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Researchers at UCLA's Jonsson Comprehensive cancer Center have developed a way to image the spread of a particularly dangerous form of cancer">prostate cancer earlier than conventional imaging in use today,

Gold nanoparticles have attracted great interests in the fields of biological and medical applications in past few years. Comparing with quantum dots and other materials, gold nanoparticles have been investigated and utilized in several biotechnology applications, such as sensory probes, drug delivery, and therapy techniques. In addition, gold nanoparticles can be excited by light at Near-IR absorbing, which makes them to be the next generation contrast agents for diagnostic and phototherapeutic applications, such as two-photon luminescence imaging, light-scattering imaging, surface-enhanced Raman scattering, and photothermal therapy.

ScienceDaily (Mar. 15, 2009) - The viscosity, or 'gloopiness', of different parts of cancer cells increases dramatically when they are blasted with light-activated cancer drugs, according to new images that provide fundamental insights into how cancer cells die, published in Nature Chemistry March 15.

Dichloroacetate (DCA) as a potential metabolic-targeting therapy for cancer. Michelakis ED, Webster L, Mackey JR. Br J Cancer. 2008 Oct 7;99(7):989-94. Epub 2008 Sep 2. Review. PMID: 18766181 doi:10.1038/sj.bjc.6604554 The unique metabolism of most solid tumours (aerobic glycolysis, i.e., Warburg effect) is not only the basis of diagnosing cancer with metabolic imaging but might also be associated with the resistance to apoptosis that characterises cancer. The glycolytic phenotype in cancer appears to be the common denominator of diverse molecular abnormalities in cancer and may be associated with a (potentially reversible) suppression of mitochondrial function. The generic drug dichloroacetate is an orally available small molecule that, by inhibiting the pyruvate dehydrogenase kinase, increases the flux of pyruvate into the mitochondria, promoting glucose oxidation over glycolysis. This reverses the suppressed mitochondrial apoptosis in cancer and results in suppression of tumour growth in vitro and in vivo. Here, we review the scientific and clinical rationale supporting the rapid translation of this promising metabolic modulator in early-phase cancer clinical trials More than 40 nonrandomised trials of DCA in small cohorts of patients have been reported, but the first two randomised control trials of chronic oral therapy with DCA in congenital mitochondrial diseases were reported in 2006. In the first, a blinded placebo-controlled study was performed with oral DCA administered at 25 mg kg-1 day-1 in 30 patients with MELAS syndrome (mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes) (Kaufmann et al, 2006). Most patients enrolled in the DCA arm developed symptomatic peripheral neuropathy, compared with 4 out of 15 in the placebo arm, leading to the termination of the study. Seventeen out of 19 patients had at least partial resolution of peripheral neurological symptoms by 9 months after discontinuation of DCA. This neurotoxicity res

What if we didn't try to cure cancer, but simply kept tumors from growing too big? That's what radiologist Robert Gatenby of the Moffitt Cancer Center proposes this week in the journal Nature. Gatenby argues that high doses of powerful chemotherapies wreak havoc on a patient's immune system and foster the rapid regrowth of chemoresistant cancers that doctors have no hope of fighting.  So instead of curing cancer, he suggests doctors aim to stabilize the tumor at a tolerable size. In practice, this would mean that doctors identify a target size for an individual tumor that gives the patient the best quality of life.  Then, they will regularly monitor the tumor's growth with medical imaging equipment like a PET/CT scanner (see photo), and regulate doses of anticancer drugs to maintain it at a precise volume.

In a paper published Nov. 9 in Science Translational Medicine, computer scientists at the Stanford School of Engineering and pathologists at the Stanford School of Medicine report their collaboration to train computers to analyze breast cancer microscopic images.

New computer model analyzes microscopic breast cancer images and predicts patient survival better than the pathologists who do the job now.

Tightened security at airports has created new problems for medical patients, who may be subjected to embarrassing public pat-downs after imaging machines detect devices or implants related to their health.