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: Pharmacokinetic and pharmacodynamic evaluation of aflibercept for the treatment of colorectal cancer. Colorectal cancer (CRC) is currently one of the most lethal and prevalent tumors worldwide. Prognosis in the metastatic setting remains poor despite therapeutic advances. In addition to chemotherapy, new drugs have recently been developed targeting signaling pathways involved in tumor growth, differentiation and angiogenesis. aflibercept , a recombinant protein derived from VEGF receptors 1 and 2, also targets this angiogenesis pathway but via a different mechanism, acting as VEGF decoy, thus blocking other VEGFs. ### Areas Covered A comprehensive review of preclinical studies with aflibercept in cell lines and xenografts of different tumor types is presented. aflibercept safety, pharmacokinetics and pharmacodynamics data from Phase I studies in solid tumor patients are discussed. Implications of Phase II studies and the pivotal Phase III VELOUR trial of second-line treatment in metastatic CRC (mCRC) patients evaluating aflibercept alone or combined with chemotherapy are also described. ### Expert Opinion In this challenging field , aflibercept offers a good option for oxaliplatin-refractory mCRC patients when combined with irinotecan and 5-fluorouracil irrespective of prior anti-angiogenic treatment . Therapeutic management may be further advanced by characterization of patients with predictive biomarkers and molecular profiles to improve benefit with this treatment.

sentence: In this challenging field , aflibercept offers a good option for oxaliplatin-refractory mCRC patients when combined with irinotecan and 5-fluorouracil irrespective of prior anti-angiogenic treatment .
[["aflibercept", "irinotecan", "5-fluorouracil", "POS"]]