matolcsy A, Spagnolo D, Nikitin E, Zamo A, Gattei V, Bhagat G, Ott G, Zucca E, Gaidano G, Bertoni F. Two main genetic pathways lead to the transformation of chronic lymphocytic leukemia to Richter syndrome. Blood. 2013 Oct 10;122(15):2673-82. doi: 10.1182/blood-2013-03-489518. Epub 2013 Sep 4.
- Results publication: PubMed 20014148Scandurra M, Rossi D, Deambrogi C, Rancoita PM, Chigrinova E, Mian M, Cerri M, Rasi S, Sozzi E, Forconi F, Ponzoni M, Moreno SM, Piris MA, Inghirami G, Zucca E, Gattei V, Rinaldi A, Kwee I, Gaidano G, Bertoni F. Genomic profiling of Richter's syndrome: recurrent lesions and differences with de novo diffuse large B-cell lymphomas. Hematol Oncol. 2010 Jun;28(2):62-7. doi: 10.1002/hon.932.
- Results publication: PubMed 24127483Fabbri G, Khiabanian H, Holmes AB, Wang J, Messina M, Mullighan CG, Pasqualucci L, Rabadan R, Dalla-Favera R. Genetic lesions associated with chronic lymphocytic leukemia transformation to Richter syndrome. J Exp Med. 2013 Oct 21;210(11):2273-88. doi: 10.1084/jem.20131448. Epub 2013 Oct 14.
- Results publication: PubMed 10676951Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J Jr, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Levy R, Wilson W, Grever MR, Byrd JC, Botstein D, Brown PO, Staudt LM. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature. 2000 Feb 3;403(6769):503-11. doi: 10.1038/35000501.
- Individual participant dataSharing planned: No
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Safety and Efficacy Study of Epcoritamab in Subjects With Relapsed/Refractory Chronic Lymphocytic Leukemia and Richter's Syndrome
Relapsed/Refractory Chronic Lymphocytic Leukemia, Small Lymphocytic Lymphoma
Not yet recruitingPhase 1
huCART19-IL18-CD428z Cells for the Treatment of Patients With HIV With CD19+ Cancers
Non-Hodgkin Lymphoma, Chronic Lymphocytic Leukemia
Active, not recruitingPhase 1
Copanlisib and Nivolumab in Treating Patients With Richter's Transformation or Transformed Indolent Non-Hodgkin Lymphoma
Chronic Lymphocytic Leukemia, Diffuse Large B-Cell Lymphoma
RecruitingPhase 2
Phase 2 Study of Glofitamab Monotherapy & With Polatuzumab Vedotin, Pirtobrutinib, or Atezolizumab in Richter's Transformation
Chronic Lymphocytic Leukemia, Richter's Transformation
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Julien Broseus, MD, PhD principal investigator
Central Hospital, Nancy, France
Pierre Feugier, MD, PhD study director
Central Hospital, Nancy, France
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Richter Syndrome, run by Central Hospital, Nancy, France at 1 site in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 24 Mar 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Julien Broseus, MD, PhD (+ 33 (0)3 83 15 49 14, j.broseus@chru-nancy.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Whole exome sequencing data using next generation sequencing method (time frame: 3 years). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03619512, which also lists 13 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Mar 2023.