You will be shown a paragraph from a biomedical research article. Your task is to extract all drug combinations appearing in a specific sentence within in the paragraph. Each drug combination should be assigned to one of the following three categories:

- POS: Indicates a positive interaction between the drugs in the combination; for instance, drugs that have an additive or synergistic effect.
- NEG: Indicates a negative interaction between the drugs in the combination; for instance, combining these drugs might result in adverse side effects, or might reduce their efficacy.
- COMB: Indicates that the drugs are given in combination, but the type of interaction between the drugs cannot be determined based on the provided context.

Please format your answer as a json array. Each entry in the array should itself be an array formatted as [<drug_1>, <drug_2>, ..., <drug_n>, <category>] where <category> is one of the three categories listed above and <drug_1>, ..., <drug_n> are drug names copied verbatim from the input sentence. Different combinations may involve different numbers of drugs; in other words, the `n` in <drug_n> may vary.

As an example, the following output describes two extracted drug combinations; one between two drugs, and one between three drugs:

[["artesunate", "artemether", "COMB"], ["Nifedipine", "Labetalol", "Prazosin", "POS"]]

The paragraph and specific sentence are below. You should only extract relationships expressed in the specific sentence; the paragraph is provided for context.

In your output, return only the json array and no other text. If no drug combinations appear, return an empty array `[]`.

paragraph: Phase 2 trial of infusional cyclophosphamide, doxorubicin, and etoposide in patients with poor-prognosis, intermediate-grade non-Hodgkin lymphoma: an Eastern Cooperative Oncology Group trial (E3493). Preclinical and clinical evidence suggest a potential advantage for infusional therapy in lymphoma. Sixty-two analyzable patients with predominantly intermediate-grade non-Hodgkin lymphoma received cyclophosphamide ( 200 mg/m(2 ) per day ) , doxorubicin ( 12.5 mg/m(2 ) per day ) , and etoposide ( 60 mg/m(2 ) per day ) ( CDE ) by continuous intravenous infusion for 4 days ( 96 hours ) every 3 weeks for a maximum of 8 cycles . By the age-adjusted International Prognostic Index (IPI), 42% were at high risk and 58% were at high-intermediate risk. Complete response (CR) occurred in 30 (48%) patients (95% confidence interval [CI], 35%, 64%), and partial response occurred in 16 (26%) patients, yielding an overall response rate of 74% (95% CI, 62%, 84%). Failure-free survival (FFS) rates at 1 and 2 years were 55% (95% CI, 43%, 67%) and 50% (95% CI, 38%, 62%), respectively. When comparing the outcome for 62 patients receiving infusional CDE with historical data derived from 927 IPI-matched lymphoma patients using a Cox proportional hazards model, there was a nonsignificant trend favoring CDE in FFS (P =.12) and overall survival (P =.09). Severe or life-threatening toxicity included neutropenia (68%), anemia (57%), thrombocytopenia (44%), and infection (24%). Two patients (3%) died of treatment-related infectious complications. The primary end point of improving 1-year FFS from 55% to 70% was not achieved with infusional CDE given as initial therapy in patients with poor-risk intermediate-grade lymphoma. It is unlikely that infusional therapy as used in this study produces a 25% or greater relative improvement in FFS compared with standard therapy.

sentence: Sixty-two analyzable patients with predominantly intermediate-grade non-Hodgkin lymphoma received cyclophosphamide ( 200 mg/m(2 ) per day ) , doxorubicin ( 12.5 mg/m(2 ) per day ) , and etoposide ( 60 mg/m(2 ) per day ) ( CDE ) by continuous intravenous infusion for 4 days ( 96 hours ) every 3 weeks for a maximum of 8 cycles .
[["cyclophosphamide", "doxorubicin", "etoposide", "COMB"]]