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Primary central nervous system lymphoma (PCNSL) is an aggressive lymphoma subtype characterized by brain, spinal cord, meninges, or eye involvement without systemic features. Approximately 50% of all patients with PCNSL are aged >60 years, yet the optimal treatment for elderly patients with PCNSL has not yet been established, translating to median survival rates of around 6–7 months. Herein lies an unmet need to evaluate the long-term survival outcomes of elderly patients diagnosed with PCNSL. Thus, Samhouri, et al., published an analysis in Anticancer Research evaluating patient outcomes to different modalities for the treatment of elderly patients with PCNSL, and aimed to characterize predictors affecting treatment decisions.1 The study compared outcomes to chemotherapy, radiation, and a combination of both (combined modality treatment [CMT]) as first-line therapy, while examining socioeconomic disparities in lymphoma care.
Figure 1. Consort diagram of patients of interest*
CMT, combined modality treatment; PCNSL, peripheral central nervous system lymphoma.
*Adapted from Samhouri, et al.1
Table 1. Adjusted baseline characteristics of patients selected for analysis*
Characteristic, % |
Chemotherapy |
Radiation |
CMT |
No |
p |
---|---|---|---|---|---|
Mean age, years |
73.9 |
74.5 |
73.8 |
74.3 |
0.08 |
Female |
52 |
54 |
52 |
53 |
0.93 |
Race |
|
|
|
|
0.89 |
Non-Hispanic |
88 |
88 |
89 |
89 |
|
Black |
3 |
3 |
2 |
2 |
|
Hispanic |
4 |
5 |
3 |
4 |
|
Other |
5 |
5 |
5 |
5 |
|
Facility type |
|
|
|
|
0.88 |
Community |
3 |
3 |
3 |
3 |
|
Comprehensive |
35 |
37 |
35 |
35 |
|
Median income |
|
|
|
|
1.00 |
Less than |
15 |
14 |
14 |
15 |
|
$38,000– |
22 |
22 |
23 |
22 |
|
$48,000– |
28 |
28 |
28 |
28 |
|
More than |
35 |
36 |
35 |
35 |
|
Percentage of at least |
|
|
|
|
1.00 |
≥29% |
14 |
14 |
13 |
14 |
|
20%–28.9% |
24 |
24 |
25 |
25 |
|
14%–19.9% |
35 |
35 |
36 |
35 |
|
<14% |
27 |
26 |
27 |
27 |
|
Insurance |
|
|
|
|
0.95 |
Not insured |
1 |
1 |
1 |
1 |
|
Private insurance |
12 |
12 |
13 |
12 |
|
Medicaid |
1 |
1 |
1 |
1 |
|
Medicare |
85 |
86 |
86 |
85 |
|
Others |
1 |
1 |
0 |
1 |
|
Type of area |
|
|
|
|
0.37 |
Metropolitan |
83 |
85 |
84 |
83 |
|
Urban |
15 |
15 |
14 |
15 |
|
Rural |
2 |
1 |
1 |
2 |
|
Comorbidity Score |
|
|
|
|
0.92 |
0 |
60 |
60 |
62 |
59 |
|
1 |
25 |
24 |
25 |
25 |
|
2 |
10 |
11 |
10 |
11 |
|
≥3 |
5 |
5 |
4 |
5 |
|
Mean distance, miles |
39.8 |
80.0 |
30.88 |
35.07 |
<0.01 |
*Data from Samhouri, et al.1 |
Table 2. Survival rates by treatment category*
|
All patients |
Chemotherapy alone |
CMT |
Radiation alone |
No treatment |
---|---|---|---|---|---|
Median OS, months |
7.0 |
13.37 |
19.5 |
5.0 |
2.0 |
Age-adjusted median OS†, months |
5.2 |
7.0 |
14.0 |
4.1 |
1.7 |
Predicted 12-month OS, % |
|
40.6 |
53.2 |
25.2 |
14.3 |
Predicted 24-month OS, % |
|
31.3 |
38.5 |
14.3 |
10.1 |
*Data from Samhouri, et al.1 |
This retrospective study indicates that, although combining radiation with chemotherapy has fallen out of favor for elderly patients with PCNSL, there is an OS benefit of CMT over single modality treatment which was greatest in the initial year of treatment. Notably, the survival benefit then began to steadily decline to the point of overlap with other groups, indicating late toxicity and increased probability of death in patients receiving CMT. Further work should focus on identifying factors which contribute to increased toxicity and establishing an optimal radiation dosage and technique to minimize this. Furthermore, confirmatory studies that explore the survival advantage of CMT over single modality treatment should be conducted in randomized trials.
Disparities were identified among patients with PCNSL; treatment at an academic/research center, increased age, higher income, and living in rural areas were all associated with decreased CMT administration. Treatment in academic/research programs increased the likelihood of receiving any treatment and chemotherapy, both of which can drastically improve patient outcomes.
The inferior prognosis among patients receiving no treatment (median OS, 2 months) emphasizes the need to identify contributing factors to treatment availability. This study highlights the influence of social and economic factors such as age, gender, race, insurance status, and residence on treatment decisions, and thus patient outcome. Having insurance, especially Medicare or private insurance, was predictive of receiving therapy, while the probability of patients receiving any treatment at all reduced with advancing age and comorbidity score.
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