Denis RD, Stahlman J, Stamen R, Stanecka E, Stanek RW, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staszewski R, Staude A, Stavina P, Steele G, Steinbach P, Steinberg P, Stekl I, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stern S, Stewart GA, Stillings JA, Stockton MC, Stoebe M, Stoerig K, Stoicea G, Stonjek S, Strachota P, Stradling AR, Straessner A, Strandberg J, Strandberg S, Strandlie A, Strang M, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Strong JA, Stroynowski R, Stugu B, Stumer I, Stupak J, Sturm P, Styles NA, Su D, Subramania HS, Subramaniam R, Succurro A, Sugaya Y, Suhr C, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki Y, Suzuki Y, Svatos M, Swedish S, Swiatlowski M, Sykora I, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Taiblum N, Takahashi Y, Takai H, Takashima R, Takeda H, Takeshita T, Takubo Y, Talby M, Talyshev A, Tam JYC, Tamsett MC, Tan KG, Tanaka J, Tanaka R, Tanaka S, Tanaka S, Tanasijczuk AJ, Tani K, Tannoury N, Tapprogge S, Tardif D, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tayalati Y, Taylor C, Taylor FE, Taylor GN, Taylor W, Teinturier M, Teischinger FA, Teixeira Dias Castanheira M, Teixeira-Dias P, Temming KK, Ten Kate H, Teng PK, Terada S, Terashi K, Terron J, Testa M, Teuscher RJ, Therhaag J, Theveneaux-Pelzer T, Thoma S, Thomas JP, Thompson EN, Thompson PD, Thompson PD, Thompson AS, Thomsen LA, Thomson E, Thomson M, Thong WM, Thun RP, Tian F, Tibbetts MJ, Tic T, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tiouchichine E, Tipton P, Tisserant S, Todorov T, Todorova-Nova S, Toggerson B, Tojo J, Tokár S, Tokushuku K, Tollefson K, Tomlinson L, Tomoto M, Tompkins L, Toms K, Tonoyan A, Topfel C, Topilin ND, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Tran HL, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Triplett N, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, Trovatelli M, True P, Trzebinski M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiakiris M, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsukerman II, Tsulaia V, Tsung JW, Tsuno S, Tsybychev D, Tua A, Tudorache A, Tudorache V, Tuggle JM, Turala M, Turecek D, Turk Cakir I, Turra R, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Tzanakos G, Uchida K, Ueda I, Ueno R, Ughetto M, Ugland M, Uhlenbrock M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Urbaniec D, Urquijo P, Usai G, Vacavant L, Vacek V, Vachon B, Vahsen S, Valencic N, Valentinetti S, Valero A, Valery L, Valkar S, Valladolid Gallego E, Vallecorsa S, Valls Ferrer JA, Van Berg R, Van Der Deijl PC, van der Geer R, van der Graaf H, Van Der Leeuw R, van der Poel E, van der Ster D, van Eldik N, van Gemmeren P, Van Nieuwkoop J, van Vulpen I, Vanadia M, Vandelli W, Vaniachine A, Vankov P, Vannucci F, Vari R, Varnes EW, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vassilakopoulos VI, Vazeille F, Vazquez Schroeder T, Veloso F, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinek E, Vinogradov VB, Virzi J, Vitells O, Viti M, Vivarelli I, Vives Vaque F, Vlachos S, Vladoiu D, Vlasak M, Vogel A, Vokac P, Volpi G, Volpi M, Volpini G, von der Schmitt H, von Radziewski H, von Toerne E, Vorobel V, Vorwerk V, Vos M, Voss R, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vu Anh T, Vuillermet R, Vukotic I, Vykydal Z, Wagner W, Wagner P, Wahlen H, Wahrmund S, Wakabayashi J, Walch S, Walder J, Walker R, Walkowiak W, Wall R, Waller P, Walsh B, Wang C, Wang H, Wang H, Wang J, Wang J, Wang K, Wang R, Wang SM, Wang T, Wang X, Warburton A, Ward CP, Wardrope DR, Warsinsky M, Washbrook A, Wasicki C, Watanabe I, Watkins PM, Watson AT, Watson IJ, Watson MF, Watts G, Watts S, Waugh AT, Waugh BM, Weber MS, Webster JS, Weidberg AR, Weigell P, Weingarten J, Weiser C, Wells PS, Wenaus T, Wendland D, Weng Z, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Werth M, Wessels M, Wetter J, Weydert C, Whalen K, White A, White MJ, White S, Whitehead SR, Whiteson D, Whittington D, Wicke D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiglesworth C, Wiik-Fuchs LAM, Wijeratne PA, Wildauer A, Wildt MA, Wilhelm I, Wilkens HG, Will JZ, Williams E, Williams HH, Williams S, Willis W, Willocq S, Wilson JA, Wilson MG, Wilson A, Wingerter-Seez I, Winkelmann S, Winklmeier F, Wittgen M, Wittig T, Wittkowski J, Wollstadt SJ, Wolter MW, Wolters H, Wong WC, Wooden G, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wraight K, Wright M, Wrona B, Wu SL, Wu X, Wu Y, Wulf E, Wynne BM, Xella S, Xiao M, Xie S, Xu C, Xu D, Xu L, Yabsley B, Yacoob S, Yamada M, Yamaguchi H, Yamaguchi Y, Yamamoto A, Yamamoto K, Yamamoto S, Yamamura T, Yamanaka T, Yamauchi K, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao L, Yasu Y, Yatsenko E, Ye J, Ye S, Yen AL, Yilmaz M, Yoosoofmiya R, Yorita K, Yoshida R, Yoshihara K, Young C, Young CJS, Youssef S, Yu D, Yu DR, Yu J, Yu J, Yuan L, Yurkewicz A, Zabinski B, Zaidan R, Zaitsev AM, Zambito S, Zanello L, Zanzi D, Zaytsev A, Zeitnitz C, Zeman M, Zemla A, Zenin O, Ženiš T, Zerwas D, Zevi della Porta G, Zhang D, Zhang H, Zhang J, Zhang L, Zhang X, Zhang Z, Zhao L, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou N, Zhou Y, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhuravlov V, Zibell A, Zieminska D, Zimin NI, Zimmermann R, Zimmermann S, Zimmermann S, Zinonos Z, Ziolkowski M, Zitoun R, Živković L, Zmouchko VV, Zobernig G, Zoccoli A, zur Nedden M, Zutshi V, Zwalinski L. Measurement of kT splitting scales in W→ℓν events at [Formula: see text] with the ATLAS detector

A measurement of splitting scales, as defined by the kT clustering algorithm, is presented for final states containing a W boson produced in proton-proton collisions at a centre-of-mass energy of 7 TeV. The measurement is based on the full 2010 data sample corresponding to an integrated luminosity of 36 pb-1 which was collected using the ATLAS detector at the CERN Large Hadron Collider. Cluster splitting scales are measured in events containing W bosons decaying to electrons or muons. The measurement comprises the four hardest splitting scales in a kT cluster sequence of the hadronic activity accompanying the W boson, and ratios of these splitting scales. Backgrounds such as multi-jet and top-quark-pair production are subtracted and the results are corrected for detector effects. Predictions from various Monte Carlo event generators at particle level are compared to the data. Overall, reasonable agreement is found with all generators, but larger deviations between the predictions and the data are evident in the soft regions of the splitting scales.

Observation of associated near-side and away-side long-range correlations in sqrt[s(NN)]=5.02 TeV proton-lead collisions with the ATLAS detector

Two-particle correlations in relative azimuthal angle (Δø) and pseudorapidity (Δη) are measured in sqrt[s(NN)] = 5.02 TeV p+Pb collisions using the ATLAS detector at the LHC. The measurements are performed using approximately 1 μb(-1) of data as a function of transverse momentum (p(T)) and the transverse energy (ΣE(T)(Pb)) summed over 3.1 < η < 4.9 in the direction of the Pb beam. The correlation function, constructed from charged particles, exhibits a long-range (2 < |Δ η | < 5) "near-side" (Δø ~ 0) correlation that grows rapidly with increasing ΣE(T)(Pb). A long-range "away-side" (Δø ~ π) correlation, obtained by subtracting the expected contributions from recoiling dijets and other sources estimated using events with small ΣE(T)(Pb), is found to match the near-side correlation in magnitude, shape (in Δη and Δø) and ΣE(T)(Pb) dependence. The resultant Δø correlation is approximately symmetric about π/2, and is consistent with a dominant cos2Δø modulation for all ΣE(T)(Pb) ranges and particle p(T).

Utilizing confocal microscopy to measure refractive index of articular cartilage

This study proposes a method for measuring the refractive index of articular cartilage within a thin and small specimen slice. The cartilage specimen, with a thickness of about 50 μm, was put next to a thin film of immersion oil of similar thickness. Both the articular cartilage and immersion oil were scanned along the depth direction using a confocal microscope. The refractive index mismatch between the cartilage and the immersion oil induced a slight axial deformation in the confocal images of the cartilage specimen that was accurately measured by a subpixel edge-detection-based technique. A theoretical model was built to quantify the focal shift of confocal microscopy caused by the refractive index mismatch. With the quantitative deformations of cartilage images and the quantified function of focal shift, the refractive index of articular cartilage was accurately interpolated. At 561 nm, 0.1 MPa and 20 °C, the overall refractive index of the six cartilage plugs was 1.3975 ± 0.0156. The overall coefficient of variation of all cartilage specimens was 0.68%, which indicated the high repeatability of our method. The verification experiments using distilled water showed a minimal relative error of 0.02%.

Peri-procedural morbidity and mortality associated with stent-assisted coiling for intracranial aneurysms

Despite experience and technological improvements, stent-assisted coiling for intracranial aneurysms still has inherent risks. We evaluated peri-procedural morbidity and mortality associated with stent-assisted coiling for intracranial aneurysms. Patients with cerebral aneurysms that were broad-based (>4 mm) or had unfavorable dome/neck ratios (<1.5) were enrolled in this study between February and November 2011 at our center. Aneurysms were treated with the self-expanding neurovascular stents with adjunctive coil embolization. Seventy-two consecutive patients (27 men and 45 women; 22-78 years of age; mean age, 52.8 years) underwent 13 procedures for 13 ruptured aneurysms and 64 procedures for 73 unruptured aneurysms. Nine [11.7%, 95%CI(4.5%-18.9%)] procedure-related complications occurred: one and eight with initial embolization of ruptured and unruptured aneurysms, respectively. Complications included six acute in-stent thromboses, one spontaneous stent migration, one post-procedural aneurysm rupture, and one perforator occlusion. Three complications had no neurologic consequences. Two caused transient neurologic morbidity, two persistent neurologic morbidity, and two death. Procedure-related neurologic morbidity and mortality rates, respectively, were as follows: overall, 5.2% (95%CI, 0.2%-10.2%) and 2.6% (95%CI, 0%-6.2%); ruptured aneurysms, 7.7% (95%CI, 0%-36%) and 0%(95%CI, 0%-25%); unruptured aneurysms, 4.7% (95%CI, 0%-9.9%) and 3.1% (95%CI, 0%-7.3%). Combined procedure-related morbidity and mortality rates for ruptured and unruptured aneurysms were 7.7% (95%CI, 1.7%-13.7%) and 7.8% (95%CI, 1.8%-13.8%), respectively. Stent-assisted coiling is an attractive option for intracranial aneurysms. However, stent-assisted coiling for unruptured aneurysms is controversial for its comparable risk to natural history.

Decreased expression of microRNA-31 associates with aggressive tumor progression and poor prognosis in patients with bladder cancer

PURPOSE

MicroRNA-31 (miR-31) has different expression patterns in various human cancers. Especially in urothelial carcinoma of the bladder, it has been demonstrated to be decreased expression in the invasive tumors and homozygously deleted. However, its clinical significance in human bladder cancer has not yet been elucidated. Thus, the purpose of this study was to investigate the diagnostic and prognostic values of miR-31 in this disease.

METHODS

Expression levels of miR-31 in 126 pairs of bladder cancer and adjacent normal tissues were detected by real-time quantitative RT-PCR assay. To determine its prognostic value, overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method, and multivariate analysis was performed using the Cox proportional hazard analysis.

RESULTS

MiR-31 expression in bladder cancer tissues was significantly lower than those in adjacent normal tissues (mean expression level: 2.1 ± 0.9 vs. 3.8 ± 1.2, P < 0.001). When categorized into low vs. high expression, low miR-31 expression was negatively associated with the tumor stage (P = 0.02), the status of recurrence (P = 0.01), progression (P = 0.01), and death (P = 0.006) of patients with bladder cancer. Moreover, low miR-31 expression clearly predicted poorer PFS (P = 0.001) and OS (P < 0.001). In the multivariate analysis, low miR-31 expression was an independent prognostic factor for both PFS (P = 0.01) and OS (P = 0.008).

CONCLUSION

These findings show that miR-31 may contribute to the progression of bladder cancer and its downregulation may be independently associated with unfavorable PFS and OS, suggesting that miR-31 might be a promising marker for further risk stratification in the treatment of this cancer.

Tubular stomach or whole stomach for esophagectomy through cervico-thoraco-abdominal approach: a comparative clinical study on anastomotic leakage

BACKGROUND

Esophagectomy through cervico-thoraco-abdominal approach is a useful surgical technique in treating patients with esophageal cancer. However, the cervical reconstruction is also known to have a high rate of anastomotic leakage, as well as anastomotic stricture, intrathoracic stomach syndrome, reflux esophagitis and other complications, thereby influencing postoperative recovery and quality of life.

AIMS

The objective of this study was to investigate whether tubular stomach is superior to whole stomach in reducing anastomotic leakage for esophageal reconstruction through the cervico-thoraco-abdominal (3-field) approach.

METHODS

A total of 850 patients undergoing the 3-field esophagectomy were retrospectively included in this study and divided into a tubular stomach reconstruction group (Group A, n=453) and a whole stomach reconstruction group (Group B, n=397). All patients underwent esophagectomy through right thorax, left cervical part, abdominal triple incisions and done in esophageal reconstruction by hand-sewn two-layer anastomosis.

RESULTS

Results revealed that in comparison with whole stomach, esophageal reconstruction with tubular stomach had a lower incidence of anastomotic leakage (5.5 vs. 9.3%, P<0.05), less manifestation of intrathoracic syndrome (3.3 vs. 9.8%, P<0.001) and less occurence of reflux esophagitis (5.1 vs. 11.1%, P<0.01). However, for the incidence of anastomotic stricture, there was no significant difference between the two groups (9.3 vs. 9.8%).

CONCLUSIONS

This observation study suggests that for esophageal cancer patients undergoing the 3-field esophagectomy tubular stomach is better than whole stomach for esophageal reconstruction as reflected by a reduced postoperative anastomotic leakage, intrathoracic syndrome and reflux esophagitis.

Prevalent cartilage damage and cartilage loss over time are associated with incident bone marrow lesions in the tibiofemoral compartments: the MOST study

OBJECTIVE

To assess the association of prevalent cartilage damage and cartilage loss over time with incident bone marrow lesions (BMLs) in the same subregion of the tibiofemoral compartments as detected on magnetic resonance imaging (MRI).

METHODS

The Multicenter Osteoarthritis Study is an observational study of individuals with or at risk for knee osteoarthritis (OA). Subjects whose baseline and 30-month follow-up MRIs were read for findings of OA were included. MRI was performed with a 1.0 T extremity system. Tibiofemoral compartments were divided into 10 subregions. Cartilage morphology was scored from 0 to 6 and BMLs were scored from 0 to 3. Prevalent cartilage damage and cartilage loss over time were considered predictors of incident BMLs. Associations were assessed using logistic regression, with adjustments for potential confounders.

RESULTS

Medially, incident BMLs were associated with baseline cartilage damage (adjusted odds ratio (OR) 3.9 [95% confidence interval (CI) 3.0, 5.1]), incident cartilage loss (7.3 [95% CI 5.0, 10.7]) and progression of cartilage loss (7.6 [95% CI 5.1, 11.3]) Laterally, incident BMLs were associated with baseline cartilage damage (4.1 [95% CI 2.6, 6.3]), incident cartilage loss (6.0 [95% CI 3.1, 11.8]), and progression of cartilage loss (11.9 [95% CI 6.2, 23.0]).

CONCLUSION

Prevalent cartilage damage and cartilage loss over time are strongly associated with incident BMLs in the same subregion, supporting the significance of the close interrelation of the osteochondral unit in the progression of knee OA.

Observation of two new N* resonances in the decay ψ(3686)→ppπ0

Based on 106×10(6)ψ(3686) events collected with the BESIII detector at the BEPCII facility, a partial wave analysis of ψ(3686)→ppπ0 is performed. The branching fraction of this channel has been determined to be B(ψ(3686)→ppπ0)=(1.65±0.03±0.15)×10(-4). In this decay, 7 N* intermediate resonances are observed. Among these, two new resonances, N(2300) and N(2570) are significant, one 1/2+ resonance with a mass of 2300(-30-0)(+40+109)  MeV/c2 and width of 340(-30-58)(+30+110)  MeV/c2, and one 5/2- resonance with a mass of 2570(-10-10)(+19+34)  MeV/c2 and width of 250(-24-21)(+14+69)  MeV/c2. For the remaining 5 N* intermediate resonances [N(1440), N(1520), N(1535), N(1650) and N(1720)], the analysis yields mass and width values that are consistent with those from established resonances.

Cationic microRNA-delivering nanovectors with bifunctional peptides for efficient treatment of PANC-1 xenograft model

Therapeutic strategies based on modulation of microRNA activity possess much promise in cancer therapy, but the in vivo delivery of microRNA to target sites and its penetration into tumor tissues remain great challenge. In this work, miR-34a-delivering therapeutic nanocomplexes with a tumor-targeting and -penetrating bifunctional CC9 peptide were proposed for efficient treatment of pancreatic cancers. In vitro study indicated that the nanoparticle-based miR-34a delivery systems could effectively facilitate cellular uptake and greatly up-regulate the mRNA level of miR-34a in PANC-1 cell lines. The up-regulation of miR-34a remarkably induced cell cycle arrest and apoptosis, suppressed the tumor cell migration and inhibited the target gene expressions such as E2F3, Bcl-2, c-myc and cyclin D1. More importantly, the in vivo systemic administration of the developed targeting miR-34a delivery systems in a pancreatic cancer model significantly inhibited tumor growth and induced cancer cell apoptosis. Such bifunctional peptide-conjugated miRNA-delivering nanocomplexes should have great potential applications in cancer therapy.

Thinning of large mammalian cells for cryo-TEM characterization by cryo-FIB milling

Focused ion beam milling at cryogenic temperatures (cryo-FIB) is a valuable tool that can be used to thin vitreous biological specimens for subsequent imaging and analysis by cryo-transmission electron microscopy (cryo-TEM) in a frozen-hydrated state. This technique offers the potential benefit of eliminating the mechanical artefacts that are typically found with cryo-ultramicrotomy. However, due to the additional complexity in transferring samples in and out of the FIB, contamination and devitrification of the amorphous ice is commonly encountered. To address these problems, we have designed a sample cryo-shuttle that directly and specifically accepts Polara TEM cartridges to simplify the transfer process between FIB and TEM. We optimized several parameters in the cryo-FIB and cryo-TEM processes using the quality of the samples' ice as an indicator and demonstrated high-quality milling with large mammalian cells. By comparing the results from HeLa cells to those from Escherichia coli cells, we discuss some of the artefacts and challenges we have encountered using this technique.

Clustering of gene expression data via normal mixture models

There are two distinct but related clustering problems with microarray data. One problem concerns the clustering of the tissue samples (gene signatures) on the basis of the genes; the other concerns the clustering of the genes on the basis of the tissues (gene profiles). The clusters of tissues so obtained in the first problem can play a useful role in the discovery and understanding of new subclasses of diseases. The clusters of genes obtained in the second problem can be used to search for genetic pathways or groups of genes that might be regulated together. Also, in the first problem, we may wish first to summarize the information in the very large number of genes by clustering them into groups (of hyperspherical shape), which can be represented by some metagenes, such as the group sample means. We can then carry out the clustering of the tissues in terms of these metagenes. We focus here on mixtures of normals to provide a model-based clustering of tissue samples (gene signatures) and of gene profiles.