scholarly journals Leptomeningeal carcinomatosis and breast cancer: a systematic review of current evidence on diagnosis, treatment and prognosis

2021 ◽  
Vol 10 ◽  
pp. 1-23
Author(s):  
Ludovica Mollica ◽  
Claudia Leli ◽  
Silvia Puglisi ◽  
Silvia Sardi ◽  
Federico Sottotetti
2018 ◽  
Vol 56 (5) ◽  
pp. 688-701 ◽  
Author(s):  
Ina Mathilde Kjaer ◽  
Troels Bechmann ◽  
Ivan Brandslund ◽  
Jonna Skov Madsen

AbstractEpidermal growth factor receptor (EGFR) serves as a co-target for dual/pan-EGFR-inhibitors in breast cancer. Findings suggest that EGFR and EGFR-ligands are involved in resistance towards certain breast cancer treatments. The aim is to explore the validity of EGFR and EGFR-ligands in blood as prognostic and predictive biomarkers in breast cancer. The systematic review was conducted in accordance to the PRISMA guidelines. Literature searches were conducted to identify publications exploring correlations between EGFR/EGFR-ligands in serum/plasma of breast cancer patients and prognostic/predictive outcome measures. Sixteen publications were eligible for inclusion. Twelve studies evaluated EGFR, whereas five studies evaluated one or more of the EGFR-ligands. Current evidence indicates associations between low baseline serum-EGFR and shorter survival or reduced response to treatment in patients with advanced breast cancer, especially in patients with estrogen and/or progesterone receptor positive tumors. The prognostic and predictive value of EGFR and EGFR-ligands in blood has only been investigated in highly selected subsets of breast cancer patients and most studies were small. This is the first systematic review evaluating the utility of EGFR and EGFR-ligands as predictive and prognostic biomarkers in blood in breast cancer. Further exploration in large well-designed studies is needed.


BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e057309
Author(s):  
Jennifer Brunet ◽  
Jenson Price ◽  
Aurelie Baillot

IntroductionImproving body image may help to enhance the quality of life of women diagnosed with breast cancer. Although evidence suggests psychosocial interventions can effectively improve body image in this population, no review to date has assessed their feasibility or acceptability. This manuscript reports the protocol for a review summarising current evidence for the feasibility and acceptability of psychosocial interventions for body image targeting women diagnosed with breast cancer and the study methods used to evaluate the interventions in question to provide recommendations to optimise the success and sustainability of psychosocial interventions for body image and future studies. Results will also help to identify gaps in the existing evidence to provide direction for future research.Methods and analysisWe searched the following databases for articles published in the English language from January 2000 to June 2021 using a systematic search strategy: MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trials, PsychINFO and EMBASE. This search will be supplemented with a manual search of reference lists from relevant systematic reviews and included articles. Eligible studies will include peer-reviewed publications reporting on feasibility and acceptability in the evaluation of psychosocial interventions for body image targeting women diagnosed with breast cancer. All study designs are eligible, although articles are required to have reported on an intervention evaluation. Two reviewers will independently carry out study selection, extraction of quantitative and qualitative data and quality assessment. Data will be summarised in a narrative review and thematic analysis.Ethics and disseminationNo ethical approval is required because this is a protocol for a systematic review. On completion, results will be submitted for publication in a peer-reviewed scientific journal and for presentation at a relevant conference.Trial registrationThis protocol has been registered in the Prospective Register of Systematic Reviews international registry (ID: CRD42021269062, 11 September 2021).


Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5816
Author(s):  
Hyeon-Muk Oh ◽  
Chang-Gue Son

Cancer recurrence is a significant clinical issue in cancer treatment. Psychological stress has been known to contribute to the incidence and progression of cancer; however, its effect on cancer recurrence remains inconclusive. We conducted a systematic review to examine the current evidence from the Medline (PubMed), Embase and Cochrane Library up to May 2021. Among 35 relevant articles, a total of 6 studies (10 data points) were finally selected, which enrolled 26,329 patients (26,219 breast cancer patients except hepatocellular carcinoma patients in 1 study), 4 cohort studies (8 data points) and 2 RCTs (2 data points). Among the 8 data points in cohort studies, four psychological stress-related factors (two ‘anxiety’, one ‘depression’, and one ‘hostility’) were shown to be moderately related with the risk for cancer recurrence, while ‘loss of partner’ resulted in opposite outcomes. The ‘emotional‘ and ‘mental’ health factors showed conflicting results, and an RCT-derived meta-analysis proved the positive efficiency of psychotherapies in reducing the cancer recurrence risk among breast cancer patients (HR = 0.52; 95% CI 0.33–0.84). Despite the limitations, this study produces comprehensive information about the effect of psychological stress on cancer recurrence and provides reference data to clinicians and scientists for further studies.


2021 ◽  
Vol 28 (5) ◽  
pp. 3932-3944
Author(s):  
Desislava Kostova-Lefterova ◽  
Mariela Vasileva-Slaveva ◽  
Svilen Maslyankov ◽  
Assia Konsoulova ◽  
Margarita Atanasova ◽  
...  

(1) Background: We aimed to analyze currently available studies with intraoperative radiotherapy (IORT) as a choice of treatment where the Xoft Axxent® electronic brachytherapy (eBx) system was used as a single-dose irradiation and an exclusive radiotherapy approach at the time of surgery in patients with early breast cancer (EBC). We also compared the results of the systematic review to the Bulgarian experience. (2) Methods and Materials: We performed a systematic review of the studies published before February 2021, which investigate the application of a single-fraction 20 Gy radiation treatment, delivered at the time of lumpectomy in EBC patients with the Xoft Axxent® eBx System. A systematic search in PubMed, Scopus, and ScienceDirect was performed. The results are reported following the PRISMA guidelines. The criteria on patients’ selection for IORT (the additional need for EBRT), cosmetic outcomes, and recurrence rate from the eligible studies are compared to the treatment results in Bulgarian patients. (3) Results: We searched through 1032 results to find 17 eligible studies. There are no published outcomes from randomized trials. When reported, the cosmetic outcomes in most of the studies are defined as excellent. The observed recurrence rate is low (1–5.8%). Still, the number of patients additionally referred to postoperative external breast radiotherapy (EBRT) is up to 31%. Amongst the 20 patients treated in Bulgaria, the cosmetic outcomes are also evaluated as excellent, five of which (25%) are referred for EBRT. Within median follow-up of 39 months, there was one local and one distal recurrence. (4) Conclusions: Current evidence demonstrates the Xoft Axxent® eBx system as a safe and feasible technique for IORT delivery in EBC patients. There are no randomized controlled trials conducted at this time point to prove its long-term effectiveness. Better patient selection and a reimbursement strategy have to be proposed to extend the application of this technique in Bulgaria.


2021 ◽  
Vol 9 (F) ◽  
pp. 327-334
Author(s):  
Sinta Wiranata ◽  
Ida Ayu Widya Anjani ◽  
Putri Ayu Wulandari ◽  
Anak Agung Bagus Putra Indrakusuma ◽  
I Gede Krisna Arim Sadeva ◽  
...  

BACKGROUNDS: Breast cancer or breast carcinoma is the most common type of malignancy in women globally. According to the previous studies that indicate the usage of antihypertensive drugs may become a risk factor of cancer (beta-blockers [BBs], calcium channel blockers [CCBs], and diuretics). Both angiotensin-converting enzymes inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs), on the other hand, have been associated to an increased or decreased risk of breast cancer. AIM: To compare each type of antihypertensive medicines as a risk factor for breast cancer, we did a systematic review and meta-analysis of current evidence. METHODS: We utilized the terms “antihypertensive”, “anti-hypertensive”, “anti-hypertensive medications”, “breast cancer”, “risk”, “case control”, and “cohort” in PubMed, ScienceDirect, and Google Scholar databases. RESULTS: Our data calculation found that the risk of antihypertensive drugs was significantly different in overall analysis (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.42–0.83, p = 0.003). Five studies with 39.503 breast cancer patients and 372.037 controls were included in the ARBs user sub-group. Our results found significant different of antihypertensive drugs among breast cancer patient (OR = 1.47, 95% CI = 1.02–2.11 p = 0.04). Our data calculation also confirmed no significant different in antihypertensive drugs among breast cancer patient (OR = 1.07, 95% CI = 0.99–1.16, p = 0.09) in diuretics user, (OR = 1.08, 95% CI = 0.99–1.18, p = 0.08) in CCBs user, (OR = 1.11, 95% CI = 0.98–1.26, p = 0.09) in BBs user, and (OR = 1.27, 95% CI = 0.64–2.50, p = 0.50) in ACEIs user. CONCLUSIONS: Although, the finding reveal that antihypertensive drugs (diuretics, CCBs, BBs, and ACEIs) in overall are significant for the risk of breast cancer and also found that ARBs have a low potential in the risk of breast cancer.


BMJ ◽  
2021 ◽  
pp. n1872
Author(s):  
Karoline Freeman ◽  
Julia Geppert ◽  
Chris Stinton ◽  
Daniel Todkill ◽  
Samantha Johnson ◽  
...  

Abstract Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast cancer in mammography screening practice. Design Systematic review of test accuracy studies. Data sources Medline, Embase, Web of Science, and Cochrane Database of Systematic Reviews from 1 January 2010 to 17 May 2021. Eligibility criteria Studies reporting test accuracy of AI algorithms, alone or in combination with radiologists, to detect cancer in women’s digital mammograms in screening practice, or in test sets. Reference standard was biopsy with histology or follow-up (for screen negative women). Outcomes included test accuracy and cancer type detected. Study selection and synthesis Two reviewers independently assessed articles for inclusion and assessed the methodological quality of included studies using the QUality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. A single reviewer extracted data, which were checked by a second reviewer. Narrative data synthesis was performed. Results Twelve studies totalling 131 822 screened women were included. No prospective studies measuring test accuracy of AI in screening practice were found. Studies were of poor methodological quality. Three retrospective studies compared AI systems with the clinical decisions of the original radiologist, including 79 910 women, of whom 1878 had screen detected cancer or interval cancer within 12 months of screening. Thirty four (94%) of 36 AI systems evaluated in these studies were less accurate than a single radiologist, and all were less accurate than consensus of two or more radiologists. Five smaller studies (1086 women, 520 cancers) at high risk of bias and low generalisability to the clinical context reported that all five evaluated AI systems (as standalone to replace radiologist or as a reader aid) were more accurate than a single radiologist reading a test set in the laboratory. In three studies, AI used for triage screened out 53%, 45%, and 50% of women at low risk but also 10%, 4%, and 0% of cancers detected by radiologists. Conclusions Current evidence for AI does not yet allow judgement of its accuracy in breast cancer screening programmes, and it is unclear where on the clinical pathway AI might be of most benefit. AI systems are not sufficiently specific to replace radiologist double reading in screening programmes. Promising results in smaller studies are not replicated in larger studies. Prospective studies are required to measure the effect of AI in clinical practice. Such studies will require clear stopping rules to ensure that AI does not reduce programme specificity. Study registration Protocol registered as PROSPERO CRD42020213590.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Ketan Sharma ◽  
Ainhoa Costas ◽  
Lawrence N. Shulman ◽  
John G. Meara

Background. Within the developing world, many personal, sociocultural, and economic factors cause delayed patient presentation, a prolonged interval from initial symptom discovery to provider presentation. Understanding these barriers to care is crucial to optimizing interventions that pre-empt patient delay.Methods. A systematic review was conducted querying: PubMed, Embase, Web of Science, CINAHL, Cochrane Library, J East, CAB, African Index Medicus, and LiLACS. Of 763 unique abstracts, 122 were extracted for full review and 13 included in final analysis.Results. Studies posed variable risks of bias and produced mixed results. There is strong evidence that lower education level and lesser income status contribute to patient delay. There is weaker and, sometimes, contradictory evidence that other factors may also contribute.Discussion. Poverty emerges as the underlying common denominator preventing earlier presentation in these settings. The evidence for sociocultural variables is less strong, but may reflect current paucity of high-quality research. Conflicting results may be due to heterogeneity of the developing world itself.Conclusion. Future research is required that includes patients with and without delay, utilizes a validated questionnaire, and controls for potential confounders. Current evidence suggests that interventions should primarily increase proximal and affordable healthcare access and secondarily enhance breast cancer awareness, to productively reduce patient delay.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e13526-e13526 ◽  
Author(s):  
Shaan Dudani ◽  
Sasha Mazzarello ◽  
John Frederick Hilton ◽  
Brian Hutton ◽  
Lisa Vandermeer ◽  
...  

2016 ◽  
Vol 16 (6) ◽  
pp. 456-470 ◽  
Author(s):  
Shaan Dudani ◽  
Sasha Mazzarello ◽  
John Hilton ◽  
Brian Hutton ◽  
Lisa Vandermeer ◽  
...  

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