Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma
Aim. To develop an integrated prognostic model of diffuse large B-cell lymphoma (DLBCL) on the basis of immunohistochemical tumor subtype and parameters of International Prognostic Index (IPI). Materials & Methods. Out of 104 DLBCL patients in the data base 81 (77.9 %) met the eligibility crite...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Practical Medicine Publishing House
2019-09-01
|
| Series: | Клиническая онкогематология |
| Subjects: | |
| Online Access: |
http://bloodjournal.ru/wp-content/uploads/2019/09/3-1.pdf
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849682886800703488 |
|---|---|
| author | SV Samarina AS Luchinin NV Minaeva IV Paramonov DA D’yakonov EV Vaneeva VA Rosin VA Rosin |
| author_facet | SV Samarina AS Luchinin NV Minaeva IV Paramonov DA D’yakonov EV Vaneeva VA Rosin VA Rosin |
| author_sort | SV Samarina |
| collection | DOAJ |
| description | Aim. To develop an integrated prognostic model of diffuse large B-cell lymphoma (DLBCL) on the basis of immunohistochemical tumor subtype and parameters of International Prognostic Index (IPI).
Materials & Methods. Out of 104 DLBCL patients in the data base 81 (77.9 %) met the eligibility criteria. Median age was 58 years (range 23–83). All patients were treated with R-СНОР. The creation of overall survival (OS) prognostic model for DLBCL patients was based on machine learning with classification and regression trees. OS was analyzed using Kaplan-Meier method. Survival curves were compared by means of log rank test and hazard ratio (HR). Any test was considered significant if two-sided level of p < 0.05 was reached.
Results. Following the developed model three groups of patients were identified: the 1st group of low risk (the combination of low, intermediate-low, and intermediate-high risks according to IPI and GCB subtype); the 2nd group of intermediate risk (the combination of low, intermediate-low, and intermediate-high risks according to IPI and non-GCB subtype); the 3d group of high risk (irrespective of subtype). In the group of low risk (n = 26) 2-year OS during the monitoring period was 100 %. In the group of intermediate risk (n = 34) median OS was not reached, 2-year OS was 74 %, and expected 5-year OS was 68 %. In the group of high risk (n = 21) median OS was 25 months, 2-year OS was 46 %, and expected 5-year OS was 37 % (log rank p < 0.0001). HR calculated for the high-risk group compared with the low- and intermediate-risk groups was 5.1 (95% CI 2.1–12.1; p = 0.0003).
Conclusion. A new integrated system of DLBCL prognosis is suggested which includes IPI risk parameters and immunohistochemical subtype based on Hans algorithm. This prognostic system can be used in clinical practice for DLBCL patient stratification and risk-adapted therapy. |
| format | Article |
| id | doaj-art-c859be81385e415aa6ef60c82c2cfdb8 |
| institution | DOAJ |
| issn | 1997-6933 2500-2139 |
| language | Russian |
| publishDate | 2019-09-01 |
| publisher | Practical Medicine Publishing House |
| record_format | Article |
| series | Клиническая онкогематология |
| spelling | doaj-art-c859be81385e415aa6ef60c82c2cfdb82025-08-20T03:24:03ZrusPractical Medicine Publishing HouseКлиническая онкогематология1997-69332500-21392019-09-0112438539010.21320/2500-2139-2019-12-4-385-39019976933Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell LymphomaSV Samarina0AS Luchinin1NV Minaeva2IV Paramonov3DA D’yakonov4EV Vaneeva5VA Rosin6VA Rosin7 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya str., Kirov, Russian Federation, 610027 Russian Research Institute of Hematology and Transfusiology, 16 2-ya Sovetskaya str., Saint Petersburg, Russian Federation, 191024 Aim. To develop an integrated prognostic model of diffuse large B-cell lymphoma (DLBCL) on the basis of immunohistochemical tumor subtype and parameters of International Prognostic Index (IPI). Materials & Methods. Out of 104 DLBCL patients in the data base 81 (77.9 %) met the eligibility criteria. Median age was 58 years (range 23–83). All patients were treated with R-СНОР. The creation of overall survival (OS) prognostic model for DLBCL patients was based on machine learning with classification and regression trees. OS was analyzed using Kaplan-Meier method. Survival curves were compared by means of log rank test and hazard ratio (HR). Any test was considered significant if two-sided level of p < 0.05 was reached. Results. Following the developed model three groups of patients were identified: the 1st group of low risk (the combination of low, intermediate-low, and intermediate-high risks according to IPI and GCB subtype); the 2nd group of intermediate risk (the combination of low, intermediate-low, and intermediate-high risks according to IPI and non-GCB subtype); the 3d group of high risk (irrespective of subtype). In the group of low risk (n = 26) 2-year OS during the monitoring period was 100 %. In the group of intermediate risk (n = 34) median OS was not reached, 2-year OS was 74 %, and expected 5-year OS was 68 %. In the group of high risk (n = 21) median OS was 25 months, 2-year OS was 46 %, and expected 5-year OS was 37 % (log rank p < 0.0001). HR calculated for the high-risk group compared with the low- and intermediate-risk groups was 5.1 (95% CI 2.1–12.1; p = 0.0003). Conclusion. A new integrated system of DLBCL prognosis is suggested which includes IPI risk parameters and immunohistochemical subtype based on Hans algorithm. This prognostic system can be used in clinical practice for DLBCL patient stratification and risk-adapted therapy. http://bloodjournal.ru/wp-content/uploads/2019/09/3-1.pdf diffuse large b-cell lymphomaoverall survivalprognosisinternational prognostic indexmachine learning |
| spellingShingle | SV Samarina AS Luchinin NV Minaeva IV Paramonov DA D’yakonov EV Vaneeva VA Rosin VA Rosin Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma Клиническая онкогематология diffuse large b-cell lymphoma overall survival prognosis international prognostic index machine learning |
| title | Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma |
| title_full | Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma |
| title_fullStr | Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma |
| title_full_unstemmed | Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma |
| title_short | Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma |
| title_sort | immunohistochemical subtype and parameters of international prognostic index in the new prognostic model of diffuse large b cell lymphoma |
| topic | diffuse large b-cell lymphoma overall survival prognosis international prognostic index machine learning |
| url |
http://bloodjournal.ru/wp-content/uploads/2019/09/3-1.pdf
|
| work_keys_str_mv | AT svsamarina immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT asluchinin immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT nvminaeva immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT ivparamonov immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT dadyakonov immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT evvaneeva immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT varosin immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma AT varosin immunohistochemicalsubtypeandparametersofinternationalprognosticindexinthenewprognosticmodelofdiffuselargebcelllymphoma |