Objective To evaluate the relationship of systemic immune inflammatory index (SII) with the clinical features and prognosis of osteosarcoma patients. Methods The clinical data of patients with osteosarcoma surgically treated in Fuzhou Second Hospital between January 2012 and December 2017 were retrospectively collected. The preoperative SII value was calculated, which was defined as platelet × neutrophil/lymphocyte count. The best critical value of SII was determined by receiver operating characteristic (ROC) curve analysis, and the relationship between SII and clinical features of patients was analyzed by χ2 test. Kaplan-Meier method and Cox proportional hazard model were used to study the effect of SII on overall survival (OS). The nomogram prediction model was established according to the independent risk factors of patients’ prognosis. Results A total of 108 patients with osteosarcoma were included in this study. Preoperative high SII was significantly correlated with tumor diameter, Enneking stage, local recurrence and metastasis (P<0.05). The median follow-up time was 62 months. The 1-, 3-, 5-year survival rates of the low SII group were significantly higher than those of the high SII group (100.0%, 96.4%, 85.1% vs. 95.4%, 73.7%, 30.7%), and the survival of the two groups were statistically different (P<0.05). Univariate Cox regression analyses showed that tumor diameter, Enneking stage, local recurrence, metastasis and SII were associated with OS (P<0.05). Multiple Cox regression analysis showed that Enneking stage (P=0.031), local recurrence (P=0.035) and SII (P=0.001) were independent risk factors of OS. The nomogram constructed according to the independent risk factors screened by the Cox regression model had good discrimination and consistency (C-index=0.774), and the calibration curve showed that the nomogram had a high consistency with the actual results. In addition, the ROC curve indicated that the nomogram had a good prediction efficiency (area under the curve=0.880). Conclusions The preoperative SII level is expected to become an important prognostic parameter for patients with osteosarcoma. The higher the SII level is, the worse the prognosis of patients will be. The nomogram prediction model built on preoperative SII level, Enneking stage and local recurrence has a good prediction efficiency, and can be used to guide the diagnosis and treatment of clinical osteosarcoma.
ObjectiveTo investigate the effect of extranodal extension of axillary lymph nodes metastasis on the prognosis of patients with triple-negative breast cancer (TNBC). MethodsThe TNBC patients with axillary lymph node metastasis admitted to the Nanyang Central Hospital from January 2017 to January 2019 were collected. The clinicopathologic characteristics and prognosis of TNBC patients with or without extranodal extension were analyzed and compared, and the factors affecting prognosis were analyzed. ResultsA total of 216 patients were included, including 123 patients without extranodal extension and 93 patients with extranodal extension. Compared with the patients without extranodal extension, the proportions of the patients with histological grade Ⅲ, 10 or more metastatic lymph nodes, and 5 cm or greater tumor diameter were higher in the patients with extranodal extension (P<0.05). The results of multivariate analysis showed that the 10 or more metastatic lymph nodes was the risk factor affecting the overall survival (OS) and disease-free survival (DFS) of the TNBC patients (P<0.05), and the histological grade Ⅲ and lower human epidermal growth factor receptor-2 (HER-2) expression were the risk factors affecting the OS of the TNBC patients (P<0.05), as well as the extranodal extension was the risk factor affecting the DFS of the TNBC patients (P<0.05). The 5-year cumulative disease-free survival rate of the patients with extranodal extension was worse than that of the patients without extranodal extension (70.2% vs. 83.3%, χ2=6.934, P=0.008). The 5-year cumulative overall survival rate had no statistically significant difference between the them (75.3% vs. 82.1%, χ2=1.969, P=0.161). ConclusionsFrom the results of this study, the prognosis of TNBC patients with extranodal extension is worse. Especially the patients with histological grade Ⅲ, 10 or more metastatic lymph nodes, and with lower HER-2 expression should be paid attention.
Objective To analyze the relationship between age and prognosis of colorectal patients in the database from colorectal cancer (DACCA). Methods The DACCA version selected for this data analysis was updated on January 5, 2022. The data items analyzed included age, sex, tumor site, tumor pathological nature, obstruction, pathological TNM (pTNM) stage, positive lymph node ratio, survival status and survival time. According to China’s age segmentation standard, the included data were grouped into younger group (<35 years old), middle-aged group (35–59 years old) and elderly group (>59 years old). Overall survival (OS) and disease specific survival (DFS) were analyzed in three age group, and OS and DSS in three age group were analyzed in pTNM stage stratification. Results Three thousand six hundred and twenty-five rows of data were obtained from DACCA database according to the screening conditions. The survival analysis results of different age groups show that: The middle-aged group had better OS compared with the elderly group at 1-year (97.4% vs. 96.0%, P=0.037), 3-year (90.9% vs. 88.0%, P=0.030) and 5-year (81.7% vs. 75.7%, P=0.002). Also, the middle-age group had better 5-year DSS (82.2% vs. 77.7%, P=0.020). There was no statistical difference in survival between the younger group and the elderly group (P>0.05). The survival analysis results of different age groups in each pTNM stage show that: ① The middle-aged group had better medium-term and long-term OS than the elderly group. In the pTNM Ⅰ stage, the 3- and 5-year OS in the middle-aged group were better than those in the elderly group (100% vs. 93.4%, P=0.004; 100% vs. 91.4%, P=0.005). In the pTNM Ⅱ stage, the 5- and 10-year OS in the middle-aged group were better than those in the elderly group (96.5% vs. 91.3%, P=0.018; 88.2% vs. 54.3%, P<0.001). In pTNM Ⅲ stage, 10-year OS in the middle-aged group was better than that in the elderly group (36.5% vs. 36.0%, P<0.001). In pTNM Ⅳ stage, the 5- and 10- year of OS in the middle-aged group were better than those in the elderly group (67.7% vs. 58.4%, P=0.016; 19.1% vs. 7.2%, P=0.049). ② The middle-aged group had better medium-term and long-term DSS than the elderly group. In the pTNM Ⅰ stage, the 3- and 5- year DSS in the middle-aged group wrer better compared to the elderly group (100% vs. 96.9%, P=0.047; 100% vs. 94.9%, P=0.049). In the pTNM Ⅱ stage, the 10-year DSS in the middle-aged group outperformed that in the elderly group (88.2% vs. 61.9%, P=0.002). In the pTNM Ⅳ stage, the 5- and 10-year DSS in the middle-aged group were better than the elderly group (68.3% vs. 59.1%, P=0.020; 20.9% vs. 7.7%, P=0.040). ③ Except pTNM I stage, there was no significant difference in survival of other pTNM stages between young group and old group (P>0.05). In the pTNM Ⅰ stage, 3- and 5- year OS were better in the younger group compared with the elderly group (100% vs. 93.4%, P=0.004; 100% vs. 91.4%, P=0.005), and better 3- and 5- year DSS in the younger group (100% vs. 96.9%, P=0.047; 100% vs. 94.9%, P=0.049). Conclusions The age of colorectal cancer patients may have an impact on long-term survival. Middle-aged patients have better prognosis compared with elderly patients, and the younger group patients have better prognosis in pTNM stage Ⅰ only.
ObjectiveTo compare the the effectiveness of robot-assisted thoracic surgery (RATS) with video-assisted thoracic surgery (VATS), in stageⅠ lung adenocarcinoma.MethodsFrom January 2012 to December 2018, 291 patients were included. The patients were allocated into two groups including a RATS group with 125 patients and a VATS group with 166 patients. Two cohorts (RATS, VATS ) of clinical stageⅠ lung adenocarcinoma patients were matched by propensity score. Then there were 114 patients in each group (228 patients in total). There were 45 males and 69 females at age of 62±9 years in the RATS group; 44 males, 70 females at age of 62±8 years in the VATS group. Overall survival (OS) and disease-free survival (DFS) were assessed. Univariate and multivariate analyses were performed to identify factors associated with the outcomes.Results Compared with the VATS group, the RATS group got less blood loss (P<0.05) and postoperative drainage (P<0.05) with a statistical difference. There was no statistical difference in drainage time (P>0.05) or postoperative hospital stay (P>0.05) between the two groups. The RATS group harvested more stations and number of the lymph nodes with a statistical difference (P<0.05). There was no statistical difference in 1-year, 3-year and 5-year OS and mean survival time (P>0.05). While there was a statistical difference in DFS between the two groups (1-year DFS: 94.1% vs. 95.6%; 3-year DFS: 92.6% vs. 75.2%; 5-year DFS: 92.6% vs. 68.4%, P<0.05; mean DFS time: 78 months vs. 63 months, P<0.05) between the two groups. The univariate analysis found that the number of the lymph nodes dissection was the prognostic factor for OS, and tumor diameter, surgical approach, stations and number of the lymph nodes dissection were the prognostic factors for DFS. However, multivariate analysis found that there was no independent risk factor for OS, but the tumor diameter and surgical approach were independently associated with DFS.ConclusionThere is no statistical difference in OS between the two groups, but the RATS group gets better DFS.
ObjectiveTo explore the immune biomarkers for prognosis of breast cancer and to construct a risk assessment model.MethodsThe gene expression of breast cancer samples was retrieved from The Cancer Genome Map (TCGA) database and immune related genes (IRGs) were retrieved from the ImmPort database. Cox proportional hazards regression and least absolute shrinkage and selection operator (LASSO) regression were used for prognostic analysis. Gene set enrichment analysis ( GSEA) was used to explore biological signaling pathways. ESTIMATE and CIBERSORT algorithms were used to explore the relationship between risk score and tumor immune microenvironment.ResultsNine kinds of immune-related differentially expressed genes independently related to prognosis were identified: adrenoceptor beta 1 (ADRB1), interleukin 12B (IL12B), syndecan 1 (SDC1), thymic stromal lymphopoietin (TSLP), fibroblast growth factor 19 (FGF19), fatty acid binding protein 7 (FABP7), interferon epsilon (IFNE), tumor necrosis factor receptor superfamily member 18 (TNFRSF18) and interleukin 27 (IL27). The risk assessment equation constructed by these nine kinds of genes had powerful predictive ability. The “neurotrophin signaling pathway” and “adipocyte factor signaling pathway” were activated in patients of high-risk group, and “leukocyte transendothelial migration” “WNT signaling pathway” “FcεRI signaling pathway” “valine, leucine and isoleucine biosynthesis” and “protein export pathway” were activated in patients of low-risk group. A variety of tumor-killing immune cells were significantly enriched in the tumor-infiltrating immune cells of patients in the low-risk group. The immunosuppressive immune cells were significantly enriched in tumor infiltrating immune cells of patients in high-risk group.ConclusionIRGs prognostic signatures are an effective potential predictive classifier in breast cancer treatment.
Objective To evaluate the predictive performance of the geometric characteristics, centerline (CL) of pulmonary nodules for prognosis in patients with surgically treatment in the National Lung Screening Trial (NLST). MethodsCT images of 178 patients who underwent surgical treatment and were diagnosed with non-small cell lung cancer (NSCLC) in the low-dose CT (LDCT) cohort from the NLST image database were selected, including 99 males and 79 females, with a median age of 64 (59, 68) years. CT images were processed using commercial software Mimics 21.0 to record the volume, surface area, CL and the area perpendicular to the centerline of pulmonary nodules. Receiver operating characteristic (ROC) curve was used to compare the predictive performance of LD, AD and CL on prognosis. Univariate Cox regression was used to explore the influencing factors for postoperative disease-free survival (DFS) and overall survival (OS), and meaningful independent variables were included in the multivariate Cox regression to construct the prediction model. ResultsThe area under the curve (AUC) of CL for postoperative recurrence and death were 0.650 and 0.719, better than LD (0.596, 0.623) and AD (0.600, 0.631). Multivariate Cox proportional risk regression analysis showed that pulmonary nodule volume (P=0.010), the maximum area perpendicular to the centerline (MApc) (P=0.028) and lymph node metastasis (P<0.001) were independent risk factors for DFS. Meanwhile, age (P=0.010), CL (P=0.043), lymph node metastasis (P<0.001), MApc (P=0.022) and the average area perpendicular to the centerline (AApc) (P=0.016) were independently associated with OS. ConclusionFor the postoperative outcomes of NSCLC patients in the LDCT cohort of the NLST, the CL of the pulmonary nodule prediction performance for prognosis is superior to the LD and AD, CL can effectively predict the risk stratification and prognosis of lung cancer, and spheroid tumors have a better prognosis.
ObjectiveTo analyze the relation between marital status and prognosis of patients with colorectal cancer (CRC) in the Database from Colorectal Cancer (DACCA). MethodsThe DACCA version selected for this data analysis was updated on January 13, 2023. The data items analysis included the age, gender, marital status, tumor location, tumor property, pathological TNM (pTNM) stage, survival status, and survival time. According to the marital status, the patients were assigned into five marital statuses: the first marriage, unmarried, divorced, remarriage, and widowed groups. The overall survival (OS) and disease specific survival (DSS) of the 5 marital statuses were analyzed, and then the risk factors affecting OS and DSS were analyzed by the Cox proportional hazards regression model. ResultsA total of 7 373 data were obtained from the DACCA according to the screening conditions, of which 6 696 (90.8%) were first marriage, 108 (1.5%) were unmarried, 198 (2.7%) were divorced, 22 (0.3%) were remarriage, and 349 (4.7%) were widowed. The OS and DSS curves had no statistical differences among the CRC patients with 5 marital statuses (χ2=2.692, P=0.611; χ2=2.927, P=0.570). The 3-year cumulative overall survival rate and disease specific survival rate among the 5 marital status patients had statistical differences among the patients with five marital statuses (χ2=24.65, P<0.001; χ2=18.63, P=0.001), further pairwise comparison showed that the 3-year cumulative overall survival rate and disease specific survival rate in the CRC patients with first marriage were higher than those in the widowed patients (Z=3.36, P<0.01; Z=3.02, P<0.01). The multivariate analysis results by the Cox proportional hazards regression model did not find the marital status was associated with the OS and DSS (P>0.05). ConclusionsFrom the real-world analysis results of this study, it is found that 3-year cumulative overall survival rate and disease specific survival rate in patients with first marriage are higher as compared with widowed patients. It is necessary to pay more attention to the long-term follow-up of CRC patients in unmarried or widowed status.
ObjectiveTo systematically evaluate the potential value of C-reactive protein to albumin ratio (CAR) as an indicator of prognosis and survival in patients with pancreatic cancer. MethodsThe literatures were searched comprehensively in the PubMed, Embase, Web of Science, Cochrane Library, CBM, Wanfang, CNKI, and CQVIP databases from the establishment of the databases to May 20, 2021. The combined hazard ratio (HR) and 95% confidence interval (95%CI) were used to evaluate the correlation between the CAR and the overall survival (OS), progression-free survival (PFS), or disease-free survival (DFS) in the patients with pancreatic cancer. The Newcastle-Ottawa scale (NOS) was used to evaluate the quality of the non-randomized controlled studies, and the Stata SE 15.0 software was used for meta-analysis. ResultsA total of 2 985 patients with pancreatic cancer were included in this meta-analysis of 15 studies. The results of meta-analysis showed that the higher CAR value, the shorter OS [effect size (ES)=0.60, 95%CI (0.50, 0.69), Z=12.04, P<0.001], DFS [ES=0.63, 95%CI (0.47, 0.78), Z=3.61, P<0.001], and PFS [ES=0.41, 95%CI (0.19, 0.63), Z=7.91, P<0.001] in the patients with pancreatic cancer. The results of subgroup analysis of OS according to different countries, sample size, mean age, follow-up time, CAR cut-off value, and NOS score showed that the higher CAR value was related to the shorter OS (P<0.05). The result of linear regression analysis showed that there was no correlation between the CAR cut-off value and lnHR of OS (r2=0.947, P=0.455). Conclusion From results of this study, CAR is closely related to OS of patients, and it is expected to be used as a new reference index for monitoring and judging prognosis of patients with pancreatic cancer.
At present, breast cancer is most common malignant tumor among female population. The treatment of breast cancer comprises surgery, radiotherapy, neoadjuvant and adjuvant therapy, with surgical as the main treatment approach. Common surgical methods for breast cancer include breast conservation surgery (BCS) and mastectomy. This article reviews the recent researches about the survival of breast cancer patients receiving BCS, the quality of life for patients receiving BCS, the survival of young and elderly patients receiving BCS, BCS after neoadjuvant chemotherapy, BCS for patients with breast cancer susceptibility gene mutation, and BCS for patients with ipsilateral breast tumor recurrence, so as to provide reference for the follow-up work of medical staff.
Objective To systematically evaluate the efficacy and safety of single and bilateral lung transplantation in the treatment of end-stage chronic obstructive pulmonary disease (COPD). Methods Chinese and English databases were searched by computer, including PubMed, Web of Science, The Cochrane Library, EMbase, CNKI, Wanfang database, VIP database and CBM. Case-control studies on single lung transplantation or bilateral lung transplantation for COPD were collected from the inception to July 31, 2022. We evaluated the quality of the literature via Newcastle-Ottawa Scale (NOS). All results were analyzed using Review Manager V5.3 and STATA 17.0. Results A total of 8 studies were included covering 14076 patients, including 8326 patients in the single lung transplantation group and 5750 patients in the bilateral lung transplantation group. NOS scores were≥6 points. The results of meta-analysis showed that there was no statistical difference in the postoperative 1-year survival between the two groups (P=0.070). The 2-year survival rate (P=0.002), 3-year survival rate (P<0.001), 5-year survival rate (P<0.001), overall survival rate (P＜0.001), postoperative forced expiratory volume in one second/predicted value (P<0.001), postoperative forced vital capacity (P<0.001), and postoperative 6-minute walking distance (P=0.002) were lower or shorter than those in the bilateral lung transplantation group, the postoperative intubation time (P=0.030) was longer than that in the bilateral lung transplantation group. Bilateral lung transplantation group showed better surgical results. There was no statistical difference in the mortality, obliterative bronchiolitis, length of hospitalization, primary graft dysfunction, or postoperative adverse events (P>0.05). Conclusion Bilateral lung transplantation is associated with better long-term survival and postoperative lung function compared with single lung transplantation. In-hospital mortality and postoperative complications are similar between them.
