Dataset Information

Intracranial Response to Anti-Programmed Death 1 Therapy in a Patient with Metastatic Non-Small Cell Lung Cancer with Leptomeningeal Carcinomatosis.

ABSTRACT: Central nervous system metastasis in non-small cell lung cancer remains a therapeutic challenge and confers a poor prognosis. Here we describe a patient with lung adenocarcinoma, parenchymal brain metastases, and leptomeningeal carcinomatosis who demonstrated a sustained response to programmed death 1 inhibition combined with stereotactic radiosurgery.

SUBMITTER: Kamath SD

PROVIDER: S-EPMC6292532 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Intracranial Response to Anti-Programmed Death 1 Therapy in a Patient with Metastatic Non-Small Cell Lung Cancer with Leptomeningeal Carcinomatosis.

Kamath Suneel D SD Kumthekar Priya U PU Kruser Tim J TJ Mohindra Nisha A NA

The oncologist 20180802 12

Central nervous system metastasis in non-small cell lung cancer remains a therapeutic challenge and confers a poor prognosis. Here we describe a patient with lung adenocarcinoma, parenchymal brain metastases, and leptomeningeal carcinomatosis who demonstrated a sustained response to programmed death 1 inhibition combined with stereotactic radiosurgery. ...[more]

PMID: 30072392

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Project description:BackgroundLeptomeningeal carcinomatosis (LMC) is a rare type of cancer that settles at the meninges through metastasis of non-small cell lung cancer (NSCLC), breast cancer and melanoma. The molecular mechanism underlying LMC is not known, therefore molecular studies investigating the development of LMC are needed. Here, we aimed to identify commonly mutated genes in LMC caused by NSCLC, breast cancer, and melanoma using an in-slico approach and their interactions using integrated bioinformatic approaches/tools in this meta-analysis.MethodsWe conducted a meta-analysis using information from 16 studies that included different sequencing techniques of patients with LMC caused by three different primary cancers: breast cancer, NSCLC, and melanoma. All studies that assessed mutation information from patients with LMC were searched in PubMed, from their inception to February, 16 2022. Studies that performed NGS on LMC patients with NSCLC, breast cancer, or melanoma were included, while studies that did not apply NGS to CSF samples, did not provide information on altered genes, were reviews, editorials, or conference abstracts, or whose main goal was the detection of malignancies were all excluded. We identified commonly mutated genes in all three types of cancer. Next, we constructed a protein-protein interaction network, then performed pathway enrichment analysis. We searched National Institutes of Health (NIH) and Drug-Gene Interaction Database (DGIdb) to find candidate drugs.ResultsWe found that TP53, PTEN, PIK3CA, IL7R, and KMT2D genes were commonly mutated genes in all three types of cancer via our meta-analysis that consisted out of 16 studies. Our pathway enrichment analysis showed that all five genes were primarily associated with regulation of cell communication and signaling, and cell proliferation. Other enriched pathways included regulation of apoptotic processes of leukocytes and fibroblasts, macroautophagy and growth. According to our drug search we found candidate drugs; Everolimus, Bevacizumab and Temozolomide, which interact with these five genes.ConclusionIn conclusion, a total of 96 mutated genes in LMC were investigated via meta-analysis. Our findings suggested vital roles of TP53, PTEN, PIK3CA, KMT2D, and IL7R, which can provide insight into the molecular basis of LMC development and paving the door to the development of new targeted medicine and will encourage molecular biologists to seek biological evidence.

Dataset Information

Intracranial Response to Anti-Programmed Death 1 Therapy in a Patient with Metastatic Non-Small Cell Lung Cancer with Leptomeningeal Carcinomatosis.

Publications

Intracranial Response to Anti-Programmed Death 1 Therapy in a Patient with Metastatic Non-Small Cell Lung Cancer with Leptomeningeal Carcinomatosis.

Similar Datasets

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