Image_1_Identification and validation of an immunological microenvironment signature and prediction model for epstein-barr virus positive lymphoma: Implications for immunotherapy.tif

BackgroundEpstein-Barr virus (EBV) is considered a carcinogenic virus, which is associated with high risk for poor prognosis in lymphoma patients, and there has been especially no satisfying and effective treatment for EBV+ lymphoma. We aimed to identify the immunological microenvironment molecular signatures which lead to the poor prognosis of EBV+ lymphoma patients.MethodsDifferential genes were screened with microarray data from the GEO database (GSE38885, GSE34143 and GSE13996). The data of lymphoid neoplasm diffuse large B-cell lymphoma (DLBC) from the TCGA database and GSE4475 were used to identify the prognostic genes. The data of GSE38885, GSE34143, GSE132929, GSE58445 and GSE13996 were used to eluate the immune cell infiltration. Formalin-fixed, paraffin-embedded tissue was collected for Real Time Quantitative PCR from 30 clinical samples, including 15 EBV+ and 15 EBV- lymphoma patients.ResultsFour differential genes between EBV+ and EBV- lymphoma patients were screened out with the significance of the survival and prognosis of lymphoma, including CHIT1, SIGLEC15, PLA2G2D and TMEM163. Using CIBERSORT to evaluate immune cell infiltration, we found the infiltration level of macrophages was significantly different between EBV+ and EBV- groups and was closely related to different genes. Preliminary clinical specimen verification identified that the expression levels of CHIT1 and TMEM163 were different between EBV+ and EBV- groups.ConclusionsOur data suggest that differences in expression levels of CHIT1 and TMEM163 and macrophage infiltration levels may be important drivers of poor prognosis of EBV+ lymphoma patients. These hub genes may provide new insights into the prognosis and therapeutic target for EBV+ lymphoma.</p

Table_1_Identification and validation of an immunological microenvironment signature and prediction model for epstein-barr virus positive lymphoma: Implications for immunotherapy.xlsx

BackgroundEpstein-Barr virus (EBV) is considered a carcinogenic virus, which is associated with high risk for poor prognosis in lymphoma patients, and there has been especially no satisfying and effective treatment for EBV+ lymphoma. We aimed to identify the immunological microenvironment molecular signatures which lead to the poor prognosis of EBV+ lymphoma patients.MethodsDifferential genes were screened with microarray data from the GEO database (GSE38885, GSE34143 and GSE13996). The data of lymphoid neoplasm diffuse large B-cell lymphoma (DLBC) from the TCGA database and GSE4475 were used to identify the prognostic genes. The data of GSE38885, GSE34143, GSE132929, GSE58445 and GSE13996 were used to eluate the immune cell infiltration. Formalin-fixed, paraffin-embedded tissue was collected for Real Time Quantitative PCR from 30 clinical samples, including 15 EBV+ and 15 EBV- lymphoma patients.ResultsFour differential genes between EBV+ and EBV- lymphoma patients were screened out with the significance of the survival and prognosis of lymphoma, including CHIT1, SIGLEC15, PLA2G2D and TMEM163. Using CIBERSORT to evaluate immune cell infiltration, we found the infiltration level of macrophages was significantly different between EBV+ and EBV- groups and was closely related to different genes. Preliminary clinical specimen verification identified that the expression levels of CHIT1 and TMEM163 were different between EBV+ and EBV- groups.ConclusionsOur data suggest that differences in expression levels of CHIT1 and TMEM163 and macrophage infiltration levels may be important drivers of poor prognosis of EBV+ lymphoma patients. These hub genes may provide new insights into the prognosis and therapeutic target for EBV+ lymphoma.</p

DataSheet_1_Identification and validation of an immunological microenvironment signature and prediction model for epstein-barr virus positive lymphoma: Implications for immunotherapy.pdf

BackgroundEpstein-Barr virus (EBV) is considered a carcinogenic virus, which is associated with high risk for poor prognosis in lymphoma patients, and there has been especially no satisfying and effective treatment for EBV+ lymphoma. We aimed to identify the immunological microenvironment molecular signatures which lead to the poor prognosis of EBV+ lymphoma patients.MethodsDifferential genes were screened with microarray data from the GEO database (GSE38885, GSE34143 and GSE13996). The data of lymphoid neoplasm diffuse large B-cell lymphoma (DLBC) from the TCGA database and GSE4475 were used to identify the prognostic genes. The data of GSE38885, GSE34143, GSE132929, GSE58445 and GSE13996 were used to eluate the immune cell infiltration. Formalin-fixed, paraffin-embedded tissue was collected for Real Time Quantitative PCR from 30 clinical samples, including 15 EBV+ and 15 EBV- lymphoma patients.ResultsFour differential genes between EBV+ and EBV- lymphoma patients were screened out with the significance of the survival and prognosis of lymphoma, including CHIT1, SIGLEC15, PLA2G2D and TMEM163. Using CIBERSORT to evaluate immune cell infiltration, we found the infiltration level of macrophages was significantly different between EBV+ and EBV- groups and was closely related to different genes. Preliminary clinical specimen verification identified that the expression levels of CHIT1 and TMEM163 were different between EBV+ and EBV- groups.ConclusionsOur data suggest that differences in expression levels of CHIT1 and TMEM163 and macrophage infiltration levels may be important drivers of poor prognosis of EBV+ lymphoma patients. These hub genes may provide new insights into the prognosis and therapeutic target for EBV+ lymphoma.</p

C4d deposition in the walls of glomerular capillaries of allograft.

<p>Immunofluorescent microscopic magnification×400.</p

HLA/MICA typing results.

<p>HLA/MICA typing results.</p

Antibodies against HLA/MICA antigens in pre- and post-transplant serum samples.

<p>IgG antibodies against HLA class I and II antigens and MICA antigens were measured by single antigen Luminex beads arrays. MFI values represent the quantitation of alloantibodies detected. (A) The donor’s and recipient’s HLA antigen types and the positive reacted HLA antigens (others) with test serum samples are labeled as grouped.The MFI values of antibodies detected from patient serum before (gray bars) and after the first transplant (solid bar) are given. (B) Anti-MICA antibodies were detected using 11 common MICA antigens. MICA001, MICA002, MICA007, MICA012, MICA017, and MICA018, all from the MICA-G1 antigen group were present in pre- and post-first transplant patient sera; other antigens tested were negative. DSA to the antigen produced by MICA*018 allele is indicated with an arrow. C1q-PE, rather than goat anti human IgG conjugated with PE, was used to demonstrate the complement fix (C1q, white bars).</p

MICA expressed on HUVEC cell surfaces is the target for anti-MICA antibodies.

<p>(A) HUVECs were freshly isolated from five umbilical cord samples. Cells were stained with mAb W6/32 for HLA class I antigens (solid profile), 6B3 for MICA antigens (open profile; dark line) and normal mouse IgG as control (open profile; light line). (B). HUVECs were incubated with normal human serum (NHS), pooled PRA+ sera (POS), or patient serum (after first transplant, with platelet absorption). Cytotoxicity is reported as percent lysis.</p

Pressure-Stabilized Superconductive Ionic Tantalum Hydrides

High-pressure structures of tantalum hydrides were investigated over a wide pressure range of 0–300 GPa by utilizing evolutionary structure searches. TaH and TaH₂ were found to be thermodynamically stable over this entire pressure range, whereas TaH₃, TaH₄, and TaH₆ become thermodynamically stable at pressures greater than 50 GPa. The dense <i>Pnma</i> (TaH₂), <i>R</i>3̅<i>m</i> (TaH₄), and <i>Fdd</i>2 (TaH₆) compounds possess metallic character with a strong ionic feature. For the highly hydrogen-rich phase of <i>Fdd</i>2 (TaH₆), a calculation of electron–phonon coupling reveals the potential high-<i>T</i>_c superconductivity with an estimated value of 124.2–135.8 K

Multivalley Superconductivity in Monolayer Transition Metal Dichalcogenides

In transition metal dichalcogenides (TMDs), Ising superconductivity with an antisymmetric spin texture on the Fermi surface has attracted wide interest due to the exotic pairing and topological properties. However, it is not clear whether the Q valley with a giant spin splitting is involved in the superconductivity of heavily doped semiconducting 2H-TMDs. Here by taking advantage of a high-quality monolayer WS2 on hexagonal boron nitride flakes, we report an ionic-gating induced superconducting dome with a record high critical temperature of ∼6 K, accompanied by an emergent nonlinear Hall effect. The nonlinearity indicates the development of an additional high-mobility channel, which (corroborated by first principle calculations) can be ascribed to the population of Q valleys. Thus, multivalley population at K and Q is suggested to be a prerequisite for developing superconductivity. The involvement of Q valleys also provides insights to the spin textured Fermi surface of Ising superconductivity in the large family of transition metal dichalcogenides