[PDF][PDF] The immune landscape of cancer
…, Y Mokrab, AM Newman, A Rao, K Chen, A Krasnitz… - Immunity, 2018 - cell.com
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising
33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we …
33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we …
Inferring tumor progression from genomic heterogeneity
N Navin, A Krasnitz, L Rodgers, K Cook, J Meth… - Genome …, 2010 - genome.cshlp.org
Cancer progression in humans is difficult to infer because we do not routinely sample
patients at multiple stages of their disease. However, heterogeneous breast tumors provide a …
patients at multiple stages of their disease. However, heterogeneous breast tumors provide a …
DLC1 is a chromosome 8p tumor suppressor whose loss promotes hepatocellular carcinoma
W Xue, A Krasnitz, R Lucito, R Sordella… - Genes & …, 2008 - genesdev.cshlp.org
Deletions on chromosome 8p are common in human tumors, suggesting that one or more
tumor suppressor genes reside in this region. Deleted in Liver Cancer 1 (DLC1) encodes a …
tumor suppressor genes reside in this region. Deleted in Liver Cancer 1 (DLC1) encodes a …
Genomic architecture characterizes tumor progression paths and fate in breast cancer patients
…, HKM Vollan, OC Lingjærde, A Krasnitz… - Science translational …, 2010 - science.org
Distinct molecular subtypes of breast carcinomas have been identified, but translation into
clinical use has been limited. We have developed two platform-independent algorithms to …
clinical use has been limited. We have developed two platform-independent algorithms to …
Strong association of de novo copy number mutations with autism
…, T Walsh, B Yamrom, S Yoon, A Krasnitz… - Science, 2007 - science.org
We tested the hypothesis that de novo copy number variation (CNV) is associated with autism
spectrum disorders (ASDs). We performed comparative genomic hybridization (CGH) on …
spectrum disorders (ASDs). We performed comparative genomic hybridization (CGH) on …
[PDF][PDF] Machine learning identifies stemness features associated with oncogenic dedifferentiation
Cancer progression involves the gradual loss of a differentiated phenotype and acquisition
of progenitor and stem-cell-like features. Here, we provide novel stemness indices for …
of progenitor and stem-cell-like features. Here, we provide novel stemness indices for …
Organoid profiling identifies common responders to chemotherapy in pancreatic cancer
Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often
ineffective, and predictive biomarkers to guide treatment are urgently needed. We …
ineffective, and predictive biomarkers to guide treatment are urgently needed. We …
[HTML][HTML] An oncogenomics-based in vivo RNAi screen identifies tumor suppressors in liver cancer
Cancers are highly heterogeneous and contain many passenger and driver mutations. To
functionally identify tumor suppressor genes relevant to human cancer, we compiled pools of …
functionally identify tumor suppressor genes relevant to human cancer, we compiled pools of …
[HTML][HTML] Ordered and deterministic cancer genome evolution after p53 loss
Although p53 inactivation promotes genomic instability 1 and presents a route to malignancy
for more than half of all human cancers 2 , 3 , the patterns through which heterogenous …
for more than half of all human cancers 2 , 3 , the patterns through which heterogenous …
Novel patterns of genome rearrangement and their association with survival in breast cancer
…, M Riggs, E Leibu, D Esposito, J Alexander… - Genome …, 2006 - genome.cshlp.org
Representational Oligonucleotide Microarray Analysis (ROMA) detects genomic amplifications
and deletions with boundaries defined at a resolution of ∼50 kb. We have used this …
and deletions with boundaries defined at a resolution of ∼50 kb. We have used this …