Integrated Chinese Herbal Medicine and Western Medicine on the Survival in Patients with Colorectal Cancer: A Retrospective Study of Medical Records

Integrating UHPLC-Q-TOF-MS/MS, network pharmacology, bioinformatics and experimental validation to uncover the anti-cancer mechanisms of TiaoPi AnChang decoction in colorectal cancer

ETHNOPHARMACOLOGICAL RELEVANCE

The TiaoPi AnChang Decoction (TPACD), a Traditional Chinese Medicine (TCM) prescription based on Xiangsha Liujunzi Decoction, has demonstrated clinical efficacy as an adjuvant therapy for colorectal cancer (CRC) patients. However, its specific ingredients and potential mechanisms of action remain unclear.

AIM OF THE STUDY

To identify the primary active ingredients of TPACD, their molecular targets, and potential mechanisms underlying the efficacy of TPACD in CRC treatment.

MATERIALS AND METHODS

This study investigated the clinically validated TCM formula TPACD. In vitro and in vivo experiments were used to demonstrate TPACD's regulatory effects on various malignant phenotypes of tumors, providing basic research support for its anti-cancer activity. To understand its pharmacodynamic basis, we utilized ultra-high performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry/mass spectrometry (UHPLC-Q-TOF-MS/MS) to analyze TPACD constituents present in the bloodstream. Network pharmacology and bioinformatics analyses were used to identify potential active components and their molecular targets for TPACD's therapeutic effects in CRC. Subsequent experiments further elucidated its pharmacological mechanism.

RESULTS

TPACD inhibits various malignant cellular processes, such as cell proliferation, apoptosis, migration, and invasion, and has shown potential anti-CRC activities both in vitro and in vivo. Following the identification of 109 constituents absorbed into the blood from TPACD, network pharmacology analysis predicted 42 potential anti-CRC targets. Clinical analyses highlighted three genes as prognostic key genes of TPACD's therapeutic action: C-X-C motif chemokine ligand 8 (CXCL8), fatty acid binding protein 4 (FABP4), and matrix metallopeptidase 3 (MMP3). Drug sensitivity analyses, molecular docking simulations and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) identified MMP3 as the most promising target for TPACD's anti-CRC action. Enzyme activity assays confirmed that TPACD inhibits MMP3 enzyme activity. Surface plasmon resonance (SPR) characterized the binding affinity between MMP3 and effective active components of TPACD, including luteolin, quercetin, kaempferol, and liensinine.

CONCLUSIONS

TPACD exhibits anti-CRC activity in vitro and in vivo, with MMP3 identified as a critical target. The active compounds, including luteolin, quercetin, kaempferol, and liensinine, absorbed into the bloodstream, contribute to TPACD's efficacy by targeting MMP3.

Using Advanced Convolutional Neural Network Approaches to Reveal Patient Age, Gender, and Weight Based on Tongue Images

The human tongue has been long believed to be a window to provide important insights into a patient's health in medicine. The present study introduced a novel approach to predict patient age, gender, and weight inferences based on tongue images using pretrained deep convolutional neural networks (CNNs). Our results demonstrated that the deep CNN models (e.g., ResNeXt) trained on dorsal tongue images produced excellent results for age prediction with a Pearson correlation coefficient of 0.71 and a mean absolute error (MAE) of 8.5 years. We also obtained an excellent classification of gender, with a mean accuracy of 80% and an AUC (area under the receiver operating characteristic curve) of 88%. ResNeXt model also obtained a moderate level of accuracy for weight prediction, with a Pearson correlation coefficient of 0.39 and a MAE of 9.06 kg. These findings support our hypothesis that the human tongue contains crucial information about a patient. This study demonstrated the feasibility of using the pretrained deep CNNs along with a large tongue image dataset to develop computational models to predict patient medical conditions for noninvasive, convenient, and inexpensive patient health monitoring and diagnosis.

Traditional Chinese Medicine JianPiHuaTan formula improving quality of life and survival in patients with colorectal cancer through RAS/RAF downstream signaling pathways

Objective

JianPiHuaTan Formula (JPHTF), a traditional Chinese medicine (TCM), has been utilized as an adjunctive therapy for colorectal cancer (CRC). The study aims to evaluate the potential clinical benefits of JPHTF and its effectiveness in inhibiting tumor growth.

Methods

300 stage II/III CRC patients and 412 advanced CRC patients were enrolled to verify the clinical value of JPHTF in CRC treatment. Furthermore, CRC patient-derived xenograft (PDX) mice were utilized to investigate the regulatory mechanisms of JPHTF.

Results

JPHTF significantly improved abdominal distension, shortness of breath, drowsiness, loss of appetite, sleep, and tiredness in stage II/III CRC patients, thereby improving their quality of life. Simultaneously, JPHTF served as a supportive therapy in extending the overall survival (OS) of stage IV CRC patients with RAS/RAF mutations undergoing chemotherapy. Additionally, JPHTF effectively impeded tumor progression in CRC PDX models with RAS mutation, accompanied by a reduction in tumor cell content in the JPHTF group. Transcriptomic analysis revealed the involvement of the Hippo and Hedgehog signaling pathways in JPHTF-mediated CRC inhibition. Furthermore, mice in the JPHTF group exhibited increased immune cell infiltration.

Conclusion

These findings suggested that JPHTF may inhibits tumor growth in CRC with RAS mutation by modulating RAS/RAF downstream signaling pathways, specifically the Hippo and Hedgehog signaling, leading to increased immune cell infiltration.

Dynamic Treatment Strategy of Chinese Medicine for Metastatic Colorectal Cancer Based on Machine Learning Algorithm

OBJECTIVE

To establish the dynamic treatment strategy of Chinese medicine (CM) for metastatic colorectal cancer (mCRC) by machine learning algorithm, in order to provide a reference for the selection of CM treatment strategies for mCRC.

METHODS

From the outpatient cases of mCRC in the Department of Oncology at Xiyuan Hospital, China Academy of Chinese Medical Sciences, 197 cases that met the inclusion criteria were screened. According to different CM intervention strategies, the patients were divided into 3 groups: CM treatment alone, equal emphasis on Chinese and Western medicine treatment (CM combined with local treatment of tumors, oral chemotherapy, or targeted drugs), and CM assisted Western medicine treatment (CM combined with intravenous regimen of Western medicine). The survival time of patients undergoing CM intervention was taken as the final evaluation index. Factors affecting the choice of CM intervention scheme were screened as decision variables. The dynamic CM intervention and treatment strategy for mCRC was explored based on the cost-sensitive classification learning algorithm for survival (CSCLSurv). Patients' survival was estimated using the Kaplan-Meier method, and the survival time of patients who received the model-recommended treatment plan were compared with those who received actual treatment plan.

RESULTS

Using the survival time of patients undergoing CM intervention as the evaluation index, a dynamic CM intervention therapy strategy for mCRC was established based on CSCLSurv. Different CM intervention strategies for mCRC can be selected according to dynamic decision variables, such as gender, age, Eastern Cooperative Oncology Group score, tumor site, metastatic site, genotyping, and the stage of Western medicine treatment at the patient's first visit. The median survival time of patients who received the model-recommended treatment plan was 35 months, while those who receive the actual treatment plan was 26.0 months (P=0.06).

CONCLUSIONS

The dynamic treatment strategy of CM, based on CSCLSurv for mCRC, plays a certain role in providing clinical hints in CM. It can be further improved in future prospective studies with larger sample sizes.

Utilization patterns and prescription characteristics of traditional Chinese medicine among patients with irritable bowel syndrome in Taiwan

Background: Few studies have investigated traditional Chinese medicine (TCM) utilization patterns for irritable bowel syndrome (IBS), despite the potential benefits of exploring TCM utilization patterns in optimizing TCM management. This study aimed to evaluate TCM utilization patterns and clinical features for IBS patterns in Taiwan. Methods: This was a population-based cross-sectional study using claim data from the National Health Insurance Research Database between 2012 and 2018. Patients newly diagnosed with IBS and aged over 20 years were included. The TCM utilization patterns and characteristics, including Chinese herbal medicine (CHM) treatment types and prescription patterns, were evaluated. Results: A total of 73,306 patients newly diagnosed with IBS used TCM for IBS at least once. Females used TCM for IBS more than males (female-to-male ratio = 1.89: 1). The age distribution showed a peak at 30-39 years (27.29%), followed by 40-49 years (20.74%) and 20-29 years (20.71%). Patients who received Western medications for IBS had a lower tendency to seek TCM. CHM was the most commonly used TCM modality (98.22%), with Jia-wei-xiao-yao-san being the most commonly prescribed Chinese herbal formula and Bai-zhu being the most frequently prescribed single Chinese herb. Conclusion: This study enhances our understanding of TCM usage patterns for IBS, particularly CHM prescriptions. Further research is needed to investigate commonly used TCM formulas and individual herbs.

Association between Oral Chinese Herbal Medicine and Recurrence and Metastasis in Patients with Stages II and III Colorectal Cancer: A Cohort Study in China

Background. To evaluate the associations between long-term oral Chinese herbal medicines (CHMs) and recurrence and metastasis (R&M) in patients with stage II and III colorectal cancer (CRC). Furthermore, we aimed to determine the correlation between different syndrome patterns and prognosis and summarized the regularities among CHMs prescriptions, providing reference for clinical practice. Methods. An ambispective cohort study was conducted. All CRC patients who sought evaluation and treatment at Xiyuan Hospital and Beijing Cancer Hospital from August 2014 to August 2016 were included. In this study, “whether patients voluntarily take CHMs” was taken as the exposure factor, and the exposure degree was “the duration of CHM use.” Stratification was performed according to the duration of TCM use to determine the relationship with R&M of CRC. The primary outcome was disease-free survival. Patients who had R&M of CRC after taking CHMs for ≥6 months were defined as “worst patients.” R software was used for statistical analysis. The Kaplan–Meier method and Cox regression analysis were used to determine the prognosis. IBM SPSS was used to model a priori association rules; drug use rules were analyzed on this basis. Results. A total of 186 patients with stage II and III CRC after radical resection were enrolled. All patients reached the study endpoint by August 2021. The difference in disease-free survival between the two groups was most significant when the cutoff value for CHMs was 18 months ( $P=0.0012$ ). Multivariate analysis showed that 18 CHMs were independent protective factors for R&M of CRC ( $P=0.001$ , HR = 0.20, 95% CI = 0.08–0.53). The ratio of Pi (spleen) and Shen (kidney) deficiency in the worst cases was higher than patients without R&M ( $P=0.018$ ). Sijunzi and Liuwei Dihuang decoctions were the most frequently used prescriptions in the anti-R&M phase. Conclusion. CHMs complying with the “Jianpi Bushen” principle may attenuate the risk of R&M in patients with stage II and III CRC. Pi (spleen) and Shen (kidney) deficiency in patients receiving TCM intervention for the first time within 6 months of radical resection may be associated with a higher CRC R&M rate. Further research is warranted to validate these findings and elucidate underlying biological mechanisms.

Smartphone-Based and Data-Driven Superstructure State Prediction Method for Highway Bridges in Service

Survival analysis is a data-driven approach that is widely used in various fields of biomedical prognostic research, and it is highly reliable in the processing of time-event data. This study developed a method for evaluating the service performance of bridge superstructures using the built-in acceleration sensor of smartphones and the prediction of survival analysis theory. It will be used to assist in the daily maintenance and repair of small and medium bridges. The effects of the upper load-bearing structure, upper general structure, bearings, deck paving, expansion joints, and frequency ratio on the deterioration of the bridge superstructure were investigated. The results show that the first-order vibration frequency of the bridge can be effectively detected by the built-in acceleration sensor of the mobile phone, but its low sensitivity and high output noise make it impossible to accurately detect the higher-order frequencies of the bridge. The upper load-bearing members, the upper general structure, the bearing, the deck pavement, and the frequency ratio are all related to the changing trend of the technical condition level of the bridge superstructure.

Clinical Evaluation of Pinggan Yiqi Yangshen Recipe Combined with Labetalol Hydrochloride and Magnesium Sulfate in the Treatment of PIH

Background

To observe the clinical effect of Pinggan Yiqi Yangshen recipe combined with labetalol hydrochloride and magnesium sulfate in the treatment of pregnancy-induced hypertension (PIH).

Methods

A total of 126 patients with PIH diagnosed in our hospital from January 2016 to May 2018 were randomly divided into the control group and the experimental group, with 63 cases in each group. The control group was treated with labetalol combined with magnesium sulfate. On the basis of the control group, the experimental group was treated with Pinggan Yiqi Yangshen recipe. Clinical efficacy, blood pressure, renal function, and biochemical indexes were compared between the two groups. Moreover, pregnancy outcomes and adverse reactions were compared between the two groups.

Results

After treatment, the total effective rate in the experimental group was higher than in the control group. Blood pressure and mean arterial pressure in the experimental group were more significantly downregulated than the control group. Renal function indexes and biochemical indexes in the experimental group were more significant than those in the control group. The incidence of cesarean section, preterm birth, and abnormal fetal heart rate in the experimental group was significantly lower than that in the control group. There was no difference in the incidence of fetal distress, postpartum hemorrhage, neonatal asphyxia, and adverse reactions between the two groups.

Conclusion

Pinggan Yiqi Yangshen recipe combined with labetalol hydrochloride and magnesium sulfate can effectively reduce the blood pressure of patients with PIH, help patients to return to normal levels of biochemical indexes and renal function indexes, and improve pregnancy outcomes with high safety, which is worthy of further promotion and application in clinical practice.

Potential Role of Traditional Chinese Medicines by Wnt/β-Catenin Pathway Compared With Targeted Small Molecules in Colorectal Cancer Therapy

Colorectal cancer (CRC) has become a global public health problem because of its high incidence and mortality rate worldwide. The previous clinical treatment for CRC mainly involves conventional surgery, chemotherapy, and radiotherapy. With the development of tumor molecular targeted therapy, small molecule inhibitors present a great advantage in improving the survival of patients with advanced CRC. However, various side effects and drug resistance induced by chemotherapy are still the major obstacles to improve the clinical benefit. Thus, it is crucial to find new and alternative drugs for CRC treatment. Traditional Chinese medicines (TCMs) have been proved to have low toxicity and multi-target characteristics. In the last few decades, an increasing number of studies have demonstrated that TCMs exhibit strong anticancer effects in both experimental and clinical models and may serve as alternative chemotherapy agents for CRC treatment. Notably, Wnt/β-catenin signaling pathway plays a vital role in the initiation and progression of CRC by modulating the stability of β-catenin in the cytoplasm. Targeting Wnt/β-catenin pathway is a novel direction for developing therapies for CRC. In this review, we outlined the anti-tumor effects of small molecular inhibitors on CRC through Wnt/β-catenin pathway. More importantly, we focused on the potential role of TCMs against tumors by targeting Wnt/β-catenin signaling at different stages of CRC, including precancerous lesions, early stage of CRC and advanced CRC. Furthermore, we also discussed perspectives to develop potential new drugs from TCMs via Wnt/β-catenin pathway for the treatment of CRC.

Cohort Studies on Chronic Non-communicable Diseases Treated With Traditional Chinese Medicine: A Bibliometric Analysis

Cohort studies investigating the treatment of chronic non-communicable diseases (NCDs) with traditional Chinese medicine (TCM) have considerably accumulated in recent years. To systematically and for the first time present the achievements and dilemmas of cohort studies, strict inclusion and exclusion criteria were used to search publications from the Web of Science, PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure databases for cohort studies on NCDs with TCM since the establishment of these databases. Information on the year of publication, exposure factors, diseases, and outcome indicators was obtained, and a literature quality assessment and bibliometric descriptive analysis were conducted. A total of 182 published articles involving 1,615,106 cases were included. There were 110 non-prospective cohort studies and 72 prospective cohort studies. The diseases involved in the cohort studies were, in the order of the number of published articles, malignant tumors (82 articles, 45.05%), cardiovascular diseases (35 articles, 19.23%), neurological diseases (29 articles, 15.93%), chronic kidney diseases (16 articles, 8.79%), liver cirrhosis (8 articles, 4.40%), diabetes mellitus (8 articles, 4.40%), and chronic respiratory diseases (4 articles, 2.20%). The study participants were mainly from China (177 articles, 97.25%). The number of cohort studies increased significantly in the last 5 years (65 articles, 35.71%), and following the Newcastle-Ottawa Scale (NOS) literature quality evaluation, the number of articles that received a score of four to five was high (116 articles, 63.73%), and the overall quality needs to be improved. The application of cohort studies in the field of TCM for the prevention and treatment of NCDs has developed rapidly in the past 5 years, focusing on the prevention and treatment of tumors as well as cardiovascular and cerebrovascular diseases. However, the design and implementation of cohort studies still have considerable limitations. To provide more clinical evidence, researcher should actively cooperate with evidence-based methodologists and standardize the implementation of cohort studies.