Samir M. Hanash

Dr. Samir M. Hanash

Department of Clinical Cancer Prevention, Division of Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2016 in Cancer Research
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Journal Article
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PTPeiling Tsou
Peiling Tsou
HKHiroyuki Katayama
Hiroyuki Katayama
EOEdwin J. Ostrin
Edwin J. Ostrin
Samir M. HanashSamir M. Hanash
Samir M. Hanash
There is increasing evidence supporting a role for B cells in tumor immunology. Paraneoplastic syndromes occurring before a cancer diagnosis have pointed to the potential for harnessing the humoral immune response for early cancer detection. The presence of tumor-infiltrating B lymphocytes has been linked to a favorable clinical outcome in many types of cancers. However, B cells represent a heterogeneous population with functionally distinct subsets, and the balance among subtypes impacts tumor development. Here, we review recent findings related to B cells and to the humoral immune response in cancer and their translational significance. Cancer Res; 76(19); 5597–601. ©2016 AACR.

2 March 2011 in Nature Reviews Clinical Oncology
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Journal Article
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Samir M. HanashSamir M. Hanash
Samir M. Hanash
CBChristina S. Baik
Christina S. Baik
OKOlli Kallioniemi
Olli Kallioniemi

4 January 2021 in Nature Medicine
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Journal Article
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RWRuiping Wang
Ruiping Wang
MDMinghao Dang
Minghao Dang
KHKazuto Harada
Kazuto Harada
GHGuangchun Han
Guangchun Han
FWFang Wang
Fang Wang
LWLinghua Wang
Linghua Wang

15 May 2003
Verified
Journal Article
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CLCraig D Logsdon
Craig D Logsdon
DSDiane M Simeone
Diane M Simeone
CBCharles Binkley
Charles Binkley
TAThiruvengadam Arumugam
Thiruvengadam Arumugam
JGJoel K Greenson
Joel K Greenson
Samir M. HanashSamir M. Hanash
Samir M. Hanash

10 June 2008 in PLOS Medicine
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Journal Article
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VFVitor Marcel Faça
Vitor Marcel Faça
KSKenneth S Song
Kenneth S Song
HWHong Wang
Hong Wang
QZQing Zhang
Qing Zhang
AKAlexei L Krasnoselsky
Alexei L Krasnoselsky
Samir M. HanashSamir M. Hanash
Samir M. Hanash
The complexity and heterogeneity of the human plasma proteome have presented significant challenges in the identification of protein changes associated with tumor development. Refined genetically engineered mouse (GEM) models of human cancer have been shown to faithfully recapitulate the molecular, biological, and clinical features of human disease. Here, we sought to exploit the merits of a well-characterized GEM model of pancreatic cancer to determine whether proteomics technologies allow identification of protein changes associated with tumor development and whether such changes are relevant to human pancreatic cancer. Plasma was sampled from mice at early and advanced stages of tumor development and from matched controls. Using a proteomic approach based on extensive protein fractionation, we confidently identified 1,442 proteins that were distributed across seven orders of magnitude of abundance in plasma. Analysis of proteins chosen on the basis of increased levels in plasma from tumor-bearing mice and corroborating protein or RNA expression in tissue documented concordance in the blood from 30 newly diagnosed patients with pancreatic cancer relative to 30 control specimens. A panel of five proteins selected on the basis of their increased level at an early stage of tumor development in the mouse was tested in a blinded study in 26 humans from the CARET (Carotene and Retinol Efficacy Trial) cohort. The panel discriminated pancreatic cancer cases from matched controls in blood specimens obtained between 7 and 13 mo prior to the development of symptoms and clinical diagnosis of pancreatic cancer. Our findings indicate that GEM models of cancer, in combination with in-depth proteomic analysis, provide a useful strategy to identify candidate markers applicable to human cancer with potential utility for early detection.

30 April 2015 in Cancer Research
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Journal Article
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MSMark J. Schliekelman
Mark J. Schliekelman
ATAyumu Taguchi
Ayumu Taguchi
JZJun Zhu
Jun Zhu
XDXudong Dai
Xudong Dai
JRJaime Rodriguez
Jaime Rodriguez
Samir M. HanashSamir M. Hanash
Samir M. Hanash
Epithelial-to-mesenchymal transition (EMT) is a key process associated with tumor progression and metastasis. To define molecular features associated with EMT states, we undertook an integrative approach combining mRNA, miRNA, DNA methylation, and proteomic profiles of 38 cell populations representative of the genomic heterogeneity in lung adenocarcinoma. The resulting data were integrated with functional profiles consisting of cell invasiveness, adhesion, and motility. A subset of cell lines that were readily defined as epithelial or mesenchymal based on their morphology and E-cadherin and vimentin expression elicited distinctive molecular signatures. Other cell populations displayed intermediate/hybrid states of EMT, with mixed epithelial and mesenchymal characteristics. A dominant proteomic feature of aggressive hybrid cell lines was upregulation of cytoskeletal and actin-binding proteins, a signature shared with mesenchymal cell lines. Cytoskeletal reorganization preceded loss of E-cadherin in epithelial cells in which EMT was induced by TGFβ. A set of transcripts corresponding to the mesenchymal protein signature enriched in cytoskeletal proteins was found to be predictive of survival in independent datasets of lung adenocarcinomas. Our findings point to an association between cytoskeletal and actin-binding proteins, a mesenchymal or hybrid EMT phenotype and invasive properties of lung adenocarcinomas. Cancer Res; 75(9); 1789–800. ©2015 AACR.