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FlowCT for the analysis of large immunophenotypic data sets and biomarker disco...

Botta, Cirino; Maia, Catarina Micaela Cunha; Garcés, Juan-José; Termini, Rosalinda; Perez, Cristina; Manrique, Irene; Burgos, Leire; Zabaleta, Aintzane

Large-scale immune monitoring is becoming routinely used in clinical trials to identify determinants of treatment responsiveness, particularly to immunotherapies. Flow cytometry remains one of the most versatile and high throughput approaches for single-cell analysis; however, manual interpretation of multidimensional data poses a challenge when attempting to capture full cellular diversity and provide reproduc...


Corrigendum: Genome-wide association study identifies variants at 16p13 associa...

Ziv, Elad; Dean, Eric; Hu, Donglei; Martino, Alessandro; Serie, Daniel; Curtin, Karen; Campa, Daniele; Aftab, Blake; Bracci, Paige; Buda, Gabriele

[Excerpt] In this Article, members of the UCSF cohort who had been alive for longer than two years were inadvertently included in the data presented in Table 3. USCF/old treatments should have 109 patients with a hazard ratio of 3.35 and a P value of 0.00028 instead of the 124 patients with a hazard ratio of 3.37 and a P value of 0.00026. The USCF/new patients should have 187 patients with a hazard ratio of 3.5...


Genome-wide association study identifies variants at 16p13 associated with surv...

Ziv, Elad; Dean, Eric; Hu, Donglei; Martino, Alessandro; Serie, Daniel; Curtin, Karen; Campa, Daniele; Aftab, Blake; Bracci, Paige; Buda, Gabriele

Here we perform the first genome-wide association study (GWAS) of multiple myeloma (MM) survival. In a meta-analysis of 306 MM patients treated at UCSF and 239 patients treated at the Mayo clinic, we find a significant association between SNPs near the gene FOPNL on chromosome 16p13 and survival (rs72773978; P=6 × 10(-10)). Patients with the minor allele are at increased risk for mortality (HR: 2.65; 95% CI: 1....


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