Publications by authors named "Jin-Nan Gao"

3 Publications

  • Page 1 of 1

The pan-cancer lncRNA PLANE regulates an alternative splicing program to promote cancer pathogenesis.

Nat Commun 2021 06 18;12(1):3734. Epub 2021 Jun 18.

Translational Research Institute, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Academy of Medical Science, Zhengzhou University, Henan, China.

Genomic amplification of the distal portion of chromosome 3q, which encodes a number of oncogenic proteins, is one of the most frequent chromosomal abnormalities in malignancy. Here we functionally characterise a non-protein product of the 3q region, the long noncoding RNA (lncRNA) PLANE, which is upregulated in diverse cancer types through copy number gain as well as E2F1-mediated transcriptional activation. PLANE forms an RNA-RNA duplex with the nuclear receptor co-repressor 2 (NCOR2) pre-mRNA at intron 45, binds to heterogeneous ribonucleoprotein M (hnRNPM) and facilitates the association of hnRNPM with the intron, thus leading to repression of the alternative splicing (AS) event generating NCOR2-202, a major protein-coding NCOR2 AS variant. This is, at least in part, responsible for PLANE-mediated promotion of cancer cell proliferation and tumorigenicity. These results uncover the function and regulation of PLANE and suggest that PLANE may constitute a therapeutic target in the pan-cancer context.
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June 2021

A Six-Epithelial-Mesenchymal Transition Gene Signature May Predict Metastasis of Triple-Negative Breast Cancer.

Onco Targets Ther 2020 3;13:6497-6509. Epub 2020 Jul 3.

Department of Breast Surgery, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.

Purpose: Pathological complete response (pCR) to neoadjuvant chemotherapy (NACT) is associated with favourable outcomes of patients with triple-negative breast cancer (TNBC). However, a proportion of TNBC patients with the residual disease do not relapse and achieve long-term survival. The aim of this study was to identify biomarkers that predict clinical outcomes in these patients.

Patients And Methods: A retrospective series of 10 TNBC patients who displayed non-pCR to NACT were included in the discovery cohort. Total RNA from pre-NACT core biopsies and paired surgical specimens were subjected to the Affymetrix Human Transcriptome Array. Gene set enrichment analysis (GSEA) was used to identify signal pathways and gene signatures associated with metastasis. The Cox proportional hazard model and Kaplan-Meier survival curves were employed to assess the prognostic value of the identified signature in two independent TNBC datasets included in Gene Expression Omnibus (GEO).

Results: The epithelial-mesenchymal transition (EMT) pathway was markedly more enriched in pre- (NES = 1.92; p.adjust = 0.019) and post-NACT samples (NES = 2.02; p.adjust = 0.010) from patients who developed metastasis after NACT. A subset of 6 EMT genes including , and were expressed constantly at higher levels in samples from patients who progressed to metastatic disease. The potential of the 6-EMT gene signature to predict TNBC metastasis after NACT was validated with a GEO dataset (HR=0.36, p=0.0008, 95% CI: 0.200-0.658). Moreover, the signature appeared of predictive value in another GEO dataset of TNBC patients who received surgery followed by adjuvant chemotherapy (HR = 0.46, 95% CI: 0.225-0.937).

Conclusion: Expression analysis of the 6-EMT gene signature at diagnosis may be of predictive value for metastasis in TNCB patients who did not achieve pCR to NACT and for patients treated with surgery in combination with adjuvant therapy.
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July 2020

[Analysis of predictors of axillary node metastases in 787 breast cancer patients].

Zhonghua Zhong Liu Za Zhi 2011 Jan;33(1):67-9

The Third Department of Breast Surgical Oncology, Shanxi Cancer Hospital, Taiyuan 030013, China.

Objective: To explore the predictors of axillary nodal metastass in patients with breast cancer.

Methods: A retrospective study was performed using the clinicopathological data of breast cancer cases diagnosed and treated in our Hospital between Dec 2006 and Nov 2008. Logistic regression analysis was used to determine the predictors of axillary node positivity.

Results: The total number of patients was 1133. 69.5% of them (787) had complete clinical and pathological data. The median age was 49 years old (range 20-85). The average number of lymph nodes removed was 14.6 per person. The average number of involved nodes was 3.5 per person. Increasing tumor size was associated with increased risk of lymph node metastases. Assessed by multivariate analysis, the tumor size, age, ER status, and pathological type were significantly associated with node metastasis.

Conclusions: Axillary nodal metastases are significantly affected by the tumor size, ER status, age, and pathological type in breast cancer patients.
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January 2011