Objective:To analyze the safety and short-term efficacy of thoracic radiotherapy combined with anlotinib in the treatment of inoperable non-small cell lung cancer (NSCLC).Methods:A prospective study was conducted on patients with unresectable locally advanced NSCLC who were intolerant to concurrent chemoradiotherapy and treated at the Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, from October 2020 to September 2023. Anlotinib was administered orally concurrently with radiotherapy (days 1-14, 21 days per cycle, for 3 cycles). Adverse effects and short-term tumor recurrence were observed from the beginning of radiotherapy to the 3-month post-radiotherapy. Kaplan-Meier method was used to calculate progression-free survival (PFS) and overall survival (OS) rates from the date of initial treatment (induction therapy), and intergroup comparisons were performed using the log-rank test.Results:The median age was 62 years (range:42-76 years), with a male predominance ( n=36, 88%) of the included 41 patients. The incidence of grade 3-4 acute hematologic adverse events was 20% (8 cases); the incidence of grade 3 hemoptysis was 2% (1 case), with no grade 4 hemoptysis; the incidence of grade 3-4 radiation pneumonitis was 10% (4 cases). No grade 5 adverse events were observed in the entire cohort. With a median follow-up of 19.7 months (range: 7.1-50.1 months), 19 patients (46%) experienced recurrence, including 4 patients (10%) with local recurrence, 6 patients (15%) with regional lymph node recurrence, and 11 patients (27%) with distant metastases. The 1-year PFS rate was 78.3%. 8 patients (20%) died, including 3 patients died from COVID-19 infection during the follow-up period, 1 patient who died from hypostatic pneumonia due to prolonged bed rest after cerebral infarction, and 4 patients died from tumor-related causes. The 1-year OS rate was 78.0%. Conclusions:Thoracic radiotherapy combined with anlotinib demonstrates good safety, manageable adverse events, and favorable short-term efficacy in NSCNC patients intolerant to concurrent chemoradiotherapy.

Objective:To evaluate the role of a single PET-CT scan in predicting survival and prognosis in patients with non-small cell lung cancer (NSCLC) who did not undergo surgery but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy.Methods:A retrospective analysis was conducted on the data of 23 NSCLC patients treated at the Cancer Hospital of the Chinese Academy of Medical Sciences from May 2022 to June 2024. All patients were pathologically confirmed, received neoadjuvant chemotherapy combined with immunotherapy, did not undergo surgery for various reasons, and instead received radiotherapy. Each patient underwent only one PET-CT scan after neoadjuvant chemotherapy combined with immunotherapy and before radiotherapy. According to the maximum standardized uptake value (SUV max) on PET-CT, patients were divided into the low-uptake group (SUV max < 8, n=12) and high-uptake group (SUV max ≥ 8, n=11). Survival analysis was performed using the Kaplan-Meier method with survival curves plotted. Univariate analysis of influencing factors of survival was conducted using the Cox proportional hazards regression model. Clinical characteristics and survival outcomes of the two groups were compared, including progression-free survival (PFS) and overall survival (OS). Results:The 1-year PFS rates were 100% in the low-uptake group, 54.5% in the high-uptake group. This difference was statistically significant ( P=0.007). The 1-year and 2-year OS rates were both 100% in the low-uptake group, the 1-year and 2-year OS rates were both 90.9% in the high-uptake group, with no statistically significant difference ( P=0.394). Univariate Cox analysis identified age as an independent factor affecting PFS. Conclusions:For NSCLC patients who did not undergo surgical resection but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy, a single PET-CT scan before radiotherapy has potential value in predicting PFS. However, clinical studies with larger sample size and longer follow-up are required to evaluate its predictive value for OS.

Objective:To analyze the prognostic value of systemic inflammatory score (SIS) in patients with unresectable stage Ⅲ non-small cell lung cancer (NSCLC) treated by definitive chemoradiotherapy (dCRT) combined with or without consolidation immunotherapy with immune checkpoint inhibitor (ICI).Methods:The medical record data of 229 patients who received dCRT from January 2014 to December 2017 and 183 patients who received dCRT combined with any form of ICI (induction, concurrent, consolidation or combination) from August 2018 to August 2022 in the Cancer Hospital, Chinese Academy of Medical Sciences were retrospectively analyzed. Upon admission, 1 and 3 months after treatment (efficacy evaluation) and upon tumor recurrence, peripheral blood count was collected, and neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and SIS were calculated, respectively. The SIS before, 1 and 3 months after treatment was defined as SIS 0, SIS 1 and SIS 3, respectively. Overall survival (OS) was considered as the primary endpoint. All patients were divided into dCRT group and dCRT+ICI group according to whether received immunotherapy, and then divided into different subgroups based on the cutoff value of SIS determined by X-Tile software. The prognostic value of SIS was evaluated by Kaplan-Meier survival analysis. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive efficiency. The predictive value of SIS was compared with inflammatory indexes (NLR, PLR) and independent prognostic factors. Results:In the dCRT group, the optimal cutoff value of SIS 0 was 590×10 9 and 530×10 9 in the dCRT+ICIs group. Univariate and multivariate analyses indicated that SIS 0 was an independent predictive factor of OS, progression - free survival (PFS), local - recurrence free survival (LRFS) and distant metastasis free survival (DMFS) in the dCRT group, but not associated with DMFS in the dCRT+ICI group. In the dCRT group, SIS 1>970×10 9 (optimal cutoff value) predicted poor OS ( HR=2.512, 95% CI=1.622-3.198, P<0.001), PFS ( HR=1.726, 95% CI=1.187-2.509, P=0.004), and DMFS ( HR=1.625, 95% CI=1.029-2.564, P=0.037). In the dCRT+ICI group, SIS 3>1570×10 9 (optimal cutoff value) indicated poor OS ( HR=5.107, 95% CI=1.731-15.069, P=0.003). In both groups, the AUC of SIS was higher than NLR, PLR and other traditional clinicopathological predictive indexes except T stage. Conclusions:SIS before treatment can be considered as an independent, dependable and easily acquired prognostic marker in patients with unresectable stage Ⅲ NSCLC treated by dCRT or dCRT+ICI. In the dCRT+ICI group, the optimal time point of post-radiotherapy SIS (3 months after treatment) is postponed than that (1 month after treatment) in the dCRT group.

In general, bioassay-guided fractionation and isolation of bioactive constituents from botanical materials frequently ended up with the reward of a single compound. However, botanical materials typically exert their therapeutic actions through multi-pathway effects due to the intrinsic complex nature of chemical constituents. In addition, the content of bioactive compounds in botanical materials is largely dependent on humidity, temperature, soil, especially geographical origins, from which rapid and accurate identification of plant materials is pressingly needed. These long-standing obstacles collectively impede the deep exploitation and application of these versatile natural sources. To address the challenges, a new paradigm integrating biogravimetric analyses and machine learning-driven origin classification (BAMLOC) was developed. The biogravimetric analyses are based on absolute qHNMR quantification and in vivo zebrafish model-assisted activity index calculation, by which bioactive substance groups jointly responsible for the bioactivities in all fractions are pinpointed before any isolation effort. To differentiate origin-different botanical materials varying in the content of bioactive substance groups, principal component analysis, linear discriminant analysis, and hierarchical cluster analysis in conjunction with supervised support vector machine are employed to classify and predict production areas based on the detection of volatile organic compounds by E-nose and GC-MS. Expanding BAMLOC to Codonopsis Radix enables the identification of polyacetylenes and pyrrolidine alkaloids as the bioactive substance group for immune restoration effect and accurately determines the origins of plants. This study advances the toolbox for the discovery of bioactive compounds from complex mixtures and lays a more definitive foundation for the in-depth utilization of botanical materials.

OBJECTIVE: To explore the influencing factors on the prognosis of patients with multiple myeloma (MM) after bortezomib treatment, and construct a decision tree risk prediction model based on the influencing factors. METHODS: One hundred and seventy MM patients admitted to the People's Hospital of Jianyang City from January 2019 to June 2022 were selected as research subjects, and divided into poor prognosis group and good prognosis group according to the prognosis after bortezomib treatment. The clinical data of the patients were analyzed, univariate and logistic regression analysis were used to screen influencing factors, SPSS Modeler software was used to construct a decision tree prediction model, and the diagnostic performance of the decision tree risk prediction model was analyzed. RESULTS: The incidence of poor prognosis in 170 MM patients after bortezomib-based chemotherapy was 21.18%. Kappa light chain level≥19.4 mg/L, platelet count (PLT) ≤100×10⁹/L, homocysteine (Hcy) >22 μmol/L, serum creatinine (Scr) ≥176 μmol/L, lactate dehydrogenase (LDH) ≥300 U/L, serum ferritin (SF) >500 mg/L, and β₂-microglobulin (MG) >6 μg/L were independent risk factors for poor prognosis in MM patients after bortezomib treatment (all P < 0.05). The decision tree model selected 7 explanatory variables (Kappa light chain level, LDH, PLT, SF, β₂-MG, Scr, and Hcy) as nodes of the model, among which Kappa light chain level was the most important predictor. In addition, the area under the ROC curve (AUC) values of the decision tree model and logistic regression model were 0.895 and 0.881, respectively. The prediction performance of the decision tree model was better than that of the logistic regression model ( Z=3.325, P =0.005). CONCLUSION The decision tree model has high value in predicting the prognosis after bortezomib treatment in MM patients, which can screen high-risk factors that affect poor prognosis, providing practical references for clinical healthcare professionals to take preventive treatment for high-risk MM patients.
Humans ; Bortezomib/therapeutic use* ; Multiple Myeloma/diagnosis* ; Decision Trees ; Prognosis ; Algorithms ; Risk Factors ; Male ; Female ; Middle Aged

Objective:To analyze the safety and short-term efficacy of thoracic radiotherapy combined with anlotinib in the treatment of inoperable non-small cell lung cancer (NSCLC).Methods:A prospective study was conducted on patients with unresectable locally advanced NSCLC who were intolerant to concurrent chemoradiotherapy and treated at the Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, from October 2020 to September 2023. Anlotinib was administered orally concurrently with radiotherapy (days 1-14, 21 days per cycle, for 3 cycles). Adverse effects and short-term tumor recurrence were observed from the beginning of radiotherapy to the 3-month post-radiotherapy. Kaplan-Meier method was used to calculate progression-free survival (PFS) and overall survival (OS) rates from the date of initial treatment (induction therapy), and intergroup comparisons were performed using the log-rank test.Results:The median age was 62 years (range:42-76 years), with a male predominance ( n=36, 88%) of the included 41 patients. The incidence of grade 3-4 acute hematologic adverse events was 20% (8 cases); the incidence of grade 3 hemoptysis was 2% (1 case), with no grade 4 hemoptysis; the incidence of grade 3-4 radiation pneumonitis was 10% (4 cases). No grade 5 adverse events were observed in the entire cohort. With a median follow-up of 19.7 months (range: 7.1-50.1 months), 19 patients (46%) experienced recurrence, including 4 patients (10%) with local recurrence, 6 patients (15%) with regional lymph node recurrence, and 11 patients (27%) with distant metastases. The 1-year PFS rate was 78.3%. 8 patients (20%) died, including 3 patients died from COVID-19 infection during the follow-up period, 1 patient who died from hypostatic pneumonia due to prolonged bed rest after cerebral infarction, and 4 patients died from tumor-related causes. The 1-year OS rate was 78.0%. Conclusions:Thoracic radiotherapy combined with anlotinib demonstrates good safety, manageable adverse events, and favorable short-term efficacy in NSCNC patients intolerant to concurrent chemoradiotherapy.

Objective:To evaluate the role of a single PET-CT scan in predicting survival and prognosis in patients with non-small cell lung cancer (NSCLC) who did not undergo surgery but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy.Methods:A retrospective analysis was conducted on the data of 23 NSCLC patients treated at the Cancer Hospital of the Chinese Academy of Medical Sciences from May 2022 to June 2024. All patients were pathologically confirmed, received neoadjuvant chemotherapy combined with immunotherapy, did not undergo surgery for various reasons, and instead received radiotherapy. Each patient underwent only one PET-CT scan after neoadjuvant chemotherapy combined with immunotherapy and before radiotherapy. According to the maximum standardized uptake value (SUV max) on PET-CT, patients were divided into the low-uptake group (SUV max < 8, n=12) and high-uptake group (SUV max ≥ 8, n=11). Survival analysis was performed using the Kaplan-Meier method with survival curves plotted. Univariate analysis of influencing factors of survival was conducted using the Cox proportional hazards regression model. Clinical characteristics and survival outcomes of the two groups were compared, including progression-free survival (PFS) and overall survival (OS). Results:The 1-year PFS rates were 100% in the low-uptake group, 54.5% in the high-uptake group. This difference was statistically significant ( P=0.007). The 1-year and 2-year OS rates were both 100% in the low-uptake group, the 1-year and 2-year OS rates were both 90.9% in the high-uptake group, with no statistically significant difference ( P=0.394). Univariate Cox analysis identified age as an independent factor affecting PFS. Conclusions:For NSCLC patients who did not undergo surgical resection but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy, a single PET-CT scan before radiotherapy has potential value in predicting PFS. However, clinical studies with larger sample size and longer follow-up are required to evaluate its predictive value for OS.

Objective:To analyze the prognostic value of systemic inflammatory score (SIS) in patients with unresectable stage Ⅲ non-small cell lung cancer (NSCLC) treated by definitive chemoradiotherapy (dCRT) combined with or without consolidation immunotherapy with immune checkpoint inhibitor (ICI).Methods:The medical record data of 229 patients who received dCRT from January 2014 to December 2017 and 183 patients who received dCRT combined with any form of ICI (induction, concurrent, consolidation or combination) from August 2018 to August 2022 in the Cancer Hospital, Chinese Academy of Medical Sciences were retrospectively analyzed. Upon admission, 1 and 3 months after treatment (efficacy evaluation) and upon tumor recurrence, peripheral blood count was collected, and neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and SIS were calculated, respectively. The SIS before, 1 and 3 months after treatment was defined as SIS 0, SIS 1 and SIS 3, respectively. Overall survival (OS) was considered as the primary endpoint. All patients were divided into dCRT group and dCRT+ICI group according to whether received immunotherapy, and then divided into different subgroups based on the cutoff value of SIS determined by X-Tile software. The prognostic value of SIS was evaluated by Kaplan-Meier survival analysis. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive efficiency. The predictive value of SIS was compared with inflammatory indexes (NLR, PLR) and independent prognostic factors. Results:In the dCRT group, the optimal cutoff value of SIS 0 was 590×10 9 and 530×10 9 in the dCRT+ICIs group. Univariate and multivariate analyses indicated that SIS 0 was an independent predictive factor of OS, progression - free survival (PFS), local - recurrence free survival (LRFS) and distant metastasis free survival (DMFS) in the dCRT group, but not associated with DMFS in the dCRT+ICI group. In the dCRT group, SIS 1>970×10 9 (optimal cutoff value) predicted poor OS ( HR=2.512, 95% CI=1.622-3.198, P<0.001), PFS ( HR=1.726, 95% CI=1.187-2.509, P=0.004), and DMFS ( HR=1.625, 95% CI=1.029-2.564, P=0.037). In the dCRT+ICI group, SIS 3>1570×10 9 (optimal cutoff value) indicated poor OS ( HR=5.107, 95% CI=1.731-15.069, P=0.003). In both groups, the AUC of SIS was higher than NLR, PLR and other traditional clinicopathological predictive indexes except T stage. Conclusions:SIS before treatment can be considered as an independent, dependable and easily acquired prognostic marker in patients with unresectable stage Ⅲ NSCLC treated by dCRT or dCRT+ICI. In the dCRT+ICI group, the optimal time point of post-radiotherapy SIS (3 months after treatment) is postponed than that (1 month after treatment) in the dCRT group.

Objective To investigate the relationship of replication factor C subunit 2(RFC2)with the prognosis of glioblastoma(GBM)and cell proliferation,as well as its underlying molecular pathway in GBM development.Methods Using bioinformatics methods,cell cycle genes were screened as independent prognostic factors for GBM.Combined with clinical indicators,a risk scoring model for GBM patients was established and validated.The target gene RFC2 was analyzed with GO,KEGG,and GSEA.U87 GBM cells at logarithmic growth stage were transfected with lentivirus and divided into different groups(control,ShRFC2 # 1,and shRFC2 # 2 groups).qRT-PCR,Western blotting,Edu staining,and cloning assay were used to detect mRNA expression,protein expression,and cell proliferation.Results The expression of RFC2 was upregulated in GBM and showed an obvious upregulation trend with the increase of pathological grade of glioma.The analyses of gene function and pathway indicated that RFC2 was involved in the processes of sister chromosome segregation,chromosome segregation,organelle fission,and mitosis by promoting the transition of G1 to S phase during cell cycle.qRT-PCR and Western blotting showed that compared with the control group,the amount of mRNA and translated protein in the knockdowned groups decreased(P＜0.000 1).The positive rate of Edu staining and the colony forming ability decreased(P＜0.000 1,P＜0.001).Conclusion RFC2 is highly expressed in glioblastoma and associated with pathological grade of glioma and poor prognosis of patients.It also promotes the cell proliferation function of glioblastoma.RFC2 may be a potential biomarker and therapeutic target for glioblastoma.

Objective:To analyze the treatment efficacy, safety and dose parameters of optimized hippocampus-avoidance prophylactic cranial irradiation (HA-PCI) in limited-stage small cell lung cancer (LS-SCLC) and explore the corresponding dosimetric parameters under the condition of narrowing the hippocampus avoidance region as hippocampus region plus 2 mm in three dimensions.Methods:Clinical data of patients with LS-SCLC receiving HA-PCI (hippocampus avoidance region defined as hippocampus region plus 2 mm in three dimensions) in Cancer Hospital Chinese Academy of Medical Sciences from August 2014 to June 2020 were retrospectively analyzed. Dose parameters of HA-PCI and adverse events were analyzed using descriptive statistics analysis. Changes of neurocognitive function, such as mini-mental state examination (MMSE) and Hopkins verbal learning test-revised (HVLT-R) scores, were evaluated by analysis of variance and Kruskal-Wallis H test. Overall survival (OS), progression-free survival (PFS) and intracranial PFS (iPFS) were calculated using Kaplan-Meier method. The cumulative incidence of local-regional recurrence (LRR), extracranial distant metastases (EDM), and locoregional recurrence (LR) were investigated under competing risk analysis. Results:A total of 112 patients were included, the median follow-up time was 50 months (95% CI: 45.61-54.38). The median volume of hippocampus was 4.85 ml (range: 2.65-8.34 ml), with the average dose ≤9 Gy in 106 patients (94.6%), ≤8 Gy in 92 patients (82.1%). The median volume of hippocampus avoidance area was 15.00 ml (range: 8.61-28.06 ml), with the average dose ≤12 Gy in 109 patients (97.3%), ≤10 Gy in 101 patients (90.2%). The 2-year cumulative LRR, EDM, LR rates were 16.9%, 23.2% and 28.5%, respectively. The 5-year cumulative LRR, EDM, LR rates were 23.2%, 26.9% and 33.3%, respectively. The 2-year iPFS, PFS and OS rates were 66.1% (95% CI: 57.9%-75.4%), 53.6% (95% CI: 45.1%-63.7%) and 80.4% (95% CI: 73.3%-88.1%), respectively. The most common grade I-Ⅱ adverse events were nausea (33.9%) and dizziness (31.3%), and only 1 patient developed grade Ⅲ nausea and dizziness. MMSE ( n=57) and HVLT-R tests ( n=56) showed no significant decline. Conclusions:Optimized HA-PCI can achieve similar dose limitation with favorable efficacy and light toxicity. No significant decline is observed in short-term neurocognitive function in evaluable patients.