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1.
Brain ; 146(4): 1281-1298, 2023 04 19.
Artigo em Inglês | MEDLINE | ID: mdl-36445396

RESUMO

Glioblastoma is the most aggressive type of primary adult brain tumour. The median survival of patients with glioblastoma remains approximately 15 months, and the 5-year survival rate is <10%. Current treatment options are limited, and the standard of care has remained relatively constant since 2011. Over the last decade, a range of different treatment regimens have been investigated with very limited success. Tumour recurrence is almost inevitable with the current treatment strategies, as glioblastoma tumours are highly heterogeneous and invasive. Additionally, another challenging issue facing patients with glioblastoma is how to distinguish between tumour progression and treatment effects, especially when relying on routine diagnostic imaging techniques in the clinic. The specificity of routine imaging for identifying tumour progression early or in a timely manner is poor due to the appearance similarity of post-treatment effects. Here, we concisely describe the current status and challenges in the assessment and early prediction of therapy response and the early detection of tumour progression or recurrence. We also summarize and discuss studies of advanced approaches such as quantitative imaging, liquid biomarker discovery and machine intelligence that hold exceptional potential to aid in the therapy monitoring of this malignancy and early prediction of therapy response, which may decisively transform the conventional detection methods in the era of precision medicine.


Assuntos
Biomarcadores , Glioblastoma , Glioblastoma/diagnóstico por imagem , Glioblastoma/patologia , Glioblastoma/terapia , Humanos , Progressão da Doença , Biomarcadores/análise , Aprendizado de Máquina , Regras de Decisão Clínica
2.
Cureus ; 12(11): e11710, 2020 Nov 25.
Artigo em Inglês | MEDLINE | ID: mdl-33391943

RESUMO

BACKGROUND: Differences among the top five races in Texas will be explored to determine if racial, geographic, and healthcare disparities exist in patients undergoing treatment for a primary malignant brain tumor. METHODS: Data were obtained from the Texas Cancer Registry from 1995 to 2013. SAS 9.3 (SAS Institute, Inc., Cary, NC) and SEER*Stat 8.3.2 (National Cancer Institute, Bethesda, MD) software were used to analyze death from malignant brain tumors and cause-specific survival. Survival rates were compared using Kaplan-Meier curves and Log-Rank tests. Hazard ratios were estimated using the Cox proportional hazards regression model. RESULTS: Median survival was highest among Asians at 92 months (95% CI: 72, 142) and least among Whites at 20 months (95% CI: 19, 21). Patients living in the Upper Gulf Coast region of Texas had the longest survival time at 31 months (95% CI 29-35%), while those patients in the Texas Panhandle had the shortest survival time at 18 months (95% CI 14-23%). Patients with a poverty index of 0-5% had the highest median survival time of 32 months (95% CI 29-35%), as compared to patients with a poverty index of 10-20% who had a median survival of 22 months (95% CI 21-24%). CONCLUSIONS: Ethnic minorities and higher socioeconomic class demonstrated survival advantage. White males had the worst survival of those with primary malignant brain tumors. Other significant factors affecting a patient's survival rate included geographic location, poverty index, sex, and age, thus suggesting a potential genetic and environmental influence.

3.
Neurooncol Pract ; 5(3): 154-160, 2018 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-30094045

RESUMO

BACKGROUND: Although rare, primary central nervous system (CNS) tumors are associated with significant morbidity and mortality. Texas is a representative sample of the United States population given its large population, ethnic disparities, geographic variations, and socio-economic differences. This study used Texas data to determine if variations in incidence trends and rates exist among different ethnicities in Texas. METHODS: Data from the Texas Cancer Registry from 1995 to 2013 were examined. Joinpoint Regression Program software was used to obtain the incidence trends and SEER*Stat software was used to produce average annual age-adjusted incidence rates for both nonmalignant and malignant tumors in Texas from 2009 to 2013. RESULTS: The incidence trend of malignant primary CNS tumors in whites was stable from 1995 to 2002, after which the annual percent change decreased by 0.99% through 2013 (95% CI, -1.4, -0.5; P = .04). Blacks and Asian/Pacific Islanders showed unchanged incidence trends from 1995 to 2013. Hispanics had an annual percent change of -0.83 (95% CI, -1.4, -0.2; P = .009) per year from 1995 through 2013. From 2009 to 2013, the incidence rates of nonmalignant and malignant primary CNS tumors were highest among blacks, followed by whites, Hispanics, Asians, and American Indians/Alaskan Natives. CONCLUSIONS: Consistent with the 2016 Central Brain Tumor Registry of the United States report, the black population in Texas showed the highest total incidence of CNS tumors of any other race studied. Many factors have been proposed to account for the observed differences in incidence rate including geography, socioeconomic factors, and poverty factors, although the evidence for these external factors is lacking.

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