Multiple Analytical Approaches Demonstrate a Complex Relationship of Genetic and Nongenetic Factors with Cisplatin- and Carboplatin-Induced Nephrotoxicity in Lung Cancer Patients

Background. Cisplatin and carboplatin cause nephrotoxicity by forming platinum-DNA adducts and lead to cell death.Methods. One-hundred and sixteen Taiwanese lung cancer patients who received cisplatin or carboplatin more than twice were recruited, and their genotypes were determined. The risk of renal dysfunction, injury to the kidney, failure of kidney function, loss of kidney function, and end-stage kidney disease (RIFLE) criteria were used to evaluate the occurrence of nephrotoxicity. A logistic regression, multiple regression with a classification and regression tree (CART), and the Framingham study risk score were used to analyze interactions between genetic and nongenetic factors in producing platinum-induced nephrotoxicity.Results.ERCC1118C andTP5372Arg polymorphisms were associated with increased risks of platinum-induced nephrotoxicity. Other risk factors found included the platinum type, baseline serum creatinine (Scr), coadministration of vinorelbine, and the number of chemotherapy cycles. The overall prediction rate of the CART was 82.7%, with a sensitivity of 0.630 and specificity of 0.896. The Framingham study risk prediction model contained 7 factors. Its prediction rate was 84.5%, with a sensitivity of 0.643 and specificity of 0.909.Conclusions. Genetic polymorphisms ofERCC1andTP53are risk factors for nephrotoxicity. The CART analysis may provide a clinically applicable model to predict the risk of cisplatin- and carboplatin-induced nephrotoxicity.

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The homogeneous and heterogeneous risk factors for occurrence and prognosis in lung cancer patients with bone metastasis

Journal of Bone Oncology ◽

10.1016/j.jbo.2019.100251 ◽

2019 ◽

Vol 17 ◽

pp. 100251 ◽

Cited By ~ 3

Author(s):

Ben Wang ◽

Lijie Chen ◽

Chongan Huang ◽

Jialiang Lin ◽

Xiangxiang Pan ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Bone Metastasis ◽

Cancer Patients ◽

Lung Cancer Patients

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Venous thromboembolism incidence and risk factors in non-small cell lung cancer patients receiving first-line systemic therapy

Thrombosis Research ◽

10.1016/j.thromres.2021.10.014 ◽

2021 ◽

Author(s):

Hailey Hill ◽

Myra Robinson ◽

Lauren Lu ◽

Daniel Slaughter ◽

Asim Amin ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Venous Thromboembolism ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Systemic Therapy ◽

Small Cell ◽

Small Cell Lung ◽

First Line ◽

Lung Cancer Patients

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Surveillance of bacterial airway colonization during general anesthesia does not predict postoperative pneumonia in lung cancer patients after pulmonary resection: A retrospective analysis of risk factors

The Journal of the Japanese Association for Chest Surgery ◽

10.2995/jacsurg.28.557 ◽

2014 ◽

Vol 28 (5) ◽

pp. 557-563

Author(s):

Teruaki Mizobuchi ◽

Takamasa Yun ◽

Hidemi Suzuki ◽

Terunaga Inage ◽

Takayoshi Yamamoto ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

General Anesthesia ◽

Retrospective Analysis ◽

Cancer Patients ◽

Pulmonary Resection ◽

Postoperative Pneumonia ◽

Lung Cancer Patients ◽

Airway Colonization

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Risk Factors, Prognosis and A New Nomogram for Predicting Cancer-Specific Survival Among Lung Cancer Patients with Brain Metastasis: A Retrospective Study Based on SEER

10.21203/rs.3.rs-591433/v1 ◽

2021 ◽

Author(s):

Guihong Zhang ◽

Yue Jiao Liu ◽

Ming De Ji

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Prognostic Factors ◽

Brain Metastasis ◽

Cancer Patients ◽

Primary Site ◽

Histological Type ◽

Extracranial Metastasis ◽

Cancer Specific Survival ◽

Lung Cancer Patients

Abstract Purpose: A comprehensive population-based study on risk and prognostic factors of lung cancer with brain metastasis is lacking. Methods: 95191 patients diagnosed with lung cancer between 2010 and 2017 were collected from the Surveillance, Epidemiology and End Results (SEER) database. Patients were stratified by different variables. Multivariable logistic and Cox regression were applied to analyze the risk and prognostic factors of brain metastasis among lung cancer patients, respectively. The Fine and Gray’s competing risk regression model was performed to obtain prognostic factors associated with cancer-specific mortality.Results: Among the 95191 patients diagnosed with lung cancer, 10765 patients have brain metastasis, with a metastatic incidence of 11.31%. The primary site of tumor, residence type, age, histological type, race and extracranial metastasis were all independent risk factors of brain metastasis. Compared with other histological types, small cell lung cancer displayed a highest incidence of brain metastasis (16.62%). The median overall survival (OS) among lung cancer patients with brain metastasis was only 6.05 months. The primary site of tumor, median household income, age, histological type, race, gender and extracranial metastasis were all associated with the prognosis of brain metastasis. Patients with squamous cell carcinoma had the worst prognosis, the median OS was only 3.68 months. And our established new nomogram showed a good discriminative ability on predicting the probability of cancer-specific survival among patients with brain metastasis, the C-index was 0.61.Conclusion: Our study provided a deeper insight into the risk factors and prognosis of brain metastasis among lung cancer patients.

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P2.16-13 Risk Factors of Radiation Pneumonitis in Lung Cancer Patients with Subclinical Interstitial Lung Disease After Thoracic Radiotherapy

Journal of Thoracic Oncology ◽

10.1016/j.jtho.2019.08.1880 ◽

2019 ◽

Vol 14 (10) ◽

pp. S870

Author(s):

F. Li ◽

S. Liang ◽

H. Wu ◽

Y. Xu ◽

M. Chen

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Interstitial Lung Disease ◽

Lung Disease ◽

Cancer Patients ◽

Radiation Pneumonitis ◽

Thoracic Radiotherapy ◽

Lung Cancer Patients

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Impact of Checkpoint Inhibitor Immunotherapy, Primarily Pembrolizumab, on Infection Risk in Patients With Advanced Lung Cancer: A Comparative Retrospective Cohort Study

Clinical Infectious Diseases ◽

10.1093/cid/ciaa802 ◽

2020 ◽

Cited By ~ 1

Author(s):

Alexandre E Malek ◽

Melissa Khalil ◽

Ray Hachem ◽

Anne Marie Chaftari ◽

Johny Fares ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Urinary Tract ◽

Cancer Treatment ◽

Cancer Patients ◽

Checkpoint Inhibitor ◽

Advanced Lung Cancer ◽

Lung Cancer Patients ◽

Independent Risk Factors ◽

Tract Infections

Abstract Background Checkpoint inhibitor (CPI) immunotherapy has revolutionized cancer treatment. However, immune-related adverse events and the risk of infections are not well studied. To assess the infectious risk of CPIs, we evaluated the incidence of infections in lung cancer patients treated with CPIs plus conventional chemotherapy (CC) vs CC alone. Methods We performed a retrospective comparative study of patients with advanced non–small cell lung cancer who received CPIs combined with CC and those treated with CC alone at our institution during January 2016 to February 2019. We compared clinical characteristics, treatments, and outcomes including infection rate and mortality between the groups. Results We identified 123 patients for the CPI group and 147 patients for the control (CC) group. Eighteen patients (15%) in the CPI group and 33 patients (22%) in the control group developed infections (P = .1). Pneumonia was the most common infection encountered in both groups. Urinary tract infection was higher in the CC group (40%) than in the CPI group (9%) (P = .01). On multivariable analysis, chronic obstructive pulmonary disease (P = .024), prior use of corticosteroids (P = .021), and neutropenia (P < .001) were independent risk factors for infection and severe infection requiring hospital admission. Chronic kidney disease (P = .02), prior cancer treatment (P = .023), and neutropenia (P < .0001) were identified as independent risk factors for all-cause mortality. Conclusions Lung cancer patients treated with CPIs combined with CC have a comparable risk of infection to those treated with CC alone, although there is a trend towards fewer infections in those given CPIs, particularly when it comes to urinary tract infections.

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