Abstract
This study aimed to measure relative telomere length (RTL) in blood leukocytes of advanced-stage NSCLC patients either with or without Osimertinib-induced ADRs and determine whether RTL could serve as a biomarker of Osimertinib-induced ADRs. Blood leukocytes RTL were measured in 63 advanced-stage NSCLC patients and 62 age-matched healthy controls using real-time polymerase chain reaction. In patients with advanced-stage NSCLC, RTL was significantly shorter than that in healthy controls (P < 0.001). Compared to patients without ADRs and those with mild/moderate ADRs, patients with severe ADRs exhibited significantly decreased RTL (P < 0.001, P < 0.001, respectively). ROC curve analysis uncovered a diagnostic value of RTL as a biomarker of Osimertinib-induced ADRs (AUC = 1.000, P < 0.001). Kaplan-Meier analysis revealed a significant association between shorter RTL and increased cumulative incidence of Osimertinib-induced ADRs in patients with advanced-stage NSCLC (P < 0.001). Shorter RTL in blood leukocytes would reflect the occurrence of Osimertinib-induced ADRs and might emerge as a promising biomarker for identifying advanced-stage NSCLC patients who are at risk of experiencing Osimertinib-induced ADRs, particularly those with severe ADRs.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-024-77935-0.
Keywords: Telomere length, Non-small cell lung cancer, Osimertinib, Osimertinib-induced adverse drug reactions, Biomarker
Subject terms: Biomarkers, Diseases, Oncology
Introduction
Targeted therapy is currently considered the established standard-of-care for patients diagnosed with advanced-stage non-small cell lung cancer (NSCLC) who have epidermal growth factor receptor (EGFR) driver mutations, which are the most commonly observed gene mutations in this type of cancer1,2. However, the use of EGFR tyrosine-kinase inhibitors (EGFR-TKIs) is often accompanied by the development of drug resistance, resulting in disease progression for all patients over time. The T790M mutation in EGFR exon 20 is the most frequently observed mechanism of resistance to first- and second-generation EGFR-TKI treatment. It has been found in approximately 50–60% of NSCLC patients who were treated with a first- or second-generation EGFR-TKI3. Osimertinib, a third-generation EGFR-TKI, has been approved for the first-line treatment of advanced NSCLC and was the initial drug to successfully address the T790M resistance mutation4. A Phase III clinical trial has uncovered that the use of a second-line treatment, following initial treatment with a first-generation EGFR-TKI, resulted in a significantly longer progression-free survival (PFS) compared to platinum-pemetrexed chemotherapy5. With the increasing clinical use of Osimertinib, the attention towards adverse drug reactions (ADRs) has grown in recent years. Although Osimertinib has been shown to be effective, there have been reports of a relatively high occurrence of ADRs in NSCLC patients receiving Osimertinib6,7. These ADRs not only contribute to significant morbidity and mortality rates, but also impose a financial burden on the healthcare system8, which could seriously impact the quality of life for affected patients. It is crucial to acknowledge that the identification of rare and serious ADRs may pave the way for accurately and specifically predicting the therapeutic efficacy and safety of antitumor therapy. However, there is, to date, a lack of reliable, specific biomarkers for predicting and monitoring ADRs caused by Osimertinib in patients with NSCLC.
Given that telomeres act as a biological clock determining the lifespan of cells and organisms9, telomere length is currently attracting growing attention as a possible biomarker of various pathological conditions10–20. Telomeres are repetitive hexanucleotides (TTAGGG)n located at the end of chromosomes9. Their main function is to protect chromosome ends from damage and instability21. During each cell cycle, telomeres generally undergo shortening, serving as an indicator of the cell’s proliferative history22. When telomeres become critically short, cells either enter a state of senescence cell cycle arrest or undergo apoptosis. It has been well-recognized that telomere attrition is primarily influenced by age and genetic factors, but it can also be affected by host-related genetic characteristics, such as gender, as well as lifestyle factors including smoking, physical activity, and stress23. From that viewpoint, telomere shortening has been previously linked to various diseases such as lung, liver, hematologic, and cardiovascular diseases, as well as multiple types of cancer10–24. In addition to this, alterations in telomere length have been reportedly associated with various types of ADRs25,26.
Despite that, to our knowledge, the prognostic value of telomere length in ADRs caused by Osimertinib remains relatively nascent and poorly understood. Accordingly, the objective of this study was to measure telomere length in blood leukocytes of NSCLC patients with and without ADRs and determine whether blood leukocytes telomere length could be utilized as a possible biomarker for identifying the occurrence of severe ADRs in patients with advanced-stage NSCLC.
Methods
The study protocol received approval from the ethical committee of the Faculty of Dentistry/Faculty of Pharmacy, Mahidol University (MU-MOU COA 2023/029.2504) and was conducted in accordance with the ethical standards specified in the Declaration of Helsinki. All study participants were required to provide written informed consent prior to their involvement in the study.
Participants and study design
This retrospective and prospective cohort study consisted of 63 patients with advanced-stage NSCLC and 62 age- and gender-matched healthy controls. A cohort of 63 patients with advanced-stage EGFR mutation-positive NSCLC was recruited from the Division of Cancer, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University. These patients were diagnosed with NSCLC based on histopathological and cytological examinations of primary and metastasis lesions. All patients were administered Osimertinib as a second-line treatment following the failure of first-line chemotherapy or first/second generation EGFR-TKIs as the initial treatment. Healthy volunteers were selected for this study through purposive sampling. These individuals participated in an annual health check-up at Faculty of Medicine Ramathibodi Hospital and met the criteria of having no clinical indications or symptoms of NSCLC, autoimmune disorders, or liver disorders. This information was documented in their medical records and confirmed through consultations.
Inclusion criteria for this study were as follows: a confirmed diagnosis of NSCLC based on histological and cytological evidence, clinical stage IIIB-IV cancer as per the 8th edition of the tumor, node, and metastasis (TNM) classification, presence of activating EGFR mutation, previous treatment with Osimertinib monotherapy, a total white blood cell count of at least 3.5 × 109 /L, an absolute neutrophil count of at least 1.5 × 109 /L, a hemoglobin level of at least 9 g/dL, a platelet count of at least 100 × 109 /L, as well as AST and ALT not exceeding 2.5 times the upper normal limit (UNL), and a total bilirubin level not exceeding 2 mg/dL. All advanced-stage NSCLC patients recruited in our study had TNM stage 4. Patients who were concurrently using other anticancer agents, undergoing thoracic radiotherapy, undergoing postoperative adjuvant chemotherapy, or undergoing second-line treatment were excluded from the study.
The calculation of the sample size was derived from a prospective longitudinal observational cohort study consisting of 53 patients diagnosed with advanced NSCLC who were undergoing Osimertinib therapy27. The calculation employed the equation derived from the study conducted by Ngamjarus et al.28., as detailed in Supplementary material S1. Based on the calculation for sample size, it is recommended to have a total of 58 participants for the study. In our study, a total of 63 patients with advanced-stage NSCLC were enrolled.
Peripheral blood samples were collected from healthy controls and advanced-stage NSCLC patients who had received treatment with the standard Osimertinib regimen within one day of starting treatment.
Osimertinib treatment
Following enrollment, all patients received the standard Osimertinib regimen orally, either on an empty stomach or after a low-fat meal. The initial dose administered was 80 mg QDAC, with a reduced dose of 40 mg QDAC being prescribed in the event of level 3 ADRs or long-lasting level 2 ADRs. All patients were given a daily dose of 80 mg of Osimertinib. As of the data cutoff, the average duration of follow-up was 18 months, ranging from 10 to 30 months. It was recommended to permanently discontinue Osimertinib in patients who experienced disease progression or were unable to tolerate the reduced dose of 40 mg QDAC. It was recommended to adhere to a consistent daily schedule when taking the medication. In the event that a patient inadvertently missed a dose, it was permissible to administer the missed dose within a 12-hour timeframe. If patients inadvertently failed to take their medication for a duration exceeding 12 h, it was permissible for them to proceed directly to the subsequent scheduled dose without attempting to compensate for the missed administration. All patients included in this study adhered to the prescribed guidelines and recommended dosage of Osimertinib monotherapy, without any concurrent administration of other medications.
Assessment of adverse drug reactions (ADRs)
ADRs were systematically evaluated by the physicians of the patients, employing the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) version 5.0, an established and universally recognized standard for the classification and grading of adverse events associated with cancer therapy29. It is worth mentioning that ADRs rated as Grade 1 or 2 on the CTCAE scale were considered to be mild or moderate ADRs, whereas those rated as Grade 3 were classified as severe ADRs. The causality assessment regarding the observed ADRs associated with Osimertinib was conducted using the Naranjo algorithm30. Information was documented as ADRs if there was categorized as possible, probable, or definite according to the probability scale outlined by the algorithm.
Quantitative real-time polymerase chain reaction (PCR)
Measurement of relative telomere length (RTL) was conducted using quantitative real-time PCR, following the methodology described in a previous study31. Genomic DNA was extracted from peripheral blood leukocytes using the QIAamp DNA Blood Mini Kit (Qiagen, CA, USA), according to the manufacturer’s protocol. PCR was conducted using the Applied Biosystems ViiA 7 eal-Time PCR System (Applied Biosystems, Massachusetts, United States) and Fast SYBE Green Master Mix (Applied Biosystems, Massachusetts, United States). The primers used for amplifying the telomere repeat copy number and the single-copy gene copy number were as follows: telomere forward primer 5′-CGGTTTGTTTGGGTTTGGGTTTGGGTTTGGGTTTGGGTT-3′, telomere reverse primer 5′-GGCTTGCCTTACCCTTACCCTTACCCTTACCCTTACCCT-3′, single-copy gene forward primer 5′-CAGCAAGTGGGAAGGTGTAATCC-3′, and single-copy gene reverse primer 5′-CCCATTCTATCATCAACGGGTACAA-3′. RTL was determined by calculating the ratio of telomere repeat copy number (T) to single-copy gene copy number (S) in each sample. Telomere repeat and single-copy gene quantities were normalized to a reference DNA sample in each sample.
Statistical analysis
The comparison of normally distributed continuous variables was conducted using Student’s t-test for two groups and ANOVA for more than two groups, followed by a Tukey post hoc test. On the other hand, the comparison of abnormally distributed continuous variables was performed using the Mann-Whitney U test for two groups and the Kruskal-Wallis H test for more than two groups. The chi-square test was employed to assess the presence of statistically significant differences between groups based on categorical variables. Spearman’s Rho correlation was executed to determine the possible correlation between RTL and the severity of Osimertinib-induced ADRs. Receiver Operating Characteristic (ROC) curve was generated to assess the diagnostic utility of blood leukocytes RTL as a potential biomarker for severe ADRs in patients with NSCLC. This analysis provided values for the Area Under the ROC Curve (AUC), sensitivity, and specificity. The data are presented as mean ± standard deviation (SD). To conduct a more comprehensive evaluation of the potential use of blood leukocytes RTL as a prognostic marker for the occurrence of ADRs induced by Osimertinib, Kaplan-Meier curves were generated for all patients categorized as having either shorter or longer RTL, based on the median distribution of RTL in healthy controls. Continuous data are represented as median ± interquartile range (Q1, Q3), while categorical data are represented as both the number and the corresponding percentage. A P-value below 0.05 was deemed statistically significant for all analyses. All statistical analyses were conducted using SPSS Statistics version 26.0 (SPSS Inc., Chicago, IL, US) and GraphPad Prism version 9.0 (GraphPad Software, Inc., CA, US).
Results
Demographic and clinical characteristics of study participants
A total of 63 patients with advanced-stage NSCLC and 62 healthy controls were included in this study. There were no significant differences observed in median age, gender ratio, and median body mass index (BMI) between patients with advanced-stage NSCLC and healthy controls [median age: 68.00 (60.00, 73.00) vs. 65.00 (58.75, 72.00), P = 0.282; gender ratio: 43 (68.25%)/20 (31.75%) vs. 41 (66.13%) / 21 (33.87%), P = 0.850; median BMI: 21.73 (19.60, 23.83) vs. 22.37 (20.43, 24.47), P = 0.139; respectively]. Based on severity of ADRs, patients with advanced-stage NSCLC were divided into three groups: the patients without ADRs, those with mild/moderate ADRs, and those with severe ADRs. Demographic and clinical characteristics of advanced-stage NSCLC patients with different types of ADRs are summarized in Table 1. No statistically significant differences in median age, gender ratio, median BMI, smoking status, types of EGFR mutations (exon 19 deletion, exon 20 insertion, and G719X), T790M mutation, eastern cooperative oncology group performance status (ECOG PS), and cerebral metastasis status among the patients with different types of ADRs were observed. However, it is worth noting that there was a statistically significant disparity in the frequency of exon 21 L858R point mutation in EGFR observed among the patients with different types of ADRs (P = 0.014).
Table 1.
Baseline and clinical characteristics of patients with advanced-stage NSCLC.
| Variables | Patients with advanced-stage NSCLC | P-values | ||
|---|---|---|---|---|
| No ADRs | Mild/moderate ADRs | Severe ADRs | ||
| Number | 6 (9.52%) | 27 (42.86%) | 30 (47.62) | N/A |
| Age (years) | 69.50 (59.75, 74.50) | 68.00 (60.00, 72.00) | 68.50 (60.00, 75.00) | 0.899 |
| Gender [no. (%)] | ||||
| Female | 2 (33.33%) | 20 (74.07%) | 21 (70.00%) | 0.147 |
| Male | 4 (66.67%) | 7 (25.93%) | 9 (30.00%) | |
| BMI (kg/m2) | 22.04 (17.73, 25.12) | 20.81 (19.27, 23.78) | 21.76 (20.11, 24.23) | |
| Smoking status [no. (%)] | ||||
| Never | 3 (50.00%) | 24 (88.89%) | 24 (80.00%) | 0.89 |
| Ever | 3 (50.00%) | 3 (11.11%) | 6 (20.00%) | |
| EGFR mutation [no. (%)] | ||||
| Exon 19 deletion | ||||
| Positive | 6 (100.00%) | 25 (92.59%) | 30 (100.00%) | 0.363 |
| Negative | 0 (0.00%) | 2 (7.41%) | 0 (0.00%) | |
| Exon 20 insertion | ||||
| Positive | 5 (83.33%) | 17 (62.96%) | 22 (73.33%) | 0.659 |
| Negative | 1 (16.67%) | 10 (37.04%) | 8 (26.67%) | |
| Exon 21 L858R | ||||
| Positive | 0 (0.00%) | 4 (14.81%) | 13 (43.33%) | 0.014 |
| Negative | 6 (100.00%) | 23 (85.19%) | 17 (56.67%) | |
| G719X | ||||
| Positive | 1 (16.67%) | 11 (40.74%) | 9 (30.00%) | 0.424 |
| Negative | 5 (83.33%) | 16 (59.26%) | 21 (70.00%) | |
| T790M mutation [no. (%)] | ||||
| Positive | 6 (100.00%) | 27 (100.00%) | 29 (96.67%) | 1.000 |
| Negative | 0 (0.00%) | 0 (0.00%) | 1 (3.33%) | |
| ECOG PS [no. (%)] | ||||
| 0 | 2 (33.33%) | 9 (33.33%) | 11 (36.67%) | 0.782 |
| 1 | 2 (33.33%) | 14 (51.85%) | 14 (46.67%) | |
| 2 | 2 (33.33%) | 3 (11.11%) | 5 (16.67%) | |
| 3 or 4 | 0 (0.00%) | 1 (3.70%) | 0 (0.00%) | |
| Cerebral metastasis [no. (%)] | ||||
| No | 6 (100.00%) | 24 (88.89%) | 23 (76.67%) | 0.228 |
| Yes | 0 (0.00%) | 3 (11.11%) | 7 (23.33%) | |
ADRs adverse drug reactions, BMI body mass index, ECOG PS Eastern cooperative oncology group performance status, N/A not available, NSCLC non-small cell lung cancer.
P-value marked with bold indicates a statistically significant difference among advanced-stage NSCLC patients with different types of ADRs induced by Osimertinib.
Continuous data are represented as median ± interquartile range (Q1, Q3), while categorical data are represented as both the number and the corresponding percentage.
Overall efficacy of Osimertinib treatment
The median progression free survival was 18 months, with a range of 0–62 months. Out of 57 patients with advanced-stage NSCLC, the majority, 42 (73.68%), continued their treatment with Osimertinib, while 15 (26.32%) stopped taking Osimertinib due to disease progression, as displayed in Fig. 1.
Fig. 1.
Kaplan–Meier curve for a progression free survival of Osimertinib treatment in advanced-stage NSCLC patients.
ADRs induced by Osimertinib
As shown in Table 2, the most common prevalent ADRs were observed in the skin (acne, 47.37%) and digestive system (diarrhea, 31.58%), followed by QTc prolongation (24.56%), eye-related ADRs (21.05%), blood-related ADRs (thrombocytopenia, 19.30%), and mucositis (12.28%). In terms of the severity of ADRs, advanced-stage NSCLC patients were classified into 2 groups: those with mild/moderate ADRs (grade 1, n = 17; grade 2, n = 10) and those with severe ADRs (grade 3, n = 30).
Table 2.
Osimertinib-related ADRs in various systems of advanced-stage NSCLC patients.
| Variables | Severity of ADRs | |||||
|---|---|---|---|---|---|---|
| Overall (n = 57) | Mild/moderate (n = 27) | Severe (n = 30) | ||||
| n | % | n | % | n | % | |
| Severity grading | ||||||
| 1 | 17 | 29.83 | 17 | 62.96 | 0 | 0.000 |
| 2 | 10 | 17.54 | 10 | 37.04 | 0 | 0.00 |
| 3 | 30 | 52.63 | 0 | 0.00 | 30 | 100.00 |
| Skin | ||||||
| Dry skin | 21 | 36.84 | 13 | 48.15 | 8 | 26.67 |
| Alopecia | 4 | 7.02 | 1 | 3.70 | 3 | 10.00 |
| Acne | 27 | 47.37 | 15 | 55.56 | 12 | 40.00 |
| Urticaria | 7 | 12.28 | 3 | 11.11 | 4 | 13.33 |
| Bullous | 2 | 3.51 | 1 | 3.70 | 1 | 3.33 |
| Papule | 2 | 3.51 | 0 | 0.00 | 2 | 6.67 |
| Paronychia | 8 | 14.04 | 5 | 18.52 | 3 | 10.00 |
| Digestive | ||||||
| Nausea | 1 | 1.75 | 0 | 0.00 | 1 | 3.33 |
| Anorexia | 1 | 1.75 | 0 | 0.00 | 1 | 3.33 |
| Diarrhea | 18 | 31.58 | 9 | 33.33 | 9 | 30.00 |
| Liver | ||||||
| Transaminitis | 5 | 8.77 | 2 | 7.41 | 3 | 10.00 |
| Blood | ||||||
| Anemia | 5 | 8.77 | 0 | 0.00 | 5 | 16.67 |
| Neutropenia | 5 | 8.77 | 0 | 0.00 | 5 | 16.67 |
| Thrombocytopenia | 11 | 19.30 | 0 | 0.00 | 11 | 36.67 |
| Dry eye | 12 | 21.05 | 6 | 22.22 | 6 | 20.00 |
| Mucositis | 7 | 12.28 | 2 | 7.41 | 5 | 16.67 |
| Myalgia | 3 | 5.26 | 1 | 3.70 | 2 | 6.67 |
| Myositis | 2 | 3.51 | 1 | 3.70 | 1 | 3.33 |
| Prolonged QTc intervals | 14 | 24.56 | 2 | 7.41 | 12 | 40.00 |
ADRs adverse drug reactions, NSCLC non-small cell lung cancer.
In the patients with mild/moderate ADRs, the main manifestation of skin ADRs were acne (55.56%), dry skin (48.15%), paronychia (18.52%), urticaria (11.11%), alopecia (3.70%), and bullous (3.70%). Diarrhea was the most common type of ADRs in the digestive system, constituting 33.33% of advanced-stage NSCLC patients with mild/moderate ADRs. The most prevalent ADR related to the eyes was dry eye, accounting for 22.22% of cases. Liver-related ADRs included transaminitis, which was observed in 7.41% of cases. Additionally, the patients with mild/moderate ADRs exhibited clinical symptoms including mucositis (7.41%), QTc prolongation (7.41%), myalgia (3.70%), and myositis (3.70%).
Severe ADRs were observed in 30 advanced-stage NSCLC patients. These reactions specifically affected the skin system, with the following frequencies: acne (40.00%), dry skin (26.67%), urticaria (13.33%), alopecia (10.00%), papule (6.67%), and bullous (3.33%). The most prevalent ADR observed was QTc prolongation, which accounted for 40.00% of reported cases. Among patients with advanced-stage NSCLC experiencing severe ADRs in the digestive system, diarrhea was found to be the most commonly reported symptom, accounting for 30.00% of the observed cases. Nausea and anorexia were found to be the subsequent most common ADRs, each occurring in 3.33% of patients. Thrombocytopenia was the most common type of blood-related ADRs, constituting 36.67% of advanced-stage NSCLC patients with severe ADRs, followed by anemia (16.67%) and neutropenia (16.67%). In addition to this, the patients with severe ADRs clinically manifested mucositis (16.67), transaminitis (10.00%), myalgia (6.67), and myositis (3.33%).
Blood leukocytes RTL in healthy controls and patients with advanced-stage NSCLC
Blood leukocytes RTL were initially compared among advanced-stage NSCLC patients with and without ADRs, as well as unaffected control individuals. Blood leukocytes RTL were observed to be significantly shorter in patients with advanced-stage NSCLC than that in healthy controls [3.94 (1.52, 8.79) vs. 10.07 (6.74, 17.60), P < 0.0001] (Fig. 2A). In stratified analysis based on severity of ADRs caused by Osimertinib, it was found that patients with advanced-stage NSCLC who experienced severe ADRs exhibited significantly shorter blood leukocytes RTL than those with mild/moderate ADRs [1.52 (1.12, 2.91) vs. 5.55 (4.14, 9.96), P < 0.0001] (Fig. 2B). Consistent with this, the patients with severe ADRs had a significant reduction in blood leukocytes RTL compared to those without ADRs [1.52 (1.12, 2.91) vs. 35.61 (26.01, 46.43), P < 0.0001] (Fig. 2B). In addition, there was a statistically significant disparity observed in blood leukocytes RLT between the patients experiencing mild/moderate ADRs and those without ADRs [5.55 (4.14, 9.96) vs. 35.61 (26.01, 46.43), P < 0.0001] (Fig. 2B).
Fig. 2.
RTL in blood leukocytes of healthy controls and advanced-stage NSCLC patients with and without ADRs induced by Osimertinib. (A) Comparison in blood leukocytes RTL between healthy controls and patients with advanced-stage NSCLC. (B) Comparison in blood leukocytes RTL among the patients with different types of Osimertinib-induced ADRs. ****P < 0.0001.
To further determine the possible correlation between blood leukocytes RTL and severity of Osimertinib-induced ADRs, Spearman’s Rho correlation analysis was executed. The analysis uncovered that blood leukocytes RTL were negatively correlated with the severity of Osimertinib-induced ADRs in advanced-stage NSCLC patients (r = − 0.82, P < 0.0001).
Diagnostic value of blood leukocytes RTL as a biomarker of Osimertinib-induced ADRs
To assess the potential utility of blood leukocytes RTL as a biomarker for identifying development of Osimertinib-induced severe ADRs in patients with advanced-stage NSCLC, the AUC was calculated. ROC curve analysis uncovered that the optimal cutoff value of blood leukocytes RTL as a biomarker for patients with advanced-stage NSCLC who experienced ADRs induced by Osimertinib from those patients without ADRs was defined at 22.090, which yielded a sensitivity of 100.0%, a specificity of 100.0%, and an AUC of 1.00 (95% CI 1.00–1.00; P < 0.0001) (Fig. 3A). For discriminating patients with advanced-stage NSCLC who experienced severe ADRs induced by Osimertinib from those patients with mild/moderate ADRs, blood leukocytes RTL of 3.055 provided a sensitivity of 100.0%, a specificity of 80.0%, and an AUC of 0.932 (95% CI 0.86–1.00; P < 0.0001) (Fig. 3B).
Fig. 3.
ROC analysis of blood leukocytes RTL as a diagnostic biomarker of Osimertinib-induced ADRs in patients with advanced-stage NSCLC. (A) Blood leukocytes RTL as a biomarker for discriminating patients with advanced-stage NSCLC who experienced Osimertinib-induced ADRs from those without ADRs. (B) Blood leukocytes RTL as a biomarker for distinguishing patients with advanced-stage NSCLC who experienced Osimertinib-induced severe ADRs from those with mild/moderate ADRs.
Association between blood leukocytes RTL and a cumulative incidence of Osimertinib-induced ADRs
Given shorter RTL as an independent determinant of Osimertinib-induced ADRs, the effect of shorter RTL on a cumulative incidence of ADRs occurrence in patients with advanced-stage NSCLC was additionally determined. The Kaplan-Meier analysis revealed a statistically significant increase in cumulative incidence of ADRs induced by Osimertinib in patients with advanced-stage NSCLC who had shorter RTL compared to those with longer RTL (log-rank: Chi-square = 12.33, P < 0.001) (Fig. 4A). Furthermore, NSCLC patients with shorter RTL exhibited a higher cumulative incidence of severe ADRs induced by Osimertinib compared to those with longer RTL. However, it is important to note that this difference did not reach statistical significance (log-rank: Chi-square = 3.44, P = 0.064) (Fig. 4B).
Fig. 4.
Kaplan–Meier curve of blood leukocytes RTL as prognostic biomarker of Osimertinib-induced ADRs in patients with advanced-stage NSCLC. (A) A significant association between shorter RLT in blood leukocytes and increased cumulative rate of Osimertinib-induced ADRs. (B) No association between shorter RLT in blood leukocytes and increased cumulative rate of Osimertinib-induced severe ADRs.
Discussion
It has been well-recognized that ADRs are a major public health concern, thereby emphasizing the importance of early detection for both drug development and patient safety. In tumor treatment, biomarkers have been extensively utilized to enable precise and reliable prediction of therapeutic effectiveness and safety throughout antitumor therapy. This allows oncologists to promptly adjust the treatment plan in order to provide the most optimal therapy for their patients32. This study evaluated the relationship between blood leukocytes RTL and ADRs caused by Osimertinib in patients with advanced-stage NSCLC and observed that shorter RTL was associated with increased likelihood of ADRs. Our subsequent analysis confirmed the aforementioned finding by demonstrating that patients with advanced-stage NSCLC who had shorter RTL experienced a significantly higher cumulative incidence of ADRs after receiving Osimertinib. From our above-mentioned findings, it has been hypothesized that telomere shortening might be implicated in the developmental and progressive ADRs induced by Osimertinib in patients with advanced-stage NSCLC, predominantly those patients with severe ADRs.
Although there is no clear link between changes in blood leukocytes RTL and ADRs caused by antitumor therapy, numerous published studies have provided evidence of alterations in blood leukocytes RTL in ADR induced by anti-tuberculosis drug including DILI25,26. In the realm of multifactorial diseases, several clinical studies have uncovered connections between shorter RTL and reduced lung function, as well as an increased risk of chronic obstructive pulmonary disease33,34. Apart from determination on RTL in chronic inflammatory lung disease, our previous research has demonstrated a consistent reduction in RTL in patients with chronic liver disease like biliary atresia (BA), particularly those with advanced-stage35. In terms of lung cancer, there is growing evidence revealing a strong association between telomere shortening and an increased risk of cancer development36,37. The foregoing findings are all comparable with our own research and offer additional evidence to support the notion that RTL in blood leukocytes could serve as a reliable biomarker for monitoring the occurrence of Osimertinib-induced ADRs in patients with advanced-stage NSCLC. In support of this speculation, our additional findings obtained from ROC curve analysis revealed that blood leukocytes RTL could be used as a sensitive, specific biomarker for identifying Osimertinib-induced ADRs. Concurrently, this study also examined the effect of shorter RTL on cumulative incidence of Osimertinib-induced ADRs. The findings revealed a strong association between shorter RTL and an increased likelihood of Osimertinib-induced ADRs in patients with advanced-stage NSCLC. Our findings collectively provide insight into the potential utilization of blood leukocytes RTL as a diagnostic biomarker for the occurrence of Osimertinib-induced ADRs in patients with advanced-stage NSCLC.
Although the precise mechanisms underlying the relationship between shorter RTL and an increased incidence of Osimertinib-induced ADRs remain undefined, one possible explanation for shorter RTL in blood leukocytes of patients with advanced-stage NSCLC, especially those with severe ADRs due to Osimertinib, might be attributed to dysfunction of immune cells, leading to oxidative DNA damage by reactive oxygen species (ROS) and ultimately to shortened RTL in blood leukocytes. This assumption has been substantiated by previous studies showing that drug resistance could also arise from an enhanced translocation of the telomerase hTERT (telomerase reverse transcriptase) subunit to mitochondria, or the translocation of another telomerase-associated factor, telomerase-associated protein 1 (TEP1), to vaults. It has been reported that mitochondrial enrichment with hTERT potentially influences ROS production38,39. To substantiate this, there exists a substantial body of documentation denoting a direct link between high levels of ROS and shortened telomeres in blood leukocytes40–42. Based on these perspectives, it is conceivable that patients with advanced-stage NSCLC who possessed shortened telomeres might be more susceptible to accumulative production of ROS, and thus at an increased likelihood of experiencing ADRs induced by Osimertinib, especially those of severe ADRs. Considering a notable reduction in blood leukocytes RTL in patients with advanced-stage NSCLC compared to healthy controls, it is worth contemplating the potential explanation that shorter telomeres observed in blood leukocytes of advanced-stage NSCLC patients could be due to the impairment of immune cell function, which possibly accelerates the process of immune senescence43–45. Based on the available evidence, it is reasonable to infer that NSCLC patients with shorter RLT might be more prone to premature immune senescence, potentially increasing their vulnerability to lung cancer. However, future studies are necessary to elucidate the mechanism through which telomere shortening contributes to the increased susceptibility of Osimertinib-induced ADRs and advanced-stage NSCLC.
Notwithstanding the findings presented in this study, it is important to acknowledge certain inherent limitations that should be duly considered. One limitation is the unavailability of RTL measurement in tissue-specific cancerous cells from advanced-stage NSCLC patients with and without Osimertinib-induced ADRs. Nevertheless, there exist published data that provide evidence of substantial changes in blood leukocytes RTL content among patients with lung cancer34,35. These findings lend support to the notion that alterations in blood leukocytes RTL might serve as an indicator of the occurrence of NSCLS and Osimertinib-induced ADRs. One additional concern pertains to the insufficient availability of data regarding the co-occurrence of other medical conditions with ADRs induced by Osimertinib, as well as the immune-metabolic profile in blood leukocytes. It becomes challenging to accurately interpret our findings regarding the independent association between shorter RTL and an increased risk of Osimertinib-induced ADRs in patients with advanced-stage NSCLC. Furthermore, given that our primary study was to measure RTL in blood leukocytes of advanced-stage NSCLC patients who exclusively received Osimertinib, it becomes challenging to generalize our findings to other TKIs. Besides this, the present study had limitations in terms of comparing blood leukocytes RTL between advanced-stage NSCLC patients with and without Osimertinib therapy. Furthermore, it should be noted that this study is of a cross-sectional design and has a limited sample size. For this reason, it is not feasible to draw definitive conclusions regarding the causal relationship between blood leukocytes RTL and Osimertinib-induced ADRs in patients with advanced-stage NSCLC. Besides this, considering the impracticality of incorporating new samples or external data for the validation of our findings, a limited sample size might introduce sampling error, which could ultimately result in inaccuracies or distortions in the research outcomes. It is crucial to emphasize that the results of this study need to be confirmed with a larger sample size. As individuals age, telomeres naturally undergo a process of shortening. In this study, both the clinical patient group and the healthy control group comprised individuals who were approximately 69 years old, at which point telomere length would typically be relatively short. Consequently, the diagnostic indicator value of RTL for ADRs caused by Osimertinib in NSCLC might not accurately represent the situation across various age groups. It is important to consider whether studying populations from different age groups should be done to ensure the broad applicability of these findings. It is important to note that enhancing the reliability of our conclusions could be achieved by incorporating data from other databases such as the Cancer Genome Atlas (TCGA) or Gene Expression Omnibus (GEO). Without data on the baseline RTL in blood leukocytes for each patient, it becomes challenging to make a direct comparison of the RTL in blood leukocytes before and after receiving Osimertinib treatment. Considering the intricate and diverse nature of ADRs, it would be beneficial to evaluate RTL in conjunction with other plasma-based biomarkers and relevant clinical indicators. This approach could lead to the development of a comprehensive predictive biomarker, enhancing the accuracy and practicality of assessing ADRs.
This study is the first to provide evidence that RTL in blood leukocytes of patients with advanced-stage NSCLC was significantly shorter than that of healthy controls. In comparison to those patients without Osimertinib-induced ADRs, patients with advanced-stage NSCLC who experienced Osimertinib-induced ADRs exhibited a significant decrease in RTL, particularly those with severe ADRs. Further analysis of ROC curve uncovered a diagnostic value of blood leukocytes RTL as a possible biomarker for monitoring the occurrence of ADRs caused by Osimertinib. More specifically, shorter RTL was shown to be significantly associated with an increased cumulative incidence of Osimertinib-induced ADRs. Based on our research findings, it appears that blood leukocytes RTL could serve as a potentially valuable biomarker for Osimertinib-induced ADRs in patients with advanced-stage NSCLC. To verify our results presented herein, it is imperative to conduct a prospective cohort study with larger sample sizes.
Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Author contributions
W.U. designed the research; N.T., T.R., J.M., T.M., W.S., J.J., and W.U. performed the research; J.M., T.M., J.J., and W.U. analyzed the data; N.T., T.R., C.S., J.J., and W.U. contributed new reagents/analytical tools; N.T., J.M., T.M., J.J., and W.U. wrote the manuscript. W.U. reviewed and revised the manuscript; All authors approved the final version of the manuscript.
Funding
This research project has been funded by Mahidol University [Fundamental Fund: fiscal year 2024 by National Science Research and Innovation Fund (NSRF)].
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request. Some data may not be made available because of privacy or ethical restrictions.
Declarations
Competing interests
The authors declare no competing interests.
Ethics statement
This study was endorsed by the Ethical Committee on Human Research of the Faculty of Dentistry/Faculty of Pharmacy, Mahidol University. This study follows the principles of the Declaration of Helsinki. All patients who participated in this study provided informed consent.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Shepherd, F. A. et al. Erlotinib in previously treated non-small-cell lung cancer. N Engl. J. Med.353, 123–132 (2005). [DOI] [PubMed] [Google Scholar]
- 2.Thatcher, N. et al. Gefitinib plus best supportive care in previously treated patients with refractory advanced non-small-cell lung cancer: results from a randomised, placebo-controlled, multicentre study (Iressa Survival Evaluation in Lung Cancer). Lancet. 366, 1527–1537 (2005). [DOI] [PubMed] [Google Scholar]
- 3.Camidge, D. R., Pao, W. & Sequist, L. V. Acquired resistance to TKIs in solid tumours: learning from lung cancer. Nat. Rev. Clin. Oncol.11, 473–481 (2014). [DOI] [PubMed] [Google Scholar]
- 4.Research, C. & for DE. FDA approves osimertinib as adjuvant therapy for non-small cell lung cancer with EGFR mutations. FDA. https://www.fda.gov/drugs/drug-approvals-and-databases/fdaapproves-osimertinib-adjuvant-therapy-non-small-cell-lung-cancer-egfr-mutations Accessed 2021 Jan 28 (2020).
- 5.Mok, T. S. et al. Osimertinib or platinum-pemetrexed in EGFR T790M-positive lung cancer. N Engl. J. Med.376, 629–640 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ohe, Y. et al. Osimertinib versus standard-of-care EGFR-TKI as first-line treatment for EGFRm advanced NSCLC: FLAURA Japanese subset. Jpn J. Clin. Oncol.49, 29–36 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Häntschel, M. et al. Life-threatening pneumonitis after first-line treatment with osimertinib for primary T790M mutated non-small cell lung cancer. Thorac. Cancer. 11, 2044–2047 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Patton, K. & Borshoff, D. C. Adverse drug reactions. Anaesthesia. 73, 76–84 (2018). [DOI] [PubMed] [Google Scholar]
- 9.Blackburn, E. H. Telomere states and cell fates. Nature. 408, 53–56 (2000). [DOI] [PubMed] [Google Scholar]
- 10.Wong, J. Y. et al. Phenotypic and genetically predicted leucocyte telomere length and lung cancer risk in the prospective UK Biobank. Thorax. 79 (3), 274–278 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kuszel, L. et al. Sex-specific differences in telomere length of patients with primary knee osteoarthritis. J. Cell. Mol. Med.28, e18107 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Maximov, V. N. et al. The relationship between the relative length of leukocyte telomeres and mtDNA copy number and acute coronary syndrome in a 15-year follow-up. Adv. Gerontol.36, 748–755 (2023). [PubMed] [Google Scholar]
- 13.Zhu, Y. et al. Genetically determined telomere length and its association with chronic obstructive pulmonary disease and interstitial lung disease in biobank Japan: A Mendelian randomization study. Heliyon. 10, e23415 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lv, K. et al. Leukocyte telomere length and the risk of prostate cancer and benign prostatic hyperplasia: Insights from UK Biobank and Mendelian randomization study. J. Gerontol. Biol. Sci. Med. Sci.79, glad272 (2024). [DOI] [PubMed] [Google Scholar]
- 15.Wang, D. et al. Leukocyte telomere length and sarcopenia-related traits: A bidirectional Mendelian randomization study. PLoS One. 19, e0296063 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Doyle, T. J. et al. Short peripheral blood leukocyte telomere length in rheumatoid arthritis-interstitial lung disease. Thorax. 79, 182–185 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Volders, E. L. D. et al. Change in telomere length and cardiovascular risk factors in testicular cancer survivors. Urol. Oncol.42, e1–24e8 (2024). [DOI] [PubMed] [Google Scholar]
- 18.Carvalho, V. S., Gomes, W. R. & Calado, R. T. Recent advances in understanding telomere diseases. Fac. Rev.11, 31 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Xue, Y. Shortened telomere length in peripheral blood leukocytes of patients with lung cancer, chronic obstructive pulmonary disease in a high indoor air pollution region in China. Mutat. Res. Genet. Toxicol. Environ. Mutagen.503250, 858–860 (2020). [DOI] [PubMed] [Google Scholar]
- 20.Sanchez-Espiridion, B. et al. Telomere length in peripheral blood leukocytes and lung cancer risk: a large case-control study in Caucasians. Cancer Res.74, 2476–2486 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Blackburn, E. H., Epel, E. S. & Lin, J. Human telomere biology: A contributory and interactive factor in aging, disease risks, and protection. Science. 350, 1193–1198 (2015). [DOI] [PubMed] [Google Scholar]
- 22.Calado, R. T. & Young, N. S. Telomere diseases. N Engl. J. Med.361, 2353–2365 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Weischer, M., Bojesen, S. E. & Nordestgaard, B. G. Telomere shortening unrelated to smoking, body weight, physical activity, and alcohol intake: 4576 general population individuals with repeat measurements 10 years apart. PLoS Genet.10, e1004191 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Rode, L., Nordestgaard, B. G. & Bojesen, S. E. Peripheral blood leukocyte telomere length and mortality among 64,637 individuals from the general population. J. Natl. Cancer Inst.107, djv074 (2015). [DOI] [PubMed] [Google Scholar]
- 25.Udomsinprasert, W. et al. Leukocyte telomere length as a diagnostic biomarker for anti-tuberculosis drug-induced liver injury. Sci. Rep.10, 5628 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Chen, X. et al. Relationship between common telomere length-related genetic variations, telomere length, and risk of antituberculosis drug-induced hepatotoxicity in Chinese Han population: As assessed for causality using the updated Roussel Uclaf Causality Assessment Method. Fundam Clin. Pharmacol.37, 858–867 (2023). [DOI] [PubMed] [Google Scholar]
- 27.Ishikawa, E. et al. Population Pharmacokinetics, pharmacogenomics, and adverse events of Osimertinib and its two active metabolites, AZ5104 and AZ7550, in Japanese patients with advanced non-small cell lung cancer: a prospective observational study. Invest. New. Drugs. 41, 122–133 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ngamjarus, C., Chongsuvivatwong, V. & McNeil, E. n4Studies: Sample size calculation for an epidemiological study on a smart device. SMJ. 68, 160–170 (2016). [Google Scholar]
- 29.Common Terminology Criteria for Adverse Events (CTCAE) Version 5 [Internet] & National Institutes of Health, National Cancer Institute(US). US Department of Health and Human Services,. [Cited October 26, 2023]. https://ctep.cancer.gov/protocoldevelopment/electronic_applications/docs/ctcae_v5_quick_reference_5x7.pdf (2017).
- 30.Naranjo, C. A. et al. A method for estimating the probability of adverse drug reactions. Clin. Pharacol Ther.30, 239–245 (1981). [DOI] [PubMed] [Google Scholar]
- 31.Cawthon, R. M. Telomere measurement by quantitative PCR. Nucleic Acids Res.30, e47 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Carr, D. F. & Pirmohamed, M. Biomarkers of adverse drug reactions. Exp. Biol. Med. (Maywood). 243, 291–299 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Savale, L. et al. Shortened telomeres in circulating leukocytes of patients with chronic obstructive pulmonary disease. Am. J. Respir Crit. Care Med.179, 566–571 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rode, L. et al. Short telomere length, lung function and chronic obstructive pulmonary disease in 46,396 individuals. Thorax. 68, 429–435 (2013). [DOI] [PubMed] [Google Scholar]
- 35.Udomsinprasert, W. et al. Telomere length in peripheral blood leukocytes is associated with severity of biliary atresia. PLoS One. 10, e0134689 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wu, X. et al. Telomere dysfunction: a potential cancer predisposition factor. J. Natl. Cancer Inst.95, 1211–1218 (2003). [DOI] [PubMed] [Google Scholar]
- 37.Jang, J. S. et al. Telomere length and the risk of lung cancer. Cancer Sci.99, 1385–1389 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Yan, J. et al. Effects of mitochondrial translocation of telomerase on drug resistance in hepatocellular carcinoma cells. J. Cancer. 6, 151–159 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Niu, R. et al. Increases in mitochondrial DNA content and 4977-bp deletion upon ATM/Chk2 checkpoint activation in HeLa cells. PLoS One. 7, e40572 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Martens, D. S. & Nawrot, T. S. Air Pollution Stress and the Aging Phenotype: The Telomere Connection. Curr. Environ. Health Rep.3, 258–269 (2016). [DOI] [PubMed] [Google Scholar]
- 41.Zhang, J. et al. Ageing and the telomere connection: An intimate relationship with inflammation. Ageing Res. Rev.25, 55–69 (2016). [DOI] [PubMed] [Google Scholar]
- 42.Zhang, X. et al. Environmental and occupational exposure to chemicals and telomere length in human studies. Occup. Environ. Med.70, 743–749 (2013). [DOI] [PubMed] [Google Scholar]
- 43.Sanders, J. L. et al. The association of cataract with leukocyte telomere length in older adults: defining a new marker of aging. J. Gerontol. Biol. Sci. Med. Sci.66, 639–645 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Knudson, M. et al. Association of immune abnormalities with telomere shortening in autosomal-dominant dyskeratosis congenita. Blood. 105, 682–688 (2005). [DOI] [PubMed] [Google Scholar]
- 45.Damjanovic, A. K. et al. Accelerated telomere erosion is associated with a declining immune function of caregivers of Alzheimer’s disease patients. J. Immunol.179, 4249–4254 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request. Some data may not be made available because of privacy or ethical restrictions.




