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1.
Journal of Peking University(Health Sciences) ; (6): 971-974, 2020.
Artigo em Chinês | WPRIM | ID: wpr-942106

RESUMO

The rearrangement of the gene encoding the transcription factor ETS-related gene (ERG) is thought to play a key role in the development of prostate cancer. However, the studies on the ERG mutations have been rarely reported in non-small cell lung carcinoma (NSCLC). Here, we reported genetic features regarding a case of a 68-year-old male patient who presented the primary synchronous multiple tumor lesions in the separated lungs. The patient was hospitalized due to the presence of tumor lesions at the right and left lungs revealed by a chest computerized tomography (CT) scan. After conducting lobectomies at the both lungs, the tumor nodules were all removed, and the histological analysis suggested adenocarcinoma at the both tumor lesions. The patient was diagnosed with synchronous multiple primary lung cancer (SMPLC) based on Martini-Melamed criteria and American College of Chest Physicians practice guidelines. An exome analysis of 315 genes in the two tumor lesions and a non-tumor lesion was conducted by using Illumina Nextseq500 platform from each tumor region to decipher a potential evolutional progress of SMPLC. Single or pair-end reads were first mapped to a human genome reference and filtered based on the mapping quality score. The read depth was ≥ 1 000× and the depth of coverage was 95%. The data revealed a discordant epidermal growth factor receptor (EGFR) from the separate lungs; additionally, a high frequency of point mutation on exon 9 H310P of the ERG gene was detected at the both sites of the tumor lesions. This case showed that a potential role of the molecular features analysis from each tumor lesion might contribute to the understanding of the evolutional development of SMPLC. This study suggests that the same environment may contribute certain gene(s) mutations in the same sites in the early stages of polyclonal tumor origins; meanwhile the extensive studies on these genes may help us understand the evolution and progress of tumor clones.


Assuntos
Idoso , Humanos , Masculino , Adenocarcinoma , Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares/genética , Neoplasias Primárias Múltiplas/genética , Mutação Puntual , Regulador Transcricional ERG
2.
Chinese Medical Sciences Journal ; (4): 129-134, 2013.
Artigo em Inglês | WPRIM | ID: wpr-243202

RESUMO

<p><b>OBJECTIVE</b>To investigate trichorhinophalangeal syndrome 1 gene (TRPS-1) expression patterns in different subtypes of breast cancer and its correlations with other genes and survival using microarray data sets.</p><p><b>METHODS</b>The transcripts of TRPS-1 and its role in survival in breast cancer were analyzed using published microarray data sets#x02014;Netherlands Cancer Institute (NKI) cohort and Wang cohort.</p><p><b>RESULTS</b>TRPS-1 expression was lower in basal-like breast cancer. The mRNA levels of TRPS-1 negatively correlated with Slug (Pearson correlation coefficient=-0.1366, P=0.0189 in NKI data set and Pearson correlation coefficient=-0.1571, P=0.0078 in Wang data set), FOXC1 (Pearson correlation coefficient=-0.1211, P=0.0376 in NKI data set and Pearson correlation coefficient=-0.1709, P=0.0037 in Wang data set), and CXCL1 (Pearson correlation coefficient=-0.1197, P=0.0399 in NKI data set and Pearson correlation coefficient=-0.3436, P<0.0001 in Wang data set), but positively correlated with BRCA1 (Pearson correlation coefficient=0.1728, P=0.0029 in NKI data set and Pearson correlation coefficient=0.1805, P=0.0022 in Wang data set). Low TRPS-1 expression associated with poor overall survival (hazard ratio 1.79, 95% CI of ratio 0.9894 to 3.238, P=0.054) and relapse-free survival (hazard ratio 1.913, 95% CI of ratio 1.159 to 3.156, P<0.05). The low TRPS-1 mRNA levels predicted poor outcome in breast cancer patients by the 70-gene signature.</p><p><b>CONCLUSION</b>The strong expression of TRPS-1 may serve as a good prognostic marker in breast cancer.</p>


Assuntos
Adulto , Feminino , Humanos , Pessoa de Meia-Idade , Biomarcadores Tumorais , Neoplasias da Mama , Metabolismo , Mortalidade , Patologia , Linhagem Celular Tumoral , Estudos de Coortes , Proteínas de Ligação a DNA , Intervalo Livre de Doença , Transição Epitelial-Mesenquimal , Regulação Neoplásica da Expressão Gênica , Proteínas de Neoplasias , RNA Mensageiro , RNA Neoplásico , Taxa de Sobrevida , Fatores de Transcrição
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