A method for subsurface visualization and characterization of hidden subsurface nano-structures based on Scanning Tuneling Microscopy/Spectroscopy (STM/STS) has been developed. The nano-objects ...buried under a metal surface up to several tens of nanometers can be visualized through the metal surface and characterized with STM without destroying the sample. This non-destructive method exploits quantum well (QW) states formed by partial electron confinement between the surface and buried nano-objects. The specificity of STM allows for nano-objects to be singled out and easily accessed. Then, their shape, size and burial depth can be determined by analyzing the spatial distribution and oscillatory behavior of the electron density at the surface of the sample. The proof of concept was demonstrated by fabricating argon nanoclusters embedded into a single-crystalline Cu matrix. Taking advantage of the specific electronic band structure Cu and inner electron focusing, we experimentally demonstrated that noble-gas nanoclusters of several nanometers large buried as deep as 80 nm can be detected, characterized and imaged. The ultime depth of this ability is estimated as 110 nm. This approach using QW states paves the way for an enhanced 3D characterization of nanostructures hidden well below a metallic surface.
Imatinib is an effective therapy for chronic myeloid leukemia (CML), a myeloproliferative syndrome characterised by the expression of the recombinant oncoprotein Bcr-Abl. Imatinib inhibits Bcr-Abl ...tyrosine kinase activity leading to apoptosis of leukemic cells sparing normal hematopoiesis. Several mechanisms of resistance to imatinib have been identified both in vitro and in vivo: Bcr-Abl mutations, an over-expression of the Bcr-Abl kinase itself or other tyrosine kinase bypass. To identify unknown mechanism, we used an imatinib resistant cell line (K562-R) generated from the erythroblastic cell line K562 (K562-S) (Blood , 2000; 93: 1070–1079) for which all described mechanisms of resistance have been previously invalidated. Previous results from a proteomic study identified some chaperon proteins such as heat shock proteins with an increased expression level in K562-R. One of them, the heat shock protein 70, Hsp70, has a 3 fold increase expression level in K562-R cells, results which have been confirmed by western-blot analysis. To characterise the role of Hsp 70 in imatinib resistance, we inhibit Hsp 70 expression by RNA silencing (siRNA) in K562-R cells and over-express it in K562-S cells. Inhibition of Hsp70 protein expression by siRNA decrease Hsp70 expression rapidly over 90% at day 4 which is associated with a significant reduction of viability (66 ± 6%, n = 5, p < 0.03). Over expression of Hsp 70 in K562-S cells induced a significant increase of resistance to imatinib since the addition of imatinib only increases mortality by 27 ± 5 % in comparison to 52 ± 4 % for K562-S cells (n = 4, p < 0.001). Detection of HSF-1 phosphorylation, the major transcription factor involved in Hsp 70 expression, did not show significant differences between K562-S and K562-R cells although over a 3 fold increase is detected in the mRNA level of Hsp 70 in K562-R cells by quantitative PCR. Furthermore, the comparison of Hsp70 expression in mononuclear cells of 7 CML patients before imatinib treatment and at the relapse time shows that Hsp 70 is increased in imatinib resistant patients suggesting it could also play a role in resistance in vivo. Present study confirmed that over expression of Hsp 70 in the cell line K562-R is involved in the mechanism of imatinib resistance in vitro. Moreover, the correlation between the increase of Hsp 70 in CML patient cells and resistance suggests it could be an interesting marker and potentially a therapeutic target.
Objective: Mapping of transrectal ultrasonographic (TRUS) prostate biopsies is of fundamental importance for either diagnostic purposes or the management and treatment of prostate cancer, but the ...localization of the cores seems inaccurate. Our objective was to evaluate the capacities of an operator to plan transrectal prostate biopsies under 2-dimensional TRUS guidance using a registration algorithm to represent the localization of biopsies in a reference 3-dimensional ultrasonographic volume. Methods: Thirty-two patients underwent a series of 12 prostate biopsies under local anesthesia performed by 1 operator using a TRUS probe combined with specific third-party software to verify that the biopsies were indeed conducted within the planned targets. RESULTS: The operator reached 71% of the planned targets with substantial variability that depended on their localization (100% success rate for targets in the middle and right parasagittal parts versus 53% for targets in the left lateral base). Feedback from this system after each series of biopsies enabled the operator to significantly improve his dexterity over the course of time (first 16 patients: median score, 7 of 10 and cumulated median biopsy length in targets of 90 mm; last 16 patients, median score, 9 of 10 and a cumulated median length of 121 mm; P = .046). Conclusions: In addition to being a useful tool to improve the distribution of prostate biopsies, the potential of this system is above all the preparation of a detailed "map" of each patient showing biopsy zones without substantial changes in routine clinical practices.
