Impact of acute kidney injury defined by CTCAE v4.0 during first course of cisplatin-based chemotherapy on treatment outcomes in advanced urothelial cancer patients

2016 ◽  
Vol 21 (4) ◽  
pp. 732-740 ◽  
Author(s):  
Ryutaro Ishitsuka ◽  
Jun Miyazaki ◽  
Daishi Ichioka ◽  
Takamitsu Inoue ◽  
Susumu Kageyama ◽  
...  
2018 ◽  
Vol 22 (5) ◽  
pp. 17-24 ◽  
Author(s):  
E. V. Burnasheva ◽  
Y. V. Shatokhin ◽  
I. V. Snezhko ◽  
A. A. Matsuga

Кidney injury is a frequent and significant complication of cancer and cancer therapy. The kidneys are susceptible to injury from malignant infiltration, damage by metabolites of malignant cells, glomerular  injury, nephrotoxic drugs including chemotherapeutic agents. Also  bone marrow transplantation complications, infections with immune  suppression (including septicemia), tumor lysis syndrome should be  taken into account. Chemotherapeutic agents are a common cause  of acute kidney injury but can potentially lead to chronic kidney  disease development in cancer patients. This article summarizes risk  factors of acute kidney injury in cancer patients. Risk factors are  divided into two groups. The systemic are decrease of total  circulating blood volume, infiltration of kidney tissue by tumor cells,  dysproteinemia, electrolyte disturbances. The local (renal) risk  factors are microcirculation disturbances, drugs biotransformation  with formation of reactive oxygen intermediates, high concentration of nephrotoxic agents in proximal tubules and its  sensitivity to ischemia. Drug-related risk factors include: drugs  combination with cytotoxic effect high doses long term use necessity, direct cytotoxic effect of not only chemotherapeutic agents but also its metabolites, mean solubility forming intratubular  precipitates. Early diagnosis, timely prevention and treatment of  these complications provide significantly improve nononcologic results of treatment.


2019 ◽  
Vol 144 (11) ◽  
pp. 2644-2650 ◽  
Author(s):  
Yichun Cheng ◽  
Sheng Nie ◽  
Lu Li ◽  
Yanqin Li ◽  
Diankun Liu ◽  
...  

2012 ◽  
Vol 3 (4) ◽  
pp. 278 ◽  
Author(s):  
Xue-zhong Xing ◽  
Hai-jun Wang ◽  
Chu-lin Huang ◽  
Quan-hui Yang ◽  
Shi-ning Qu ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18816-e18816
Author(s):  
Cesar Simbaqueba ◽  
Omar Mamlouk ◽  
Kodwo Dickson ◽  
Josiah Halm ◽  
Sreedhar Mandayam ◽  
...  

e18816 Background: Acute Kidney Injury (AKI) in patients with COVID-19 infection is associated with poor clinical outcomes. We examined outcomes (hemodialysis, mechanical ventilation, ICU admission and death) in cancer patients with normal estimated glomerular filtration rate (eGFR) treated in a tertiary referral center with COVID-19 infection, who developed AKI within 30 days of diagnosis. Methods: All patient data — demographics, labs, comorbidities and outcomes — were aggregated and analyzed in the Syntropy platform, Palantir Foundry (“Foundry”), as part of the Data-Driven Determinants of COVID-19 Oncology Discovery Effort (D3CODE) protocol at MD Anderson. The cohort was defined by the following: (1) positive COVID-19 test; (2) baseline eGFR >60 ml/min/1.73m2most temporally proximal lab results within 30 days prior to the patient’s infection. AKI was defined by an absolute change of creatinine ≥0.3 within 30 days after the positive COVID-19 test. Kaplan-Meier analysis was used for survival estimates at specific time periods and multivariate Cox Proportional cause-specific Hazard model regression to determine hazard ratios with 95% confidence intervals for major outcomes. Results: 635 patients with Covid-19 infection had a baseline eGFR >60 ml/min/1.73m2. Of these patients, 124 (19.5%) developed AKI. Patients with AKI were older, mean age of 61+/-13.2 vs 56.9+/- 14.3 years (p=0.002) and more Hypertensive (69.4% vs 56.4%, p=0.011). AKI patients were more likely to have pneumonia (63.7% vs 37%, p<0.001), cardiac arrhythmias (39.5% vs 20.7%, p<0.001) and myocardial infarction (15.3% vs 8.8%, p=0.046). These patients had more hematologic malignancies (35.1% vs 19%, p=0.005), with no difference between non metastatic vs metastatic disease (p=0.284). There was no significant difference in other comorbidities including smoking, diabetes, hypothyroidism and liver disease. AKI patients were more likely to require dialysis (2.4% vs 0.2%, p=0.025), mechanical ventilation (16.1% vs 1.8%, p<0.001), ICU admission (43.5% vs 11.5%, p<0.001) within 30 days, and had a higher mortality at 90 days of admission (20.2% vs 3.7%, p<0.001). Multivariate Cox Proportional cause-specific Hazard model regression analysis identified history of Diabetes Mellitus (HR 10.8, CI 2.42 - 48.4, p=0.001) as an independent risk factor associated with worse outcomes. Mortality was higher in patients with COVID-19 infection that developed AKI compared with those who did not developed AKI (survival estimate 150 days vs 240 days, p=0.0076). Conclusions: In cancer patients treated at a tertiary cancer center with COVID-19 infection and no history of CKD, the presence of AKI is associated with worse outcomes including higher 90 day mortality, ICU stay and mechanical ventilation. Older age and hypertension are major risk factors, where being diabetic was associated with worse clinical outcomes.


2020 ◽  
Vol 21 (5) ◽  
pp. 1850 ◽  
Author(s):  
Seung-Woo Baek ◽  
In-Hwan Jang ◽  
Seon-Kyu Kim ◽  
Jong-Kil Nam ◽  
Sun-Hee Leem ◽  
...  

Recent investigations reported that some subtypes from the Lund or The Cancer Genome Atlas (TCGA) classifications were most responsive to PD-L1 inhibitor treatment. However, the association between previously reported subtypes and immune checkpoint inhibitor (ICI) therapy responsiveness has been insufficiently explored. Despite these contributions, the ability to predict the clinical applicability of immune checkpoint inhibitor therapy in patients remains a major challenge. Here, we aimed to re-classify distinct subtypes focusing on ICI responsiveness using gene expression profiling in the IMvigor 210 cohort (n = 298). Based on the hierarchical clustering analysis, we divided advanced urothelial cancer patients into three subgroups. To confirm a prognostic impact, we performed survival analysis and estimated the prognostic value in the IMvigor 210 and TCGA cohort. The activation of CD8+ T effector cells was common for patients of classes 2 and 3 in the TCGA and IMvigor 210 cohort. Survival analysis showed that patients of class 3 in the TCGA cohort had a poor prognosis, while patients of class 3 showed considerably prolonged survival in the IMvigor 210 cohort. One of the distinct characteristics of patients in class 3 is the inactivation of the TGFβ and YAP/TAZ pathways and activation of the cell cycle and DNA replication and DNA damage (DDR). Based on our identified transcriptional patterns and the clinical outcomes of advanced urothelial cancer patients, we constructed a schematic summary. When comparing clinical and transcriptome data, patients with downregulation of the TGFβ and YAP/TAZ pathways and upregulation of the cell cycle and DDR may be more responsive to ICI therapy.


Author(s):  
Gilbert W. Moeckel ◽  
Veena Manjunath ◽  
Mark A. Perazella

Acute kidney injury in cancer patients is a complicated clinical condition associated with significant morbidity and mortality, especially in the hospital setting. Cancer patients may develop a variety of different kidney lesions that impair not only immediate survival but also limit the adequate treatment of the underlying malignant process. This poses a significant challenge for clinicians.The mechanisms that lead to acute kidney injury in cancer patients are similar to those seen in non-cancer patients. Moreover, significant morbidity is seen in association with chemotherapy, as well as through direct effects of the cancer on the kidney (i.e. obstruction, infiltrate).This chapter reviews the clinical presentation of the most common malignancies that affect the kidney, discusses their pathologic manifestations in kidney tissue, and reviews options for the clinical management of cancer patients with acute kidney injury.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Juan Jin ◽  
Yafang Wang ◽  
Quanquan Shen ◽  
Jianguang Gong ◽  
Li Zhao ◽  
...  

2011 ◽  
Vol 22 (4) ◽  
pp. 399-406 ◽  
Author(s):  
Christian Fynbo Christiansen ◽  
Martin Berg Johansen ◽  
Wendy J. Langeberg ◽  
Jon P. Fryzek ◽  
Henrik Toft Sørensen

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