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: Weight change trajectory in women with breast cancer receiving chemotherapy and the effect of different regimens. To investigate the trajectory of weight change in Taiwanese women with breast cancer after starting chemotherapy and the impact of chemotherapy regimens on weight change while controlling for age, menopausal status, body mass index, lymph node involvement and changes in habits of dietary fat intake and exercise. ### background Weight gain after adjuvant chemotherapy in women with breast cancer has negative impact on health outcomes. ### design Longitudinal, clinical observational study. ### methods Weights were repeatedly measured in 147 women with breast cancer stages I-III. Hierarchical linear modelling was used to analyse these longitudinal data. ### results The overall pattern of weight change was a cubic form beginning with a mean of 56·9 kg before chemotherapy. It gradually increased to 59·4 kg at 8·5 months after the first chemotherapy followed by a decrease to 58·5 kg at 21·5 months. During the last 2·5 months, weight increased slightly and never returned to the initial level. After controlling for confounders, steeper weight change was observed among women receiving cyclophosphamide, methotrexate and fluorouracil. The highest weight gain in the cyclophosphamide , methotrexate and fluorouracil group was 2·9 kg ( 5 % ) vs. 0·9 kg ( 1 % ) in the anthracycline-based group . ### conclusion The trajectory of body weight change within two years after chemotherapy shows a trend of gradual ascent, followed by a small decline and a slight increase in the last 2·5 months. The chemotherapy regimen can predict the trend after controlling for other confounders; women on cyclophosphamide, methotrexate and fluorouracil have a steeper weight change. ### Relevance To Clinical Practice Nurses can inform women with breast cancer about the expected changes in body weight after chemotherapy to reduce their uncertainty. Future studies on effective interventions to minimise chemotherapy-induced weight gain are needed.

sentence: The highest weight gain in the cyclophosphamide , methotrexate and fluorouracil group was 2·9 kg ( 5 % ) vs. 0·9 kg ( 1 % ) in the anthracycline-based group .
[["cyclophosphamide", "methotrexate", "fluorouracil", "COMB"]]