We consider the problem of asymmetric communications, which are common in many access networks. We propose a new asymmetric communication algorithm, called CacheQuery, to leverage on the already deployed downlink bandwidth and receiver capability to accelerate the uplink data transfer from one or multiple senders to a receiver. The design of CacheQuery differs from all previous asymmetric communication algorithms in two ways: (i) CacheQuery supports more flexible matching mechanism to identify redundant packet payload and (ii) CacheQuery allocates a small sender cache to absorb the potentially high downlink traffic overhead incurred by asymmetric communications. The trace-driven simulations indicate that, compared to existing asymmetric communication algorithms, CacheQuery achieves higher uplink transfer speed, yet reduces downlink traffic overhead.