Independent Predictor Of Disease-free Survival Research Articles

Osteosarcopenia in patients with cancer: A systematic review and meta-analysis.

Osteosarcopenia is frequent, and the relative risk of fracture is higher among patients with sarcopenia. It is a strong predictor of poor outcomes in older adults undergoing cancer treatment, suggesting that osteosarcopenia is important in an aging society. This study aimed to evaluate the overall survival (OS) and disease-free survival (DFS) of patients with cancer with and without osteosarcopenia. Five electronic databases-Embase, PubMed, Web of Science, Scopus, and CINAHL-were searched for relevant articles published before February 2024. Studies that met the criteria were used to evaluate the OS and DFS of patients with cancer with and without osteosarcopenia. From the 603 initially identified articles, 8 involving 1608 participants were included in the meta-analysis. We observed that patients with cancer diagnosed with osteopenia, sarcopenia, or osteosarcopenia had worse DFS than those without these conditions. Specifically, osteopenia (pooled hazard ratio [HR] = 1.70, P = .01) and osteosarcopenia (pooled HR = 2.17, P = .0001) emerged as independent predictors of DFS. However, sarcopenia was significantly associated with DFS. The quality of the included studies was generally good, and no publication bias was detected among them for either OS or DFS. These meta-analysis results suggest that osteopenia and osteosarcopenia are associated with worse DFS among patients with cancer. The use of different case definitions appeared to be a major source of heterogeneity among studies. Further studies are warranted to confirm our findings, especially those regarding OS and DFS.

Prognostic Value of Systemic Inflammatory Response in Lymph Node-Negative Colorectal Cancer.

The aim of this study was to investigate the prognostic value of systematic inflammatory response in patients with lymph node-negative colorectal cancer. We retrospectively investigated 245 patients with lymph node-negative colorectal cancer who underwent curative resection and evaluated the prognostic impact of systematic inflammatory response, which was represented by neutrophil-to-lymphocyte ratio (NLR), prognostic nutritional index (PNI), and C-reactive protein-to-albumin ratio (CAR). Then, the prognostic significance of the systematic inflammatory response on survival was analyzed using the Kaplan-Meier method in patients selected by propensity score matching (PSM) analysis. In the multivariate analysis, CAR ≥ .081 (P = .004) was independent predictors of disease-free survival, while American Society of Anesthesiologists physical status ≥3 (P = .049) and CAR ≥ .081 (P < .001) were independent predictors of overall survival. By PSM analysis, PSM-high-CAR was significantly associated with worse disease-free survival (P = .043) and overall survival (P = .041) in patients with lymph node-negative colorectal cancer. C-reactive protein-to-albumin ratio may be a significant indicator of poor long-term outcomes in patients with lymph node-negative colorectal cancer.

Evaluation of prognostic risk factors of triple-negative breast cancer with 18F-FDG PET/CT parameters, clinical pathological features and biochemical indicators.

Breast cancer is a heterogeneous disease comprising various molecular subtypes, including Luminal A, Luminal B, human epidermal growth factor receptor-2 (HER2) positive, and triple negative types, each with distinct biological characteristics and behaviors. Triple negative breast cancer (TNBC) remains a particularly challenging subtype worldwide. Our study aims to evaluate whether Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) parameters, clinical pathological features, and biochemical indicators serve as prognostic risk factors for TNBC. Additionally, we explore correlations between biochemical indicators and 18F-FDG PET/CT parameters. We conducted a retrospective analysis of 95 TNBC patients who underwent preoperative 18F-FDG PET/CT examinations at Tianjin Medical University Cancer Institute and Hospital from 2013 to 2018. Collected data included 18F-FDG PET/CT parameters, clinical and pathological features, and biochemical indicators. We used Kaplan-Meier survival analysis and multivariate Cox regression analysis to evaluate associations between 18F-FDG PET/CT parameters/biochemical indicators and disease free survival (DFS)/overall survival (OS). The log-rank test determined significant differences in survival curves, and the Spearman correlation coefficient analyzed correlations between quantitative variables. Visualization and analysis were performed using R packages. Among 95 TNBC patients, mean standardized uptake value (SUVmean) was significantly correlated with DFS. Fasting blood glucose (FBG), α- L-fucosylase (AFU) and Creatine kinase (CK) were independent predictors of DFS, while Precursor albumin (PALB) and CK were independent predictors of OS. FBG showed correlations with SUVpeak and SUVmean, and CK was correlated with peak standardized uptake value (SUVpeak). Our results indicated that 18F-FDG PET/CT parameters and biochemical indicators may constitute a new prognostic model for TNBC patients post-surgery. We found that SUVmean, FBG, AFU and CK are predictive factors for DFS in TNBC patients post-surgery, while PALB and CK are predictive factors for OS, which prompts us to pay more attention to these indicators in clinical practice. Also 18F-FDG PET/CT parameters and biochemical indicators have potential utility in constituting a new prognostic model for TNBC patients post-surgery.

A log odds of positive lymph nodes-based predictive model effectively forecasts prognosis and guides postoperative adjuvant chemotherapy duration in stage III colon cancer: a multi-center retrospective cohort study

BackgroundThe log odds of positive lymph nodes (LODDS) was considered a superior staging system to N stage in colon cancer, yet its value in determining the optimal duration of adjuvant chemotherapy for stage III colon cancer patients has not been evaluated. This study aims to assess the prognostic value of a model that combines LODDS with clinicopathological information for stage III colon cancer patients and aims to stratify these patients using the model, identifying individuals who could benefit from varying durations of adjuvant chemotherapy.MethodA total of 663 consecutive patients diagnosed with stage III colon cancer, who underwent colon tumor resection between November 2007 and June 2020 at Sun Yat-sen University Cancer Center and Longyan First Affiliated Hospital of Fujian Medical University, were enrolled in this study. Survival outcomes were analyzed using Kaplan–Meier, Cox regression. Nomograms were developed to forecast patient DFS, with the Area Under the Curve (AUC) values of time-dependent Receiver Operating Characteristic (timeROC) and calibration plots utilized to assess the accuracy and reliability of the nomograms.ResultsMultivariate analysis revealed that perineural invasion (HR = 1.776, 95% CI: 1.052–3.003, P = 0.032), poor tumor differentiation (HR = 1.638, 95% CI: 1.084–2.475, P = 0.019), and LODDS groupings of 2 and 1 (HR = 1.920, 95% CI: 1.297–2.842, P = 0.001) were independent predictors of disease-free survival (DFS) in the training cohort. Nomograms constructed from LODDS, perineural invasion, and poor tumor differentiation demonstrated robust predictive performance for 3-year and 5-year DFS in both training (3-year AUC = 0.706, 5-year AUC = 0.678) and validation cohorts (3-year AUC = 0.744, 5-year AUC = 0.762). Stratification according to this model showed that patients in the high-risk group derived significant benefit from completing 8 cycles of chemotherapy (training cohort, 82.97% vs 67.17%, P = 0.013; validation cohort, 89.49% vs 63.97%, P = 0.030).ConclusionThe prognostic model, integrating LODDS, pathological differentiation, and neural invasion, demonstrates strong predictive accuracy for stage III colon cancer prognosis. Moreover, stratification via this model offers valuable insights into optimal durations of postoperative adjuvant chemotherapy.

Preoperative Vertebral Fracture: A Prognostic Factor in Stage I-III Colorectal Cancer.

This study evaluated the prognostic impact of vertebral fractures (VFs) on the survival of patients with colorectal cancer (CRC). We included 299 patients with stage I-III CRC who had undergone elective surgery. The patients were divided into the VF group (n=94) and non-VF group (n=205). VFs were assessed using sagittal computed tomography image reconstruction (Th11-L5) performed preoperatively. Disease-free survival (DFS) and overall survival (OS) rates were analyzed. The VF group had lower 5-year DFS and OS rates compared to the non-VF group (both, p<0.001). The independent predictors of DFS were carbohydrate antigen 19-9 (CA19-9) ≥37.0 ng/ml, T3/T4 disease, stage III CRC, osteopenia, and VF; for OS, CA19-9 ≥37.0 ng/ml, stage III, osteopenia, and VF. VF, compared with osteopenia, was a more significant prognostic factor for DFS and OS in patients with stage I+ II CRC (both, p<0.001). Preoperative VF was associated with worse DFS and OS following CRC resection.

Does chronic kidney disease affect the short-term outcomes and prognosis of colorectal cancer surgery? A propensity score matching analysis.

The aim of this study was to analyze the effect of chronic kidney disease (CKD) on the short-term outcomes and prognosis of colorectal cancer (CRC) patients who underwent primary surgery. CRC patients who underwent radical surgery were included from Jan 2011 to Jan 2020 in a single hospital. The short-term outcomes and prognosis were compared between the CKD group and the Non-CKD group using propensity score matching (PSM) analysis. A total of 4056 patients undergoing CRC surgery were included, including 723 patients in the CKD group and 3333 patients in the Non-CKD group. After 1:1 PSM, there were 666 patients in each group, respectively. No significant difference was found in baseline characteristics between the two groups. (p>0.05). After PSM, the CKD group had a longer postoperative hospital stay (P=0.009) and a higher incidence of overall complications (p=0.050). Cox analysis was performed on matched patients to find predictors of overall survival (OS) and disease-free survival (DFS). We found that age (p<0.01, HR=1.045, 95% CI=1.028-1.062), tumor stage (p<0.01, HR=1.931, 95% CI=1.564-2.385) and overall complications (p<0.01, HR=1.858, 95% CI=1.423-2.425) were independent predictors of OS. Age (p<0.01, HR=1.034, 95% CI=1.020-1.049), tumor stage (p<0.01, HR=1.852, 95% CI=1.537-2.231), and overall complications (p<0.01, HR=1.651, 95% CI=1.295-2.10) were independent predictors of DFS. However, CKD was not an independent predictor of OS or DFS (OS: p=0.619, HR=1.070, 95% CI=0.820-1.396; DFS: p=0.472, HR=1.092, 95% CI=0.859-1.389). CKD prolonged postoperative hospital stay; however, CKD might not affect major postoperative complications, OS or DFS of CRC.

Comparison of Characteristics and Survival of New-Onset Hepatocellular Carcinomas With or Without Cirrhosis in a Tertiary Center.

Although hepatocellular carcinoma (HCC) usually develops in cirrhotic livers, HCCs could also arise in non-cirrhotic livers. We aimed to compare the characteristics and survival of cirrhotic- and non-cirrhotic HCCs. Data of HCC patients between 2011 and 2021 in a single tertiary center was evaluated retrospectively. Demographic, clinical, laboratory, tumoral and pathological features, and survival outcomes of cirrhotic and non-cirrhotic HCCs were compared. The study included 188 HCC patients. Median age was 64 (26-92) years and similar for study groups (P = .208). Both groups had similar male/female ratio. Forty-two patients (22.3%) had HCC in non-cirrhotic liver. Non-cirrhotic HCCs had similar tumor differentiation type, radiological characteristics, Milan, University of California San Francisco, and the Barcelona Clinic Liver Cancer stages, but more unifocal lesion (78.6% vs. 59.6%) and larger tumor size (89.5 (16-240) mm vs. 59.0 (12-290) mm) at presentation compared to non-cirrhotic HCCs. Despite larger tumor size, non-cirrhotic HCC patients had better overall, disease-free and progression-free survival rates than cirrhotic HCCs. Overall survivals for 1 and 3 years were 71.4% and 49.7% for non-cirrhotic and 54% and 28.3% for cirrhotic HCCs, respectively (P = .035). According to Cox analyses, Eastern Cooperative Oncology Group score (P <.001, hazards ratio (HR): 4.05) and curative treatments (P < .001, HR: 0.21) were predictive for overall survival in cirrhotic HCCs. Curative treatment (P = .027, HR: 0.31) was found to be a significant predictor for overall survival in non-cirrhotic HCCs. Vascular invasion was the only independent predictor for disease-free survival (HR: 2.62, 95% CI 1.01-6.93, P = .049) for non-cirrhotic HCCs. Despite larger tumor size and similar tumor stages, compared to cirrhotic HCCs, non-cirrhotic HCCs were associated with better survival outcomes.

Tumor immune microenvironment remodeling and prognosis of patients with esophageal squamous cell carcinoma after neoadjuvant chemotherapy with and without immunotherapy: a retrospective cohort study.

Immunochemotherapy was an emerging neoadjuvant treatment mode that can potentially benefit patients with esophageal carcinoma, but its synergistic mechanism and impact on the tumor immune microenvironment were still unclear. The purpose of this study was to investigate the outcomes of neoadjuvant chemotherapy (nCT) and neoadjuvant immunochemotherapy (nICT) in tumor microenvironment (TME) remodeling among patients with esophageal squamous cell carcinoma (ESCC) and to evaluate the prognostic value of immune-related biomarkers and clinicopathological characteristics. Patients with locally advanced ESCC who underwent neoadjuvant therapy followed by esophagectomy at the Fourth Hospital of Hebei Medical University between December 2019 and March 2022 were enrolled in this retrospective study. We examined TME features and immune antigen-related biomarkers before and after neoadjuvant therapy. Logistic and Cox regression model were used to evaluate the correlation between these factors and other clinical features and outcomes. A total of 50 eligible participants were analyzed, including 31 males (62%), 25 patients of ≥65 years old, 4/28/18 of upper/middle/lower thoracic cancer, 25/17/8 of poor/moderate/high tumor differentiation, 8/42 of cT1+2/T3+4 stages and 30/20 of cN0/N+ stages. In the entire cohort, the rates of pathological complete response (pCR) and major pathological response (MPR) were 18% and 30%, respectively. pCR rates were 7.1% and 22.2% (χ2=0.699; P=0.40) MPR rates were 7.1% and 38.9% (χ2=4.837; P=0.03) in the nCT and nICT groups, respectively. Compared with the non-pCR patients, the pCR patients had a higher baseline programmed cell death ligand-1 (PD-L1) tumor proportion score (TPS) positive expression rate (16.7% vs. 77.8%, χ2=13.089; P<0.001). Following neoadjuvant therapy, the expression rates of PD-L1, CD3+ T cells, and CD8+ T cells in the tumor tissue was higher in the nICT group compared to the nCT group (P<0.05). Deficient expression of mismatch repair (MMR) genes was only observed in one patient (2%). Among patient-related biomarkers, lymphocyte and neutrophil counts decreased after treatment, with no significant changes in the neutrophil-to-lymphocyte ratio or platelet-to-lymphocyte ratio (PLR). Cox regression analysis showed that pretreatment, well-differentiated tumors and positive PD-L1 status were positive predictors of MPR (P<0.05). MPR was an independent predictor of disease-free survival (DFS) (P=0.03). Compared to nCT, nICT could more significantly upregulates PD-L1 TPS, PD-L1 combined positive score (CPS), CD3+ T cells, and CD8+ T cells. Pretreatment tumor differentiation and PD-L1 TPS level could be predictive of MPR. Our findings suggested that the combination of chemotherapy and immunotherapy may be more beneficial for activating anti-tumor immunity in the TME.

Selection of postoperative adjuvant therapy for patients with stage IB lung adenocarcinoma: analysis of 653 cases

To explore the optimal postoperative adjuvant regimens for patients with stage IB lung adenocarcinoma. We respectively analyzed the data of 653 patients undergoing surgery for stage IB lung adenocarcinoma in our hospital from January, 2013 to December, 2021. The 5-year disease-free survival (DFS) and overall survival (OS) rates were compared among the patients receiving postoperative adjuvant therapy with epidermal growth factor-tyrosine kinase inhibitors (EGFR-TKIs group, n=111), chemotherapy (CT group, n=108) and clinical observation (CO group, n=434). In TKIs, CT, and CO groups, the 5-year DFS rates were 92.8%, 80.7%, and 81.7%, respectively, significantly higher in TKIs group than in CO group (P < 0.01). The 3-year OS rates of the 3 groups were 96.8%, 97.1%, and 91.7%, respectively. Subgroup analysis showed that in TKIs, CT, and CO groups, the 5-year DFS rates of patients with with T3-4 cmN0M0 were 92.6%, 84.0%, and 81.4%, respectively, significantly higher in TKIs group than in CO group (P < 0.05); the 5-year DFS rates of T2ViscPlN0M0 patients were 95.1%, 71.4%, and 83.5%, respectively. Multivariate COX regression analysis showed that age (P < 0.05; HR=0.631, 95% CI: 0.401-0.993), solid nodules (P < 0.01; HR=7.620, 95% CI: 3.037-19.121), micropapillary or solid component (P < 0.05; HR= 1.776, 95% CI: 1.010-3.122), lymphovascular invasion (P < 0.05; HR=2.981, 95% CI: 1.198-7.419), and adjuvant therapy (P < 0.01) were independent predictors of DFS. The most common adverse effects included rashes, paronychia, and diarrhea for TKIs and hematological suppression and gastrointestinal reactions for chemotherapy, and TKIs were associated with a higher incidence of grade 3 or above adverse effects (44.4% vs 9.0%). Adjuvant therapy with TKIs helps improve DFS in patients with stage IB (T3-4cmN0M0) lung adenocarcinoma but not in patients with T2ViscPlN0M0. Adjuvant chemotherapy does not improve DFS or OS in patients with stage IB lung adenocarcinoma.

Prognostic impact of osteosarcopenia in patients undergoing pancreatic resection for pancreatic ductal adenocarcinoma.

We investigated the prognostic impact of osteosarcopenia, defined as the combination of osteopenia and sarcopenia, in patients undergoing pancreatic resection for pancreatic ductal adenocarcinoma (PDAC). The relationship of osteosarcopenia with disease-free survival and overall survival was analyzed in 183 patients who underwent elective pancreatic resection for PDAC. Computed tomography was used to measure the pixel density in the midvertebral core of the 11th thoracic vertebra for evaluation of osteopenia and in the psoas muscle area of the 3rd lumbar vertebra for evaluation of sarcopenia. Osteosarcopenia was defined as the simultaneous presence of both osteopenia and sarcopenia. The study employed a retrospective design to examine the relationship between osteosarcopenia and survival outcomes. Osteosarcopenia was identified in 61 (33%) patients. In the univariate analysis, disease-free survival was significantly worse in patients with male sex (p = 0.031), pathological stage ≥ III PDAC (p = 0.001), NLR, ≥ 2.71 (p = 0.041), sarcopenia (p = 0.027), osteopenia (p = 0.001), and osteosarcopenia (p < 0.001), and overall survival was significantly worse in patients with male sex (p = 0.001), pathological stage ≥ III PDAC (p = 0.001), distal pancreatectomy (p = 0.025), sarcopenia (p = 0.003), osteopenia (p < 0.001), and osteosarcopenia (p < 0.001). In the multivariate analysis, the independent predictors of disease-free survival were osteosarcopenia (p < 0.001) and pathological stage ≥ III PDAC (p = 0.002), and the independent predictors of overall survival were osteosarcopenia (p < 0.001), male sex (p = 0.006) and pathological stage ≥ III PDAC (p = 0.001). Osteosarcopenia has an adverse prognostic impact on long-term outcomes in patients undergoing pancreatic resection for PDAC.

Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach.

Body composition (BC) may play a role in outcome prognostication in patients with gastroesophageal adenocarcinoma (GEAC). Artificial intelligence provides new possibilities to opportunistically quantify BC from computed tomography (CT) scans. We developed a deep learning (DL) model for fully automatic BC quantification on routine staging CTs and determined its prognostic role in a clinical cohort of patients with GEAC. We developed and tested a DL model to quantify BC measures defined as subcutaneous and visceral adipose tissue (VAT) and skeletal muscle on routine CT and investigated their prognostic value in a cohort of patients with GEAC using baseline, 3-6-month, and 6-12-month postoperative CTs. Primary outcome was all-cause mortality, and secondary outcome was disease-free survival (DFS). Cox regression assessed the association between (1) BC at baseline and mortality and (2) the decrease in BC between baseline and follow-up scans and mortality/DFS. Model performance was high with Dice coefficients ≥0.94 ± 0.06. Among 299 patients with GEAC (age 63.0 ± 10.7 years; 19.4% female), 140 deaths (47%) occurred over a median follow-up of 31.3 months. At baseline, no BC measure was associated with DFS. Only a substantial decrease in VAT >70% after a 6- to 12-month follow-up was associated with mortality (hazard ratio [HR], 1.99 [95% CI, 1.18 to 3.34]; P = .009) and DFS (HR, 1.73 [95% CI, 1.01 to 2.95]; P = .045) independent of age, sex, BMI, Union for International Cancer Control stage, histologic grading, resection status, neoadjuvant therapy, and time between surgery and follow-up CT. DL enables opportunistic estimation of BC from routine staging CT to quantify prognostic information. In patients with GEAC, only a substantial decrease of VAT 6-12 months postsurgery was an independent predictor for DFS beyond traditional risk factors, which may help to identify individuals at high risk who go otherwise unnoticed.

Locoregional recurrence and survival of breast-conserving surgery compared to mastectomy following neoadjuvant chemotherapy in operable breast cancer.

The risk of locoregional recurrence (LRR) and the long-term prognosis of breast-conserving surgery (BCS) after neoadjuvant chemotherapy (NAC) are still controversial. This study aimed to evaluate oncological outcomes for patients undergoing BCS after NAC and determine LRR and survival predictors. This study was a retrospective cohort study of patients with locally advanced breast cancer (LABC) who received NAC and underwent BCS or mastectomy from June 2011 to November 2020. LRR, disease-free survival (DFS), and overall survival (OS) were compared in patients undergoing BCS or mastectomy. Univariate and multivariate analyses were performed to determine LRR, DFS, and OS predictors. A total of 585 patients were included, of whom 106 (18.1%) underwent BCS and 479 (81.9%) underwent a mastectomy. The LRR rate was 11.3% in the BCS group and 16.3% in the mastectomy group, revealing no significant difference(p = 0.200). In patients who underwent BCS, clinical lymph node status, histological grade and pathological complete response (pCR) were independent factors to predict LRR. There was no significant difference in DFS and OS between the BCS and the mastectomy groups. Multivariable analysis showed that lymph node status, histological grade, molecular subtypes, pCR and Miller&Payne (M&P) classification were independent predictors of DFS. Lymph node status, molecular subtypes and pCR were independent predictors of OS. BCS or mastectomy was not an independent predictor of DFS or OS. Compared with mastectomy, BCS after NAC may not increase the risk of local recurrence or mortality, BCS can be performed in selected patients with small tumor size and good response to NAC.

Prognostic usefulness of the C-reactive protein-albumin-lymphocyte (CALLY) index as a novel biomarker in patients undergoing colorectal cancer surgery

BackgroundThe C-reactive protein (CRP)–albumin–lymphocyte (CALLY) index is a novel immuno-nutritional biomarker based on the levels of CRP, serum albumin, and lymphocyte count. This study examined the prognostic value of the CALLY index in patients with colorectal cancer undergoing curative surgery. MethodsBetween 2010 and 2017, 578 patients with stage II-III colorectal cancer who underwent curative resection were enrolled. The CALLY index was defined as (albumin × lymphocyte)/(CRP × 104). We investigated the association of the CALLY index with disease-free survival (DFS) and overall survival (OS). ResultsThe cutoff value of the CALLY index was determined to be 2. Of the 578 patients, 175 (30%) had a preoperative CALLY index <2. In multivariate analysis, the pre-operative carcinoembryonic antigen (CEA) level (p = 0.003), cell differentiation (p = 0.045), venous invasion (p = 0.036), Tumor-Node-Metastasis stage (p < 0.001), and CALLY index score <2 (p = 0.006) were independent predictors of DFS. Meanwhile, preoperative carbohydrate antigen (CA)19-9 levels (p = 0.019), lymphatic invasion (p = 0.018), preoperative platelet (p = 0.037), and CALLY index score <2 (p = 0.007) were independent predictors of OS. ConclusionThe CALLY index may be an independent prognostic biomarker for long-term outcomes in patients with colorectal cancer.

Efficacy of adjuvant capecitabine in residual triple negative breast cancer: a multicenter observational Turkish Oncology Group (TOG) study

ABSTRACT Background Triple negative breast cancer (TNBC) is characterized by high rates of recurrence, especially in patients with residual disease after neoadjuvant chemotherapy (NAC). Capecitabine is being used as standard adjuvant treatment in residual TNBC. We aimed to investigate the real-life data regarding the efficacy of capecitabine in residual TNBC. Design and methods In this retrospective multicenter study, TNBC patients with residual disease were evaluated. Patients, who received standard anthracycline and taxane-based NAC and adjuvant capecitabine were eligible. Overall survival (OS), disease free survival (DFS) and toxicity were analyzed. Results 170 TNBC patients with residual disease were included. Of these, 62.9% were premenopausal. At the time of analysis, the recurrence rate was 30% and death rate was 18%. The 3-year DFS and OS were 66% and 74%, respectively. In patients treated with adjuvant capecitabine, residual node positive disease stood out as an independent predictor of DFS (p = 0.024) and OS (p = 0.032). Undergoing mastectomy and the presence of T2 residual tumor was independent predictors of DFS (p = 0.016) and OS (p = 0.006), respectively. Conclusion The efficacy of capecitabine was found lower compared to previous studies. Selected patients may have further benefit from addition of capecitabine. The toxicity associated with capecitabine was found lower than anticipated.

Upregulation of CCNB2 and a novel lncRNAs-related risk model predict prognosis in clear cell renal cell carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is the main type of renal cell carcinoma. Cyclin B2 (CCNB2) is a subtype of B-type cyclin that is associated with the prognosis of several cancers. This study aimed to identify the relationship between CCNB2 and progression of ccRCC and construct a novel lncRNAs-related model to predict prognosis of ccRCC patients.MethodsThe data were obtained from public databases. We identified CCNB2 in ccRCC using Kaplan–Meier survival analysis, univariate and multivariate Cox regression, and Gene Ontology analysis. External validation was then performed. The risk model was constructed based on prognostic lncRNAs by the LASSO algorithm and multivariate Cox regression. Receiver operating characteristics (ROC) curves were used to evaluate the model. Consensus clustering analysis was performed to re-stratify the patients. Finally, we analyzed the tumor-immune microenvironment and performed screening of potential drugs.ResultsCCNB2 associated with late clinicopathological parameters and poor prognosis in ccRCC and was an independent predictor for disease-free survival. In addition, CCNB2 shared the same expression pattern with known suppressive immune checkpoints. A risk model dependent on the expression of three prognostic CCNB2-related lncRNAs (SNHG17, VPS9D1-AS1, and ZMIZ1-AS1) was constructed. The risk signature was an independent predictor of ccRCC. The area under the ROC (AUC) curve for overall survival at 1-, 3-, 5-, and 8-year was 0.704, 0.702, 0.741, and 0.763. The high-risk group and cluster 2 had stronger immunogenicity and were more sensitive to immunotherapy.ConclusionCCNB2 could be an important biomarker for predicting prognosis in ccRCC patients. Furthermore, we developed a novel lncRNAs-related risk model and identified two CCNB2-related molecular clusters. The risk model performed well in predicting overall survival and immunological microenvironment of ccRCC.

C-Reactive Protein-Albumin Ratio (CAR): A More Promising Inflammation-Based Prognostic Marker for Patients Undergoing Curative Hepatectomy for Hepatocellular Carcinoma.

Systemic inflammatory response is a hallmark of cancer and plays a significant role in the development and progression of various malignant tumors. This research aimed to estimate the prognostic function of the C-reactive protein-albumin ratio (CAR) in patients undergoing hepatectomy for hepatocellular carcinoma (HCC) and compare it with other inflammation-based prognostic scores, including the neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, systemic immune inflammation index, prognostic index, Glasgow prognostic score, and modified Glasgow prognostic score. Retrospective analysis was conducted on data from 1039 HCC cases who underwent curative liver resection. The prognostic performance of CAR was compared with other scores using the area under the time-dependent receiver operating characteristic (t-ROC) curve. Multivariable Cox regression analyses were performed to confirm independent predictors for disease-free survival (DFS) and overall survival (OS). The area under the t-ROC curve for CAR in the evaluation of DFS and OS was significantly greater than that of other scores and alpha-fetoprotein (AFP). Patients were stratified based on the optimal cut-off value of CAR, and the data revealed that both DFS and OS were remarkably worse in the high-CAR set compared to the low-CAR set. Multivariable Cox analysis demonstrated that CAR was an independent prognostic parameters for assessing DFS and OS. Regardless of AFP levels, all patients were subsequently divided into significantly different subgroups of DFS and OS based on CAR risk stratification. Similar results were observed when applying CAR risk stratification to other scoring systems. CAR also showed good clinical applicability in patients with different clinical features. CAR is a more effective inflammation-based prognostic marker than other scores and AFP in predicting DFS as well as OS among patients with HCC after curative hepatectomy.

Predictors of recurrence in breast cancer patients with pathological partial response.

Patients with residual disease after neoadjuvant chemotherapy have a relative risk of developing recurrence. This study investigates the risk factors for recurrence in locally advanced breast cancer patients with residual disease and evaluates survival analysis. This is a retrospective, single-center study. Breast cancer patients who failed to achieve a pathological complete response after neoadjuvant chemotherapy were included. Demographic, clinicopathological, and treatment characteristics were evaluated to identify predictive factors of recurrence and survival analysis. We included 205 patients in this study. After a median of 31 months of follow-up, 10 patients died, and 20 developed distant metastasis. Disease-free survival and disease-specific survival were 73.8% and 83.1%, respectively. Lymphovascular invasion and non-luminal subtype were independent predictors of locoregional recurrence. In situ carcinoma, lymphovascular invasion, ypTIII stage, and non-luminal molecular subtypes were independent predictors of disease-free survival. The only independent factor affecting disease-specific survival was cNII-III. The number of involved lymph nodes was an independent predictor of disease-free survival in patients without complete axillary response. Factors affecting disease-specific survival and disease-free survival were cNII-III and the number of involved lymph nodes, respectively. Patients with non-luminal, large residual tumors with in situ carcinoma, lymphovascular invasion, clinically positive axilla, and residual nodal involvement have a high relative risk for recurrence and may benefit from additional treatments.

PET/CT with 11C-methionine as a predictor of disease-free survival in patients with IDH1 wild type diffuse glioma

To study the metabolic characteristics of IDH1wt diffuse astrocytomas using 11C-methionine PET/CT and prognostic significance of PET-associated parameters for disease-free survival. We analyzed 79 adults with IDH1wt diffuse gliomas. Quantitative analysis consisted of 11C-methionine accumulation index and metabolic tumor volume. Kaplan-Meier and Cox analyses were used to determine prognostic significance of histological findings and PET parameters. Glioblastoma and astrocytoma grade 2 or 3 were diagnosed in 41% and 59% of patients, respectively. Accumulation index significantly differed between astrocytomas grade 2 and 3 (p=0.03). Significant predictors of disease-free survival were age, histological type of astrocytoma and tumor grade, contrast enhancement, PET-associated biomarkers (accumulation index and metabolic tumor volume) and compliance of metabolic pattern with glioblastoma syndrome (p<0.05). Disease-free survival >24 months was established for age <41 years, maximum accumulation index <1.64, tumor accumulation index <1.39 and metabolic tumor volume <13.44 cm3. In multivariate Cox analysis, independent predictors of disease-free survival were age and PET syndrome of glioblastoma. Diffuse IDH1wt gliomas are a heterogeneous group differing in metabolic characteristics and prognosis. PET/CT with 11C-methionine may be effective for stratifying patients into groups with unfavorable and favorable prognosis, as well as assessment of advisability of in-depth searching for IDH1/IDH2 mutation.

The expression of Plakoglobin in residual cancer after neoadjuvant chemotherapy for breast cancer and its prognostic impact on patients

Objective: To investigate the relationship between the expression levels of Plakoglobin protein in residual lesions after neoadjuvant chemotherapy (NAC) and the prognosis of breast cancer patients. Methods: Clinical and pathological data from 174 breast cancer patients who underwent surgery after receiving NAC at the Cancer Hospital of Chinese Academy of Medical Sciences from January 2009 to December 2017 were collected. The expression level of Plakoglobin in residual cancer lesions was evaluated by immunohistochemistry. The correlation between Plakoglobin expression level and clinicopathological features was analyzed. Survival analysis was performed using the Kaplan-Meier method, and Cox proportional hazard regression models were used for factor analysis. Results: Among the 174 patients, 140 had low expression of Plakoglobin, and 34 had high expression. The median disease-free survival (DFS) and overall survival (OS) in the Plakoglobin low expression group were 59.46 and 71.68 months, respectively, both of which were higher than those in the high expression group (36.58 and 47.26 months, respectively, both P<0.05). Univariate analysis showed that Plakoglobin expression, pathological N stage, lymphovascular invasion status, histological grade, Ki-67, and molecular subtypes were associated with OS (all P<0.05), while pathological N stage, histological grade, and Ki-67 were associated with DFS (all P<0.05). Multivariate analysis revealed that Plakoglobin expression (HR=2.438, 95% CI: 1.256-4.735, P=0.008) was an independent predictor for OS, and Ki-67 (HR=2.228, 95% CI: 1.316-3.773, P=0.003) was an independent predictor for DFS. Conclusion: In breast cancer patients with residual lesions after NAC, those with low Plakoglobin expression have relatively longer OS and Plakoglobin is an independent prognostic factor for OS.

Prediction of macrotrabecular-massive hepatocellular carcinoma by using MR-based models and their prognostic implications.

To evaluate the efficacy of MRI-based radiomics and clinical models in predicting MTM-HCC. Additionally, to investigate the ability of the radiomics model designed for MTM-HCC identification in predicting disease-free survival (DFS) in patients with HCC. A total of 336 patients who underwent oncological resection for HCC between June 2007 and March 2021 were included. 127 patients in Cohort1 were used for MTM-HCC identification, and 209 patients in Cohort2 for prognostic analyses. Radiomics analysis was performed using volumes of interest of HCC delineated on pre-operative MRI images. Radiomics and clinical models were developed using Random Forest algorithm in Cohort1 and a radiomics probability (RP) of MTM-HCC was obtained from the radiomics model. Based on the RP, patients in Cohort2 were divided into a RAD-MTM-HCC (RAD-M) group and a RAD-non-MTM-HCC (RAD-nM) group. Univariate and multivariate Cox regression analyses were employed to identify the independent predictors for DFS of patients in Cohort2. Kaplan-Meier curves were used to compare the DFS between different groups pf patients based on the predictors. The radiomics model for identifying MTM-HCC showed AUCs of 0.916 (95% CI: 0.858-0.960) and 0.833 (95% CI: 0.675-0.935), and the clinical model showed AUCs of 0.760 (95% CI: 0.669-0.836) and 0.704 (95% CI: 0.532-0.843) in the respective training and validation sets. Furthermore, the radiomics biomarker RP, portal or hepatic vein tumor thrombus, irregular rim-like arterial phase hyperenhancement (IRE) and AFP were independent predictors of DFS in patients with HCC. The DFS of RAD-nM group was significantly higher than that of the RAD-M group (p < .001). MR-based clinical and radiomic models have the potential to accurately diagnose MTM-HCC. Moreover, the radiomics signature designed to identify MTM-HCC also can be used to predict prognosis in patients with HCC, realizing the diagnostic and prognostic aims at the same time.