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Role of long non-coding RNA HULC in cell proliferation, apoptosis and tumor metastasis of gastric cancer: A clinical and in vitro investigation

Oncology reports, 2014-01, Vol.31 (1), p.358-364

2014

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RNA-binding proteins in ovarian cancer: a novel avenue of their roles in diagnosis and treatment

Journal of translational medicine, 2022-01, Vol.20 (1), p.37-37, Article 37

2022

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HNRNPH1-stabilized LINC00662 promotes ovarian cancer progression by activating the GRP78/p38 pathway

Oncogene, 2021-07, Vol.40 (29), p.4770-4782

2021

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The RNA-Binding Protein CELF2 Inhibits Ovarian Cancer Progression by Stabilizing FAM198B

Molecular therapy. Nucleic acids, 2021-03, Vol.23, p.169-184

2021

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Homologous recombination deficiency in diverse cancer types and its correlation with platinum chemotherapy efficiency in ovarian cancer

BMC cancer, 2022-05, Vol.22 (1), p.550-550, Article 550

2022

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Developing a nomogram for preoperative prediction of cervical cancer lymph node metastasis by multiplex immunofluorescence

BMC cancer, 2023-05, Vol.23 (1), p.485-485

2023

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SPOP promotes cervical cancer progression by inducing the movement of PD-1 away from PD-L1 in spatial localization

Journal of translational medicine, 2022-08, Vol.20 (1), p.1-384, Article 384

2022

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BRAF-activated long non-coding RNA contributes to cell proliferation and activates autophagy in papillary thyroid carcinoma

Oncology letters, 2014-11, Vol.8 (5), p.1947-1952

2014

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Preoperative Molecular Subtype Classification Prediction of Ovarian Cancer Based on Multi-Parametric Magnetic Resonance Imaging Multi-Sequence Feature Fusion Network

Bioengineering (Basel), 2024-05, Vol.11 (5), p.472

2024

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Mechanism and biological significance of the overexpression of IFITM3 in gastric cancer

Oncology reports, 2014-12, Vol.32 (6), p.2648-2656

2014

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Targeting RAC1 reactivates pyroptosis to reverse paclitaxel resistance in ovarian cancer by suppressing P21‐activated kinase 4

MedComm (2020), 2024-09, Vol.5 (9), p.e719-n/a

2024

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EP208/#617 Predicting survival from primary cervical cancer based on deep learning in histopathological images

International journal of gynecological cancer, 2023-11, Vol.33 (Suppl 4), p.A162-A163

2023

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Predicting lymph node status based on deep learning on histopathological images from primary tumor of early-stage cervical squamous cell carcinoma (080)

Gynecologic oncology, 2022-08, Vol.166, p.S55

2022

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Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need

IEEE transactions on circuits and systems for video technology, 2024-10, Vol.34 (10), p.9732-9744

2024

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Long noncoding RNA SNHG6 promotes carcinogenesis by enhancing YBX1‐mediated translation of HIF1α in clear cell renal cell carcinoma

The FASEB journal, 2021-02, Vol.35 (2), p.e21160-n/a

2021

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Long non‐coding RNA SNHG6 promotes cell proliferation and migration through sponging miR‐4465 in ovarian clear cell carcinoma

Journal of cellular and molecular medicine, 2019-08, Vol.23 (8), p.5025-5036

2019

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Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis

IEEE journal of biomedical and health informatics, 2024-02, Vol.28 (2), p.964-975

2024

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Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram

European radiology, 2023-08, Vol.33 (8), p.5298-5308

2023

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BRAF-activated long non-coding RNA contributes to colorectal cancer migration by inducing epithelial-mesenchymal transition

Oncology letters, 2014-08, Vol.8 (2), p.869-875

2014

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PARP1-stabilised FOXQ1 promotes ovarian cancer progression by activating the LAMB3/WNT/β-catenin signalling pathway

Oncogene, 2024-03, Vol.43 (12), p.866-883

2024

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Multisequence MRI-based radiomics model for predicting POLE mutation status in patients with endometrial cancer

British journal of radiology, 2023-11, Vol.96 (1151), p.20221063

2023

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Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images

Modern pathology, 2023-12, Vol.36 (12), p.100316-100316, Article 100316

2023

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A modified diffusion-weighted magnetic resonance imaging–based model from the radiologist’s perspective: improved performance in determining the surgical resectability of advanced high-grade serous ovarian cancer

American journal of obstetrics and gynecology, 2024-07, Vol.231 (1), p.117.e1-117.e17

2024

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Diffusion‐Weighted Magnetic Resonance Imaging and Morphological Characteristics Evaluation for Outcome Prediction of Primary Debulking Surgery for Advanced High‐Grade Serous Ovarian Carcinoma

Journal of magnetic resonance imaging, 2023-05, Vol.57 (5)

2023

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Predictive value of preoperative serum squamous cell carcinoma antigen (SCC–Ag) level on tumor recurrence in cervical squamous cell carcinoma patients treated with radical surgery: A single-institution study

European journal of surgical oncology, 2020-01, Vol.46 (1), p.131-138

2020

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Role of long non-coding RNA HULC in cell proliferation, apoptosis and tumor metastasis of gastric cancer: A clinical and in vitro investigation

RNA-binding proteins in ovarian cancer: a novel avenue of their roles in diagnosis and treatment

HNRNPH1-stabilized LINC00662 promotes ovarian cancer progression by activating the GRP78/p38 pathway

The RNA-Binding Protein CELF2 Inhibits Ovarian Cancer Progression by Stabilizing FAM198B

Homologous recombination deficiency in diverse cancer types and its correlation with platinum chemotherapy efficiency in ovarian cancer

Developing a nomogram for preoperative prediction of cervical cancer lymph node metastasis by multiplex immunofluorescence

SPOP promotes cervical cancer progression by inducing the movement of PD-1 away from PD-L1 in spatial localization

BRAF-activated long non-coding RNA contributes to cell proliferation and activates autophagy in papillary thyroid carcinoma

Preoperative Molecular Subtype Classification Prediction of Ovarian Cancer Based on Multi-Parametric Magnetic Resonance Imaging Multi-Sequence Feature Fusion Network

Mechanism and biological significance of the overexpression of IFITM3 in gastric cancer

Targeting RAC1 reactivates pyroptosis to reverse paclitaxel resistance in ovarian cancer by suppressing P21‐activated kinase 4

EP208/#617 Predicting survival from primary cervical cancer based on deep learning in histopathological images

Predicting lymph node status based on deep learning on histopathological images from primary tumor of early-stage cervical squamous cell carcinoma (080)

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need

Long noncoding RNA SNHG6 promotes carcinogenesis by enhancing YBX1‐mediated translation of HIF1α in clear cell renal cell carcinoma

Long non‐coding RNA SNHG6 promotes cell proliferation and migration through sponging miR‐4465 in ovarian clear cell carcinoma

Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis

Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram

BRAF-activated long non-coding RNA contributes to colorectal cancer migration by inducing epithelial-mesenchymal transition

PARP1-stabilised FOXQ1 promotes ovarian cancer progression by activating the LAMB3/WNT/β-catenin signalling pathway

Multisequence MRI-based radiomics model for predicting POLE mutation status in patients with endometrial cancer

Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images

A modified diffusion-weighted magnetic resonance imaging–based model from the radiologist’s perspective: improved performance in determining the surgical resectability of advanced high-grade serous ovarian cancer

Diffusion‐Weighted Magnetic Resonance Imaging and Morphological Characteristics Evaluation for Outcome Prediction of Primary Debulking Surgery for Advanced High‐Grade Serous Ovarian Carcinoma

Predictive value of preoperative serum squamous cell carcinoma antigen (SCC–Ag) level on tumor recurrence in cervical squamous cell carcinoma patients treated with radical surgery: A single-institution study

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