Genomic and Proteomic Study of Richter Syndrome (CGPSR)

Richter Syndrome Clinical Trial

— CGPSR  

Official title:

Genomic and Proteomic Study of Richter Syndrome

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT03619512
• Other study ID #: 2017-A01978-45
• Secondary ID: PSS2017/CGPSR-BR
• Status: Recruiting
• Start date: September 6, 2017
• Est. completion date: September 5, 2024

Study information

• Verified date: March 2023
• Source: Central Hospital, Nancy, France
• Contact: Julien Broseus, MD, PhD
• Phone: + 33 (0)3 83 15 49 14
• Email: j.broseus[@]chru-nancy.fr
• Is FDA regulated: No
• Study type: Observational

Clinical 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.

This study aims at understanding the biological determinants of chemotherapy resistance in Richter Syndrome.

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 170
• Est. completion date: September 5, 2024
• Est. primary completion date: December 31, 2023
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• 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.

Exclusion Criteria:

• Samples that do not meet the inclusion criteria (insufficient clinical data, analysis impossible due to insufficient sample quality).

Related Conditions & MeSH terms

• Richter Syndrome
• Syndrome

Intervention

Genetic:
• Whole exome sequencing.
Retrospective biological exploration of the samples, including tumoral DNA exploration.
• RNA sequencing
Characterization of tumor transcriptomic profile.

Other:
• Mass spectrometry
Characterization of tumor proteomic profiles.

Locations

Country	Name	City	State
France	CHRU de Nancy	Nancy

Sponsors (3)

Lead Sponsor	Collaborator
Central Hospital, Nancy, France	French Innovative Leukemia Organization (FILO), Institut National de la Santé Et de la Recherche Médicale, France

Country where clinical trial is conducted

France, 

References & Publications (12)

Alizadeh 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, Le — View Citation

Chigrinova 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, — View Citation

Fabbri 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. — View Citation

Fabbri 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, Pas — View Citation

Fangazio 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. — View Citation

Ferreira 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. — View Citation

Parikh 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 o — View Citation

Rossi 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 o — View Citation

Rossi 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 — View Citation

Rossi 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, Yo — View Citation

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. — View Citation

Scandurra 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: re — View Citation

* Note: There are 12 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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".	3 years
Primary	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.	3 years
Primary	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.	3 years