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

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 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 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 evaluate the safety and efficacy of thoracic radiotherapy (TRT) for extensive-stage small cell lung cancer (ES-SCLC) patients in the era of first-line chemoimmunotherapy.Methods:Medical records of 56 patients with ES-SCLC who received thoracic radiotherapy after first-line platinum-based chemotherapy plus immunotherapy in Cancer Hospital Chinese Academy of Medical Sciences from January 2018 to December 2021 were retrospectively analyzed. The control group was not established for clinical causes. The overall survival (OS), progression-free survival (PFS) and local recurrence-free survival (LRFS) were calculated using the Kaplan-Meier method. Univariate and multivariate analyses were employed to identify prognostic factors using the Cox proportional hazards model. The cumulative incidence of local regional recurrence (LRR) was estimated using the Fine-Grey competing risks regression model.Results:Among 56 patients in our cohort, 47 patients received consolidative TRT (cTRT) before progression and 9 patients received salvage TRT after progression. The median follow-up time was 21 months (95% CI=19.8-22.2 months), the median OS was not reached, the median PFS was 9 months (95% CI=7.0-13.0 months), and the 1-year and 18-month OS rates were 84.9%, 62.1%. In the cTRT group, the 1-year and 18-month OS rates were 84.1%, 64.5%, with the median PFS of 10 months; 1-year and 18-month LRFS rates were 73.6% and 66.0%, respectively; the cumulative incidence of LRR at 1-year and 2-year were 24.9% and 30.8%, respectively. No other 4-5 grade adverse events (AE) were reported except 6 patients presenting with 4 grade hematologic toxicities. Three grade radiation esophagitis occurred in 3 patients (5%). Ten patients (18%) developed 1-2 grade treatment-related pneumonitis, including 5 (9%) patients with immune related pneumonitis and 5 (9%) patients with radiation pneumonitis. Conclusion:The application of TRT after first-line chemoimmunotherapy is safe and may has potential survival benefit for patients with ES-SCLC.

Objective To study the effects of intramedullary pressure on the fluid flow behavior in bones.Methods Multi-scale models of macro bone tissue and macro-meso osteon groups were established using the COMSOL Multiphysics software.Considering the interrelationship of different pore scales,such as the bone marrow cavity,Haversia canal,and bone lacunar-canaliculus,the pore pressure and flow rate of hollow bone tissues and bone tissues with intramedullary pressure were compared,and the effects of the amplitude and frequency of intramedullary pressure on the pressure and flow velocity of the liquid in the bone were analyzed.Results When intramedullary pressure was considered,the pore pressure in bone tissues with intramedullary pressure was 6.4 kPa higher than that in hollow bone tissues.The flow pressure increased significantly with an increase in the intramedullary pressure amplitude,but the flow velocity remained unchanged.The frequency of intramedullary pressure had little effect on pore pressure and flow velocity.Conclusions The multi-scale pore model established in this study can accurately analyze bone fluid flow behavior.These results are of great significance for an in-depth understanding of force conduction in the bone.