scholarly journals 6 Cases of Breast Cancer-Associated Neoplastic Meningitis and Literature Review

2020 ◽  
Author(s):  
Jingyi Fan ◽  
Ping Gao ◽  
Junying He ◽  
Yueli Zou ◽  
Litian Yan ◽  
...  

Abstract Background: Neoplastic meningitis refers to malignant tumors invading the meninges and subarachnoid spaces, causing intracranial metastases similar to meningitis. Discovery of tumor cells in the cerebrospinal fluid is the gold standard for its diagnosis. In China, meningeal metastasis of breast cancer is a relatively rare type. Methods: The clinical characteristics, imaging data, cerebrospinal fluid cytology and treatment options of 6 patients with meningeal metastasis of breast cancer treated in our hospital were analyzed. Results: The median age of Neoplastic meningitis was 50 years old. The cerebrospinal fluid pressure of the 6 patients increased to varying degrees and tumor cells were found in the cerebrospinal fluid. Of the 6 patients, 2 received only supportive care, and the rest received chemotherapy and intrathecal injection. The shortest survival time was 1 week, and the longest survival time was over 33.2 weeks. Conclusions: Patients whose initial Karnofsky Performance Scale scores were good and who received active and regular treatment after the diagnosis of NM had long overall survival time.

2019 ◽  
Vol 65 (6) ◽  
pp. 457-467 ◽  
Author(s):  
N.A. Shushkova ◽  
S.E. Novikova ◽  
V.G. Zgoda

The main problems in the diagnostics and treatment of malignant tumors are early detection of the disease, prediction of the course of the disease and response to therapy. The solution may be associated with identification of biomarkers secreted by tumor cells within extracellular vesicles, known as exosomes. The study of exosome proteins attracts special attention, because their molecular composition can have information about tumor identity, and also represent a set of signaling molecules that regulate the processes of tumor progression and growth. In addition, the analysis of exosomes secreted into the extracellular space corresponds to the promising concept of a liquid biopsy. In this review, we have summarized the current experience in the molecular study of exosomes in various types of malignant tumors, including colorectal cancer, lung cancer, ovaries, prostate and breast cancer, with special emphasis on omics methods and outlined the prospects for their use in diagnosis.


2015 ◽  
Vol 154 (2) ◽  
pp. 339-349 ◽  
Author(s):  
Jin Sun Lee ◽  
Michelle E. Melisko ◽  
Mark Jesus M. Magbanua ◽  
Andrea T. Kablanian ◽  
Janet H. Scott ◽  
...  

2014 ◽  
Vol 7 (6) ◽  
pp. 2110-2112 ◽  
Author(s):  
AKSHAL S. PATEL ◽  
JOSHUA E. ALLEN ◽  
DAVID T. DICKER ◽  
JONAS M. SHEEHAN ◽  
MICHAEL J. GLANTZ ◽  
...  

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii16-ii16
Author(s):  
Noriyuki Kijima ◽  
Takamune Achiha ◽  
Tomoyoshi Nakagawa ◽  
Ryuichi Hirayama ◽  
Manabu Kinoshita ◽  
...  

Abstract Leptomeningeal metastasis from solid cancer is a devastating state for cancer patients. Leptomeningeal metastasis is diagnosed either by cerebrospinal fluid cytology and/or magnetic resonance imaging (MRI). However, it remains unclear as to whether tumor cells attached to leptomeninges are the same from floating tumor cells in cerebrospinal fluid (CSF). In this study, we aim to analyze the differences between tumor cells attached to leptomeninges and floating cells in CSF by xenograft models. We used breast cancer cell line, MDA-MB-231, labelled with green fluorescent protein (GFP) and luciferase. We injected those cells into right lateral ventricle of NOD/Shi-scid IL2Rγ KO mice. When the mice got any signs of tumor, we dissected spinal cord and got CSF from mice. We sorted tumor cells by flow cytometry and extracted RNA from the sorted tumor cells from spinal cord and CSF, respectively. We analyzed transcriptome differences between tumor cells from spinal cord and CSF by RNA sequencing. We found that extracellular matrix related proteins were highly upregulated while cell growth related proteins were downregulated in tumor cells from spinal cord compared with those from CSF. These results suggest that tumor cells attached to leptomeninges have different transcriptome profiles from floating tumor cells in CSF and extracellular matrix related proteins could be therapeutic targets for breast cancer leptomeningeal metastasis.


2021 ◽  
Vol 23 (Supplement_2) ◽  
pp. ii38-ii39
Author(s):  
A Darlix ◽  
S Pouderoux ◽  
S Thezenas ◽  
A Bievelez ◽  
W Jacot ◽  
...  

Abstract BACKGROUND Breast cancer (BC) is the most frequent cause of leptomeningeal metastases (LM). LM diagnosis is confirmed by the detection of tumor cells in the cerebrospinal fluid (CSF) using conventional cytology (gold standard). However, even with optimal CSF sample volume and time to the analysis, the sensitivity of this technique is low, demanding repeated samples. Here, we aimed to evaluate the value of circulating tumor cell (CTC) detection in CSF using the CellSearch® system for LM diagnosis. MATERIAL AND METHODS This prospective, monocentric study included adult BC patients with suspected LM (clinical and/or radiological signs). CSF samples from 1–3 lumbar puncture(s) were analyzed: protein level, conventional cytology (60 drops), and CTC detection with the CellSearch® system (60 drops, first lumbar puncture only). Sensitivity (Se) and specificity (Sp) were calculated, using the results of the conventional cytology as the gold-standard. RESULTS Forty-nine eligible patients were included (Jan 2017-Jan 2020): median age 51.8, 95.9% women, 20.4% HER2+ BC, 93.8% previously diagnosed with metastatic BC, 89.8% with clinical symptoms. Among them, 40 were evaluable (CTC detection failure: n=8, eligibility criteria failure: n=1). Median sample volume was 3.0 mL for conventional cytology samples (median time to analysis: 22min) and 3.3 mL for CTC samples. Of the 40 evaluable patients, 18 had a positive cytology (on CSF sample n=°1/n°2: n=16/n=2) and were therefore diagnosed with LM using the gold-standard method. Protein level was elevated in 88.2% of these patients, compared with 45.1% of patients with negative CSF cytology (p=0.005). CTCs were detected in these 18 patients (median 5824 CTCs, range 93-45052). CTCs were also detected in 5/22 patients with a negative cytology (median 2 CTCs, range 1–44). Among them, one patient (44 CTCs) was diagnosed with a cytologically-proven LM 9 months later, while there was no further argument for LM in the other 4 patients’ history (1–3 CTC), who died of the extra-cerebral disease after a median time of 5.2 months (range 0.9–25.9). The detection of at least one CTC in CSF was associated with a Se of 100.0% (IC95% 82.4–100) and a Spe of 77.3% (IC95% 64.3–90.3) for the diagnosis of LM. CONCLUSION CTCs were detected with the CellSearch® system in all patients diagnosed with a cytologically-proven LM, as well as in a few patients without a cytological confirmation of LM. The prognosis of these patients with CSF cytology-/CTCs+ needs to be further investigated in a larger cohort.


Author(s):  
Welles Robinson ◽  
Fiorella Schischlik ◽  
E. Michael Gertz ◽  
Alejandro A. Schäffer ◽  
Eytan Ruppin

AbstractMicrobial taxa that are differentially abundant between cell types are likely to be intracellular. Here we describe a new computational pipeline called CSI-Microbes (computational identification of Cell type Specific Intracellular Microbes) that aims to identify such putative intracellular species from single cell RNA-seq data in a given tumor sample. CSI-microbes also includes additional steps that can be applied to filter out microbial contaminants from the bona fide microbial residents of cells in the patients. We first test and validate CSI-microbes on a dataset of immune cells deliberately infected with Salmonella. We then apply CSI-microbes to identify intracellular microbes in breast cancer and melanoma. We identify Streptomyces as differentially abundant in the tumor cells of one breast cancer sample. We further identify three bacterial genera and four fungal genera that are differentially abundant and hence likely to be intracellular in the tumor cells in melanoma samples. No cell type specific bacteria were identified in our analysis of brain tumor samples. In sum, CSI-Microbes offers a new way to identify likely intracellular microbes living within specific cell populations in malignant tumors, markedly extending upon previous studies aimed at inferring microbial abundance from bulk tumor expression data.


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