Efficacy and safety of TCM combined with chemotherapy for SCLC: a systematic review and meta-analysis

The mechanism and application of traditional Chinese medicine extracts in the treatment of lung cancer and other lung-related diseases

Lung cancer stands as one of the most prevalent malignancies worldwide, bearing the highest morbidity and mortality rates among all malignant tumors. The treatment of lung cancer primarily encompasses surgical procedures, radiotherapy, and chemotherapy, which are fraught with significant side effects, unfavorable prognoses, and a heightened risk of metastasis and relapse. Although targeted therapy and immunotherapy have gradually gained prominence in lung cancer treatment, diversifying the array of available methods, the overall recovery and survival rates for lung cancer patients remain suboptimal. Presently, with a holistic approach and a focus on syndrome differentiation and treatment, Traditional Chinese Medicine (TCM) has emerged as a pivotal player in the prognosis of cancer patients. TCM possesses characteristics such as targeting multiple aspects, addressing a wide range of concerns, and minimizing toxic side effects. Research demonstrates that Traditional Chinese Medicine can significantly contribute to the treatment or serve as an adjunct to chemotherapy for lung cancer and other lung-related diseases. This is achieved through mechanisms like inhibiting tumor cell proliferation, inducing tumor cell apoptosis, suppressing tumor angiogenesis, influencing the cellular microenvironment, regulating immune system function, impacting signal transduction pathways, and reversing multidrug resistance in tumor cells. In this article, we offer an overview of the advancements in research concerning Traditional Chinese Medicine extracts for the treatment or adjunctive chemotherapy of lung cancer and other lung-related conditions. Furthermore, we delve into the challenges that Traditional Chinese Medicine extracts face in lung cancer treatment, laying the foundation for the development of diagnostic, prognostic, and therapeutic targets.

Machine learning prediction models for different stages of non-small cell lung cancer based on tongue and tumor marker: a pilot study

OBJECTIVE

To analyze the tongue feature of NSCLC at different stages, as well as the correlation between tongue feature and tumor marker, and investigate the feasibility of establishing prediction models for NSCLC at different stages based on tongue feature and tumor marker.

METHODS

Tongue images were collected from non-advanced NSCLC patients (n = 109) and advanced NSCLC patients (n = 110), analyzed the tongue images to obtain tongue feature, and analyzed the correlation between tongue feature and tumor marker in different stages of NSCLC. On this basis, six classifiers, decision tree, logistic regression, SVM, random forest, naive bayes, and neural network, were used to establish prediction models for different stages of NSCLC based on tongue feature and tumor marker.

RESULTS

There were statistically significant differences in tongue feature between the non-advanced and advanced NSCLC groups. In the advanced NSCLC group, the number of indexes with statistically significant correlations between tongue feature and tumor marker was significantly higher than in the non-advanced NSCLC group, and the correlations were stronger. Support Vector Machine (SVM), decision tree, and logistic regression among the machine learning methods performed poorly in models with different stages of NSCLC. Neural network, random forest and naive bayes had better classification efficiency for the data set of tongue feature and tumor marker and baseline. The models' classification accuracies were 0.767 ± 0.081, 0.718 ± 0.062, and 0.688 ± 0.070, respectively, and the AUCs were 0.793 ± 0.086, 0.779 ± 0.075, and 0.771 ± 0.072, respectively.

CONCLUSIONS

There were statistically significant differences in tongue feature between different stages of NSCLC, with advanced NSCLC tongue feature being more closely correlated with tumor marker. Due to the limited information, single data sources including baseline, tongue feature, and tumor marker cannot be used to identify the different stages of NSCLC in this pilot study. In addition to the logistic regression method, other machine learning methods, based on tumor marker and baseline data sets, can effectively improve the differential diagnosis efficiency of different stages of NSCLC by adding tongue image data, which requires further verification based on large sample studies in the future.

The Effects of Complementary Therapies on Patient-Reported Outcomes: An Overview of Recent Systematic Reviews in Oncology

Many patients with cancer make use of complementary medicine alongside conventional medicine, but clinicians in oncology often lack the knowledge to adequately advise patients on the evidence base for complementary therapies. This study aims to provide an overview of recently published systematic reviews that assess the effects of complementary therapies on patient-reported health outcomes in patients with cancer. Systematic reviews, including a meta-analysis of at least two randomized controlled trials, were identified from the PubMed, Embase, Cochrane Library, CINAHL and PsycINFO databases. The methodological quality was assessed with AMSTAR 2. One hundred systematic reviews were included. The results suggest that several complementary therapies can improve health outcomes reported by patients with cancer, such as acupuncture to relieve pain, music interventions to reduce anxiety and yoga to improve cancer-related fatigue. The side effects related to complementary therapy use are generally mild. The results remain inconclusive for some intervention-outcome combinations. Many of the included systematic reviews insufficiently assessed the causes and impact of bias in their interpretation of the results. This overview of systematic reviews can support clinicians in counselling their patients on this topic and provide directions for future research and clinical practice guidelines in the field of complementary medicine.

Holistic immunomodulation for small cell lung cancer

Small cell lung cancer (SCLC) is characterized by a high mortality rate, rapid growth, and early metastasis, which lead to a poor prognosis. Moreover, limited clinical treatment options further lower the survival rate of patients. Therefore, novel technology and agents are urgently required to enhance clinical efficacy. In this review, from a holistic perspective, we summarized the therapeutic targets, agents and strategies with the most potential for treating SCLC, including chimeric antigen receptor (CAR) T therapy, immunomodulating antibodies, traditional Chinese medicines (TCMs), and the microbiota, which have been found recently to improve the clinical outcomes and prognosis of SCLC. Multiomics technologies can be integrated to develop effective diagnostic methods and identify new targets for new drug discovery in SCLC. We discussed in depth the feasibility, potential, and challenges of these new strategies, as well as their combinational treatments, which may provide promising alternatives for enhancing the clinical efficacy of SCLC in the future.

Clinical Efficacy and Safety of Traditional Medicine Preparations Combined With Chemotherapy for Advanced Pancreatic Cancer: A Systematic Review and Meta-Analysis

Background

Traditional medicine preparations (TMPs) combined with chemotherapy is widely used for patients with advanced pancreatic cancer (APC); however, its efficacy and safety are still unclear. The purpose of this meta-analysis was to evaluate the clinical efficacy and safety of TMPs combined with chemotherapy for the treatment of APC.

Methods

A systematic search of eight electronic databases for randomized controlled trials (RCTs) was conducted from inception to October 15, 2021. Tumor response was identified as primary outcome, whereas quality of life (QoL), cancer biomarkers, and adverse drug reactions (ADRs) were identified as secondary outcomes. Quality of the evidence for each outcome was evaluated by GRADE profiler.

Results

In total, 31 RCTs involving 1,989 individuals were included. This meta-analysis showed that TMPs combined with chemotherapy significantly improved the objective response rate (ORR) (RR=1.64, 95% CI [1.43 to 1.88], p <0.00001), disease control rate (DCR) (RR=1.29, 95% CI [1.21 to 1.38], p <0.00001), and QoL (continuous data: SMD=0.81, 95% CI [0.44 to 1.18], p <0.0001, dichotomous data: RR=1.44, 95% CI [1.22 to 1.70], p<0.0001), compared to those with chemotherapy alone. In addition, the combined treatment group also had lower levels of CA19-9 (SMD=-0.46, 95% CI [-0.90 to -0.02], p=0.04) and CEA (SMD=-0.55, 95% CI [-0.93 to -0.17], p=0.004). Moreover, TMPs reduced the ADRs during chemotherapy.

Conclusion

This systematic review suggests that TMPs combined with chemotherapy might be a potential option to enhance therapeutic effects and reduce ADRs during the treatment of APC. However, more high-quality randomized controlled trials with more participants are needed.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=209825, identifier PROSPERO Number: CRD42021264938.

Effects of Integrated Chinese Traditional Medicine and Conventional Western Medicine on the Quality of Life of Breast Cancer Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Traditional Chinese medicine has been widely used, in conjunction with conventional Western medicine, in clinical practice around the world to treat breast cancer. The study systematically reviewed and summarized the quality of life of breast cancer patients treated with integrated treatment method vs. conventional Western medicine.

METHODS

Eight databases including PubMed, EMBASE, Web of Science, the Cochrane Library, Chinese National Knowledge Infrastructure, China Biology Medicine Disc, Chinese Scientific Journal Database, and Wanfang Data knowledge service platform were searched in this study. The retrieval period was set from January 1, 2005, to December 31, 2020.

RESULTS

Twenty-two high-quality publications were included in this study. The total sample size was 1689 patients including 844 in the intervention group receiving traditional Chinese medicine combined with conventional Western medicine and 845 patients in the control group receiving conventional Western medicine only. Compared with the single-used conventional Western medicine treatment, an integrated approach to treat breast cancer can increase quality of life measured by rating scales (SMD = 1.29, 95% CI (1.07, 1.52) and P=0.01) and ranking scales (RR = 1.53, 95% CI (1.39 1.68) and P=0.02) and also decrease adverse reactions measured by rating scales (Z = 10.89, P < 0.05; Group 1: I ² = 9.0%, P=0.258, SMD = 1.03; and Group 2: I ² = 31.6%, P=0.199, SMD = 1.56). For further analysis, chemotherapy with epirubicin exhibited higher quality of life than the chemotherapy without epirubicin among breast cancer patients [Z = 19.80, P < 0.05; Group 1: I ² = 62.4%, P=0.070, SMD = 1.61; and Group 2: I ² = 9.0%, P=0.359, SMD = 1.04]. Despite the heterogeneity, which was due to a portion of relative low-quality literature or other factors, the results were satisfactory. In terms of secondary results, the patients with lower tumor markers (CEA and CA153) had better efficiency in quality of life with a statistically significant difference (SMD = 1.39, 95% CI: 1.10,1.67) for rating scales. In addition, secondary results related to high incidence of gastrointestinal adverse reactions (RR = 1.33, 95% CI (1.20, 1.48)) and the traditional Chinese medicine syndrome (RR = 1.50, 95% CI (1.28, 1.80))showed lower quality of life in the intervention group than the control group for ranking scales.

CONCLUSION

Traditional Chinese medicine, when used in conjunction with the conventional Western medicine, could be an effective way in improving the quality of life and alleviating incidence of associated adverse symptoms such as gastrointestinal adverse reactions, value of tumor markers, and the incidence of traditional Chinese medicine syndrome. Further investigation of larger and methodologically sound trials with longer follow-up periods and appropriate comparison groups is needed.

Health-Related Quality of Life and Utility Scores of Lung Cancer Patients Treated with Traditional Chinese Medicine in China

PURPOSE

To assess health-related quality of life (HRQoL) and utility scores of lung cancer patients treated with traditional Chinese medicine (TCM) in China.

METHODS

This cross-sectional study included lung cancer patients treated with TCM in seven tertiary hospitals in Shanghai, China. The HRQoL and utility scores of these patients were measured using the five-level EQ-5D (EQ-5D-5L). The EQ-5D-5L utility scores were derived from the Chinese EQ-5D-5L Value Set. The relationships between HRQoL and the socio-demographic and clinical characteristics of these patients were further explored by Tobit regression.

RESULTS

This study included a total of 347 patients. Their mean ± SD and median EQ-5D-5L utility scores were 0.851 ± 0.198 and 0.893, respectively. The highest proportion of participants reporting problems was observed in pain/discomfort dimension (57.9%) and anxiety/depression (45.5%). Lung cancer patients treated with TCM had poor HRQoL, influenced by cancer clinical stage.

CONCLUSION

Lung cancer patients treated with TCM have poor HRQoL, with many patients reporting problems in the pain/discomfort and anxiety/depression dimensions. The information on health utility scores and HRQoL of lung cancer patients treated with TCM could be useful for future supportive care, economic evaluations and decision-making in China.

Effectiveness and Safety of Chinese Herbal Injections Combined with Fluoropyrimidine and Oxaliplatin-based Chemotherapy for Advanced Colorectal Cancer: A Systematic Review and Meta-analysis of 63 Randomized Controlled Trials

Purpose: To investigate effectiveness and safety of Chinese herbal injections (CHIs) in conjunction with fluoropyrimidine and oxaliplatin-based chemotherapy (FOBC) for advanced colorectal cancer (CRC). Methods: A comprehensive search was conducted in 7 electronic databases for related randomized controlled trials (RCTs) from inception to April 30, 2021. The quality of each trial was assessed according to the Cochrane Handbook for Systematic Reviews of Interventions, the differences in effectiveness and safety outcomes between two groups were evaluated, and the results were expressed as the risk ratios (RRs) and 95% confidence interval (CI). Subgroup analyses were performed according to the types of CHIs, and Review Manager 5 was used to statistically analyze the outcomes. Results: 63 studies involving 9 CHIs and 4733 patients were included in this review. The meta-analysis results suggested that compared with FOBC therapy, CHIs plus FOBC therapy showed significant improvements in objective response rate (ORR) (RR=1.34, 95% CI: 1.27-1.42, P<0.00001), disease control rate (DCR) (RR=1.09, 95%CI: 1.06-1.11, P<0.00001), 1-year survival rate (RR=2.27, 95% CI: 1.23-4.18, P=0.009) and quality of life (QoL) (RR=1.21, 95% CI: 1.14-1.28, P<0.00001), and decreases in the incidence of chemotherapy-induced leukopenia (RR=0.64, 95% CI: 0.50-0.82, P<0.0005), nausea and vomiting (RR=0.65, 95% CI: 0.51-0.83, P=0.0005) and diarrhea (RR=0.34, 95% CI: 0.20-0.58, P<0.0001). Conclusion: From the evidence available, CHIs could increase ORR, DCR and 1-year survival rate, improve QoL and relieve chemotherapy-induced leukopenia, nausea and vomiting and diarrhea when combined with FOBC in advanced CRC treatment, Nevertheless, on account of the limitations, more rigorous RCTs with high-quality methodology were needed to further confirm the results.

Traditional herbal medicine combined with first-line platinum-based chemotherapy for advanced non-small-cell lung cancer: A PRISMA-compliant systematic review and meta-analysis

BACKGROUND

Non-small-cell lung cancer (NSCLC) is a major health burden in many countries. This review aimed to evaluate the efficacy of traditional herbal medicine (THM) combined with first-line platinum-based chemotherapy (PBCT) for the treatment of advanced NSCLC.

METHODS

From inception to April 2021, relevant studies were retrieved from 9 electronic databases. Randomized controlled trials (RCTs) comparing survival outcomes of THM + PBCT treatment with PBCT treatment in patients with advanced NSCLC were reviewed. The risk of bias was evaluated using the Cochrane Risk of Bias Tool. Overall survival, 1-year survival, progression-free survival or time to progression, tumor response rate, and adverse effects were analyzed.

RESULTS

Sixteen RCTs comprising 1445 patients were included. The meta-analysis indicated that THM + PBCT treatment, compared to PBCT alone, could improve overall survival (median survival ratio = 1.24, 95% confidence intervals [CI] [1.11, 1.39], P < .001), progression-free survival/time to progression (median survival ratio = 1.22, 95% CI [1.09, 1.37], P < .001), and the 1-year survival rate (risk ratio [RR] = 1.56, 95% CI [1.31, 1.86], P < .001). THM + PBCT also led to a higher tumor response rate (RR = 1.39, 95% CI [1.22, 1.59], P < .001) and lower incidence of thrombocytopenia (RR = 0.72, 95% CI [0.56, 0.92], P = .009) and nausea/vomiting (RR = 0.35, 95% CI [0.21, 0.57], P < .001), while there was no significant effect observed on leukopenia (RR = 0.68, 95% CI [0.34, 1.36], P = .27).

CONCLUSION

THM, when used in combination with PBCT, might increase survival and the tumor response rate while decreasing the side effects caused by chemotherapy in patients with advanced NSCLC. However, considering the limited methodological qualities of the included trials, more rigorous RCTs are needed.

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning

Objective

To explore the data characteristics of tongue and pulse of non-small-cell lung cancer with Qi deficiency syndrome and Yin deficiency syndrome, establish syndrome classification model based on data of tongue and pulse by using machine learning methods, and evaluate the feasibility of syndrome classification based on data of tongue and pulse.

Methods

We collected tongue and pulse of non-small-cell lung cancer patients with Qi deficiency syndrome (n = 163), patients with Yin deficiency syndrome (n = 174), and healthy controls (n = 185) using intelligent tongue diagnosis analysis instrument and pulse diagnosis analysis instrument, respectively. We described the characteristics and examined the correlation of data of tongue and pulse. Four machine learning methods, namely, random forest, logistic regression, support vector machine, and neural network, were used to establish the classification models based on symptom, tongue and pulse, and symptom and tongue and pulse, respectively.

Results

Significant difference indices of tongue diagnosis between Qi deficiency syndrome and Yin deficiency syndrome were TB-a, TB-S, TB-Cr, TC-a, TC-S, TC-Cr, perAll, and the tongue coating texture indices including TC-CON, TC-ASM, TC-MEAN, and TC-ENT. Significant difference indices of pulse diagnosis were t₄ and t₅. The classification performance of each model based on different datasets was as follows: tongue and pulse < symptom < symptom and tongue and pulse. The neural network model had a better classification performance for symptom and tongue and pulse datasets, with an area under the ROC curves and accuracy rate which were 0.9401 and 0.8806.

Conclusions

It was feasible to use tongue data and pulse data as one of the objective diagnostic basis in Qi deficiency syndrome and Yin deficiency syndrome of non-small-cell lung cancer.

Chinese Herbal Prescription Fu-Zheng-Qu-Xie Prevents Recurrence and Metastasis of Postoperative Early-Stage Lung Adenocarcinoma: A Prospective Cohort Study Followed with Potential Mechanism Exploration

Chinese herbal Fu-Zheng-Qu-Xie (FZQX) prescription has been found to improve the immune function and survival of patients with early-stage lung cancer. However, the therapeutic efficacy needs to be evaluated objectively, and the precise mechanism remains unclear. In the present study, a double-center, prospective cohort study was carried out to assess the clinical efficacy of the FZQX prescription in preventing the recurrence and metastasis of postoperative early-stage lung adenocarcinoma. Our results indicated that the FZQX prescription could significantly reduce the 3-year postoperative recurrence rate and improve the life quality. Moreover, the peripheral blood indices showed that the positive immune index (CD4 +T/CD8 +T) increased and the negative immune indices (CD8 +T, Myeloid-derived suppressor cells (MDSCs), Treg) decreased after treatment with the FZQX prescription. Since the positive regulatory effect of the FZQX prescription on immune function, a series of experiments were conducted to verify the tumor-suppressive effect and elucidate the underlying mechanisms. Through the MDSC clearance xenograft model, we confirmed that the FZQX prescription could effectively suppress tumor growth with lesser side effects in vivo, and MDSCs may be involved in the biological process of the FZQX prescription's intervention in lung cancer progression. By establishing the coculture system of MDSCs/LLC to simulate the immune microenvironment of lung cancer, the tumor suppression effect of the FZQX prescription was further validated by in vitro experiments. Besides, it was confirmed that the FZQX prescription could regulate MDSCs to remodel the immunosuppressive tumor microenvironment, thus exerting its preventive effect on relapse of lung cancer. Finally, the pathway activator and inhibitor were further used to explore the potential molecular mechanism. Results demonstrated that the IL-1β/NF-κB signaling pathway was one of the critical signaling pathways of FZQX prescription regulating MDSCs to prevent the recurrence and metastasis of lung adenocarcinoma.