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 explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. MethodsPatients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1∶1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. ResultsA total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.05). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. ConclusionN1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.
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 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 explore transcatheter arterial chemoembolization (TACE) influences on prognosis of patients with BCLC stage 0–A hepatocellular carcinoma (HCC).MethodsThe clinicopathologic data of BCLC stage 0–A HCC patients underwent the radical resection in the Affiliated Hospital of Southwest Medical University from January 2006 to June 2018 were retrospectively analyzed. These patients were divided into a preoperative TACE treatment group (PTT group, n=365) and a directly surgical resection group (DSR group, n=365). The Kplan-Meier method was used to compare the overall survival (OS) and disease free survival (DFS) between the two groups. The Cox proportional hazard model was used to analyze whether the preoperative TACE was an independent factor affecting the prognosis of patient with BCLC stage 0–A HCC.ResultsA total of 465 patients with BCLC stage 0–A HCC were enrolled, including 365 patients in the DSR group and 100 patients in the PTT group. The baseline data of the two groups were similar（P>0.050）. In the cohort, the 1-, 3-, 5-, 10-year OS rates and DFS rates were 95.3%, 83.5%, 74.3%, 56.8% and 88.0%, 63.8%, 51.1%, 36.4%, respectively in the DSR group, which were 92.7%, 72.9%, 52.3%, 35.3% and 78.1%, 54.2%, 40.4%, 31.2%, respectively in the PTT group. The Kplan-Meier survival analysis showed that the OS and DFS in the DSR group were significantly better than those in the PTT group (P=0.009, P=0.033). The multivariate Cox proportional hazard model analysis showed that the preoperative TACE was the independent risk factor for the poor prognosis in the patients with BCLC stage 0–A HCC [ HR=1.389, 95% CI (1.158, 2.199), P=0.021].ConclusionsFor patients with BCLC stage 0–A HCC, preoperative TACE doesn’t improve patient’s prognosis and might reduce survival rate. If there is no special reason, direct surgery should be performed.
ObjectiveTo analyze the impact of neoadjuvant regimens on prognosis in patients with rectal cancer in the current version of the Database from Colorectal Cancer (DACCA) database. MethodsPatient information was extracted from the updated version of DACCA on November 24, 2022 according to the established screening criteria, and the following items were analyzed: gender, age, body mass index (BMI), marriage, economic conditions, degree of differentiation, neoadjuvant treatment regimen, and pTNM staging. According to the neoadjuvant treatment regimen, the patients were divided into three groups: chemotherapy group, chemotherapy combined radiotherapy group, and chemotherapy combined targeted therapy group, and the overall survival (OS) and disease-specific survival (DSS) of patients in the three groups were analyzed, and the influencing factors of OS and DSS were analyzed by univariate and multivariate Cox proportional hazard regression models. ResultsAccording to the screening criteria, 1 716 valid data were obtained from the DACCA database, of which 954 (55.6%) were in the chemotherapy group, 332 (19.3%) in the chemotherapy combined radiotherapy group, and 430 (25.1%) in the chemotherapy combined targeted therapy group. The differences in the Kaplan-Merier survival curves of patients with different neoadjuvant regimens for OS and DSS in the three groups were statistically significant (χ2=142.142, P＜0.001; χ2=129.528, P＜0.001). There were significant differences in OS rate and DSS rate between the three groups in 3 years and 5 years (P<0.001). Further comparison of different neoadjuvant therapy groups showed that the OS of the chemotherapy combined targeted therapy group was slightly better than that of the chemotherapy group in 3 years, however, OS and DSS in 5 years were slightly worse than those the chemotherapy group, but the difference were not statistically significant (P>0.05). The OS and DSS of the chemotherapy group and the chemotherapy combined targeted therapy group were better than those of the chemotherapy combined radiotherapy group in 3 years and 5 years, and the differences were statistically significant (P<0.01). The results of multivariate analysis showed that patients’ age, economic conditions, degree of tumor differentiation, new auxiliary scheme and pTNM staging were the influencing factors of OS and DSS. ConclusionNeoadjuvant treatment regimen will affect the long-term survival prognosis of rectal cancer patients.
ObjectiveTo compare the long-term survival of elderly patients with esophageal squamous cell carcinoma (ESCC) treated with surgical versus non-surgical treatment. MethodsA retrospective analysis was conducted on the clinical data of elderly patients aged ≥70 years with ESCC who underwent esophagectomy or radiotherapy/chemotherapy at Sichuan Cancer Hospital from January 2009 to September 2017. Patients were divided into a surgical group (S group) and a non-surgical group (NS group) according to the treatment method. The propensity score matching method was used to match the two groups of patients at a ratio of 1∶1, and the survival of the two groups before and after matching was analyzed. ResultsA total of 726 elderly patients with ESCC were included, including 552 males and 174 females, with 651 patients aged ≥70-80 years and 75 patients aged ≥80-90 years. There were 515 patients in the S group and 211 patients in the NS group. The median follow-up time was 60.8 months, and the median overall survival of the S group was 41.9 months [95%CI (35.2, 48.5)], while that of the NS group was only 24.0 months [95%CI (19.8, 28.3)]. The 1-, 3-, and 5-year overall survival rates of the S group were 84%, 54%, and 40%, respectively, while those of the NS group were 72%, 40%, and 30%, respectively [HR=0.689, 95%CI (0.559, 0.849), P<0.001]. After matching, 138 patients were included in each group, and there was no statistical difference in the overall survival between the two groups [HR=0.871, 95%CI (0.649, 1.167), P=0.352]. ConclusionCompared with conservative treatment, there is no significant difference in the long-term survival of elderly patients aged ≥70 years who undergo esophagectomy for ESCC. Neoadjuvant therapy combined with surgery is still an important choice to potentially improve the survival of elderly patients with ESCC.
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 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 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.