Effect of Family and Personal Medical History on Treatment Outcomes of Tyrosine Kinase Inhibitors (TKIs) in Non-Small Cell Lung Cancer (NSCLC)

<b>Background</b>: Tyrosine kinase inhibitors (TKIs) have significantly improved outcomes in non-small cell lung cancer (NSCLC), especially among patients with actionable genetic mutations. However, the influence of family and personal medical history (FPMH) on clinical and treatment outcomes with TKI therapy remains underexplored. <b>Methods</b>: We conducted a retrospective cohort study involving 136 NSCLC patients receiving TKIs, categorized into two groups based on the presence or absence of documented FPMH. Clinical variables assessed included demographic data, comorbidities, Eastern Cooperative Oncology Group (ECOG) performance status, tumor characteristics, genetic mutations (EGFR, ALK, ROS1), treatment responses, toxicity profiles, and survival outcomes. Statistical analyses included Chi-square tests, <i>t</i>-tests, Mann-Whitney U tests, Spearman correlation, and univariate logistic regression (<i>p</i> < 0.05 threshold for significance). <b>Results</b>: Patients with FPMH (n = 34) had a significantly higher burden of chronic diseases (58.8% vs. 15.7%), poorer ECOG scores (≥3: 8.8% vs. 1.0%), increased recurrence (41.2% vs. 20.6%), and greater chemotherapy-related toxicity (50.0% vs. 28.4%) compared to those without FPMH (n = 102). However, there were no significant differences in survival duration or mutation status between the two groups. <b>Conclusions</b>: FPMH may be a predictive factor for treatment complications and recurrence in NSCLC patients receiving TKIs, although it does not appear to influence survival or genetic mutation status. These findings support the need for personalized clinical monitoring strategies based on medical history.

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Journal
Healthcare
Published
2025-07-25
DOI
https://doi.org/10.3390/healthcare13151810
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
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article

Effect of Family and Personal Medical History on Treatment Outcomes of Tyrosine Kinase Inhibitors (TKIs) in Non-Small Cell Lung Cancer (NSCLC)

Sıla Öksüz, Heves Sürmeli, Oğuzcan Kınıkoğlu, Nedim Turan et al.
Healthcare
Lung Cancer Treatments and Mutations
article

Effect of Family and Personal Medical History on Treatment Outcomes of Tyrosine Kinase Inhibitors (TKIs) in Non-Small Cell Lung Cancer (NSCLC)

Sıla Öksüz, Heves Sürmeli, Oğuzcan Kınıkoğlu, Nedim Turan, Tuğba Başoğlu, Ezgi Türkoğlu, Uğur Özkerim, Hatice Odabaş, Deniz Işık, Yunus Emre Altıntaş
article en

Abstract

<b>Background</b>: Tyrosine kinase inhibitors (TKIs) have significantly improved outcomes in non-small cell lung cancer (NSCLC), especially among patients with actionable genetic mutations. However, the influence of family and personal medical history (FPMH) on clinical and treatment outcomes with TKI therapy remains underexplored. <b>Methods</b>: We conducted a retrospective cohort study involving 136 NSCLC patients receiving TKIs, categorized into two groups based on the presence or absence of documented FPMH. Clinical variables assessed included demographic data, comorbidities, Eastern Cooperative Oncology Group (ECOG) performance status, tumor characteristics, genetic mutations (EGFR, ALK, ROS1), treatment responses, toxicity profiles, and survival outcomes. Statistical analyses included Chi-square tests, <i>t</i>-tests, Mann-Whitney U tests, Spearman correlation, and univariate logistic regression (<i>p</i> < 0.05 threshold for significance). <b>Results</b>: Patients with FPMH (n = 34) had a significantly higher burden of chronic diseases (58.8% vs. 15.7%), poorer ECOG scores (≥3: 8.8% vs. 1.0%), increased recurrence (41.2% vs. 20.6%), and greater chemotherapy-related toxicity (50.0% vs. 28.4%) compared to those without FPMH (n = 102). However, there were no significant differences in survival duration or mutation status between the two groups. <b>Conclusions</b>: FPMH may be a predictive factor for treatment complications and recurrence in NSCLC patients receiving TKIs, although it does not appear to influence survival or genetic mutation status. These findings support the need for personalized clinical monitoring strategies based on medical history.

HealthcareVol. 13(15)
Dr Lütfi Kırdar Kartal Eğitim ve Araştırma Hastanesi (TR), Sağlık Bilimleri Üniversitesi (TR)
No poverty
Openalex Percentile: Top 69%
Lung Cancer Treatments and Mutations
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