Shushu Song

Dr. Shushu Song


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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23 January 2020 in Cancer Science
Verified
Journal Article
Open access
PDF file
MTMengxin Tian
Mengxin Tian
WLWeiren Liu
Weiren Liu
CTChenyang Tao
Chenyang Tao
ZTZheng Tang
Zheng Tang
YZYufu Zhou
Yufu Zhou
YSYinghong Shi
Yinghong Shi
Intrahepatic cholangiocarcinoma (ICC) remains a highly heterogeneous disease with poor prognosis. Tumor‐infiltrating lymphocytes were predictive in various cancers, but their prognostic value in ICC is less clear. A total of 168 ICC patients who had received liver resection were enrolled and assigned to the derivation cohort. Sixteen immune markers in tumor and peritumor regions were examined by immunohistochemistry. A least absolute shrinkage and selection operator model was used to identify prognostic markers and to establish an immune signature for ICC (ISICC). An ISICC‐applied prediction model was built and validated in another independent dataset. Five immune features, including CD3peritumor (P), CD57P, CD45RAP, CD66bintratumoral (T) and PD‐L1P, were identified and integrated into an individualized ISICC for each patient. Seven prognostic predictors, including total bilirubin, tumor numbers, CEA, CA19‐9, GGT, HBsAg and ISICC, were integrated into the final model. The C‐index of the ISICC‐applied prediction model was 0.719 (95% CI, 0.660‐0.777) in the derivation cohort and 0.667 (95% CI, 0.581‐0.732) in the validation cohort. Compared with the conventional staging systems, the new model presented better homogeneity and a lower Akaike information criteria value in ICC. The ISICC‐applied prediction model may provide a better prediction performance for the overall survival of patients with resectable ICC in clinical practice.

3 March 2020 in Oncology Letters
Verified
Journal Article
Open access
PDF file
SSShushu Song
Shushu Song
JYJia‑Fu Ying
Jia‑Fu Ying
YZYou‑Ni Zhang
You‑Ni Zhang
HPHong‑Ying Pan
Hong‑Ying Pan
XHXiang‑Lei He
Xiang‑Lei He
XMXiao‑Zhou Mou
Xiao‑Zhou Mou
The role of forkhead box O3 (FOXO3) as a tumor suppressor gene and its association with the human lifespan is well documented. However, several studies have indicated that high expression of FOXO3 is also significantly associated with tumorigenesis. The aim of the present study was to determine the clinical significance of FOXO3 in the development and prognosis of hepatocellular carcinoma (HCC). mRNA expression data of FOXO3 from The Cancer Genome Atlas database was analyzed through the UALCAN online tool to compare the expression of FOXO3 between HCC and normal liver tissues. Subsequently, the expression of FOXO3 at the protein level was investigated via immunohistochemical staining of 314 HCC and 150 non‑cancerous liver tissue samples. The association between protein expression and clinicopathological parameters was analyzed using the χ2 test, and the effect of FOXO3 expression on survival was assessed via Kaplan‑Meier analysis. The expression of FOXO3 mRNA was significantly higher in HCC in comparison with healthy tissues. High FOXO3 protein expression was revealed in 43/150 non‑cancerous liver tissues, and in 238/314 HCC samples. A significant association was demonstrated between FOXO3 expression and metastasis, Tumor‑Node‑Metastasis stage, Edmondson grade, α‑fetoprotein level and overall survival. In conclusion, the high expression of FOXO3 predicts a poor prognosis in patients with HCC, indicating this protein as a potential therapeutic target in HCC.

1 August 2015 in Biochemical and Biophysical Research Communications
Verified
Journal Article
Closed access
JWJiajun Wang
Jiajun Wang
MSMiaomiao Shao
Miaomiao Shao
MLMin Liu
Min Liu
PPPeike Peng
Peike Peng
Lili LiLili Li
Lili Li
JGJianxin Gu
Jianxin Gu

15 April 2022 in Cell Death & Disease
Verified
Journal Article
Open access
PDF file
SSShushu Song
Shushu Song
BLBo Liu
Bo Liu
XZXiaoqing Zeng
Xiaoqing Zeng
YWYingying Wu
Yingying Wu
HCHao Chen
Hao Chen
HWHongshan Wang
Hongshan Wang
Gastric cancer ranks fourth for mortality globally among various malignant tumours, and invasion and metastasis are the major reason leading to its poor prognosis. Recently, accumulating studies revealed the role of reticulon proteins in cell growth and transmigration. However, the expression and biological function of reticulon proteins in human gastric cancer remain largely unclear. Herein, we explored the potential role of reticulon 2 (RTN2) in the progression of gastric cancer. Tissue microarray was used to determine the expression levels of RTN2 in 267 gastric cancer patients by immunohistochemistry. Gastric cancer cell lines were utilised to examine the influences of RTN2 on cellular migration and invasion abilities, epithelial-to-mesenchymal transition (EMT) and signalling pathway. In vivo studies were also performed to detect the effect of RTN2 on tumour metastasis. We found that RTN2 expression was notably upregulated in tumour tissues compared to pericarcinomatous tissues. High RTN2 expression was positively correlated with patients’ age, vessel invasion, tumour invasion depth, lymph node metastasis and TNM stage. Besides, high RTN2 staining intensity was associated with adverse survival which was further identified as an independent prognostic factor for gastric cancer patients by multivariate analysis. And the predictive accuracy was also improved when incorporated RTN2 into the TNM-staging system. RTN2 could promote the proliferation, migration and invasion of gastric cancer cells in vitro and lung metastasis in vivo. Mechanistically, RTN2 interacted with IP3R, and activated ERK signalling pathway via facilitating Ca2+ release from the endoplasmic reticulum, and subsequently drove EMT in gastric cancer cells. These results proposed RTN2 as a novel promotor and potential molecular target for gastric cancer therapies.

16 May 2023 in Cellular Signalling
Verified
Journal Article
Closed access
GWGaojia Wang
Gaojia Wang
ZXZhijian Xu
Zhijian Xu
JSJie Sun
Jie Sun
BLBo Liu
Bo Liu
YRYuanyuan Ruan
Yuanyuan Ruan
SSShushu Song
Shushu Song

14 August 2023 in Cellular Oncology
Verified
Journal Article
Closed access
PDF file
MCMengqian Chen
Mengqian Chen
GWGaojia Wang
Gaojia Wang
Zhijian XuZhijian Xu
Zhijian Xu
JSJie Sun
Jie Sun
BLBo Liu
Bo Liu
SSShushu Song
Shushu Song