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1.
Hepatobiliary Pancreat Dis Int ; 21(1): 10-24, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34538570

ABSTRACT

Pancreatic ductal adenocarcinoma (PDAC) is a common cause of cancer-related death, and most patients are with advanced disease when diagnosed. At present, despite a variety of treatments have been developed for PDAC, few effective treatment options are available; on the other hand, PDAC shows significant resistance to chemoradiotherapy, targeted therapy, and immunotherapy due to its heterogeneous genetic profile, molecular signaling pathways, and complex tumor immune microenvironment. Nevertheless, over the past decades, there have been many new advances in the key theory and understanding of the intrinsic mechanisms and complexity of molecular biology and molecular immunology in pancreatic cancer, based on which more and more diverse new means and reasonable combination strategies for PDAC treatment have been developed and preliminary breakthroughs have been made. With the continuous exploration, from surgical local treatment to comprehensive medical management, the research-diagnosis-management system of pancreatic cancer is improving. This review focused on the variety of treatments for advanced PDAC, including traditional chemotherapy, targeted therapy, immunotherapy, microenvironment matrix regulation as well as the treatment targeting epigenetics, metabolism and cancer stem cells. We pointed out the current research bottlenecks and future exploration directions.


Subject(s)
Carcinoma, Pancreatic Ductal/therapy , Molecular Targeted Therapy , Pancreatic Neoplasms/therapy , Precision Medicine/methods , Carcinoma, Pancreatic Ductal/genetics , Humans , Pancreatic Neoplasms/genetics , Tumor Microenvironment
2.
Chin Med J (Engl) ; 134(20): 2430-2437, 2021 Sep 30.
Article in English | MEDLINE | ID: mdl-34669636

ABSTRACT

BACKGROUND: Circulating tumor DNA (ctDNA) is a promising biomarker for non-invasive epidermal growth factor receptor mutations (EGFRm) detection in lung cancer patients, but existing methods have limitations in sensitivity and availability. In this study, we used the ΔCt value (mutant cycle threshold [Ct] value-internal control Ct value) generated during the polymerase chain reaction (PCR) assay to convert super-amplification-refractory mutation system (superARMS) from a qualitative method to a semi-quantitative method named reformed-superARMS (R-superARMS), and evaluated its performance in detecting EGFRm in plasma ctDNA in patients with advanced lung adenocarcinoma. METHODS: A total of 41 pairs of tissues and plasma samples were obtained from lung adenocarcinoma patients who had known EGFRm in tumor tissue and were previously untreated. EGFRm in ctDNA was identified by using superARMS. Through making use of ΔCt value generated during the detection process of superARMS, we indirectly transform this qualitative detection method into a semi-quantitative PCR detection method, named R-superARMS. Both qualitative and quantitative analyses of the data were performed. Kaplan-Meier analysis was performed to estimate the progression-free survival (PFS) and overall survival (OS). Fisher exact test was used for categorical variables. RESULTS: The concordance rate of EGFRm in tumor tissues and matched plasma samples was 68.3% (28/41). At baseline, EGFRm-positive patients were divided into two groups according to the cut-off ΔCt value of EGFRm set at 8.11. A significant difference in the median OS (mOS) between the two groups was observed (EGFRm ΔCt ≤8.11 vs. >8.11: not reached vs. 11.0 months; log-rank P = 0.024). Patients were divided into mutation clearance (MC) group and mutation incomplete clearance (MIC) group according to whether the ΔCt value of EGFRm test turned negative after 1 month of treatment. We found that there was also a significant difference in mOS (not reached vs. 10.4 months; log-rank P = 0.021) between MC group and MIC group. Although there was no significant difference in PFS between the two groups, the two curves were separated and the PFS of MC group tended to be higher than the MIC group (not reached vs. 27.5 months; log-rank P = 0.088). Furthermore, EGFRm-positive patients were divided into two groups according to the cut-off of the changes in ΔCt value of EGFRm after 1 month of treatment, which was set at 4.89. A significant difference in the mOS between the two groups was observed (change value of ΔCt >4.89 vs. ≤4.89: not reached vs. 11.0 months; log-rank P = 0.014). CONCLUSIONS: Detecting EGFRm in ctDNA using R-superARMS can identify patients who are more likely sensitive to targeted therapy, reflect the molecular load of patients, and predict the therapeutic efficacy and clinical outcomes of patients.


Subject(s)
Adenocarcinoma of Lung , Circulating Tumor DNA , Lung Neoplasms , Adenocarcinoma of Lung/genetics , Circulating Tumor DNA/genetics , ErbB Receptors/genetics , Humans , Lung Neoplasms/genetics , Mutation/genetics , Protein Kinase Inhibitors
3.
Transl Lung Cancer Res ; 10(8): 3594-3607, 2021 Aug.
Article in English | MEDLINE | ID: mdl-34584859

ABSTRACT

BACKGROUND: Currently, there is no standard context that conforms to the Chinese national framework for evaluating medical decisions regarding the treatment of lung cancer. METHODS: This draft was formulated after a systematic review and a focus group discussion among 20 experts, who were senior physicians with extensive clinical experience from the Chinese Thoracic Oncology Group (CTONG) task force. Subsequently, a draft and a five-point Likert scale were sent to 300 CTONG working group members. These were modified according to feedback from a four-round modified Delphi approach. Hence, the first version of the 'Therapeutic option of lung cancer: CTONG scoring system' was formulated. Afterward, a corresponding questionnaire was designed to collect opinions on the weight allocation of various indicators. This was issued through the WeChat platform, "Oncology News" application and e-mails from October 23, 2020, to November 25, 2020. Participants from numerous occupations in cancer-related fields from various regions of China were included in the study. Overall and subgroup analyses regarding weight allocations were performed. The differences between participant-allocated and reference weights were considered to adjust the framework. RESULTS: The framework contained four aspects and six indicators, including efficacy [progression-free survival (PFS)/overall survival (OS) and subsequent treatment], safety [treatment-related severe adverse event (SAE), dose adjustment], quality of life (Qol), and compensation. The reference weights were 50%, 5%, 10%, 5%, 10%, and 20% for each indicator. By November 25, 2020, 1,043 valid questionnaires had been obtained. The majority of the questionnaires were completed by physicians (86.5%). Subgroup analysis among the various groups showed an overall consistent trend. Besides, significant differences between the participant-allocated and reference weights were found among PFS/OS (difference: -11.5%), compensation (difference: -10.1%), and subsequent treatment (difference: 9.7%) indicators. After discussion, the final weight allocations were set at 45%, 10%, 15%, 5%, 10%, and 15% for PFS/OS, subsequent treatment, treatment-related SAE, dose adjustment, Qol, and compensation, respectively. CONCLUSIONS: The CTONG scoring system, as an objective evaluation model that involves multiple parameters, is a breakthrough method for evaluating the therapeutic value of lung cancer treatment options in China, which is worthy of further verification in future clinical practice.

4.
Chin Med J (Engl) ; 134(11): 1267-1275, 2021 May 19.
Article in English | MEDLINE | ID: mdl-34039862

ABSTRACT

ABSTRACT: Immunotherapy has opened a new era in cancer treatment. Drugs represented by immune checkpoint inhibitors have led to important breakthroughs in the treatment of various solid tumors, greatly improving the survival rate of cancer patients. Many types of immunotherapeutic drugs have become widely available; however, their efficacy is variable, and relatively few patients with advanced cancer experience life-altering durable survival, reflecting the complex and highly regulated nature of the immune system. The research field of cancer immunotherapy (CIT) still faces many challenges in pursuing the broader social goal of "curing cancer." Increasing attention has been paid to strengthening the understanding of the molecular or cellular drivers of resistance to immunotherapy, actively exploring more effective therapeutic targets, and developing combination therapy strategies. Here, we review the key challenges that have emerged in the era of CIT and the possible solutions or development directions to overcome these difficulties, providing relevant references for basic research and the development of modified clinical treatment regimens.


Subject(s)
Immunotherapy , Neoplasms , Combined Modality Therapy , Humans , Immunologic Factors , Neoplasms/therapy
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