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Qingxi Guo

Publications and source records attributed to Qingxi Guo.

3 recordsLinked to original sources

Colorectal Liver Metastasis Pathomics Model: Integrating Single-Cell and Spatial Transcriptome Analysis With Pathomics for Predicting Liver Metastasis in Colorectal Cancer.

The liver is the primary target organ for hematologic metastasis of colorectal cancer (CRC), and CRC liver metastasis (CRLM) often precludes radical resection, making it the leading cause of death in patients with CRC. To improve the identification and prediction of liver metastasis risk, we identified a cell type of liver metastasis--triggering malignant cells (LMTMCs) through integrating single-cell RNA sequencing and spatial transcriptome analysis. Multiomics cell communication analysis indicated that the interaction between fibroblasts and LMTMCs through the COL1A1-CD44/SDC4 and LAMA4-CD44 signaling axes could promote CRLM. By applying the one-class logistic regression algorithm, we developed a CRLM scoring system in the bulk RNA-sequencing data according to the abundance of LMTMCs in each individual. Using the grouping labels derived from the CRLM scoring system in the bulk data and the corresponding whole-slide images without any manual annotations at the region or pixel level, processed via slide-level weakly supervised learning, a deep-learning model based on the ResNet18 architecture, called Colorectal Liver Metastasis Pathomics Model, was developed to predict the risk of liver metastasis in patients with CRC. The Colorectal Liver Metastasis Pathomics Model achieved an area under the curve of 0.84 at the internal test set of The Cancer Genome Atlas-CRC histology images. In the external independent validation sets, namely the Affiliated Hospital of Southwest Medical University and the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University cohorts, the areas under the curve were 0.89 and 0.72, respectively, indicating effective classification performances. This study provided new insights and tools for the early identification of CRLM and demonstrated the potential of combining multiomics with deep learning-based pathomics in cancer research.

Humans↗

[Landscape ecological evaluation of Fenglin Nature Reverse: quantification and interpretation].

Fenglin National Class Nature Reserve is the largest well-saved virginal Korean pine (Pinus koraiensis) forest area and a precious species gene bank in China. In this study, the indexes diversity, naturalness, representativity, rarity, area suitability, stability, and anthropogenic interference were selected to establish a ranking ecological evaluation system to estimate the ecological condition of the Reserve. The value of each index was determined by the evaluation system, and the weight percentage was decided by Analytical Hierarchy Process (AHP). In the Reserve, there were 568 higher plant species belonging to 113 families and 220 higher animal species, with score 3 of species diversity. The zonal "climax" vegetation type broad-leaved Korean pine forest and the intrazonal community type spruce-fir forest constituted the principal part of the Reserve forest, which was the epitome of the virgin broad-leaved Korean pine forest in Lesser Xing'an Mountains, with representativity score 3. During the past 20-30 years, the natural habitat in the Reserve was quite good, and secondary succession was obtained effective control with few natural or anthropogenic disturbance, with score 4 of naturalness and anthropogenic interference. There were a lot of ancient species of the tertiary period, such as Pinus koraiensis, Fraxinus mandsurica, Juglans mandshurica, Pellodendron amurense, Tilia amurensis and Acer mono, and Pinus koraiensis was listed as one of severe danger species by the FAO of UN, with rarity score 4. The Reserve covered an area of 18165 hm2, with an enough size to maintain the structure and function of the ecosystem. Accordingly, its area suitability score was 4. Broad-leaved Korean pine forest was the most typical and stable vegetation type in the Reserve, and thus, its stability score was 4. Finally, the composite evaluation index (CEI) was figured out as 0.87, showing that the ecological quality of the Reserve was very good, and the protection value was quite high. In conclusion, the present area, structure, and management of the Reserve could satisfy the requirement of sustainable development.

Biodiversity↗

[Characteristics of canopy patches related to natural regeneration of broad-leaved Korean pine forest].

The characteristics of canopy patches of dominant tree species in a broad-leaved Korean pine forest at an elevation of 740 m in north slope of Changbai mountain was investigated to understand the effects of canopy patch on the structure and regeneration of the forest. The results showed that the main species that constituted the canopy patches were Pinus koraiensis, Tilia amurese, Acer mono and Quercus mongolica, their canopy patches covered 57.1% of the forest, and 87% of the total area of the canopy. Most canopy patches were less than 100 m2, with irregular shapes. The seedlings and saplings of Acer mono were distributed under almost all canopy patches of Tilia amurense and Pinus koraiensis, and reached the maximum densities under canopy patch of Tilia amurense of 32 m2, and patch of Pinus koraiensis of 28 m2. However, the seedlings and saplings of Tilia amurense were distributed only under a few canopy patches of Tilia amurense and Pinus koraiensis.

Acer↗