Lin Zhang

Dr. Lin Zhang


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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1 October 2015 in Cancer Cell
Verified
Journal Article
Closed access
XYXiaohui Yan
Xiaohui Yan
ZHZhongyi Hu
Zhongyi Hu
YFYi Feng
Yi Feng
XHXiaowen Hu
Xiaowen Hu
JYJiao Yuan
Jiao Yuan
LZLin Zhang
Lin Zhang

13 May 2008 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
LZLin Zhang
Lin Zhang
Stefano VoliniaStefano Volinia
Stefano Volinia
TBTomas Bonome
Tomas Bonome
George CalinGeorge Calin
George Calin
JGJoel Greshock
Joel Greshock
GCGeorge Coukos
George Coukos
MicroRNAs (miRNAs) are an abundant class of small noncoding RNAs that function as negative gene regulators. miRNA deregulation is involved in the initiation and progression of human cancer; however, the underlying mechanism and its contributions to genome-wide transcriptional changes in cancer are still largely unknown. We studied miRNA deregulation in human epithelial ovarian cancer by integrative genomic approach, including miRNA microarray ( n = 106), array-based comparative genomic hybridization ( n = 109), cDNA microarray ( n = 76), and tissue array ( n = 504). miRNA expression is markedly down-regulated in malignant transformation and tumor progression. Genomic copy number loss and epigenetic silencing, respectively, may account for the down-regulation of ≈15% and at least ≈36% of miRNAs in advanced ovarian tumors and miRNA down-regulation contributes to a genome-wide transcriptional deregulation. Last, eight miRNAs located in the chromosome 14 miRNA cluster ( Dlk1-Gtl2 domain) were identified as potential tumor suppressor genes. Therefore, our results suggest that miRNAs may offer new biomarkers and therapeutic targets in epithelial ovarian cancer.

21 April 2010 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SDShan Deng
Shan Deng
XYXiaojun Yang
Xiaojun Yang
HLHeini Lassus
Heini Lassus
SLShun Liang
Shun Liang
SKSippy Kaur
Sippy Kaur
LZLin Zhang
Lin Zhang
Aldehyde dehydrogenase isoform 1 (ALDH1) has been proved useful for the identification of cancer stem cells. However, our knowledge of the expression and activity of ALDH1 in common epithelial cancers and their corresponding normal tissues is still largely absent. Therefore, we characterized ALDH1 expression in 24 types of normal tissues and a large collection of epithelial tumor specimens (six cancer types, n = 792) by immunohistochemical staining. Using the ALDEFUOR assay, ALDH1 activity was also examined in 16 primary tumor specimens and 43 established epithelial cancer cell lines. In addition, an ovarian cancer transgenic mouse model and 7 murine ovarian cancer cell lines were analyzed. We found that the expression levels and patterns of ALDH1 in epithelial cancers are remarkably distinct, and they correlate with their corresponding normal tissues. ALDH1 protein expression levels are positively correlated with ALDH1 enzymatic activity measured by ALDEFLUOR assay. Long-term in vitro culture doesn't significantly affect ALDH1 activity in epithelial tumor cells. Consistent with research on other cancers, we found that high ALDH1 expression is significantly associated with poor clinical outcomes in serous ovarian cancer patients (n = 439, p = 0.0036). Finally, ALDHbr tumor cells exhibit cancer stem cell properties and are resistant to chemotherapy. As a novel cancer stem cell marker, ALDH1 can be used for tumors whose corresponding normal tissues express ALDH1 in relatively restricted or limited levels such as breast, lung, ovarian or colon cancer.

1 September 2014 in Cancer Cell
Verified
Journal Article
Closed access
XHXiaowen Hu
Xiaowen Hu
YFYi Feng
Yi Feng
DZDongmei Zhang
Dongmei Zhang
SZSihai D. Zhao
Sihai D. Zhao
ZHZhongyi Hu
Zhongyi Hu
LZLin Zhang
Lin Zhang

10 March 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
CCChloe Chong
Chloe Chong
MMMarkus Müller
Markus Müller
HPHuiSong Pak
HuiSong Pak
DHDermot Harnett
Dermot Harnett
FHFlorian Huber
Florian Huber
MBMichal Bassani-Sternberg
Michal Bassani-Sternberg
Efforts to precisely identify tumor human leukocyte antigen (HLA) bound peptides capable of mediating T cell-based tumor rejection still face important challenges. Recent studies suggest that non-canonical tumor-specific HLA peptides derived from annotated non-coding regions could elicit anti-tumor immune responses. However, sensitive and accurate mass spectrometry (MS)-based proteogenomics approaches are required to robustly identify these non-canonical peptides. We present an MS-based analytical approach that characterizes the non-canonical tumor HLA peptide repertoire, by incorporating whole exome sequencing, bulk and single-cell transcriptomics, ribosome profiling, and two MS/MS search tools in combination. This approach results in the accurate identification of hundreds of shared and tumor-specific non-canonical HLA peptides, including an immunogenic peptide derived from an open reading frame downstream of the melanoma stem cell marker geneABCB5. These findings hold great promise for the discovery of previously unknown tumor antigens for cancer immunotherapy.

15 December 2008 in Cancer Research
Verified
Journal Article
Closed access
PDF file
NYNuo Yang
Nuo Yang
SKSippy Kaur
Sippy Kaur
Stefano VoliniaStefano Volinia
Stefano Volinia
JGJoel Greshock
Joel Greshock
HLHeini Lassus
Heini Lassus
LZLin Zhang
Lin Zhang
MicroRNAs (miRNA) are approximately 22-nucleotide noncoding RNAs that negatively regulate protein-coding gene expression in a sequence-specific manner via translational inhibition or mRNA degradation. Our recent studies showed that miRNAs exhibit genomic alterations at a high frequency and their expression is remarkably deregulated in ovarian cancer, strongly suggesting that miRNAs are involved in the initiation and progression of this disease. In the present study, we performed miRNA microarray to identify the miRNAs associated with chemotherapy response in ovarian cancer and found that let-7i expression was significantly reduced in chemotherapy-resistant patients (n = 69, P = 0.003). This result was further validated by stem-loop real-time reverse transcription-PCR (n = 62, P = 0.015). Both loss-of-function (by synthetic let-7i inhibitor) and gain-of-function (by retroviral overexpression of let-7i) studies showed that reduced let-7i expression significantly increased the resistance of ovarian and breast cancer cells to the chemotherapy drug, cis-platinum. Finally, using miRNA microarray, we found that decreased let-7i expression was significantly associated with the shorter progression-free survival of patients with late-stage ovarian cancer (n = 72, P = 0.042). This finding was further validated in the same sample set by stem-loop real-time reverse transcription-PCR (n = 62, P = 0.001) and in an independent sample set by in situ hybridization (n = 53, P = 0.049). Taken together, our results strongly suggest that let-7i might be used as a therapeutic target to modulate platinum-based chemotherapy and as a biomarker to predict chemotherapy response and survival in patients with ovarian cancer. [Cancer Res 2008;68(24):10307–14]