Songqing Fan

Expression of LDHA, Pan-Kla Level and H3K18la associates with clinical progression of laryngeal squamous cell carcinoma

Yangbingyu Wen, Miaolong Lu, Mu Yang, Yu Kang et autres

AIMS: Laryngeal squamous cell carcinoma (LSCC) represents one of the major subtypes of head and neck squamous cell carcinoma (HNSC), imposing substantial health burdens and necessitates comprehensive clinical interventions. Lactylation, a newly discovered protein post-translational modification (PTM), has recently been recognized as …

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LARS2 reprograms mitochondrial metabolism and epigenetically upregulates MHC-I to boost antitumor immunity in nasopharyngeal carcinoma

Mei Yang, Yongzhen Mo, Daixi Ren, Shun Liu et autres

Background Nasopharyngeal carcinoma (NPC) is considered a typical “hot” tumor, yet its immune evasion mechanisms remain poorly defined, and immunotherapy efficacy is suboptimal. Attenuation of intrinsic tumor cell immunogenicity to evade T cell recognition and cytotoxicity represents a major route of tumor …

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PLIN3 knockdown enhances T cell-mediated cytotoxicity in non-small cell lung cancer via autophagy-dependent PD-L1 degradation

Hanqiong Zhou, Songqing Fan, Min Ouyang, Hongmei Zheng

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Osimertinib Resistance in EGFR‐Mutated Non–Small Cell Lung Cancer: Mechanisms and Therapeutic Strategies

Junfeng Guo, Qiuyuan Wen, Songqing Fan

) mutations being one of the most common actionable genetic alterations. Osimertinib, a third-generation EGFR tyrosine kinase inhibitor (EGFR-TKI), has significantly improved the prognosis of patients with EGFR-mutated NSCLC, but acquired resistance remains a major clinical obstacle limiting its long-term efficacy. This …

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Diffusion attention expert model for predicting and semi-automatic localizing STAS in lung cancer histopathological images

Liangrui Pan, Jiadi Luo, Yuxuan Xiao, Chenchen Nie et autres

Accurate intraoperative and postoperative diagnosis of spread through air spaces (STAS) is essential for guiding surgical decisions and postoperative management in lung cancer. However, histopathological assessment is labor-intensive and is prone to missed or incorrect diagnoses. We propose a Diffusion Attention Expert …

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Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images

Liangrui Pan, Jiadi Luo, Yuxuan Xiao, Chenchen Nie et autres

Accurate intraoperative and postoperative diagnosis of spread through air spaces (STAS) is essential for guiding surgical decisions and postoperative management in lung cancer. However, histopathological assessment is labor-intensive and is prone to missed or incorrect diagnoses. We propose a Diffusion Attention Expert …

Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images

Liangrui Pan, Jiadi Luo, Yuxuan Xiao, Chenchen Nie et autres

Accurate intraoperative and postoperative diagnosis of spread through air spaces (STAS) is essential for guiding surgical decisions and postoperative management in lung cancer. However, histopathological assessment is labor-intensive and is prone to missed or incorrect diagnoses. We propose a Diffusion Attention Expert …

cn (code pays fourni par la source)

Supplementary Table 6 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

Liangrui Pan, Jiadi Luo, Chenchen Nie, Songqing Fan et autres

Performance comparison of NAVF-Bio and 11 SOTA models on the KRAS mutation prediction task based on the SXHCSU dataset.

Supplementary Table 18 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

Liangrui Pan, Jiadi Luo, Chenchen Nie, Songqing Fan et autres

Quantitative TME metrics and correlation analysis of the TP53&EGFR, TP53&KRAS, and TP53&ALK groups compared to the KRAS mutation group, with statistical significance determined by T-test.

Supplementary Figure 1 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

Liangrui Pan, Jiadi Luo, Chenchen Nie, Songqing Fan et autres

Attention mechanism

Supplementary Table 9 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

Liangrui Pan, Jiadi Luo, Chenchen Nie, Songqing Fan et autres

Prov-GigaPath was compared with state-of-the-art pathology-based models using AUC on 10 pathomic and cancer subtyping tasks.

Supplementary Table 7 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

Liangrui Pan, Jiadi Luo, Chenchen Nie, Songqing Fan et autres

Performance comparison of NAVF-Bio and 11 SOTA models in the ALK mutation prediction task based on the SXHCSU dataset.