BMC Cancer最新文献

Background: Femoral bone metastases (FBM) or lesions (FBL) can lead to loss of mobility and independence due to skeletal-related events (SRE), e.g. pain, deformity and pathological fractures. Aim of this study was to analyze effects of radiotherapy and surgery, different surgical techniques and complications on disease-specific survival (DSS).

Methods: Patients who underwent palliative therapy for FBM or FBL between 2014 and 2020 were retrospectively analyzed. Chi-square test was used to detect intergroup differences. Survival was calculated using Kaplan-Meier method, Cox regression and compared using log-rank test. Complications were evaluated using Chi-Square test.

Results: 145 patients were treated for proximal femoral BM/BL or pathologic fractures (10 bilaterally). Three groups were classified: surgery only (S, n = 53), surgery with adjuvant radiation (S + RT, n = 58), and primary radiation only (RT, n = 44). Most common primary tumors were breast (n = 31), prostate (n = 27), and non-small cell lung cancer (n = 27). 47 patients underwent surgery for an impending, 61 for a manifest pathological fracture. There were no significant differences in DSS between the 3 groups (S = 29.8, S + RT = 32.2, RT = 27.1 months), with the S + RT group having the longest one-year survival. Local complications occurred in 25 of 145 patients after a mean interval of 9.9 months.

Conclusion: Due to the steadily increasing incidence and survival of patients with FBM/FBL, indication for prevention and treatment of painful and immobilizing SREs should be critically assessed. Surgical treatment should always be performed with maximum stability and, whenever possible, adjuvant RT.

Background: Circulating tumour DNA (ctDNA) has emerged as a valuable liquid biopsy biomarker in the field of oncology, including head and neck squamous cell carcinomas (HNSCCs), offering potential insights into cancer diagnosis, progression, and prognosis. This review aims to comprehensively evaluate the utility of ctDNA as a prognostic biomarker in HNSCC.

Methods: PubMed and Ovid were searched as part of our review. Studies that investigated the relationship between ctDNA and prognosis in HNSCC patients were included. Outcomes extracted included basic characteristics, ctDNA details and survival data. Meta-analysis was performed on eligible studies to determine pooled progression-free/recurrence-free survival (RFS/PFS) and overall survival (OS).

Results: Twenty-two studies were included, involving 5062 HNSCC patients from 11 countries. The meta-analysis demonstrated that the positive ctDNA/methylation detection was associated with worse OS (HR = 2.00, 95% CI 1.35-2.96) and worse PFS/RFS (HR = 3.54, 95% CI 1.05-11.85). Positive ctEBV DNA was associated with poorer OS (HR = 2.86, 95% CI 1.84-4.45) and poorer PFS/RFS (HR = 1.93, 95% CI 1.74-2.13). Positive ctHPV DNA was associated with poorer OS (HR = 1.38, 95% CI 1.07-1.38) but not PFS/PFS (HR = 1.33, 95% CI 0.96-1.85).

Conclusion: Meta-analysis indicates that the status of ctDNA is significantly associated with the prognosis of HNSCC patients, with ctDNA/methylation-negative patients demonstrating better PFS/RFS and OS.

Background: The genetic causal association between the mitochondrial DNA copy number (mtDNA-CN) and the development of glioma and glioblastoma (GBM) remains unclear.

Methods: The summary-level datasets for mtDNA-CN were obtained from participants in the UK Biobank and the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. Additionally, summary statistics datasets related to glioma were collected from a comprehensive meta-analysis genome-wide association study, which included 12,488 cases and 18,169 controls. The main method employed was inverse variance weighting, supplemented by Bonferroni correction to account for multiple tests. Additionally, sensitivity analyses were performed to address potential pleiotropy and strengthen the reliability of the results.

Results: In the primary analysis, no genetic causal association was found between mtDNA-CN and glioma (OR = 1.20, 95%CI = 0.94-1.52, P = 0.1394), nor with low-grade glioma (OR = 1.09, 95%CI = 0.79-1.51, P = 0.5588). However, a suggestive genetic relationship between mtDNA-CN and glioblastoma was observed (OR = 1.42, 95%CI = 1.02-1.96, P = 0.0347). These findings were replicated in the MR analysis. Comprehensive analyses, including heterogeneity and pleiotropy analyses, as well as reverse analysis, confirmed the robustness of these results.

Conclusion: Our MR study did not find a genetic causal association between mtDNA-CN and the risk of glioma. A suggestive causal association between GBM and mtDNA-CN was detected.

Background: Family members play a crucial role in supporting women with breast cancer during their recovery. In the complex situation of being an informal caregiver, their own health and ability to support the patient needs to be acknowledged. The aim was to explore the experiences, needs and roles of family members throughout the rehabilitation process of women with breast cancer.

Methods: A qualitative study was conducted, involving semi-structured individual telephone interviews with 20 purposefully selected family members of women with breast cancer (13 men aged 24-79 years, 7 women aged 19-76 years). Data analysis utilized conventional content analysis and used "casing" as the analysis technique. The study is part of the ReScreen randomized controlled trial and all participants gave informed consent.

Results: The interviews revealed significant variation among family members, leading to the emergence of different typologies based on their reactions and specific preconditions. These typologies included: 1) The case of the assertive and confident team leader, 2) The case of the frustrated but persistent guardian, 3) The case of the reassured bystander, and 4) The case of the neglected outsider. While not mutually exclusive, the cases demonstrated clear similarities and differences in whether individuals felt secure or insecure in the rehabilitation process and their level of involvement in this process. Some described feelings of being involved and active in the process while others experienced not being involved and described feelings of abandonment. However, regardless of their role, family members reported that their own health was seldom considered by healthcare professionals.

Conclusions: This study sheds light on the concept of "we-disease," where the role of a family member is interrelated with factors such as their health literacy, supporting role, level of involvement, relationship, and identity during the patient's rehabilitation process. This highlights significant divergence in whether family members perceive the rehabilitation process as a collaborative effort or an individual challenge. These perceptions greatly impact their own well-being and ability to support women with breast cancer, underscoring the importance of recognizing family members as informal caregivers and offering tailored support from healthcare professionals when needed.

Trial registration: ClinicalTrials.gov NCT03434717. Registered February 15, 2018.

Objectives: Improved breast cancer (BC) outcomes highlight the importance of secondary primary cancers (SPCs) on survivor prognosis. The objective of this study was to investigate the potential genetic association between primary BC and ovarian cancer (OC), laying the groundwork for the development of preventive strategies for SPC-OC following BC surgery.

Methods: This study aimed to assess the connection between BC and OC using a two sample Mendelian randomization (MR) approach, exclusively employing aggregate level data from publicly available genome wide association studies (GWASs). Finally, the Genetic Risk Scores (GRS) method was used for secondary analysis to verify the results robustness further.

Results: The IVW method revealed a genetic correlation between Overall BC and ER + BC with Serous borderline tumors, while ER-BC exhibited genetic correlation with Mucinous borderline tumors and high-grade serous ovarian cancer. The findings from the GRS method aligned with those of the primary analysis, reinforcing the study's robustness.

Conclusion: Our MR Study identifies an association between BC and OC, highlighting the importance of increased vigilance in clinical practice for individuals with a history of BC. Timely intervention and treatment measures should be taken when necessary.

Background: Oxidative stress process plays a key role in aging and cancer; however, currently, there is paucity of machine-learning model studies investigating the relationship between oxidative stress and prognosis of elderly patients with esophageal squamous cancer (ESCC).

Methods: This study included elderly patients with ESCC who underwent curative ESCC resection surgery continuously from January 2013 to December 2020 and were stratified into the training and external validation cohorts. Using Cox stepwise regression analysis based on Akaike information criterion, the relationship between oxidative stress biomarkers and prognosis was explored, and a geriatric ESCC-related oxidative stress score (OSS) was constructed. To construct a predictive model for 3-year overall survival (OS), machine-learning strategies including decision tree (DT), random forest (RF), and support vector machine (SVM) were employed. These machine-learning strategies play a key role in data mining and pattern recognition tasks. Each model was tested in the external validation cohort through 1000 resampling iterations. Validation was conducted using receiver operating characteristic area under the curve (AUC) and calibration plots.

Results: The training cohort and validation cohort consisted of 340 and 145 patients, respectively. In the training cohort, the 3-year OS rate for patients was 59.2%. We constructed the OSS based on systemic oxidative stress biomarkers using the training cohort. The study found that pathological N stage, pathological T stage, tumor histological type, lymphovascular invasion, CEA, OSS, CA 19 - 9, and the amount of bleeding were the most important factors influencing the 3-year OS. These eight important features were included in training the RF, DT, and SVM and trained on the training cohort and validated cohort, respectively. In the training cohort, the RF model demonstrated the highest predictive performance with an AUC of 0.975 (0.962-0.987), while the DT model is 0.784 (0.739-0.830) and the SVM is 0.879 (0.843-0.916). In the external validation cohort, the RF model again exhibited the highest performance with an AUC of 0.791 (0.717-0.864), compared to the DT model with an AUC of 0.717 (0.640-0.794) and 0.779 (0.702-0.856) in SVM.

Conclusions: The random forest clinical prediction model constructed based on OSS can effectively predict the prognosis of elderly patients with ESCC after curative surgery.

Pediatric sarcomas present heterogeneous morphology, genetics and clinical behavior posing a challenge for an accurate diagnosis. DNA methylation is an epigenetic modification that coordinates chromatin structure and regulates gene expression, determining cell type and function. DNA methylation-based tumor profiling classifier for sarcomas (known as sarcoma classifier) from the German Cancer Research Center (Deutsches Krebsforschungszentrum) was applied to 122 pediatric sarcomas referred to a reference pediatric oncology hospital. The classifiers reported 88.5% of agreement between histopathological and molecular classification confirming the initial diagnosis of all osteosarcomas and Ewing sarcomas. The Ewing-like sarcomas were reclassified into sarcomas with BCOR or CIC alterations, later confirmed by orthogonal diagnostic techniques. Regarding the CNAs profile, osteosarcomas had several chromosomal gains and losses as well as chromothripsis, whereas Ewing sarcomas had few large events, such as amplifications of chromosomes 8 and 12. The molecular classification together with clinical and histopathological assessment could improve the diagnosis of pediatric sarcomas although there are limitations to deal with more rare classes. This study provides an increase in the number of sarcomas evaluated for DNA methylation profiling in the pediatric population.

Background: CD147 belongs to the immunoglobulin superfamily, also known as Basigin (BSG), and is a highly glycosylated single transmembrane glycoprotein present in various tissues. Meta and bioinformatic analyses were used to explore the correlation between CD147 expression and the clinicopathological characteristics prognosis of breast cancer.

Method: Literature related to breast cancer was retrieved through PubMed and CNKI databases, and a meta-analysis was conducted using Review Manager 5.2 software.

Results: The meta-analysis revealed that all articles included data on 522 patients with breast cancer and 492 normal tissues. CD147 expression in breast cancer tissue was higher compared to that in normal tissue([8.92-139.52]; p < 0.00001 I² = 80%) and negatively correlated with LM, clinical stage, histological grade, and ER positive expression. Bioinformatic analysis revealed that the expression of CD147 in breast cancer tissue was higher than that in normal tissue, and its high expression was closely related to the clinicopathological characteristics of patients, such as LM, histological grading, and clinical staging. According to the TIMER database, CD147 expression was closely related to immune cell infiltration in breast cancer.

Conclusion: These results indicated that high CD147 expression might be closely linked to the occurrence as well as the development of breast cancer, and can function as a good indicator of prognosis in the future, providing new methods and ideas for the prevention and treatment of breast cancer.

Background: Black/African American women with breast cancer have a disproportionately higher risk of mortality compared to other race groups, although their overall incidence of disease is lower. Despite this, advance care planning (ACP) and consequent code status documentation remain low in this vulnerable patient population. Code status orders (i.e., Full code, Do Not Attempt Resuscitation [DNAR], Do Not Intubate [DNI]) allow consideration of patient preferences regarding the use of aggressive treatments, such as cardiopulmonary resuscitation and intubation. The aim of this study is to characterize presence of code status orders and determine whether race affects code status documentation after the first encounter for breast cancer.

Methods: Data were derived from 7524 women with breast cancer from the University of Chicago Medical Center (UCMC) between 2016 and 2021. Cox regression was used to estimate the effects of race and adjusted for age, ethnicity, inpatient stays, metastatic breast cancer, marital status, and body mass index.

Results: The sample included 60.5% White, 3.6% Asian/Mideast Indian, 28.9% Black/African American, and 7.0% other or unknown race. Results indicate that code status orders after the first breast cancer encounter were uncommon (7.2%). Black/African American race (HR = 2.74; 95% CI: 1.75, 4.28) emerged as a significant factor associated with any code status orders compared to other race groups even when adjusting for covariates.

Conclusions: Code status documentation in this sample of women with breast cancer was low overall, yet rates were higher among Black/African American patients compared to other race groups. In fact, race remains a significant predictor of code status documentation even when accounting for indirect measures of cancer severity. This could be denoting the racial disparities (e.g., higher cancer malignancy such as triple negative breast cancer) in breast cancer mortality risk. Future research is needed to identify factors unique to Black/African American women that would increase code status documentation so that goal concordant care can be prioritized among patients with breast cancer.