The anticancer effects of Aronia berry extract are mediated by Chk1 and p53 in colorectal cancer.

BACKGROUND: Aronia berry extracts (ABE) have recently been reported to possess significant anti-cancer effects in various malignancies, including colorectal cancer (CRC), due to their high polyphenolic content. However, the molecular mechanism(s) underlying the anti-cancer effects of ABE in CRC remain unclear, which is important to consider when considering their use as complementary medicine approaches in cancer. METHODS: We performed genome-wide transcriptomic profiling and pathway enrichment analysis to identify specific growth signaling pathways associated with ABE treatment in CRC cells. In addition, a series of systematic and comprehensive cell culture studies were performed to investigate the anti-cancer effects of ABE in SW480 and HCT116 CRC cell lines. Subsequently, these findings were validated in patient-derived 3D organoids (PDOs) models. RESULTS: Transcriptomic profiling analysis identified p53 signaling as one of the key enriched pathways mediating the anti-cancer activity of ABE. Analysis of public datasets revealed that Chk1, a key regulator of p53, was one of the critical targets of ABE in CRC. Chk1 and p53 activation was shown to be downregulated with ABE treatment, leading to the induction of cell cycle arrest (p = 0.003-0.014) and enhanced DNA damage (p = 0.015-0.026). Furthermore, these findings were validated in PDOs, where the ABE treatment resulted in significantly fewer and smaller PDOs in a concentration-dependent manner (p = 0.045 - <0.001). CONCLUSIONS: We firstly provide evidence for the role of the p53 signaling pathway as a mediator of the anti-cancer activity of ABE, which provides a rationale for its use as a safe and effective integrative medicine approach in CRC.

Blood flow assessment of gastric tube with indocyanine green fluorescence angiography and postoperative endoscopy during esophagectomy: indocyanine green enhancement time indicated congestion.

BACKGROUND: During esophagectomy, evaluation of blood supply to the gastric tube is critically important to estimate and avoid anastomotic complications. This retrospective study investigated the relationship between indocyanine green (ICG) fluorescence angiography during esophagectomy and postoperative endoscopy findings, especially mucosal color change. METHODS: This study retrospectively collected data from 86 patients who underwent subtotal esophagectomy and reconstruction using a gastric tube for esophageal cancer at the Tokyo Medical and Dental University between 2017 and 2020. The flow speed of ICG fluorescence in the gastric tube was evaluated during the operation. Additionally, the main root of ICG enhancement and pattern of ICG distribution in the gastric tube were evaluated. On postoperative day 1 (POD1), the change in the mucosal color to white, thought to reflect ischemia, or black, thought to reflect congestion of the proximal gastric tube, was evaluated. The correlations between these factors, clinical parameters, and surgical outcomes were evaluated. Univariate and multivariate analyses used logistic regression to identify the risk factors affecting mucosal color change. RESULTS: Multivariate analyses revealed that the only independent significant predictor of mucosal congestion on POD1 was the ICG enhancement time of the right gastric tube tip (odds ratio, 14.49; 95% confidential interval, 2.41-87.24; P = 0.004). CONCLUSIONS: This study indicated that the ICG enhancement time is related to venous malperfusion and congestion rather than arterial malperfusion and ischemia.

Intraoperative Recurrent Laryngeal Nerve Monitoring for Esophagectomy: A National Cohort Study.

BACKGROUND: Lymphadenectomy around the recurrent laryngeal nerve (RLN) is an essential part of curative surgery for esophageal cancer. Although several single-center studies have shown that intraoperative nerve monitoring (IONM) can avoid RLN palsy, this has not been confirmed in a large-scale multicenter study. This study used a national database to evaluate whether IONM can reduce postoperative RLN palsy during minimally invasive esophagectomy (MIE) for esophageal cancer. METHODS: We retrieved data of patients with esophageal cancer who underwent 3-field thoracoscopic or robotic MIE with cervical anastomosis with IONM(+) (502 patients) and without IONM(-) (4353 patients) from April 2020 to March 2022 from the Diagnosis Procedure Combination database in Japan. We used propensity score-matching analysis to compare the frequency of postoperative RLN palsy and respiratory complications between the IONM(+) group and IONM(-) group. RESULTS: The postoperative RLN palsy rate was significantly lower in the IONM(+) than IONM(-) group (odds ratio, 0.24; 95% CI, 0.13-0.46). The respiratory complication rate was also significantly lower in the IONM(+) than in the IONM(-) group (odds ratio, 0.66; 95% CI, 0.45-0.97). The anesthesia time was significantly longer in the IONM(+) group (regression coefficient, 60.1 minutes; 95% CI, 44.2-76.9 minutes). The length of postoperative hospitalization tended to be shorter in the IONM(+) than in the IONM(-) group (regression coefficient, -1.39 days; 95% CI, -3.91 to 1.14). CONCLUSIONS: This national cohort study showed that IONM during 3-field MIE for esophageal cancer was associated with a reduction of postoperative RLN palsy and respiratory complications.

Highly sensitive detection of Epstein-Barr virus-infected cells by EBER flow FISH.

When Epstein-Barr virus (EBV) infection is suspected, identification of infected cells is important to understand the pathogenesis, determinine the treatment strategy, and predict the prognosis. We used the PrimeFlow™ RNA Assay Kit with a probe to detect EBV-encoded small RNAs (EBERs) and multiple surface markers, to identify EBV-infected cells by flow cytometry. We analyzed a total of 24 patients [11 with chronic active EBV disease (CAEBV), 3 with hydroa vacciniforme lymphoproliferative disorder, 2 with X-linked lymphoproliferative disease type 1 (XLP1), 2 with EBV-associated hemophagocytic lymphohistiocytosis, and 6 with posttransplant lymphoproliferative disorder (PTLD)]. We compared infected cells using conventional quantitative PCR methods and confirmed that infected cell types were identical in most patients. Patients with CAEBV had widespread infection in T and NK cells, but a small amount of B cells were also infected, and infection in patients with XLP1 and PTLD was not limited to B cells. EBV-associated diseases are believed to be complex pathologies caused by EBV infecting a variety of cells other than B cells. We also demonstrated that infected cells were positive for HLA-DR in patients with CAEBV. EBER flow FISH can identify EBV-infected cells with high sensitivity and is useful for elucidating the pathogenesis.

Ginseng mediates its anticancer activity by inhibiting the expression of DNMTs and reactivating methylation-silenced genes in colorectal cancer.

Developing safe and effective therapeutic modalities remains a critical challenge for improving the prognosis of patients with colorectal cancer (CRC). In this regard, targeting epigenetic regulation in cancers has recently emerged as a promising therapeutic approach. Since several natural compounds have recently been shown to be important epigenetic modulators, we hypothesized that Ginseng might exert its anticancer activity by regulating DNA methylation alterations in CRC. In this study, a series of cell culture studies were conducted, followed by their interrogation in patient-derived 3D organoid models to evaluate Ginseng's anticancer activity in CRC. Genome-wide methylation alterations were interrogated by undertaking MethylationEpic BeadChip microarrays. First, 50% inhibitory concentrations (IC50) were determined by cell viability assays, and subsequent Ginseng treatment demonstrated a significant anticancer effect on clonogenicity and cellular migration in CRC cells. Treatment with Ginseng potentiated cellular apoptosis through regulation of apoptosis-related genes in CRC cells. Furthermore, Ginseng treatment downregulated the expression of DNA methyltransferases (DNMTs) and decreased the global DNA methylation levels in CRC cells. The genome-wide methylation profiling identified Ginseng-induced hypomethylation of transcriptionally silenced tumor suppressor genes. Finally, cell culture-based findings were successfully validated in patient-derived 3D organoids. In conclusion, we demonstrate that Ginseng exerts its antitumorigenic potential by regulating cellular apoptosis via the downregulation of DNMTs and reversing the methylation status of transcriptionally silenced genes in CRC.

Andrographis Reverses Gemcitabine Resistance through Regulation of ERBB3 and Calcium Signaling Pathway in Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, primarily due to intrinsic or acquired resistance to chemotherapy, such as Gemcitabine (Gem). Naturally occurring botanicals, including Andrographis (Andro), can help enhance the anti-tumorigenic therapeutic efficacy of conventional chemotherapy through time-tested safety and cost-effectiveness. Accordingly, we hypothesized that Andro might reverse Gem resistance in PDAC. The critical regulatory pathways associated with Gem resistance in PDAC were identified by analyzing publicly available transcriptomic profiling and PDAC tissue specimens. A series of systematic in vitro experiments were performed using Gem-resistant (Gem-R) PDAC cells and patient-derived 3D-organoids to evaluate the Andro-mediated reversal of Gem resistance in PDAC. Transcriptomic profiling identified the calcium signaling pathway as a critical regulator of Gem-resistance (Fold enrichment: 2.8, p = 0.002). Within this pathway, high ERBB3 expression was significantly associated with poor prognosis in PDAC patients. The combination of Andro and Gem exhibited superior anti-cancer potential in Gem-R PDAC cells through potentiating cellular apoptosis. The combined treatment down-regulated ERBB3 and decreased intracellular calcium concentration in Gem-R PDAC cells. Finally, these findings were successfully interrogated in patient-derived 3D-organoids. In conclusion, we demonstrate novel evidence for Andro-mediated reversal of chemoresistance to Gem in PDAC cells through the regulation of ERBB3 and calcium signaling.

An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer.

BACKGROUND: According to current guidelines, more than 70% of patients with invasive submucosal colorectal cancer (T1 CRC) undergo a radical operation with lymph node dissection, even though only ~ 10% have lymph node metastasis (LNM). Hence, there is imperative to develop biomarkers that can help robustly identify LNM-positive patients to prevent such overtreatments. Given the emerging interest in exosomal cargo as a source for biomarker development in cancer, we examined the potential of exosomal miRNAs as LNM prediction biomarkers in T1 CRC. METHODS: We analyzed 200 patients with high-risk T1 CRC from two independent cohorts, including a training (n = 58) and a validation cohort (n = 142). Cell-free and exosomal RNAs from pre-operative serum were extracted, followed by quantitative reverse-transcription polymerase chain reactions for a panel of miRNAs. RESULTS: A panel of four miRNAs (miR-181b, miR-193b, miR-195, and miR-411) exhibited robust ability for detecting LNM in the exosomal vs. cell-free component. We subsequently established a cell-free and exosomal combination signature, successfully validated in two independent clinical cohorts (AUC, 0.84; 95% CI 0.70-0.98). Finally, we developed a risk-stratification model by including key pathological features, which reduced the false positive rates for LNM by 76% without missing any true LNM-positive patients. CONCLUSIONS: Our novel exosomal miRNA-based liquid biopsy signature robustly identifies T1 CRC patients at risk of LNM in a preoperative setting. This could be clinically transformative in reducing the significant overtreatment burden of this malignancy.

A liquid biopsy signature for predicting early recurrence in patients with gastric cancer.

BACKGROUND: Gastric cancer (GC) patients who experience recurrence within the first year following surgery (early recurrence [ER]) exhibit worse prognosis. Herein, we established a microRNA-based liquid biopsy assay to predict ER in GC patients. METHODS: A comprehensive biomarker discovery was performed by analysing miRNA expression profiling in 271 primary GC tumours. Thereafter, the expression of these biomarkers was validated in 290 GC cases, which included 218 tissues and 72 pre-treatment sera, from two independent institutions. RESULTS: A panel of 8 miRNAs was identified during the initial biomarker discovery, and this panel could robustly predict ER in a tissue-based clinical cohort (area under the curve [AUC]: 0.81). Furthermore, a model combining the miRNA panel, microsatellite instability (MSI) status and tumour size exhibited superior predictive performance (AUC: 0.86), and was defined as a Prediction of Early Recurrence in GC (PERGC) signature, which was successfully validated in another independent cohort (AUC: 0.82). Finally, the PERGC signature was translated into a liquid biopsy assay (AUC: 0.81), and a multivariate regression analysis revealed this signature to be an independent predictor for ER (odds ratio: 11.20). CONCLUSION: We successfully established a miRNA-based liquid biopsy signature that robustly predicts the risk of ER in GC patients.

Deep learning-based diagnostic model for predicting complications after gastrectomy.

BACKGROUND: Gastric cancer is one of the leading causes of cancer deaths, and gastrectomy with lymph node dissection is the mainstay of treatment. Despite clinician efforts and advances in surgical methods, the incidence of complications after gastrectomy remains 10%-20% including fatalities. To the best of our knowledge, this is the first report on utilization of a deep learning method to build a new artificial intelligence model that could help surgeons diagnose these complications. METHODS: A neural network was constructed with a total of 4000 variables. Clinical, surgical, and pathological data of patients who underwent radical gastrectomy at our institute were collected to maintain a deep learning model. We optimized the parameters of the neural network to diagnose whether these patients would develop complications after gastrectomy or not. RESULTS: Seventy percent of the data was used to optimize the neural network parameters, and the rest was used to validate the model. A model that maximized the receiver operating characteristics (ROC) area under the curve (AUC) for validation of the data was extracted. The ROC-AUC, sensitivity, and specificity of the model to diagnose all complications were 0.8 vs 0.7, 81% vs 50%, and 69% vs 75%, for the teaching and validation data, respectively. CONCLUSIONS: A predictive model for postoperative complications after radical gastrectomy was successfully constructed using the deep learning method. This model can help surgeons accurately predict the incidence of complications on postoperative day 3.

Berberine Overcomes Gemcitabine-Associated Chemoresistance through Regulation of Rap1/PI3K-Akt Signaling in Pancreatic Ductal Adenocarcinoma.

Gemcitabine (Gem)-based chemotherapy is one of the first-line treatments for pancreatic ductal adenocarcinoma (PDAC). However, its clinical effect is limited due to development of chemoresistance. Various naturally occurring compounds, including Berberine (BBR), provide an anti-cancer efficacy with time-tested safety, individually and in combination with chemotherapeutic drugs. Accordingly, we hypothesized that BBR might enhance the chemosensitivity to Gem in PDAC. In this study, cell culture studies using MIA PaCa-2 and BxPC-3 cells, followed by analysis in patient-derived organoids were performed to evaluate the anti-cancer effects of BBR in PDAC. Considering that cancer is a significant manifestation of increased chronic inflammatory stress, systems biology approaches are prudent for the identification of molecular pathways and networks responsible for phytochemical-induced anti-cancer activity, we used these approaches for BBR-mediated chemosensitization to Gem. Firstly, Gem-resistant (Gem-R) PDAC cells were established, and the combination of BBR and Gem revealed superior anti-cancer efficacy in Gem-R cells. Furthermore, the combination treatment induced cell cycle arrest and apoptosis in Gem-R PDAC cells. Transcriptomic profiling investigated the Rap1 and PI3K-Akt signaling pathway as a key regulator of Gem-resistance and was a key mediator for BBR-mediated chemosensitization in PDAC cells. All cell culture-based findings were successfully validated in patient-derived organoids. In conclusion, we demonstrate that BBR-mediated reversal of chemoresistance to Gem manifests through Rap1/PI3K-Akt signaling in PDAC.

Pediatric Respiratory Virus Infections During the COVID-19 Pandemic in a Region Without Active Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Circulation.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections were not prevalent in Yonago and its vicinity during autumn 2020, and the relative frequencies of pathogen-induced respiratory infections during this period are unclear. Methods: We collected 109 nasopharyngeal swabs from 93 pediatric patients who visited Tottori University Hospital between October 1, 2020, and March 31, 2021. These samples were comprehensively tested for 18 pathogens with the FilmArray® respiratory panel test (v2.1) using nested real-time polymerase chain reaction, and the frequency of pathogens detected per month was calculated. In addition, we compared the duration of fever and the blood test results of patients infected with each pathogen or multiple pathogens. Results: Of the 109 samples, 42 were obtained from female patients and 67 from male patients (median age, 3 years; range, 0-15 years). Overall, 62 patients (56.9%) had a fever ≥ 38 °C at the time of examination, and the median duration of fever ≥ 38 °C was 2 days (1-12). During the study period, the highest number of samples (22) were collected in November 2020. Among samples that tested positive, the most common pathogens were rhino/enteroviruses (52 samples; 76.5%), followed by adenoviruses (7 samples; 10.3%), coronavirus NL63 (6 samples; 8.8%), coronavirus OC43, parainfluenza virus type 1, and parainfluenza virus type 2 (1 sample each; 1.5% each). The duration of fever was significantly longer in adenovirus-infected patients than in patients infected with other viruses (P < 0.05). Hemoglobin and sodium levels were also significantly lower among the adenovirus-infected patients. However, these variations were mostly within the normal range. No clinically meaningful differences were found between rhino/enterovirus-infected and non-rhino/enterovirus-infected cases, between coronavirus NL63-infected and non-coronavirus NL63-infected cases, and between cases with multiple- and single-pathogen infections. Conclusion: Rhino/enteroviruses were the most common viruses causing respiratory tract infections in areas without endemic SARS-CoV-2.

Corrigendum: Berberine and Oligomeric Proanthocyanidins Exhibit Synergistic Efficacy Through Regulation of PI3K-Akt Signaling Pathway in Colorectal Cancer.

[This corrects the article DOI: 10.3389/fonc.2022.855860.].

A Transcriptomic Liquid Biopsy Assay for Predicting Resistance to Neoadjuvant Therapy in Esophageal Squamous Cell Carcinoma.

OBJECTIVE: The aim of this study was to establish a liquid-biopsy assay to predict response to neoadjuvant therapy (NAT) in esophageal squamous cell carcinoma (ESCC) patients. SUMMARY BACKGROUND DATA: Pretreatment prediction of resistance to NAT is of great significance for the selection of treatment options in ESCC patients. In this study, we comprehensively translated tissue-based microRNA (miRNA) and messenger RNA (mRNA) expression biomarkers into a liquid biopsy assay. METHODS: We analyzed 186 clinical ESCC samples, which included 128 formalin-fixed paraffin-embedded and a matched subset of 58 serum samples, from 2 independent institutions. We performed quantitative reverse-transcription polymerase chain reaction, and developed a resistance-prediction model using the logistic regression analyses. RESULTS: We first evaluated the potential of 4-miRNAs and 3-mRNAs panel, which robustly predicted resistance to NAT [area under the curve (AUC): 0.85]. Moreover, addition of tumor size to this panel increased predictive potential to establish a combination signature (AUC: 0.92). We successfully validated this signature performance in independent cohort, and our model was more accurate when the signature was combined with clinical predictors (AUC: 0.81) to establish a NAT resistance risk (NATRR) model. Finally, we successfully translated our NATRR model into a liquid biopsy assay (AUC: 0.78), and a multivariate regression analysis revealed this model as an independent predictor for response to NAT (odds ratio: 6.10; P < 0.01). CONCLUSIONS: We successfully developed a liquid biopsy-based assay that allows robust prediction of response to NAT in ESCC patients, and our assay provides fundamentals of developing precision-medicine.

Berberine and Oligomeric Proanthocyanidins Exhibit Synergistic Efficacy Through Regulation of PI3K-Akt Signaling Pathway in Colorectal Cancer.

Background: Naturally occurring dietary botanicals offer time-tested safety and anti-cancer efficacy, and a combination of certain compounds has shown to overcome the elusive chemotherapeutic resistance, which is of great significance for improving the mortality of patients with colorectal cancer (CRC). Accordingly, herein, we hypothesized that berberine (BBR) and oligomeric proanthocyanidins (OPCs) might regulate synergistically multiple oncogenic pathways to exert a superior anti-cancer activity in CRC. Methods: We performed a series of cell culture studies, followed by their interrogation in patient-derived organoids to evaluate the synergistic effect of BBR and OPCs against CRC. In addition, by performing whole genome transcriptomic profiling we identified the key targeted genes and pathways regulated by the combined treatment. Results: We first demonstrated that OPCs facilitated enhanced cellular uptake of BBR in CRC cells by measuring the fluorescent signal of BBR in cells treated individually or their combination. The synergism between BBR and OPCs were investigated in terms of their anti-tumorigenic effect on cell viability, clonogenicity, migration, and invasion. Furthermore, the combination treatment potentiated the cellular apoptosis in an Annexin V binding assay. Transcriptomic profiling identified oncogene MYB in PI3K-AKT signaling pathway might be critically involved in the anti-tumorigenic properties of the combined treatment. Finally, we successfully validated these findings in patient-derived CRC tumor organoids. Conclusions: Collectively, we for the first time demonstrate that a combined treatment of BBR and OPCs synergistically promote the anti-tumorigenic properties in CRC possibly through the regulation of cellular apoptosis and oncogene MYB in the PI3K-Akt signaling pathway.

Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligence.

PURPOSE: We are attempting to develop a navigation system for safe and effective peripancreatic lymphadenectomy in gastric cancer surgery. As a preliminary study, we examined whether or not the peripancreatic dissection line could be learned by a machine learning model (MLM). METHODS: Among the 41 patients with gastric cancer who underwent radical gastrectomy between April 2019 and January 2020, we selected 6 in whom the pancreatic contour was relatively easy to trace. The pancreatic contour was annotated by a trainer surgeon in 1242 images captured from the video recordings. The MLM was trained using the annotated images from five of the six patients. The pancreatic contour was then segmented by the trained MLM using images from the remaining patient. The same procedure was repeated for all six combinations. RESULTS: The median maximum intersection over union of each image was 0.708, which was higher than the threshold (0.5). However, the pancreatic contour was misidentified in parts where fatty tissue or thin vessels overlaid the pancreas in some cases. CONCLUSION: The contour of the pancreas could be traced relatively well using the trained MLM. Further investigations and training of the system are needed to develop a practical navigation system.

Prognostic Value of Intraoperative Blood Transfusion in Patients with Adenocarcinoma of the Esophagogastric Junction.

Background and objectives: Adenocarcinoma of the esophagogastric junction (AEG) has a complicated surgical anatomy, due to which it sometimes induces excessive intraoperative blood loss that necessitates intraoperative blood transfusion (BTF). However, few reports have focused on the impact of BTF on the survival outcomes of patients with AEG. We aimed to evaluate the impact of BTF on AEG prognosis. Materials andMethods: We included 63 patients who underwent surgical resection for AEG at our hospital between January 2010 and September 2020. Clinicopathological characteristics and survival outcomes were compared between patients with (n = 12) and without (n = 51) BTF. Multivariate analysis was performed to identify the independent prognostic factors for overall survival. Results: None of the patients who underwent minimally invasive surgery received BTF. Patients who received BTF had a significantly worse 5-year survival rate than those who did not (67.8% vs. 28.3%, p = 0.001). BTF was an independent risk factor for overall survival (hazard ratio: 3.90, 95% confidence interval 1.30-11.7), even after patients who underwent minimally invasive surgery were excluded. Conclusions: BTF adversely affected the survival outcomes of patients with AEG who underwent curative surgery. To avoid BTF, surgeons should strive to minimize intraoperative bleeding.