Results 101 to 110 of about 7,836,429 (310)

The Cure: Making a game of gene selection for breast cancer survival prediction [PDF]

, 2014
Motivation: Molecular signatures for predicting breast cancer prognosis could greatly improve care through personalization of treatment. Computational analyses of genome-wide expression datasets have identified such signatures, but these signatures leave
Good, Benjamin M., Griffith, Obi L., Loguercio, Salvatore, Nanis, Max, Su, Andrew I., Wu, Chunlei   +5 more
core   +4 more sources

Integrative systems‐level analysis reveals a contextual crosstalk between hypoxia and global metabolism in human breast tumors

Molecular Oncology, EarlyView.
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam, Salem Chouaib, Mohammad Askandar Iqbal   +2 more
wiley   +1 more source

The immunological relationship between filtrable agent, Salmonella and murine leukosis [PDF]

, 1977
Salmonella typhimurium was invariably isolated from our J strain murine leukosis. Immunization of D103 mice with either inactivated Salmonella typhimurium or the cell-free extract of leukosis inhibited the transplantation of leukosis.
Hamazaki, Yukio
core   +1 more source

Obesity alters the fitness of peritumoral adipose tissue, exacerbating tumor invasiveness in renal cancer through the induction of ADAM12 and CYP1B1

Molecular Oncology, EarlyView.
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad, Caterina Miro, Annarita Nappi, Francesco Del Giudice, Annunziata Gaetana Cicatiello, Serena Sagliocchi, Lucia Acampora, Federica Restolfer, Melania Murolo, Emery Di Cicco, Federico Capone, Ciro Imbimbo, Monica Dentice, Felice Crocetto   +13 more
wiley   +1 more source

Comparative analysis of diagnostic performance, feasibility and cost of different test-methods for thyroid nodules with indeterminate cytology [PDF]

, 2017
Since it is impossible to recognize malignancy at fine needle aspiration (FNA) cytology in indeterminate thyroid nodules, surgery is recommended for all of them. However, cancer rate at final histology is < 30%.
AIOM-AIRTUM Working Group, AIRTUM Working Group, Alexander, Alexander, Ali, Altman, Attia, Baldari, Baloch, Bartolazzi, Bartolazzi, Bartolazzi, Beaudenon-Huibregtse, Bevilacqua, Beyer, Biggerstaff, Birkeland, Bongiovanni, Burch, Cabatu, Carpi, Carty, Chhieng, Choi, Chung, Chung, Corsello, Cvejić, D'Armiento, da Silva Pinhal, de Geus-Oei, de Geus-Oei, degli Uberti, Eszlinger, Evans, Evans, Fadda, Fadda, Fox, Gharib, Girelli, Gupta, Gupta, Gupta, Heffron, Jo, Kebebew, Kennedy, Kennedy, Khanafshar, Kwak, Labourier, Ladenson, Larsson, Lotan, Mazzaferri, McGee, McGregor, Michael, Moher, Moley, Montori, Newbold, Niederle, Nikiforova, Nikiforova, Nikiforova, Nishino, Oh, Orlandi, Osman, Paik, Papotti, Paschke, Paschke, Paschke, Pastorino, Payne, Perros, Plotly Technologies Inc., Puxeddu, R Core Team, Rabinovich, Rindi, Rosenthal, Rosenthal, Rugge, Sadler, Saxe, Schachter, Schlumberger, Schmid, Schreyögg, Sciacchitano, Sciacchitano, Shah, Shi, Shong, Siperstein, Sosa, Stephen, Steward, Teng, Tonacchera, van de Velde, Verburg, Veselic, Vierhapper, Vitti, Vitti, Vitti, Wasserman, Westra, Wiseman, Woeber, Xing, Yu, Zantut-Wittmann, Zatelli, Zeiger   +119 more
core   +2 more sources

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Molecular study of CALR gene mutations in children with leukemia hospitalized in Kerman hospitals [PDF]

بیولوژی کاربردی, 2020
Background: CALR mutation has recently been identified in myeloproliferative neoplasms, but little is known about the occurrence of this mutation in Iran.
Farzaneh Parnak, Babak Kheirkhah
doaj  

Detection rate for ESR1 mutations is higher in circulating‐tumor‐cell‐derived genomic DNA than in paired plasma cell‐free DNA samples as revealed by ddPCR

Molecular Oncology, EarlyView.
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou, Aliki Ntzifa, Victoria Tserpeli, Ioanna Balgkouranidou, Alkistis Papatheodoridi, Evangelia Razis, Helena Linardou, Christos Papadimitriou, Amanda Psyrri, Flora Zagouri, Stylianos Kakolyris, Evi Lianidou   +11 more
wiley   +1 more source

P632: ORAL AND GUT MICROBIAL DIVERSITY CORRELATES WITH PROGNOSTIC FEATURES IN CHRONIC LYMPHOCYTIC LEUKEMIA

HemaSphere, 2022
M. Szelest, M. Paziewska, M. Kiełbus, M. Masternak, J. Zaleska, E. Wawrzyniak, E. Kalicińska, P. Jabłonowska, T. Wróbel, A. Wolska-Washer, J. Z. Błoński, K. Giannopoulos   +11 more
doaj   +1 more source

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

BMC Bioinformatics, 2019
Background Predicting meaningful miRNA-disease associations (MDAs) is costly. Therefore, an increasing number of researchers are beginning to focus on methods to predict potential MDAs.
Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng   +4 more
doaj   +1 more source