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.
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.
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.
ObjectiveTo investigate the impact of primary tumor site on prognosis of colorectal cancer after radical resection in different stages.MethodsFour hundreds and twenty patients with colorectal cancer in our hospital from Jan. 2008 to Dec. 2016 were selected as study subjects, all patients were confirmed by pathology. According to the location of colorectal cancer, the patients were divided into rectum group (n=220), left colon group (n=105) and right colon group (n=95). The difference of clinicopathological features of patients with different group were compared. The risk factors affecting the prognosis of colorectal cancer patients were analyzed by single factor and multi factor unconditional Cox regression analysis, and the survival curve was drawn by Kaplan-Meier method, and the difference test was carried out by log-rank method.ResultsThere were no significant differences between the three groups in age, BMI, smoking history, alcohol history, family history, vascular tumor thrombus, N staging, tumor diameter, nerve invasion and cancer nodule (P>0.05). There were significant differences in sex, pathological type, anterior intestinal obstruction, TNM staging, T staging and M staging (P<0.05). The results of single factor Cox regression analysis showed that sex, pathological type, anterior intestinal obstruction, TNM staging, T staging, M staging, primary tumor site, nerve invasion and cancer nodule were the risk factors for the prognosis of the patients (P<0.05). Multivariate Cox regression analysis showed that TNM staging, location of primary tumor and nerve invasion were risk factors affecting prognosis of patients (P<0.05). The total 5-year survival rate of the rectal group was 80.45% (177/220), the total 5-year survival rate of the left hemicolon group was 67.62% (71/105), and the total 5-year survival rate of the right hemicolon group was 68.42% (65/95). The survival curves of Kaplan-Meier showed that the difference between the three groups was statistically significant (P<0.05).ConclusonsThe 5-year survival rate of patients with rectal cancer is significantly higher than that of patients with left colon cancer and right colon cancer. For patients with different stage of colorectal cancer after radical resection, the prognosis of colorectal cancer can be predicted by the location of primary tumor.
ObjectiveTo understand the relation between the occupation and long-term prognosis of the patients with colorectal cancer (CRC) based on the Database from Colorectal Cancer (DACCA). MethodsThe selected updated DACCA database as of June 29, 2022 was used for this study. The included patients were assigned into intellectual occupations group (intellectual group) and manual occupations group (manual group) referring to relevant regulatory documents in China. The survival status of the intellectual group and the manual group was compared, and then were stratified by pTNM stage. ResultsA total of 1 974 patients were included from the DACCA database according to the selection criteria, 349 of whom in the intellectual group and 1 625 of whom in the manual group. The intellectual group had higher 5-year cumulative overall survival rate (92.1% vs. 84.5%, P<0.001) and disease-specific survival rate (92.1% vs. 85.8%, P=0.002), as well as higher 10-year cumulative overall survival rate (72.4% vs. 55.2%, P<0.001) and disease-specific survival rate (75.4% vs. 59.1%, P<0.001) compared to the manual group. The stratified analysis by pTNM stage found that, for the patients with pTNM Ⅲ stage, the 5- and 10-year cumulative overall survival rates of the intellectual group were higher than those of the manual group (94.0% vs. 82.3%, P<0.001; 67.1% vs. 43.7%, P=0.014), simultaneous the 5- and 10-year cumulative disease-specific survival rates were the same as the overall survival rate (94.0% vs. 83.5%, P=0.001; 69.5% vs. 47.9%, P=0.026). Furthermore for the the patients with pTNM Ⅱ stage , it was found that the the 10-year cumulative disease-specific survival rate of the intellectual group was higher than that of the manual group (93.5% vs. 78.7%, P=0.009).ConclusionsFrom the analysis results of this study, occupation might be related to long-term prognosis in CRC cancer patients. A general trend is that the long-term prognosis of patients with intellectual occupations might be better than that of patients with manual occupations, and this difference might be relatively marked in the patients with pTNM Ⅱ and Ⅲ stages, but it needs to be autious and objective.
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.
ObjectiveTo use real-world data from a large sample of papillary thyroid microcarcinoma (PTMC) in the SEER database to investigate the impact of delayed treatment on survival outcomes. MethodsA total of 40 761 patients with PTMC eligible for the study from the SEER database of the National Cancer Institute of the United States during 2000–2019 were selected as the study objects and divided into 3 groups according to the different delayed treatment time (0, 0–6 months, >6 months). Kaplan-Meir method was used to plot the survival curve and calculate 5-year cumulative disease-specific survival (DSS) rate and overall survival (OS) rate. Cox proportional hazard regression model was used to analyze the relationship between delayed treatment time, DSS and OS in PTMC patients and the influencing factors of prognosis. ResultsAmong the 40 761 patients, 7 575 (18.58%) were males and 33 186 (81.42%) were females, most of whom were females. The patients ranged in age from 3 to 97 years old [ (51.1±13.9) years old], of which 24 043 (58.99%) were <55 years old and 16 718 (41.01%) were ≥55 years old. Received treatment immediately after diagnosis in 30 823 patients (75.62%), 9 734 patients (23.88%) received treatment within 6 months after diagnosis, 204 patients (0.50%) received treatment 6 months after diagnosis. There were significant differences in age, sex, race, lymph node stage, radiotherapy, surgical method, number of lesions and invasion of thyroid capsule among the 3 groups (P< 0.001). The survival analysis results of the 3 groups showed that the delayed treatment time had no effect on DSS and OS of PTMC patients (P>0.05). The multivariate Cox proportional hazard regression model analysis results showed that the patient’s age ≥55 years old, male, married, lymph node metastasis, radiotherapy, total thyroidectomy and thyroid capsule invasion were the risk factors affecting DSS and OS in PTMC patients (P<0.05), while delayed treatment was not risk factors for DSS and OS in PTMC patients (P>0.05). ConclusionDelayed treatment is not an independent risk factor for DSS and OS in patients with PTMC, and active monitoring is a safe alternative to surgery for some PTMCS.
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.
ObjectiveTo analyze the relation between the literacy and prognosis in the patients with colorectal cancer (CRC) in the current version of the Database from Colorectal Cancer of West China (DACCA). MethodsThe version of DACCA selected for this data analysis was updated on September 12, 2022. The data items analyzed included age, gender, literacy, tumour site, nature of tumour, pathological TNM (pTNM) stage, survival status, and survival time. The overall survival and disease-specific survival of the CRC patients with different literacy (illiteracy, primary, secondary, and tertiary educations) after radical resection were compared, and then which were analyzed in the patients with different pTNM stages. ResultsA total of 3 692 data eligible for the study were screened, of which 202 were illiteracy, 1 054 were primary education, 1 809 were secondary education, and 627 were tertiary education; And there were 13 of stage 0, 406 of stage Ⅰ, 1 193 of stage Ⅱ, 1 139 of stage Ⅲ, and 941 of stage Ⅳ. The differences in the comparison of the pTNM stage and the nature of the tumour among the patients with the four levels of literacy were not statistically significant (P>0.05), while the differences in the comparison of the gender, age, and tumour site were statistically significant (P<0.001). The overall survival and disease-specific survival curves of the CRC patients with different literacy had no statistical differences (χ2=1.982, P=0.576; χ2=2.618, P=0.454), and the stratified overall survival curves had no statistical differences among the patients with pTNM stages Ⅰ to Ⅳ (stage Ⅰ: χ2=1.361, P=0.715; stage Ⅱ: χ2=3.507, P=0.320; stage Ⅲ: χ2=3.144, P=0.370; stage Ⅳ: χ2=4.993, P=0.172), and the stratified disease-specific survival curves had no statistical differences (stage Ⅰ: χ2=0.723, P=0.868; stage Ⅱ: χ2=3.295, P=0.348; stage Ⅲ: χ2=4.767, P=0.190; stage Ⅳ: χ2=6.177, P=0.103). ConclusionsThe results of this study based on real-world big data analysis suggests that the differences of overall survival and disease-specific survival of CRC patients with different literacy levels (illiterate, primary, secondary, and tertiary education) are not statistically significant, and the results of stratified analysis based on pTNM staging are consistent with this. In the future, limitations of this study can be excluded and further analysis can be conducted by combining treatment details or expanding sample data to seek more realistic results.