Soft tissue and visceral sarcomas: ESMO-EURACAN-GENTURIS Clinical Practice Guidelines for diagnosis, treatment and follow-up

Soft tissue sarcomas (STSs) comprise ∼80 entities defined by the World Health Organization (WHO) classification based on a combination of distinctive morphological, immunohistochemical and molecular features.1 These ESMO–EURACAN–GENTURIS (European Society for Medical Oncology; European Reference Network for Rare Adult Solid Cancers; European Reference Network for Genetic Tumour Risk Syndromes) Clinical Practice Guidelines (CPGs) will cover STSs, with the exception of gastrointestinal stromal tumours (GISTs) that are covered in the ESMO–EURACAN–GENTURIS GIST CPGs.2 EURACAN and GENTURIS are the European Reference Networks connecting European institutions, appointed by their governments, to cover rare adult solid cancers and genetic cancer risk syndromes, respectively. Extraskeletal Ewing sarcoma, round cell sarcoma with EWSR1-non-ETS fusion and sarcomas with CIC rearrangements and BCOR genetic alterations are covered by the ESMO–EURACAN–GENTURIS–ERN PaedCan (European Reference Network for Paediatric Oncology) bone sarcomas CPG.3 Kaposi's sarcoma, embryonal and alveolar rhabdomyosarcoma are not discussed in this manuscript, while pleomorphic rhabdomyosarcoma is viewed as a high-grade, adult-type STS. Finally, extraskeletal osteosarcoma is also a considered a high-grade STS, whose clinical resemblance with osteosarcoma of bone is doubtful. The methodology followed during the consensus meeting is specified at the end of the manuscript in a dedicated paragraph

Kinetic differences at low temperatures between R and T state carbon monoxide-carp hemoglobin.

We use the low-temperature recombination kinetics of carbon monoxide with carp hemoglobin to determine that the R and T states of hemoglobin exhibit different low-temperature geminate recombination kinetics. The peak of the fitted Gaussian activation energy spectrum is at 1.5 kcal/mol for R state and 1.8 kcal/mol for T state. The distribution in activation energies is fit well by the Agmon-Hopfield linear strain model. The T state is fit with a stronger elastic constant than R, and has a larger displacement of the protein conformation coordinate than does the R state, indicating that the T state does have a significantly greater rigidity and also stores more strain energy in its conformational states than does R hemoglobin. The pre-exponential in the activation energy spectrum is only a factor of two greater in the R than the T state and the low-temperature activation energy spectrum does not correctly predict the difference in the on rates for R and T states at 300 degrees K, indicating that processes removed from the binding site are important in cooperativity

Dependence of the electro-optical properties of polymer dispersed liquid crystals on the photopolymerization process

We have studied the dependence of the electro-optical properties of polymer dispersed liquid crystals ͑PDLC͒ on the ultraviolet ͑UV͒ cure of the solution of monomer and liquid crystal. The kinetics of UV polymerization and its effect on the morphology of the phase separated droplets of liquid crystal determine the switching voltage, response time, and luminance of the PDLC. Using a series of statistically designed experiments, we have mapped the dependence of these responses on the weight fraction of liquid crystal, the temperature of the cell during cure, and light intensity. Temperature and composition are strongly coupled parameters that influence switching voltage, luminance, and response times. Switching voltages are minimized at 4-5 V for an 8 m cell gap over a large region of temperature-composition space. An abrupt transition line occurs through that space. On one side of the transition line, voltage increases linearly either as temperature increases or composition decreases, and on the other side of the line, voltage is constant. Analyses of decay times, the slower response time of the PDLC, show that the times peak along a line of points in temperature-composition space that is close to the transition line for increasing switching voltages. We present these results as contours on the same graphs and relate them to our understanding of the phase separation process in the PDLC mixture