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1.
Int J Gen Med ; 16: 85-93, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36636716

RESUMO

Background and Aim: Most patients with non-small cell lung cancer (NSCLC) are diagnosed in advanced-stage disease and therefore have poor overall survival. It remains unclear whether nutritional status affects response rate and overall survival in NSCLC patients. This study aimed to evaluate the association of nutritional status with treatment response and overall survival in patients with advanced stage of NSCLC. Methods: Patients aged ≥18 years with stage II-IV NSCLC (January-June 2018) in a national cancer center in Indonesia were enrolled in this study. The patients were followed up for 2 years since NSCLC diagnosis was established. Clinical data including age, sex, histology of cancer, disease stage, cachexia, and weight status before chemotherapy were reviewed and analyzed. Logistic regression and Cox regression analyses were performed. Results: A total of 174 patients (71% males, mean age = 58±9.4 years) was included. Complete response was found in <1% patients, partial response 41%, stable disease 33%, and progressive disease 25%. Median survival was 12 months (95% CI: 11-13 months). Mortality rate was 5.7 per 100 person-months. Poor survival was associated with being males (HR: 1.77, 95% CI: 1.15-2.72, P = 0.009), and overweight or obesity (HR 1.67, 95% CI: 1.04-2.69, P = 0.034). These associations were independent of sex, age, staging, histopathology, performance status and D-dimer level at baseline. Cachexia and BMI at baseline were not associated with treatment response. Conclusion: Males and having overweight or obesity are independently associated with lower survival in patients with advanced stage of NSCLC undergoing platinum-based chemotherapy.

2.
BMC Res Notes ; 14(1): 437, 2021 Nov 27.
Artigo em Inglês | MEDLINE | ID: mdl-34838148

RESUMO

OBJECTIVE: This study aims to evaluate the correlation between electrolytes and serial miRNAs from our previous study. We want to prove that there is the molecular basis that underlying electrolytes disturbances as the predictive indicator to the outcome in NSCLC patients. RESULTS: There were positive correlation between potassium level with miR-34 (p = 0.008, r = 0.366), miR-148 (p = 0.004, r = 0.394) and miR-155 (p = 0.031, r = 0.300).


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , MicroRNAs , Biomarcadores Tumorais , Carcinoma Pulmonar de Células não Pequenas/genética , Humanos , Indonésia , Neoplasias Pulmonares/genética , MicroRNAs/genética
3.
Asian Pac J Cancer Prev ; 22(9): 2945-2950, 2021 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-34582666

RESUMO

The COVID-pandemic has shown significant impact on cancer care from early detection, management plan to clinical outcomes of cancer patients. The Asian National Cancer Centres Alliance (ANCCA) has put together the 9 "Ps" as guidelines for cancer programs to better prepare for the next pandemic. The 9 "Ps" are Priority, Protocols and Processes, Patients, People, Personal Protective Equipments (PPEs), Pharmaceuticals, Places, Preparedness, and Politics. Priority: to maintain cancer care as a key priority in the health system response even during a global infectious disease pandemic. Protocol and processes: to develop a set of Standard Operating Procedures (SOPs) and have relevant expertise to man the Disease Outbreak Response (DORS) Taskforce before an outbreak. Patients: to prioritize patient safety in the event of an outbreak and the need to reschedule cancer management plan, supported by tele-consultation and use of artificial intelligence technology. People: to have business continuity planning to support surge capacity. PPEs and Pharmaceuticals: to develop plan for stockpiles management, build local manufacturing capacity and disseminate information on proper use and reduce wastage. Places: to design and build cancer care facilities to cater for the need of triaging, infection control, isolation and segregation. Preparedness: to invest early on manpower building and technology innovations through multisectoral and international collaborations. Politics: to ensure leadership which bring trust, cohesion and solidarity for successful response to pandemic and mitigate negative impact on the healthcare system.


Assuntos
Institutos de Câncer/organização & administração , Planejamento em Desastres/métodos , Controle de Infecções/métodos , Neoplasias/prevenção & controle , Pandemias/prevenção & controle , Regionalização da Saúde/organização & administração , Telemedicina/métodos , Inteligência Artificial , Ásia/epidemiologia , Atenção à Saúde , Humanos , Neoplasias/epidemiologia
4.
PLoS One ; 16(9): e0257775, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34555104

RESUMO

BACKGROUND: In this study, we aimed to investigate whether FIB-4 index is useful in predicting mortality in patients with concurrent hematological malignancies and COVID-19. We also aimed to determine the optimal cut-off point for the prediction. METHODS: This is a single-center retrospective cohort study conducted in Dharmais National Cancer Hospital, Indonesia. Consecutive sampling of adults with hematological malignancies and COVID-19 was performed between May 2020 and January 2021. COVID-19 screening test using the reverse transcriptase polymerase chain reaction (RT-PCR) of nasopharyngeal samples were performed prior to hospitalization for chemotherapy. FIB-4 index is derived from [age (years) × AST (IU/L)]/[platelet count (109/L) × âˆšALT (U/L)]. The primary outcome of this study is mortality, defined as clinically validated death/non-survivor during a 3-months (90 days) follow-up. RESULTS: There were a total of 70 patients with hematological malignancies and COVID-19 in this study. Median FIB-4 Index was higher in non-survivors (13.1 vs 1.02, p<0.001). FIB-4 index above 3.85 has a sensitivity of 79%, specificity of 84%, PLR of 5.27, and NLR of 0.32. The AUC was 0.849 95% CI 0.735-0.962, p<0.001. This cut-off point was associated with OR of 16.70 95% CI 4.07-66.67, p<0.001. In this study, a FIB-4 >3.85 confers to 80% posterior probability of mortality and FIB-4 <3.85 to 19% probability. FIB-4 >3.85 was associated with shorter time-to-mortality (HR 9.10 95% CI 2.99-27.65, p<0.001). Multivariate analysis indicated that FIB-4 >3.85 (HR 4.09 95% CI 1.32-12.70, p = 0.015) and CRP> 71.57 mg/L (HR 3.36 95% CI 1.08-10.50, p = 0.037) were independently associated with shorter time-to-mortality. CONCLUSION: This study indicates that a FIB-4 index >3.85 was independent predictor of mortality in patients with hematological malignancies and COVID-19 infection.


Assuntos
COVID-19/mortalidade , Neoplasias Hematológicas/mortalidade , Adulto , Feminino , Humanos , Indonésia , Masculino , Contagem de Plaquetas/métodos , Curva ROC , Estudos Retrospectivos , SARS-CoV-2/patogenicidade
5.
Int J Anal Chem ; 2020: 2015264, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32508924

RESUMO

Acrylamide (AA) is a carcinogenic substance found in food, cigarette smoke and in an environment exposed to acrylamide. This study aims to analyze AA levels in dried blood spot (DBS) samples of lung cancer patients with smoking record, without smoking record, and also in the negative blank. Analysis of AA levels was determined by liquid chromatography tandem mass spectrometry (LC-MS/MS) and DBS extraction using protein precipitation techniques. Mass detection was done using positive electron spray ionization (ESI) and multiple reaction monitoring (MRM) type with m/z values of 71.99 > 55.23 for acrylamide and m/z 260.16 > 116.04 for propranolol as the internal standard. AA levels in lung cancer patients with smoking record is in the range of 4.670 µg/mL to 11.986 µg/mL. AA levels in lung cancer patients without smoking record is in the range of 2.041 µg/mL to 12.702 µg/mL. Data on AA levels on negative blanks is in the range of 2.72 µg/mL to 3.51 µg/mL. The results of the independent sample t-test (p > 0.05) showed that AA levels in patients with smoking record and those without smoking record did not differ significantly. Then, the Mann-Whitney test was performed between the lung cancer group and the negative blank group and a significant difference was found between the two groups (p < 0.05).

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