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: Effects of Somatostatin, Curcumin and Quercetin on the fatty acid profile of breast cancer cell membranes.  We used MCF-7 and MDA-MB231 breast cancer cells incubated with Curcumin and Quercetin for 24h , in the absence and presence of Somatostatin , at their EC50 concentrations , to evaluate membrane fatty acid-based functional lipidomics together with the follow-up of EGFR and MAPK signaling pathways . The two cell lines gave different membrane free fatty acid reorganization: in MCF-7 cells, the following changes observed: increase of omega-6 linoleic acid in the cells incubated with Somatostatin+Quercetin and Quercetin and decrease of omega-3 acids in the cells incubated with Somatostatin+Curcumin compared to Somatostatin, and significant increases of monounsaturated fatty acid (MUFA), mono-trans arachidonic acid levels and docosapentaenoic acid for the cells incubated with Somatostatin+Quercetin compared to the control cells. In MDA-MB231 cells, incubations with Curcumin, Quercetin and Somatostatin+Quercetin induced the most significant membrane remodeling with the increase of stearic acid, diminution of omega-6 linoleic, arachidonic acids and omega-3 (docosapentaenoic and docosahexaenoic acids). Distinct signaling pathway changes were found for these cell lines. In MCF-7 cells, separate or combined incubations with Somatostatin and Quercetin, significantly decreased EGFR and incubation with Curcumin decreased MAPK signaling. In MDA-MB231 cells, incubation with Curcumin decreased AKT1 and p-AKT1(Thr308) levels. Incubation with Curcumin and Quercetin decreased the EGFR levels.

sentence: We used MCF-7 and MDA-MB231 breast cancer cells incubated with Curcumin and Quercetin for 24h , in the absence and presence of Somatostatin , at their EC50 concentrations , to evaluate membrane fatty acid-based functional lipidomics together with the follow-up of EGFR and MAPK signaling pathways .
[["Curcumin", "Somatostatin", "Quercetin", "COMB"]]