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: Antibody therapy alone and in combination with targeted drugs in chronic lymphocytic leukemia. The development of non-chemotherapeutic agents, including monoclonal antibodies (mAbs) and other targeted drugs, makes chemotherapy-free treatment an attractive option for chronic lymphocytic leukemia (CLL). The classical mAb, rituximab, has been authorized for use in both first-line and second-line therapy for CLL. New mAbs directed against CD20, ofatumumab, and obinutuzumab (GA-101) have also been approved for the treatment of this disease. Recently, several new mAbs with potential benefits over the approved anti-CD20 antibodies have been developed for use in CLL. Anti-CD37, anti-CD19, and anti-CD40 mAbs are in early clinical trials and show promise in treating CLL. In addition, the combination of mAbs with B-cell receptor signaling pathway inhibitors and immunomodulatory drugs makes the chemotherapy-free option a reality today. Combinations of antibodies with targeted drugs like ibrutinib , idelalisib , or lenalidomide are expected to replace chemotherapy-based combinations for treating CLL in the near future . However, phase III trials should confirm the benefit of these new treatment strategies and establish their exact place in the therapeutic armamentarium for CLL.

sentence: Combinations of antibodies with targeted drugs like ibrutinib , idelalisib , or lenalidomide are expected to replace chemotherapy-based combinations for treating CLL in the near future .
[["antibodies", "ibrutinib", "POS"], ["antibodies", "idelalisib", "POS"], ["antibodies", "lenalidomide", "POS"]]