Jin Qian

Dr. Jin Qian

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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30 November 2014 in Cancer Research
Verified
Journal Article
Open access
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YHYe Hu
Ye Hu
JWJilin Wang
Jilin Wang
JQJin Qian
Jin Qian
XKXuan Kong
Xuan Kong
JTJieting Tang
Jieting Tang
JFJing-Yuan Fang
Jing-Yuan Fang
It is increasingly evident that long noncoding RNAs (lncRNA) have causative roles in carcinogenesis. In this study, we report findings implicating a novel lncRNA in gastric cancer, termed GAPLINC (gastric adenocarcinoma predictive long intergenic noncoding RNA), based on the use of global microarray and in situ hybridization (ISH) analyses to identify aberrantly expressed lncRNA in human gastric cancer specimens. GAPLINC is a 924-bp-long lncRNA that is highly expressed in gastric cancer tissues. GAPLINC suppression and with gene expression profiling in gastric cancer cells revealed alterations in cell migration pathways, with CD44 expression the most highly correlated. Manipulating GAPLINC expression altered CD44 mRNA abundance and the effects of GAPLINC on cell migration and proliferation were neutralized by suppressing CD44 expression. Mechanistic investigations revealed that GAPLINC regulates CD44 as a molecular decoy for miR211-3p, a microRNA that targets both CD44 and GAPLINC. Tissue ISH analysis suggested that GAPLINC overexpression defines a subgroup of patients with gastric cancer with very poor survival. Taken together, our results identify a noncoding regulatory pathway for the CD44 oncogene, shedding new light on the basis for gastric cancer cell invasiveness. Cancer Res; 74(23); 6890–902. ©2014 AACR.

1 November 2017 in Cancer Discovery
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Journal Article
Closed access
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CSChunying Song
Chunying Song
MPMarco Piva
Marco Piva
LSLu Sun
Lu Sun
AHAayoung Hong
Aayoung Hong
GMGatien Moriceau
Gatien Moriceau
RLRoger S. Lo
Roger S. Lo
Treatment of advanced BRAFV600-mutant melanoma using a BRAF inhibitor or its combination with a MEK inhibitor typically elicits partial responses. We compared the transcriptomes of patient-derived tumors regressing on MAPK inhibitor (MAPKi) therapy against MAPKi-induced temporal transcriptomic states in human melanoma cell lines or murine melanoma in immune-competent mice. Despite heterogeneous dynamics of clinical tumor regression, residual tumors displayed highly recurrent transcriptomic alterations and enriched processes, which were also observed in MAPKi-selected cell lines (implying tumor cell–intrinsic reprogramming) or in bulk mouse tumors (and the CD45-negative or CD45-positive fractions, implying tumor cell–intrinsic or stromal/immune alterations, respectively). Tumor cell–intrinsic reprogramming attenuated MAPK dependency, while enhancing mesenchymal, angiogenic, and IFN-inflammatory features and growth/survival dependence on multi-RTKs and PD-L2. In the immune compartment, PD-L2 upregulation in CD11c+ immunocytes drove the loss of T-cell inflammation and promoted BRAFi resistance. Thus, residual melanoma early on MAPKi therapy already displays potentially exploitable adaptive transcriptomic, epigenomic, immune-regulomic alterations. Significance: Incomplete MAPKi-induced melanoma regression results in transcriptome/methylome-wide reprogramming and MAPK-redundant escape. Although regressing/residual melanoma is highly T cell–inflamed, stromal adaptations, many of which are tumor cell–driven, could suppress/eliminate intratumoral T cells, reversing tumor regression. This catalog of recurrent alterations helps identify adaptations such as PD-L2 operative tumor cell intrinsically and/or extrinsically early on therapy. Cancer Discov; 7(11); 1248–65. ©2017 AACR. See related commentary by Haq, p. 1216. This article is highlighted in the In This Issue feature, p. 1201

11 April 2014 in Oncotarget
Verified
Journal Article
Open access
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YHYe Hu
Ye Hu
HCHao-Yan Chen
Hao-Yan Chen
CYChen-Yang Yu
Chen-Yang Yu
JXJie Xu
Jie Xu
JWJi-Lin Wang
Ji-Lin Wang
JFJing-Yuan Fang
Jing-Yuan Fang
Increasing evidence suggests long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, however, few related lncRNA signatures have been established for prediction of cancer prognosis. We aimed to develop a lncRNA signature to improve prognosis prediction of colorectal cancer (CRC). Using a lncRNA-mining approach, we performed lncRNA expression profiling in large CRC cohorts from Gene Expression Ominus (GEO), including GSE39582 test series(N=436), internal validation series (N=117); and two independent validation series GSE14333 (N=197) and GSE17536(N=145). We established a set of six lncRNAs that were significantly correlated with the disease free survival (DFS) in the test series. Based on this six-lncRNA signature, the test series patients could be classified into high-risk and low-risk subgroups with significantly different DFS (HR=2.670; P<0.0001). The prognostic value of this six-lncRNA signature was confirmed in the internal validation series and another two independent CRC sets. Gene set enrichment analysis (GSEA) analysis suggested that risk score positively correlated with several cancer metastasis related pathways. Functional experiments demonstrated three dysregulated lncRNAs, AK123657, BX648207 and BX649059 were required for efficient invasion and proliferation suppression in CRC cell lines. Our results might provide an efficient classification tool for clinical prognosis evaluation of CRC.

13 August 2024 in Cancer Discovery
Verified
Journal Article
Closed access
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HKHiroki Kobayashi
Hiroki Kobayashi
TITadashi IIDA
Tadashi IIDA
YOYosuke Ochiai
Yosuke Ochiai
EMErmanno Malagola
Ermanno Malagola
XZXiaofei Zhi
Xiaofei Zhi
TWTimothy Wang
Timothy Wang
Cancer-associated fibroblasts (CAF) and nerves, components of the tumor microenvironment, have each been shown to directly promote gastrointestinal cancers. However, it remains unknown whether these cells interact with each other to regulate cancer progression. We found that in colorectal cancer, norepinephrine induces ADRB2 (β2-adrenergic receptor)–dependent nerve growth factor (NGF) secretion from CAFs, which in turn increases intratumor sympathetic innervation and norepinephrine accumulation. Adrenergic stimulation accelerates colorectal cancer growth through ADRA2A/Gi-mediated activation of Yes-associated protein (YAP). NGF from CAFs directly enhances colorectal cancer cell growth via the phosphatidylinositol-3-kinase/AKT pathway. Treatment with a tropomyosin receptor kinase (TRK) inhibitor decreased YAP and AKT activation and colorectal cancer progression in mice. In human colorectal cancer, high NGF expression is associated with mesenchymal-like tumor subtype and poor patient survival. These findings suggest a central role for reciprocal CAF–nerve cross-talk in promoting colorectal cancer progression. Blocking this feedforward loop with a TRK inhibitor may represent a potential therapeutic approach for colorectal cancer. Significance: Our work demonstrates that the bidirectional interplay between sympathetic nerves and NGF-expressing CAFs drives colorectal tumorigenesis. This study also offers novel mechanistic insights into catecholamine action in colorectal cancer. Inhibiting the neuro-mesenchymal interaction by TRK blockade could be a potential strategy for treating colorectal cancer.

30 June 2015 in Scientific Reports
Verified
Journal Article
Open access
LLLunxi Liang
Lunxi Liang
LALuoyan Ai
Luoyan Ai
JQJin Qian
Jin Qian
JFJingyuan Fang
Jingyuan Fang
JXJie Xu
Jie Xu
The gut microbiota is commonly referred to as a hidden organ due to its pivotal effects on host physiology, metabolism, nutrition and immunity. The gut microbes may be shaped by environmental and host genetic factors and previous studies have focused on the roles of protein-coding genes. Here we show a link between long non-coding RNA (lncRNA) expression and gut microbes. By repurposing exon microarrays and comparing the lncRNA expression profiles between germ-free, conventional and different gnotobiotic mice, we revealed subgroups of lncRNAs that were specifically enriched in each condition. A nearest shrunken centroid methodology was applied to obtain lncRNA-based signatures to identify mice in different conditions. The lncRNA-based prediction model successfully identified different gnotobiotic mice from conventional and germ-free mice and also discriminated mice harboring transplanted microbes from fecal samples of mice or zebra fishes. To achieve optimal prediction accuracy, fewer lncRNAs were required in the prediction model than protein-coding genes. Taken together, our study demonstrated the effecacy of lncRNA expression profiles in discriminating the types of microbes in the gut. These results also provide a resource of gut microbe-associated lncRNAs for the development of lncRNA biomarkers and the identification of functional lncRNAs in host-microbes interactions.

27 February 2014 in Scientific Reports
Verified
Journal Article
Open access
JXJie Xu
Jie Xu
JQJin Qian
Jin Qian
YHYe Hu
Ye Hu
JWJilin Wang
Jilin Wang
XZXiaolin Zhou
Xiaolin Zhou
JFJing-Yuan Fang
Jing-Yuan Fang
Mutations of p53 cause not only loss of wild-type function but also gain of novel oncogenic functions (GOF). Accumulating evidence suggest that p53 hotspot mutations may confer different types and magnitudes of GOF. Here we add support to the heterogeneity of mutant p53 GOF by showing their unequal association with early tumor onset and spectrum of tumor types. We stratified Li-Fraumeni syndrome (LFS) patients according to carried p53 mutations using data from the updated p53 germline mutation database. When compared to loss-of-function nonsense mutations, the R282 GOF mutation associated with significantly earlier onset, while the G245 mutation displayed later onset. The R175, Y220, R248, R282 and nonsense mutations showed preferential distribution in certain cancer types, which varied in the age of onset. Multivariate COX regression model adjusting for cancer types and patient sex suggested that nonsense and G245 mutations had lower risk than R248 for early onset, suggesting unequal strengths of mutant GOF effects. Our results suggest that Li-Fraumeni syndrome can be subdivided into subtypes linking to unequal GOF effects of p53 mutations. These findings have potential implications in the prevention, early detection and targeted treatment of LFS tumors.