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: A new G-CSF-supported combination chemotherapy, LSG15, for adult T-cell leukaemia-lymphoma: Japan Clinical Oncology Group Study 9303. This phase II trial was performed to evaluate the efficacy of a new granulocyte colony-stimulating factor (G-CSF)-supported multi-agent chemotherapy protocol, LSG15, for aggressive adult T-cell leukaemia-lymphoma (ATL). Ninety-six previously untreated patients with aggressive ATL were enrolled and grouped as: acute type (58), lymphoma type (28) and unfavourable chronic type (10). Therapy consisted of seven cycles of VCAP ( vincristine , cyclophosphamide , doxorubicin and prednisone ) , AMP ( doxorubicin , ranimustine and prednisone ) and VECP ( vindesine , etoposide , carboplatin and prednisone ) . G-CSF was administered during the intervals between chemotherapy until neutrophil reconstitution was achieved. Eighty-one per cent of the 93 eligible patients responded [95% confidence interval (CI), 71.1-88.1%], with 33 patients obtaining complete response (35.5%) and 42 obtaining partial response (45.2%). The median survival time (MST) after registration was 13 months and the median follow-up duration of the 20 surviving patients was 4.2 years (range 2.8-5.6). Overall survival at 2 years was estimated to be 31.3% (95% CI, 22.0-40.5%). Grade 4 haematological toxicity of neutropenia and thrombocytopenia were observed in 65.3% and 52.6% of the patients respectively, but grade 4 non-haematological toxicity was observed in only one patient. LSG15 is feasible with mild non-haematological toxicity and improved the clinical outcome of ATL patients. MST and overall survival at 2 years were superior to those obtained by our previous trials.

sentence: Therapy consisted of seven cycles of VCAP ( vincristine , cyclophosphamide , doxorubicin and prednisone ) , AMP ( doxorubicin , ranimustine and prednisone ) and VECP ( vindesine , etoposide , carboplatin and prednisone ) .
[["vincristine", "cyclophosphamide", "doxorubicin", "prednisone", "doxorubicin", "ranimustine", "prednisone", "etoposide", "carboplatin", "prednisone", "vindesine", "POS"]]