Malignancy-associated hypercalcemia (MAH) is the commonest cause of hypercalcemia in hospitalized patients. Its incidence is 15 cases per 100,000 person-year. Such complication develops in almost 10% of patients with advanced cancer representing, ultimately, the most frequent cause of death in several patients with cancer. Parathyroid hormone related protein (PTHrP), which has strong homology to parathyroid hormone, is the commonest hormonal mediator of MAH. Overall, about 80% of patients with MAH have increased PTHrP serum levels. Bisphosphonates are synthetic analogues of pyrophosphate, and represent the principal support of treatment. Several bisphosphonates have shown to decrease serum calcium levels by inhibiting PTH-dependent osteoclast activation. They are potent and effective inhibitors of osteoclast-mediated bone resorption, and have shown antiangiogenic properties in some experimental models. At present, pamidronate, zoledronate and ibandronate should be considered the drugs of choice in the treatment of MAH. Old agents such as mithramycin, calcitonine, and gallium nitrate have practically been abandoned due to their limited activity and huge side effects, especially for the kidney. A new experimental approach to MAH involves the blockade of receptor activator of nuclear factor-kappa B ligand, usually abbreviated as RANKL. RANKL is a key element in the differentiation, function, and survival of osteoclasts, which plays an essential role in removing Ca(++) from the bone in response to PTH stimulation. This review provides information about the actual medical treatment of MAH.

Metabolic reprogramming is a hallmark of clear cell renal cell carcinoma (ccRCC) progression. Here, we used genome-scale metabolic modeling to elucidate metabolic reprogramming in 481 ccRCC samples and discovered strongly coordinated regulation of glycosaminoglycan (GAG) biosynthesis at the transcript and protein levels. Extracellular GAGs are implicated in metastasis, so we speculated that such regulation might translate into a non-invasive biomarker for metastatic ccRCC (mccRCC). We measured 18 GAG properties in 34 mccRCC samples versus 16 healthy plasma and/or urine samples. The GAG profiles were distinctively altered in mccRCC. We derived three GAG scores that distinguished mccRCC patients with 93.1%-100% accuracy. We validated the score accuracies in an independent cohort (up to 18 mccRCC versus nine healthy) and verified that the scores normalized in eight patients with no evidence of disease. In conclusion, coordinated regulation of GAG biosynthesis occurs in ccRCC, and non-invasive GAG profiling is suitable for mccRCC diagnosis.

Group performance status, mini-mental state examination, body mass index, Cumulative Illness Rating Scale, number of drugs and the presence of caregiver. Cancer sites (breast 46.5 %, colorectal 21.3 %, lung 6.4 %, prostate 5.5 %, urinary tract 5.0 %, other 15.3 %) and cancer stages (I 37 %, II 22 %, III 19 %, IV 22 %) were also included in the model. All-cause mortality was recorded. Three grades of severity of the Onco-MPI score (low risk: 0.0-0.46, medium risk: 0.47-0.63, high risk: 0.64-1.0) were calculated using REC-PAM method. Discriminatory power and calibration were assessed by estimating survival C-indices, along with 95 % confidence interval (CI) and the survival-based HosmerLemeshow (HL) measures. Results One-year mortality incidence rate was 17.4 %. A significant difference in mortality rates was observed in Onco-MPI low risk compared to medium-and high-risk patients (2.1 vs. 17.7 vs. 80.8 %, p < 0.0001). The discriminatory power of one-year mortality prediction of the Onco-MPI was very good (survival C-index 0.87, 95 % CI 0.84-0.90) with an excellent calibration (HL p value 0.854). Conclusion Onco-MPI appears to be a highly accurate and well-calibrated predictive tool for one-year mortality in older cancer patients that can be useful for clinical decision making in this age group.