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: BRAF and EGFR inhibitors synergize to increase cytotoxic effects and decrease stem cell capacities in BRAF(V600E)-mutant colorectal cancer cells. Mutations in the oncogene BRAF(V600E) are found in ~10% of colorectal cancers (CRCs) and are associated with poor prognosis. However, BRAF(V600E) has a limited response to the small-molecule drug, vemurafenib, a BRAF inhibitor, and BRAF inhibition is thought to cause a feedback activation of EGFR signaling that supports continued proliferation. In this study, we explored the effect of combined use of dabrafenib, a BRAF inhibitor, and cetuximab, an EGFR inhibitor, on BRAF(V600E)-mutant CRC stem cells and its possible mechanisms. Through cell viability analysis, flow cytometry, sphere forming, and western blot analysis, we found that the dabrafenib can synergize with cetuximab to reduce cell viability, induce enhanced apoptotic rates and cell cycle arrest in BRAF(V600E)-mutant HT-29 cells and inhibits stem cell capacities. Further, western blot analysis revealed that PTEN/Src/c-Myc pathway is possibly involved in the synergism between dabrafenib and cetuximab. Overall , our study shows that the combination of dabrafenib and cetuximab results in increased antitumor activity and decreased stem cell capacities in BRAF(V600E)-mutant CRC cells .

sentence: Overall , our study shows that the combination of dabrafenib and cetuximab results in increased antitumor activity and decreased stem cell capacities in BRAF(V600E)-mutant CRC cells .
[["dabrafenib", "cetuximab", "POS"]]