ASH Clinical News December 2016 | Page 72

Literature Scan

Can Biomarkers Predict Treatment Outcomes in Hodgkin Lymphoma Where PET-Adapted Strategy Fails ?

For patients with Hodgkin lymphoma , early or interim fluorodeoxyglucose ( FDG )– PET scanning after two cycles of chemotherapy ( PET-2 ) has been shown to be an effective predictor of treatment response – and a marker of when treatment can safely be escalated or de-escalated . According to a study published in The Lancet Haematology , adding biomarker information to the PET-2 scan prognostic model could improve the predictive value of PET scanning and identify patients who may have treatment failure even with a PET-2 negative scan .
Claudio Agostinelli , MD , from the Bologna University School of Medicine in Italy , and authors found that , even though “ no other factor was better than a positive PET-2 scan in predicting treatment failure , the association of biomarkers with PET-2 increased the negative predictive value of PET-2 alone .”
The study included a training set of 208 patients with Hodgkin lymphoma treated with ABVD
( doxorubicin , bleomycin , vinblastine , and dacarbazine ) chemotherapy in whom factors predictive of treatment outcome were assessed ; the results in this cohort were then validated in a fully matched independent cohort of 102 patients with Hodgkin lymphoma ( validation set ).
For both sets , inclusion criteria were :
• the availability of a representative tissue sample collected at diagnosis
• treatment with ABVD with or without radiotherapy
• baseline staging and interim restaging after two ABVD courses with FDG – PET
• no treatment change based solely on interim PET result
• HIV-negative status
TABLE 2 . Results of Multivariate Analysis for Progression- Free and Overall Survival
N
Hazard ratio ( 95 % CI )
p Value
Progression-free survival
Ann Arbour Stage
I
4
II
70
1.0
0.01
III
31
2 · 1 ( 1 · 7 – 2 · 5 )
0.01
IV
24
3 · 6 ( 3 · 2 – 3 · 9 )
0.01
Low FOXP3 expression (< 55 / HPF )
35
High FOXP3 expression ( ≥55 / HPF )
94
0 · 3 ( 0 · 1 – 0 · 7 )
0.005
Low p53 expression (< 25 %)
113
1.0
High p53 expression ( ≥25 %)
16
2 · 6 ( 1 · 0 – 6 · 6 )
0.04
PET-2 negative
108
1.0
PET-2 positive
21
33 · 3 ( 13 · 6 – 83 · 3 )
< 0.0001
Symptoms *
129
··†
0.63
White blood cell count
129
··†
0.68
International Prognostic Score
129
··†
0.52
BCL2
129
··†
0.23
PD1
129
··†
0.27
Overall survival
PET-2 negative
108
1.0
PET-2 positive
21
31 · 3 ( 3 · 7 – 58 · 9 )
0 · 002
Symptoms B *
129
··†
0.99
White blood cell count
129
··†
0.58
BCL2
129
··†
0.23
FOXP3
129
··†
0.070
HPF = high power field
* Symptoms were presence of night sweats , unexplained fever of > 38 ° C , and weight loss of more than 10 % of ideal
weight during the past 6 months .
† Variables not entered in model .
The investigators used Cox multivariate analysis classification and regression tree to compare the predictive values of tissue biomarkers in neoplastic and microenvironmental cells with that of PET-2 , as well as to assess the biomarkers ’ ability to correctly classify patients whose outcome was incorrectly predicted by PET-2 .
The biomarkers analyzed included BCL2 and p53 expression in Hodgkin Reed Sternberg cells ( HRSCs ) and FOXP3 and PD1 expression in microenvironmental cells .
Long-term treatment outcomes were similar between the training set and the validation set . In the training set , 31 ( 15 %) of 208 patients had disease progression and 18 ( 9 %) of 208 patients relapsed . In

“The algorithm correctly predicted the response to treatment in more than half of the patients who had a relapse or disease progression despite a negative scan .”

the validation set , 19 ( 19 %) of 102 patients had disease progression and three ( 3 %) of 102 patients relapsed .
Multivariate analyses revealed that PET-2 was the only factor that maintained prognostic significance for both progression-free survival ( PFS ; hazard ratio [ HR ] = 33.3 ; 95 % CI 13.6-83.3 ) and overall survival ( OS ; HR = 31.3 ; 95 % CI 3.7-58.9 ). Disease stage , FOXP3 expression , and p53 expression had significant associations only for PFS , with a better survival with FOXP3 and a worse survival with p53 . See TABLE 2 for full results of the multivariate analysis .
In the training set , no factor was better than positive PET-2 scan for predicting treatment failure , and no factor was able to correctly reclassify patients who , despite a negative PET-2 scan , ultimately had treatment failure .
Adding biomarker information to PET scan
— CLAUDIO AGOSTINELLI , MD
results also increased the sensitivity of a prognostic model compared with using PET-2 alone ( 78 % vs . 59 %). These findings were reproduced in the validation set , the authors noted . They added that tissue biomarker assessment was feasible , cost effective , and reproducible , with most of the antibodies included in the panel routinely used in pathology labs .
“ The algorithm correctly predicted the response to treatment in more than half of the patients who had a relapse or disease progression despite a negative PET-2 scan , thus increasing the negative predictive value of PET-2 ,” Dr . Agostinelli and authors reported . “ This finding keeps with the preliminary results in interim PET response-adapted clinical trials in advanced classic Hodgkin lymphoma , pointing toward a non-negligible proportion of treatment failures in the interim PET-negative group treated with standard ABVD .”
The authors noted the study ’ s retrospective nature as a potential limitation , and wrote that the results warrant prospective validation in future studies or clinical trials , and may lead to a “ more appropriate riskadapted treatment .” Other limitations include the generalizability of results and availability and reproducibility of biomarker testing .
REFERENCE
Agostinelli C , Gallamini A , Stracqualursi L , et al . The combined role of biomarkers and interim PET scan in prediction of treatment outcome in classical Hodgkin ’ s lymphoma : a retrospective , European , multicentre cohort study . Lancet Haematol . 2016 ; 3 : e467-79 .
70 ASH Clinical News December 2016