Activation of the gp130 signal transducer is mandatory for INA-6 cell growth in vitro and in vivo. Both the MAPK and the Jak/STAT pathway are operative in malignant plasma cells and either one is essential for plasma cell growth. The INA-6 cell line provides a preclinical model to study growth regulation of human plasmacytoma cells and to evaluate novel therapeutic strategies.

Nitrogen‐containing bisphosphonates (N‐BPs) are effective antiosteolytic agents in patients with multiple myeloma. Preclinical studies have also demonstrated that these agents have direct antitumor effects in vitro and can reduce tumor burden in a variety of animal models, although it is not clear whether such effects are caused by direct actions on tumor cells or by inhibition of bone resorption. N‐BPs prevent bone destruction in myeloma by inhibiting the enzyme farnesyl pyrophosphate synthase in osteoclasts, thereby preventing the prenylation of small GTPase signaling proteins. In this study, utilizing a plasmacytoma xenograft model without complicating skeletal lesions, treatment with zoledronic acid (ZOL) led to significant prolongation of survival in severe combined immunodeficiency mice inoculated with human INA‐6 plasma cells. Following treatment with a clinically relevant dose of ZOL, histological analysis of INA‐6 tumors from the peritoneal cavity revealed extensive areas of apoptosis associated with poly (ADP‐ribose) polymerase cleavage. Furthermore, Western blot analysis of tumor homogenates demonstrated the accumulation of unprenylated Rap1A, indicative of the uptake of ZOL by nonskeletal tumors and inhibition of farnesyl pyrophosphate synthase. These studies provide, for the first time, clear evidence that N‐BPs have direct antitumor effects in plasma cell tumors in vivo and this is executed by a molecular mechanism similar to that observed in osteoclasts.

The structure of unknown compounds present in herbal products was elucidated using liquid chromatography-electrospray ionization-mass spectrometry, direct-infusion electrospray ionization-mass spectrometry, and nuclear magnetic resonance. Compounds 1-3 were identified as sildenafil analogues, 1 bearing an N-ethylpiperazine moiety instead of an Nmethylpiperazine, and an acetyl group instead of the sulfonyl group, named acetildenafil, 2 bearing an N-ethylpiperazine moiety instead of an N-methylpiperazine (homosildenafil), and 3 bearing an N-hydroxylethylpiperazine moiety instead of an N-methylpiperazine, named hydroxyhomosildenafil. When analysing products marketed for penile erectile dysfunction or marketed as aphrodisiacs, attention should be given to the possible presence of these components.

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On-scene drug detection is an increasingly significant challenge due to the fastchanging drug market as well as the risk of exposure to potent drug substances. Conventional colorimetric cocaine tests involve handling of the unknown material and are prone to false-positive reactions on common pharmaceuticals used as cutting agents. This study demonstrates the novel application of 740-1070 nm small-wavelength-range near-infrared (NIR) spectroscopy to confidently detect cocaine in case samples. Multistage machine learning algorithms are used to exploit the limited spectral features and predict not only the presence of cocaine but also the concentration and sample composition. A model based on more than 10,000 spectra from case samples yielded 97% true-positive and 98% true-negative results. The practical applicability is shown in more than 100 case samples not included in the model design. One of the most exciting aspects of this on-scene approach is that the model can almost instantly adapt to changes in the illicit-drug market by updating metadata with results from subsequent confirmatory laboratory analyses. These results demonstrate that advanced machine learning strategies applied on limited-range NIR spectra from economic handheld sensors can be a valuable procedure for rapid on-site detection of illicit substances by investigating officers. In addition to forensics, this interesting approach could be beneficial for screening and classification applications in the pharmaceutical, food-safety, and environmental domains.