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Objective: To analyze the survival and prognosis of Hodgkin lymphoma (HL) patients receiving standard first-line therapy. Methods: Data of clinical characteristics and treatment outcomes of patients with HL diagnosed in Cancer Hospital Chinese Academy of Medical Sciences (CHCAMS) from January 1st, 2000 to December 31st, 2018 who received standard first-line treatment were retrospectively analyzed and compared with that of HL patients who received treatment in the Surveillance, Epidemiology and End Results (SEER) database in the United States during the same period. Factors associated with freedom from progression (FFP) of patients in CHCAMS were analyzed. Treatment and survival data of patients with relapsed/refractory HL (r/rHL) who had failed the standard first-line treatment during the corresponding period in CHCAMS were collected to analyze the outcomes of salvage therapy. Results: A total of 764 HL patients in CHCAMS were included in this study. The median age was 30 years (range, 14-83 years), with 424 males and 340 females. By February 26th, 2022, the patients were followed-up for a median time of 111 months(range, 0.3-262.0 months). Lymphoma-specific survival (LSS) rate and overall survival (OS) rate at 10 years for HL patients in CHCAMS was 91.7% (95% CI : 89.5%-93.9%) and 87.1% (95% CI : 84.5%-89.8%), respectively. LSS and OS rate at 10 years for HL patients from SEER database was 86.8% (95% CI : 86.3%-87.2%) and 79.0% (95% CI : 78.5%-79.5%), respectively. The unadjusted LSS and OS rate for patients in CHCAMS were higher than those for patients from SEER database (both P <0.001). No significant difference was observed in LSS and OS rate (both P >0.05) between the two groups after adjustment. European Organization for Research and Treatment of Cancer staging system (early-stage unfavorable: HR =2.35, 95% CI : 1.13-4.89, P =0.023; advanced stage: HR =5.44, 95% CI : 2.62-11.30, P <0.001) and serum β2 microglobulin ( HR =1.67, 95% CI : 1.08-2.58, P =0.021) were influencing factors of FFP for patients in CHCAMS. The complete remission rate, median progression-free survival (PFS), 5-year PFS rate and 5-year OS rate for the 116 patients with r/rHL was 37.9% (95% CI : 29.6%-47.0%), 15.0 months (95% CI : 9.9-20.1 months), 29.9% (95% CI : 20.9%-38.9%) and 62.9% (95% CI : 54.1%-71.7%), respectively. Conclusions: The outcomes of HL patients receiving standard first-line treatment are excellent. However, the therapeutic effect of HL patients who incurrs disease progression or relapse after standard first-line treatment is not satisfying.

Objective: To investigate the postoperative prognostic factors of non-metastatic colorectal cancer (non-mCRC), and construct a prognostic prediction model. Methods: A total of 846 patients with colorectal cancer who were admitted to the Cancer Hospital, Chinese Academy of Medical Sciences from July 1, 2014 to December 31, 2016 were included in the study. There were 314 patients in the metastatic colorectal cancer (mCRC) group and 532 patients in the non-mCRC group. The data of clinical characteristics, preoperative blood routine and common serum tumor markers for CRC tests were collected retrospectively. The disease-free survival time (DFS) data of patients in non-mCRC group were obtained by follow-up. Univariate and multivariate Cox regression analyses were used to clarify the independent risk factors of DFS, and then these factors were included to construct a nomogram prediction model. The concordance index (C index), receiver operating characteristic curve (ROC) and calibration curve were used to evaluate the performance of the model. Results: Platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9) and carbohydrate antigen 242 (CA242) in the mCRC group were higher than those of the non-mCRC group, while the lymphocyte/monocyte ratio (LMR) was lower than that of the non-mCRC group ( P <0.05). ROC analysis showed that the area under curve (AUC) of CEA, CA19-9, CA242, NLR, LMR and PLR for the diagnosis of mCRC were 0.775, 0.716, 0.712, 0.607, 0.591 and 0.556, respectively. Multivariate Cox regression analysis demonstrated that age, perineural invasion, pN stage and preoperative CA242 level were independent risk factors for DFS of non-mCRC patients ( P <0.05). Based on this, a nomogram prediction model predicting 3 years of DFS for non-mCRC patients was constructed, its C index and AUC for non-CRC prognostic prediction were 0.710 and 0.733, respectively, higher than 0.696 and 0.701 of AJCC 7th edition TNM staging system. The calibration curve of nomogram showed that the predicted DFS rate was consistent with the actual DFS rate. Conclusions: Age, perineural invasion, pN stage and preoperative CA242 level are independent risk factors for 3-year DFS of non-mCRC patients. The nomogram prediction model constructed based on these four indictors has a good predictive performance and may provide prognosis evaluation reference for the patients with non-mCRC.

Objective: To investigate the relationship between plasma levels of complements before treatment and the clinicopathological feathers and prognoses of diffuse large B-cell lymphoma (DLBCL) patients treated with Rituximab (R)-CHOP or R-CHOP-like therapy. Methods: The clinicopathological data of 105 DLBCL patients treated in cancer Hospital of Chinese Academy of Medical Sciences from 2010 to 2016 were collected. The plasma samples from 105 DLBCL patients treated with R-CHOP or R-CHOP-like therapy and 80 healthy controls were used to detect 34 complement levels before treatment by utilizing antibody microarray. The relationship between plasma levels of complements and the clinicopathological feathers and prognosis of DLBCL patients were analyzed. Results: The signal values of C1QA and CR1L in patients with international prognostic index (IPI) scores of 3-5 were 1 261.43±138.9 and 2 214.69±98.58, respectively, higher than 950.79±80.19 and 984.67±121.79 in patients with IPI scores of 0~2 (both P <0.05). The levels of C1QA and CR1L in the non-complete response (CR) group were 1 165.43±98.56 and 2 263.13±145.63, respectively, higher than 914.70±100.77 and 1 821.34±84.68 in the CR group (both P <0.05). Cox regression analysis showed that elevated C1QA signal value was associated with poor progression-free survival (PFS) and poor overall survival (OS) (PFS: HR =2.063, 95% CI : 1.220-3.489, P =0.007; OS: HR =2.23, 95% CI: 1.036~4.798, P =0.040). After IPI correction by Cox multivariate model, the elevated C1QA signal value was still correlated with poor PFS ( HR =1.765, 95% CI 1.034~3.013, P =0.037). Conclusions: The baseline plasma levels of C1QA and CR1L are correlated with IPI scores and therapeutic effects of DLBCL patients treated with R-CHOP. The baseline plasma level of C1QA has a certain predictive value for the prognostic evaluation of DLBCL.

Liver cancer is one of the malignant tumors with the highest fatality rate in China and the 5-years survival rate is only 12.5%. Early detection to undertake early treatment can improve the survival rate of patients with liver cancer. Nowadays, the unsatisfactory performance of serum Alpha-fetoprotein (AFP) test, and the problems of insensitive to small lesions for ultrasound and exposure to nuclear radiation for CT, necessitate the urgency to explore novel diagnostic biomarkers of liver cancer. It has been demonstrated the presence of autoantibodies targeting tumor-associated antigens prior to clinic symptoms implied underlying early diagnostic value of malignancies. High specificity but low sensitivity of single autoantibodies such as the most reported anti-p53, anti-insulin like growth factor-Ⅱ mRNA binding protein, and anti-glucose regulated protein can be solved by combining different autoantibodies. However, the autoantibodies of different combinations vary in studies. Simultaneously, autoantibodies in combination with AFP facilitate further improving the detection rate of liver cancer. Nevertheless, the autoantibodies related to prognosis of liver cancer needs to be more studied in the near future.

Objective: To determine the risk profile of venous thromboembolism (VTE) and evaluate VTE prophylaxis implementation of the hospitalized cancer patients in the DissolVE 2 study. Methods: The data of hospitalized cancer patients in the DissolVE 2 study were analyzed. The risk distribution of VTE, preventive measures and in-hospital VTE events of hospitalized patients with tumors were described by percentage and 95% confident interval (CI). Results: A total of 1 535 cancer patients were included. According to the Padua score, 826 (53.8%) patients were at low risk of VTE, while 709 (46.2%) patients were at high VTE risk. VTE events occurred in 4 low-risk patients (0.5%; 95% CI: 0.1%, 1.2%) and 5 high-risk patients (0.7%; 95% CI: 0.2%, 1.6%). The overall incidence was 0.6% (9/1 535, 95% CI: 0.3%, 1.1%). Among patients with high VTE risk, 666 (93.9%) did not receive any VTE prophylaxis, and only 11 (1.6%) patients received appropriate VTE prophylaxis. Among patients who received VTE prevention, no VTE event was observed. Conclusions: Nearly half of the hospitalized cancer patients are at high risk of VTE, but most of them don't receive VTE prophylaxis. The results reflect the insufficient management of VTE risk for hospitalized cancer patients in China, and improvement of awareness and practice of VTE prophylaxis is urgently needed.