Impact of three-dimensional-printing technology guidance on surgical outcomes for retroperitoneal sarcoma: A propensity score-matched study.

BACKGROUND: The surgical treatment of retroperitoneal sarcoma (RPS) is highly challenging because of its complex anatomy. In this study, the authors compared the surgical outcomes of patients with RPS who underwent surgical resection guided by three-dimensional (3D) printing technology versus traditional imaging. METHODS: This retrospective study included 251 patients who underwent RPS resection guided by 3D-printing technology or traditional imaging from January 2019 to December 2022. The main outcome measures were operative time, intraoperative blood loss, postoperative complications, and hospital stay. RESULTS: In total, 251 patients were enrolled in the study: 46 received 3D-printed navigation, and 205 underwent traditional surgical methods. Propensity score matching yielded 44 patients in the 3D group and 82 patients in the control group. The patients' demographics and tumor characteristics were comparable in the matched cohorts. The 3D group had significantly shorter operative time (median, 186.5 minutes [interquartile range (IQR), 130.0-251.3 minutes] vs. 210.0 minutes [IQR, 150.8-277.3 minutes]; p = .04), less intraoperative blood loss (median, 300.0 mL [IQR, 100.0-575.0 mL] vs. 375.0 mL [IQR, 200.0-925.0 mL]; p = .02), shorter postoperative hospital stays (median, 11.0 days [IQR, 9.0-13.0 days] vs. 14.0 days [IQR, 10.8-18.3 days]; p = .02), and lower incidence rate of overall postoperative complications than the control group (18.1% vs. 36.6%; p = .03). There were no differences with regard to the intraoperative blood transfusion rate, the R0/R1 resection rate, 30-day mortality, or overall survival. CONCLUSIONS: Patients in the 3D group had favorable surgical outcomes compared with those in the control group. These results suggest that 3D-printing technology might overcome challenges in RPS surgical treatment. PLAIN LANGUAGE SUMMARY: The surgical treatment of retroperitoneal sarcoma (RPS) is highly challenging because of its complex anatomy. The purpose of this study was to investigate whether three-dimensional (3D) printing technology offers advantages over traditional two-dimensional imaging (such as computed tomography and magnetic resonance imaging) for guiding the surgical treatment of RPS. In a group of patients who had RPS, surgery guided by 3D-printing technology was associated with better surgical outcomes, including shorter operative time, decreased blood loss, shorter hospital stays, and fewer postoperative complications. These findings suggested that 3D-printing technology could help surgeons overcome challenges in the surgical treatment of RPS. 3D-printing technology has important prospects in the surgical treatment of RPS.

Synthesis and Biological Activities of Scleropentaside D.

We report the first total synthesis of scleropentaside D, a unique C-glycosidic ellagitannin, from the ketal derivative of scleropentaside A employing site-selective O4-protection of C-acyl glycoside and copper-catalyzed oxidative coupling reaction of galloyl groups as the key steps. Our study confirms the proposed structure of this natural product, scleropentaside D, and demonstrates its effectiveness as an inhibitor of α-glycosidase.

Innovative pancreas-guided technique for splenic flexure mobilization in laparoscopic left hemicolectomy.

OBJECTIVE: Splenic flexure mobilization (SFM) is a major challenge in laparoscopic left hemicolectomy. This study aims to assess the safety and effectiveness of the pancreas-guided SFM technique during laparoscopic left hemicolectomy. METHODS: From January 2018 to December 2023, 352 patients with left-sided colon cancer underwent laparoscopic left hemicolectomy. Based on the SFM method used, the patients were divided into the pancreas-guided group (167 cases) or the "Three Approaches Roundabout"/classic group (185 cases). Clinicopathologic characteristics and intraoperative and postoperative variables were compared between the two groups. RESULTS: The two groups had no significant differences in baseline indicators (P > 0.05). All surgeries were successful without needing to convert to laparotomy, and there were no combined organ resections involving the spleen or pancreas in either group. The mean duration of surgery was significantly lower in the pancreas-guided group than in the classic group (P < 0.01). The median volume of intraoperative blood loss in the pancreas-guided group was lower than that in the classic group (P < 0.01). Through video playback, it was found that the retro-pancreatic space had been entered during operation in 8 cases (4.3%) in the classic group, while there were no such occurrences in the pancreas-guided group. This difference was statistically significant (P < 0.05). The difference in the number of lymph nodes cleared, postoperative hospital stays, and incidence of complications were not statistically significant (all P > 0.05) between the groups. CONCLUSION: The pancreas-guided SFM technique is a safe and feasible option for laparoscopic left hemicolectomy. Our study's findings suggest that this approach facilitates accurate access to the correct anatomic plane, potentially improving surgical efficiency.

Highly Integrated µGC Based on a Multisensing Progressive Cellular Architecture with a Valveless Sample Inlet.

Microscale gas chromatographs (µGCs) promise in-field analysis of volatile organic compounds (VOCs) in environmental and industrial monitoring, healthcare, and homeland security applications. As a step toward addressing challenges with performance and manufacturability, this study reports a highly integrated monolithic chip implementing a multisensing progressive cellular architecture. This architecture incorporates three µGC cells that are customized for different ranges of analyte volatility; each cell includes a preconcentrator and separation column, two complementary capacitive detectors, and a photoionization detector (PID). An on-chip carrier gas filter scrubs ambient air for the analysis. The monolithic chip, with all 16 components, is 40.3 × 55.7 mm2 in footprint. To accommodate surface adsorptive and low-volatility analytes, the architecture eliminates the commonly used inlet valve, eliminating the need for chemically inactive surfaces in the valves and pumps, allowing the use of standard parts. Representative analysis is demonstrated from a nonpolar 14-analyte mixture, a polar 12-analyte mixture, and a 3-phosphonate ester mixture, covering a wide vapor pressure range (0.005-68.5 kPa) and dielectric constant range (1.8-23.2). The three types of detectors show highly complementary responses. Quantitative analysis is shown in the tens to hundreds ppb range. With 200 mL samples, the projected detection limits reach 0.12-4.7 ppb. Limited tests performed at 80% humidity showed that the analytes with vapor pressures <12 kPa were unaffected. A typical full run takes 28 min and consumes 2.3 kJ energy for the fluidic elements (excluding electronics). By eliminating chip-to-chip fluidic interconnections and requiring just one custom-fabricated element, this work presents a path toward high-performance and highly manufacturable µGCs.

Refined assessment of space-time changes, influencing factors and socio-economic impacts of the terrestrial ecosystem quality: A case study of the GBA.

The terrestrial ecosystem is the cradle of energy and material basis for human survival and development. However, there are large research deficits in accurately and finely depicting the quality of the terrestrial ecosystem (QTE) and assessing its changing triggers' contribution. Here, we summarized three major principles for selecting image sources in remote sensing data fusion. A continuous 30-m net vegetation productivity (NPP) dataset during 2000-2019 for the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was derived by using the Carnegie-Ames-Stanford approach model and pre-fused normalized difference vegetation index. The factors' contributions to the QTE changes were quantitatively assessed. The role of the QTE in affecting the socio-economic and its behind mechanisms was quantitatively investigated. The results showed that: (1) High-quality images sources are the preference for spatio-temporal fusion of remote sensing data. Images with close month, the same season and year, and sensors should be then selected. Images of different sensors with similar spectral bandwidth, the ones from adjacent years and seasons, can be alternately considered. (2) Fine-resolution NPP has higher accuracy than coarse-resolution NPP and has marked advantages in finely characterizing the QTE. In the past 20 years, the QTE in the GBA has shown a fluctuating increasing trend (0.20 Tg C/yr). (3) Human activities contributed 54.19% of the QTE changes in the GBA, and dominates the QTE changes in the central rapidly urbanizing areas. Residual factors accounted for an overall contribution ratio of 35.71%. Climate change dominants the peripheral forest variations in the GBA. (4) In the GBA, the improvement of QTE has a significant positive socio-economic impact, it contributes to the GDP increment firstly then the GDP aggregate indirectly. Our results highlight that it is of great urgent to estimate long-term continuous NPP with high spatio-temporal resolution globally. Controlling strategies should be implemented to reduce factitious impacts on QTE. High level of ecological and environmental protection promotes the sustainable development.

Traditional Patchouli essential oil modulates the host's immune responses and gut microbiota and exhibits potent anti-cancer effects in ApcMin /+ mice.

Patchouli Essential Oil (PEO) has been used as a scent for various healing purposes since the ancient Egyptian period. The primary source of the oil is Pogostemon cablin (PC), a medicinal plant for treating gastrointestinal symptoms. However, the pharmacological function has not been addressed. Here, we report the cancer prevention and gut microbiota (GM) modulating property of PEO and its derivatives patchouli alcohol (PA) and pogostone (PO) in the ApcMin /+ colorectal cancer mice model. We found that PEO, PA, and PO significantly reduced the tumor burden. At the same time, it strengthened the epithelial barrier, evidenced by substantially increasing the number of the goblet and Paneth cells and upregulation of tight junction and adhesion molecules. In addition, PEO, PA, and PO shifted M1 to M2 macrophage phenotypes and remodeled the inflammatory milieu of ApcMin /+ mice. We also found suppression of CD4+CD25+ and stimulation CD4+ CD8+ cells in the spleen, blood, mesenteric lymph nodes (MLNs), and Peyer's patches (PPs) of the treated mice. The composition of the gut microbiome of the drug-treated mice was distinct from the control mice. The drugs stimulated the short-chain fatty acids (SCFAs)-producers and the key SCFA-sensing receptors (GPR41, GPR43, and GPR109a). The activation of SCFAs/GPSs also triggered the alterations of PPAR-γ, PYY, and HSDCs signaling mediators in the treated mice. Our work showed that PEO and its derivatives exert potent anti-cancer effects by modulating gut microbiota and improving the intestinal microenvironment of the ApcMmin /+ mice.

Celastrol inhibits lung cancer growth by triggering histone acetylation and acting synergically with HDAC inhibitors.

Alterations in histone modification have been linked to cancer development and progression. Celastrol, a Chinese herbal compound, shows potent anti-tumor effects through multiple signaling pathways. However, the involvement of histone modifications in this process has not yet been illustrated. In this study, barcode sequencing of a eukaryotic genome-wide deletion library revealed that histone modifications, especially histone acetylation associated with the NuA4 histone acetyltransferase complex, were involved in the anti-proliferation actions of celastrol. The essential roles of histone modification were verified by celastrol sensitivity tests in cells lacking specific genes, such as genes encoding the subunits of the NuA4 and Swr1 complex. The combination of celastrol and histone deacetylase inhibitors (HDACi), rather than the combination of celastrol and histone acetyltransferase inhibitors, synergistically suppressed cancer cell proliferation. In addition to upregulating H4K16 acetylation (H4K16ac), celastrol regulates H3K4 tri-methylation and H3S10 phosphorylation. Celastrol treatment significantly enhanced the suppressive effects of HDACi on lung cancer cell allografts in mice, with significant H4K16ac upregulation, indicating that a combination of celastrol and HDACi is a potential novel therapeutic approach for patients with lung cancer.

Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.

BACKGROUND: Lung adenocarcinoma (LAC) is the predominant histologic subtype of lung cancer and has a complicated pathogenesis with high mortality. The purpose of this study was to identify differentially expressed genes (DEGs) with prognostic value and determine their underlying mechanisms. METHODS: Gene expression data of GSE27262 and GSE118370 were acquired from the Gene Expression Omnibus database, enrolling 31 LAC and 31 normal tissues. Common DEGs between LAC and normal tissues were identified using the GEO2R tool and Venn diagram software. Next, the Database for Annotation, Visualization, and Integrated Discovery (DAVID) was used to analyze the Gene Ontology and Kyoto Encyclopedia of Gene and Genome (KEGG) pathways. Then, protein-protein interaction (PPI) network of DEGs was visualized by Cytoscape with Search Tool for the Retrieval of Interacting Genes and central genes were identified via Molecular Complex Detection. Furthermore, the expression and prognostic information of central genes were validated via Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier analysis, respectively. Finally, DAVID, real-time PCR and immunohistochemistry were applied to re-analyze the identified genes, which were also further validated in two additional datasets from ArrayExpress database. RESULTS: First, 189 common DEGs were identified among the two datasets, including 162 downregulated and 27 upregulated genes. Next, Gene Ontology and KEGG pathway analysis of the DEGs were conducted through DAVID. Then, PPI network of DEGs was constructed and 17 downregulated central genes were identified. Furthermore, the 17 downregulated central genes were validated via GEPIA and datasets from ArrayExpress, and 12 of them showed a significantly better prognosis. Finally, six genes were identified significantly enriched in neuroactive ligand-receptor interactions (EDNRB, RXFP1, P2RY1, CALCRL) and Rap1 signaling pathway (TEK, P2RY1, ANGPT1) via DAVID, which were further validated to be weakly expressed in LAC tissues via RNA quantification and immunohistochemistry analysis. CONCLUSIONS: The low expression pattern and relation to prognosis indicated that the six genes were potential tumor suppressor genes in LAC. In conclusion, we identified six significantly downregulated DEGs as prognostic markers and potential tumor suppressor genes in LAC based on integrated bioinformatics methods, which could act as potential molecular markers and therapeutic targets for LAC patients.

Icariin enhances youth-like features by attenuating the declined gut microbiota in the aged mice.

We previously reported the neuroprotective effects of icariin in rat cortical neurons. Here, we present a study on icariin's anti-aging effect in 24-month aged mice by treating them with a single daily dose of 100 mg/kg of icariin for 15 consecutive days. Icariin treatment improved motor coordination and learning skills while lowered oxidative stress biomarkers in the serum, brain, kidney, and liver of the aged mice. In addition, icariin improved the intestinal integrity of the aged mice by upregulating tight junction adhesion molecules and the Paneth and goblet cells, along with the reduction of iNOS and pro-inflammatory cytokines (IL-1ß, TNF-α, IL-2 and IL-6, and IL-12). Icariin treatments also significantly upregulated aging-related signaling molecules, Sirt 1, 3 & 6, Pot1α, BUB1b, FOXO1, Ep300, ANXA3, Calb1, SNAP25, and BDNF in old mice. Through gut microbiota (GM) analysis, we observed icariin-associated improvements in GM composition of aged mice by reinstating bacteria found in the young mice, while suppressing some bacteria found in the untreated old mice. To clarify whether icariin's anti-aging effect is rooted in the GM, we performed fecal microbiota transfer (FMT) from icariin-treated old mice to the old mice. FMT-recipients exhibited similar improvements in the rotarod score and age-related biomarkers as observed in the icariin-treated old mice. Equal or better improvement on the youth-like features was noticed when aged mice were FMT with feces from young mice. Our study shows that both direct treatments with icariin and fecal transplant from the icariin-treated aged mice produce similar anti-aging phenotypes in the aged mice. We prove that GM plays a pivotal role in the healing abilities of icariin. Icariin has the potentials to be developed as a medicine for the wellness of the aged adults.

Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses.

Gas chromatography is widely used to identify and quantify volatile organic compounds for applications ranging from environmental monitoring to homeland security. We investigate a new architecture for microfabricated gas chromatography systems that can significantly improve the range, speed, and efficiency of such systems. By using a cellular approach, it performs a partial separation of analytes even as the sampling is being performed. The subsequent separation step is then rapidly performed within each cell. The cells, each of which contains a preconcentrator and separation column, are arranged in progression of retentiveness. While accommodating a wide range of analytes, this progressive cellular architecture (PCA) also provides a pathway to improving energy efficiency and lifetime by reducing the need for heating the separation columns. As a proof of concept, a three-cell subsystem (PCA3mv) has been built; it incorporates a number of microfabricated components, including preconcentrators, separation columns, valves, connectors, and a carrier gas filter. The preconcentrator and separation column of each cell are monolithically implemented as a single chip that has a footprint of 1.8 × 5.2 cm2. This subsystem also incorporates two manifold arrays of microfabricated valves, each of which has a footprint of 1.3 × 1.4 cm2. Operated together with a commercial flame ionization detector, the subsystem has been tested against polar and nonpolar analytes (including alkanes, alcohols, aromatics, and phosphonate esters) over a molecular weight range of 32-212 g/mol and a vapor pressure range of 0.005-231 mmHg. The separations require an average column temperature of 63-68 °C within a duration of 12 min, and provide separation resolutions >2 for any two homologues that differ by one methyl group.

Mushroom polysaccharides and jiaogulan saponins exert cancer preventive effects by shaping the gut microbiota and microenvironment in ApcMin/+ mice.

The incidence of colorectal cancer (CRC) is alarming among younger peoples. While no effective chemopreventive drug available in the market, researchers have been searching for alternative strategies against CRC that are in demand. Therefore, we tested the cancer-preventive properties of Ganoderma lucidum (Lingzhi) polysaccharides (GLP), along with the saponins extracted from Gynostemma pentaphyllum (GpS), an herbal tea with prebiotic-like effects. Here, we report that saponins from Gynostemma pentaphyllum (GpS) and polysaccharides from Ganoderma lucidum (GLP together with GpS) profoundly improved the inflamed gut barrier of ApcMin/+ mice by reducing polyps, shifting colonic M1 to M2 macrophages, positively reverting E-cadherin/N-cadherin ratio, and downregulating oncogenic signaling molecules. The treatments also markedly promoted short-chain fatty acids (SCFAs)-producing bacteria and abridged sulfate-reducing bacteria in a time-dependent manner. G-protein coupled-receptors were significantly stimulated in the treated mice, accompanied by the modulated expressions of histone deacetylases, anti-cancer gut hormone PYY, and PPAPγ. These findings suggest that some of the herbal medicinal foods could modulate the relationship between the host and the gut microbiota (GM) to exert their beneficial properties to the host. Our study also implicates that these dietary mushroom polysaccharides and the Gp saponins have the potential to be developed as new preventive medicines against CRC.

Long-Term Outcomes of the Self-Expandable Metallic Stent as a Bridge to Surgery versus Elective Surgery without Stent Placement for Colorectal Cancer: A Retrospective Cohort Study.

BACKGROUND: The uncertainty surrounding whether delaying surgery after self-expandable metal stent (SEMS) placement for neoplastic stricture can yield similar oncologic outcomes as elective surgery remains. This study aims to investigate the impact of elective surgery following SEMS placement for obstructive colorectal cancer (OCC) on patients. METHODS: Patients diagnosed with stage I to III colorectal cancer (CRC) were recruited and randomly allocated into two groups: group A, receiving elective surgery after SEMS placement for obstructive colon cancer, and group B, undergoing elective surgery for non-obstructive colorectal cancer. Following a 1:2 matching process based on age, gender, tumor location, tumor depth, pathological stage, and adjuvant chemotherapy, group A comprised 95 patients, while group B consisted of 190 patients for comparative analysis. RESULTS: The 5-year disease-free survival (DFS) rate and overall survival (OS) rate were worse in group A (62.3% vs. 70.9%, p = 0.086) and (65.6% vs. 75.8%, p = 0.093) compared with group B, although these differences were not statistically significant. This discrepancy in long-term oncologic outcomes did not reach significance when the analysis was stratified by tumor perineural invasion (PNI) status. Univariate analysis revealed that SEMS placement was not a poor prognostic factor for DFS (p = 0.086). CONCLUSIONS: Elective surgery for obstructive colorectal cancer (OCC) following SEMS placement may exhibit poorer long-term oncologic outcomes compared to elective surgery for non-obstructive colorectal cancer, particularly due to the higher rate of PNI associated with OCC. Upon stratification of patients in each group by PNI status, the observed differences became marginal.

The Medicinal Species of the Lycium Genus (Goji Berries) in East Asia: A Review of Its Effect on Cell Signal Transduction Pathways.

Natural plants contain numerous chemical compounds that are beneficial to human health. The berries from the Lycium genus are widely consumed and are highly nutritious. Moreover, their chemical constituents have attracted attention for their health-promoting properties. In East Asia, there are three varieties of the Lycium genus (Lycium barbarum L., Lycium chinense Miller, and L. ruthenicum Murray) that possess medicinal value and are commonly used for treating chronic diseases and improving metabolic disorders. These varieties are locally referred to as "red Goji berries" or "black Goji berries" due to their distinct colors, and they differ in their chemical compositions, primarily in terms of carotenoid and anthocyanin content. The pharmacological functions of these berries include anti-aging, antioxidant, anti-inflammatory, and anti-exercise fatigue effects. This review aims to analyze previous and recent studies on the active ingredients and pharmacological activities of these Lycium varieties, elucidating their signaling pathways and assessing their impact on the gut microbiota. Furthermore, the potential prospects for using these active ingredients in the treatment of COVID-19 are evaluated. This review explores the potential targets of these Lycium varieties in the treatment of relevant diseases, highlighting their potential value in drug development.

Persistent urban heat.

Urban surface and near-surface air temperatures are known to be often higher than their rural counterparts, a phenomenon now labeled as the urban heat island effect. However, whether the elevated urban temperatures are more persistent than rural temperatures at timescales commensurate to heat waves has not been addressed despite its importance for human health. Combining numerical simulations by a global climate model with a surface energy balance theory, it is demonstrated here that urban surface and near-surface air temperatures are significantly more persistent than their rural counterparts in cities dominated by impervious materials with large thermal inertia. Further use of these materials will result in even stronger urban temperature persistence, especially for tropical cities. The present findings help pinpoint mitigation strategies that can simultaneously ameliorate the larger magnitude and stronger persistence of urban temperatures.

Berberine synergises with ferroptosis inducer sensitizing NSCLC to ferroptosis in p53-dependent SLC7A11-GPX4 pathway.

Berberine (BBR) is a compound derived from Chinese herbal medicine, known for its anticancer properties through multiple signaling pathways. However, whether BBR can inhibit tumor growth by participating in ferroptosis remains unconfirmed. In this study, we demonstrated that berberine synergistically inhibited NSCLC in combination with multiple ferroptosis inducers, and this combination synergistically down-regulated the mRNA and protein expression of SLC7A11, GPX4, and NRF2, resulting in ferroptosis accompanied by significant depletion of GSH, and aberrant accumulation of reactive oxygen species and malondialdehyde. In a lung cancer allograft model, the combination treatment exhibited enhanced anticancer effects compared to using either drug alone. Notably, p53 is critical in determining the ferroptosis sensitivity. We found that the combination treatment did not elicit a synergistic anticancer effect in cells with a p53 mutation or with exogenous expression of mutant p53. These findings provide insight into the mechanism by which combination induces ferroptosis and the regulatory role of p53 in this process. It may guide the development of new strategies for treating NSCLC, offering great medical potential for personal diagnosis and treatment.

Survival analysis in pT1-3 and paracolic lymph-node invasion colorectal cancer: the prognostic role of positive paracolic lymph-node ratio for adjuvant chemotherapy.

PURPOSE: Several studies have observed that some stage III colorectal cancer (CRC) patients cannot benefit from standard adjuvant chemotherapy. However, there is no unified screening standard to date. METHODS: Consecutive patients with pathologically confirmed colon adenocarcinoma treated in 3 centers between January 2016 and December 2018 were included. Patients were divided into four groups according to different stages and positive paracolic lymph-node ratio (P-LNR) [Cohort 1: pT1-3N0M0, Cohort 2: pT1-3N + (P-LNR ≤ 0.15)M0, Cohort 3: pT4N0M0, Cohort 4: stage III patients except for pT1-3N + (P-LNR ≤ 0.15)M0], and further overall survival was compared by Kaplan-Meier method. The univariate and multivariate analyses were employed for cox proportional hazards model. RESULTS: We retrospectively reviewed 5581 consecutive CRC patients with, and 2861 eligible patients were enrolled for further analysis. The optimal cut-off value of P-LNR in our study was 0.15. There was no significant difference in OS (91.36 vs. 93.74%) and DFS (87.65 vs. 90.96%) between stage III patients with pT1-3N + (P-LNR ≤ 0.15)M0 and those with pT1-3N0M0. Further analysis demonstrated that CRC patients with pT1-3N + (P-LNR ≤ 0.15)M0 were less likely to benefit from 8 cycles of CAPOX or FOLFOX chemotherapy and suffered fewer adverse events from declining chemotherapy. Comparing with 0-4 cycles versus 8 cycles, the overall survival rates were 91.35 versus 90.19% (P = 0.79), and with a DFS of 87.50 versus 88.24% (P = 0.49), the duration of adjuvant chemotherapy was not an independent risk factor for patients with pT1-3N + (P-LNR ≤ 0.15)M0 (HR: 0.70, 95% CI 0.90-1.30, P = 0.42). CONCLUSION: The concept of P-LNR we proposed might have a high clinical application value and accurately enable clinicians to screen out specific CRC patients who decline or prefer limited chemotherapy. TRIAL REGISTRY: The clinical trial registration number: ChiCTR2300076883.

"Caudal to cranial" versus "medial to lateral" approach in laparoscopic right hemicolectomy with complete mesocolic excision for the treatment of stage II and III colon cancer: perioperative outcomes and 5-year prognosis.

The purpose of this study was to compare the "caudal to cranial" (CC) versus "medial to lateral" (ML) approach for laparoscopic right hemicolectomy. Pertinent data from all patients with stage II and III between January 2015 and August 2017 were entered into a retrospective database. A total of 175 patients underwent the ML (N = 109) or CC approach (N = 66). Patient characteristics were equivalent between groups. The CC group showed a shorter surgical time 170.00 (145.00, 210.00) vs. (206.50 (178.75, 226.25) min) than the ML group (p < 0.001). The time to oral intake was shorter in the CC group than in the ML group ((3.00 (1.00, 4.00) vs. 3.00 (2.00, 5.00) days; p = 0.007). For the total harvested lymph nodes, there was no statistical significance between the CC group 16.50 (14.00, 21.25) and the ML group 18.00 (15.00, 22.00) (p = 0.327), and no difference was found in the positive harvested lymph nodes (0 (0, 2.00) vs. 0 (0, 1.50); p = 0.753). Meanwhile, no differences were found in other perioperative or pathological outcomes, including blood loss and complications. For 5-year prognosis, overall survival rates were 75.76% in the CC group and 82.57% in the ML group (HR 0.654, 95% CI 0.336-1.273, p = 0.207); disease-free survival rates were 80.30% in the CC group and 85.32% in the ML group (HR 0.683, 95% CI 0.328-1.422, p = 0.305). Both approaches were safe and feasible and resulted in excellent survival. The CC approach was beneficial in terms of the surgical time and time to oral intake.

Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning.

Background: The American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) used with ultrasonography cannot guide the individual management of solid breast tumors, but preoperative core biopsy categories (CBCs) can. We aimed to use machine learning to analyze clinical and ultrasonic features for predicting CBCs and to aid in the development of a new ultrasound (US) imaging reporting system for solid tumors of the breast. Methods: This retrospective study included women with solid breast tumors who underwent US-guided core needle biopsy from March 1, 2019, to December 31, 2019. All patients were randomly assigned to a training or validation cohort (7:3 ratio). CBC was predicted using 5 machine learning models: random forest (RF), support vector machine (SVM), k-nearest-neighbor (KNN), multilayer perceptron (MLP), and ridge regression (RR). In the validation cohort, the area under the curve (AUC) and accuracy were ascertained for every algorithm. Based on AUC values, the optimal algorithm was determined, and the features' importance was depicted. Results: A total of 1,082 female patients were included (age range, 12-96 years; mean age ± standard deviation, 42.22±13.37 years). The proportion of the 4 CBCs was 4% (44/1,185) for the B1 group, 60% (714/1,185) for the B2 group, 5% (57/1,185) for the B3 group, and 31% (370/1,185) for the B5 group. In the validation cohort, AUCs of the optimal algorithm constructed RF were 0.78, 0.88, 0.64, and 0.92 for B1, B2, B3, and B5, respectively, with an accuracy of 0.82. Conclusions: Machine learning could strongly predict CBC, particularly in B2 and B5 categories of solid breast tumors, with RF being the optimal machine learning model.

Primary extra-gastrointestinal stromal tumor of retroperitoneum: Clinicopathologic characteristics and prognosis of six cases.

Aim: This study investigates the clinicopathological features and prognostic genic biomarker factors of primary retroperitoneal extra-gastrointestinal stromal tumors (EGISTs). Methods: The clinicopathological data of six patients with primary retroperitoneal EGIST were analyzed, including cell type (epithelioid or spindle), mitoses, and the presence of intratumoral necrosis and hemorrhage. Mitoses were counted and summed from 50 high power fields (HPFs). Mutations of exons 9, 10, 11, 13, 14, and 17 of the C-kit genes and those of exons 12 and 18 of the PDGFRA gene were examined. Follow-up was performed via telephone, and all outpatient records were reviewed. The last follow-up date was February 2022, the median follow-up was 27.5m and the postoperative status, medication, and survival of the patients were recorded. Result: The patients were treated with radical intent. Four cases (patients 3, 4, 5, and 6) underwent multivisceral resection for encroachment on the adjacent viscera. The postoperative pathological results demonstrated that all biopsy specimens were negative for S-100 and desmin, and positive for DOG1 and CD117. Additionally, four patients (case 1, 2, 4, and 5) were positive for CD34, four (case 1, 3, 5, and 6) were positive for SMA, four (case 1, 4, 5, and 6) had >5/50 HPFs, and three (case 1, 4, and 5) had Ki67 >5%. According to the modified National Institutes of Health (NIH) guidelines, all patients were graded as high-risk cases. By exome sequencing, exon11 mutations were detected in the six patients, while exon10 mutations were detected in two cases (patients 4 and 5). The median follow-up time was 30.5 (11-109) months, with only one fatality at 11 months. Conclusion: Retroperitoneal EGIST is a rare mesenchymal tumor that is difficult to distinguish from other retroperitoneal tumors. To diagnose this highly malignant tumor, low-threshold suspicion is necessary, and Kit and PDGFRA gene mutations should be routinely tested to confirm the diagnosis and guide subsequent treatment.

Development of prediction model to estimate future risk of ovarian lesions: A multi-center retrospective study.

Background: To develop the preoperative prediction of ovarian lesions using regression-based statistics analyses and machine learning methods based on multiple serological biomarkers in China. Methods: 1137 patients with ovarian lesions in Zhujiang Hospital and 518 patients in others hospital in China were randomly assigned to training, test and external validation cohorts. Five machine learning classifiers, including Random Forest (RF), Extreme Gradient Boosting (XGB), Support Vector Classifier (SVC), K-nearest Neighbor (KN), Multi-Layer Perceptron (MLP) and the Lasso-Logistics prediction model (LLRM) were used to derive diagnostic information from 23 predictors. Results: The RF model had a high diagnostic value (AUC = 0.968) in predicting benign and malignant ovarian disease. Age and MLR were also potential diagnostic indicators for predicting ovarian disease except tumor indicators. The RF model well distinguished borderline ovarian tumors (AUC = 0.742). The RFM had a high predictive power to identify ovarian serous adenocarcinoma (AUC = 0.943) and ovarian endometriosis cysts (AUC = 0.914). Conclusions: The RF models can effectively predict adnexal lesions, promising to be adjuncts to the preoperative prediction of ovarian cancer.