Results 151 to 160 of about 9,899,312 (276)

Power and sample size calculation for incremental net benefit in cost effectiveness analyses with applications to trials conducted by the Canadian Cancer Trials Group. [PDF]

BMC Med Res Methodol, 2023
Everest L, Chen BE, Hay AE, Cheung MC, Chan KKW.   +4 more
europepmc   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Sample size calculation for randomized trials via inverse probability of response weighting when outcome data are missing at random. [PDF]

Stat Med, 2023
Harrison LJ, Wang R.
europepmc   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Sample size calculation for the therapeutic equivalence Problem

, 2006
A method is proposed for the sample size calculation in the case of therapeutic equivalence of two pharmaceuticals, when the decision is based on post-treatment differences and the post-treatment values are dependent on the pretreatment ones.
Katerelos, P.C., Bassiakos, Y.C.
core   +1 more source

Sample Size Calculation for Clinical Trials of Medical Decision Support Systems with Binary Outcome. [PDF]

Sovrem Tekhnologii Med, 2022
Rebrova OY, Gusev AV.
europepmc   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Learning Methodological Lessons from Exemplar Studies in Nephrology: PEXIVAS and Sample Size Calculation. [PDF]

Kidney360, 2022
Sandys V, Sexton DJ, Sexton DJ.
europepmc   +1 more source

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

Molecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David, Arthur Karaulic, Audrey Bennetot, Clémence Fournier, Quentin Odet, Arthur Gouraud, Isabelle Bourget, Cédric Gaggioli, Sandy Giuliano, Frédéric Luciano, Olivier Léger, Zaki Sellam, Gilles Pagès   +12 more
wiley   +1 more source

Sample size calculation for training ensemble machine learning models on health data. [PDF]

Patterns (N Y)
Mitsakakis N, Liu D, Walters T, El Emam K.   +3 more
europepmc   +1 more source