Colorectal cancer (CRC) is the third leading cause of death in the world. However, the key roles of most molecules in CRC remain unclear. This study aimed to identify key modules and hub genes associated with the progression of CRC. The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses performed in R. by WGCNA, several hub genes that regulate the mechanism of tumorigenesis in CRC were identified, which were associated with clinical traits. Next, we screened hub genes related to the progression of CRC authenticated by The Cancer Genome Atlas (TCGA) and Oncomine databases. Three hub genes (HCLS1, EVI2B, and CD48) were identified, and survival analysis was further performed. Moreover, the results of qPCR and immunohistochemistry staining revealed that HCLS1, EVI2B, and CD48 are tumor suppressor genes. Further, the functional study verified that over-expression of HCLS1, EVI2B, and CD48 can reduce the proliferation, migration, and invasion ability of CRC cells and significantly suppress CRC tumor growth in vivo. In summary, we identified three hub genes that were associated with the progression of CRC that can be applied in treatment.

Nowadays, early oral feeding after gastrectomy has been gradually accepted and applied in the clinical practice, but there is still no specific uniform feeding regimen available which works best for patients in different regions with different races and eating habits. Aiming to establish an early oral feeding schedule suitable for local Chinese patients after gastric surgery, from May 2014 to May 2018, 87 gastric cancer patients undergoing various types of gastric resections were enrolled in an early feeding protocol and their clinical course was reviewed retrospectively. A stepwise, local patient-specific, early oral feeding schedule was proposed, implemented within an early recovery after surgery (ERAS) protocol and accessed in terms of its safety and tolerability. The primary surgical outcomes included: a median (interquartile range; IQR) postoperative hospital stay of 6 (3) days; 67 (77%) patients were well tolerant of this schedule from postoperative day (POD) 1 to POD 4; 20 (23%) patients had mild I/II grade complications (Clavien-Dindo classification); 3 (3%) patients had IIIB complications, zero cases of hospital mortality. Compared to similar studies in the past, our early oral feeding program is also safe and beneficial, and it can shorten the postoperative hospital stay without causing any increase in postoperative complications. In summary, our work herein reported the establishment of a detailed early oral feeding schedule embedded within an ERAS protocol which was found to be suitable for local Chinese patients after gastric surgery. Accordingly, this early oral feeding schedule is worth further research and promotion.

Hepatocellular carcinoma (HCC) is a malignant tumor with high recurrence and metastasis rates and poor prognosis. Basement membrane is a ubiquitous extracellular matrix and is a key physical factor in cancer metastasis. Therefore, basement membrane-related genes may be new targets for the diagnosis and treatment of HCC. We systematically analyzed the expression pattern and prognostic value of basement membrane-related genes in HCC using the TCGA-HCC dataset, and constructed a new BMRGI based on WGCNA and machine learning. We used the HCC single-cell RNA-sequencing data in GSE146115 to describe the single-cell map of HCC, analyzed the interaction between different cell types, and explored the expression of model genes in different cell types. BMRGI can accurately predict the prognosis of HCC patients and was validated in the ICGC cohort. In addition, we also explored the underlying molecular mechanisms and tumor immune infiltration in different BMRGI subgroups, and confirmed the differences in response to immunotherapy in different BMRGI subgroups based on the TIDE algorithm. Then, we assessed the sensitivity of HCC patients to common drugs. In conclusion, our study provides a theoretical basis for the selection of immunotherapy and sensitive drugs in HCC patients. Finally, we also considered CTSA as the most critical basement membrane-related gene affecting HCC progression. In vitro experiments showed that the proliferation, migration and invasion abilities of HCC cells were significantly impaired when CTSA was knocked down.

Highlights Small-sized trastuzumab-targeted micelles (T-MP) were engineered using a surfactant-stripping approach that yielded concentrated phthalocyanines with strong near infrared absorption. T-MP accumulated more in the lymph node (LN) metastases of orthotopic colorectal cancer compared to the micelles conjugated with control IgG. Following surgical resection of the primary tumor, minimally invasive photothermal treatment of the metastatic LN with T-MP, but not the control micelles, extended mouse survival. AbstractSection Abstract Tumor lymph node (LN) metastasis seriously affects the treatment prognosis. Studies have shown that nanoparticles with size of sub-50 nm can directly penetrate into LN metastases after intravenous administration. Here, we speculate through introducing targeting capacity, the nanoparticle accumulation in LN metastases would be further enhanced for improved local treatment such as photothermal therapy. Trastuzumab-targeted micelles (< 50 nm) were formulated using a unique surfactant-stripping approach that yielded concentrated phthalocyanines with strong near-infrared absorption. Targeted micellar phthalocyanine (T-MP) was an effective photothermal transducer and ablated HT-29 cells in vitro. A HER2-expressing colorectal cancer cell line (HT-29) was used to establish an orthotopic mouse model that developed metastatic disease in mesenteric sentinel LN. T-MP accumulated more in the LN metastases compared to the micelles conjugated with control IgG. Following surgical resection of the primary tumor, minimally invasive photothermal treatment of the metastatic LN with T-MP, but not the control micelles, extended mouse survival. Our findings demonstrate for the first time that targeted small-sized nanoparticles have potential to enable superior paradigms for dealing with LN metastases.

Artificial Intelligence (AI) models for medical diagnosis often face challenges of generalizability and fairness. We highlighted the algorithmic unfairness in a large thyroid ultrasound dataset with significant diagnostic performance disparities across subgroups linked causally to sample size imbalances. To address this, we introduced the Quasi-Pareto Improvement (QPI) approach and a deep learning implementation (QP-Net) combining multi-task learning and domain adaptation to improve model performance among disadvantaged subgroups without compromising overall population performance. On the thyroid ultrasound dataset, our method significantly mitigated the area under curve (AUC) disparity for three less-prevalent subgroups by 0.213, 0.112, and 0.173 while maintaining the AUC for dominant subgroups; we also further confirmed the generalizability of our approach on two public datasets: the ISIC2019 skin disease dataset and the CheXpert chest radiograph dataset. Here we show the QPI approach to be widely applicable in promoting AI for equitable healthcare outcomes.

The presence of lymph node (LN) metastases guides cancer staging and worsens prognoses. Incomplete lymphadenectomy of metastatic LNs may end up with disease recurrence, while excessive resection can result in increased postoperative complications with even no survival benefit. Thus, effective non-invasive methods to treat metastatic LNs would be highly desirable. Here, we develop an enzyme-responsive formulation of small-sized doxorubicin-loaded mesoporous silica nanoparticles (DMSN, 40 nm) encapsulated in nanoliposomes (DMSN@Pla-Lipo, 160 nm). The liposomal membrane contains 1,2-dipalmitoyl-sn-glycero-3-phospho-rac-(1-glycerol) (DPPG) and 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC), two phospholipids sensitive to secreted phospholipase A₂ in human colorectal tumors. In an orthotopic colorectal murine tumor model, phospholipase-induced membrane permeabilization triggers the liberation of DMSN from liposomes for enhanced tumor penetration, conferring an enhanced suppression for the primary tumor. Furthermore, through translocation into metastatic LNs via tumor lymphatics, metastatic tumor cells in LNs are eradicated. Metastases to other major organs are also suppressed, which can be ascribed to the inhibition of colorectal cancer metastasis-associated TGF-β, Wnt, and Hippo signaling pathways in metastatic LNs. The treatment confers an 80% 90-day survival rate in this aggressive tumor model. Taken together, this study demonstrates a deliberate treatment approach for management of both primary tumors and metastatic LNs through multistage drug delivery.