Mutation Analysis of Epidermal Growth Factor Receptor Gene in Non-small Cell Lung Cancer for Selection of Patients Eligible for Tyrosine Kinase Inhibitor Therapy
Catégorie d'article: Original Article
Publié en ligne: 23 janv. 2024
Pages: 1 - 9
Reçu: 03 août 2023
Accepté: 08 déc. 2023
DOI: https://doi.org/10.37029/jcas.v10i1.569
Mots clés
© 2024 Zeeshan Ansar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Lung cancer ranks as one of the leading causes of death in both men and women worldwide.[1] Lung cancer is often diagnosed at advanced stages when treatment options are limited. Pakistan is a highly populous country where lung cancer morbidity and mortality have been underreported.[2] Many lung cancer patients, especially those of Southeast Asian origin, are reported to carry sensitizing mutations in the epidermal growth factor receptor (EGFR) gene. In patients of different ethnicities, EGFR mutations have been estimated to occur between 15% and 45%.[3,4] This subgroup of non-small-cell lung cancer (NSCLC) responds to tyrosine kinase inhibitor (TKI) therapy targeting mutated EGFR molecules. After discovering an oncogenic role of EGFR mutations in lung cancer, several TKIs were approved as the first line of treatment with proven efficacy, including afatinib, dacomitinib, and erlotinib. EGFR-TKI therapy is considered a better choice for patients with an elevated risk of relapse.
Several studies have reported that in EGFR-positive cases, the partial or complete response rate and disease-free survival are between 30% and 70%, respectively.[5] However, TKI therapy will not be effective for all EGFR mutations in NSCLC cases. In the future, the repertoire of molecular markers will expand to have more possibilities for using targeted agents for NSCLC patients in advanced stages.[6] The molecular mechanisms behind lung cancer are currently the subject of more intense research. Identifying targetable genetic changes has fundamentally altered the pathological strategy for treating lung cancer, particularly NSCLC.
Pathologists today hold a dominant position in lung cancer treatment thanks to their relentless expertise. The therapy and prognosis of NSCLC have changed due to the identification of genetic alterations responsive to targeted therapies. Lung cancer can now be further subdivided into molecular subgroups, and there is a renewed focus on using targeted therapies for its management.[7,8] The discovery of new molecular targets, resistance mechanisms, and uncommon NSCLC genotypes will likely advance drug development and expand therapy options. As lung cancer treatment has become increasingly biomarker-driven and tailored medicines have emerged, clinical organizations must develop best practice guidelines for the type of molecular tests required according to target populations.
Although, in multiple clinical trials, following the discovery of EGFR-sensitizing mutations in 2004, EGFR-TKI has better performed in NSCLC patients than chemotherapy, it was in 2011 that the American Society for Clinical Oncology (ASCO) first proposed clinical testing in lung cancer patients confirmed to have mutations causing uncontrolled activation of EGFR protein.[9,10]
In the absence of a population-based cancer registry, reliable statistics on the incidence, prevalence, and mortality of lung cancer in Pakistan are not known. Previously, we have reported the distribution of EGFR mutations commonly observed in primary lung adenocarcinomas in Pakistan.[11] In this study, we explore the spectrum of EGFR variants in a large cohort of patients diagnosed with adenocarcinoma of the lung. We investigated the distribution of EGFR mutations by age and gender. The patients in this study represented all significant regions and ethnicities of Pakistan.
This study received approval from the Ethical Review Committee, The Aga Khan University, Pakistan. Participants provided informed verbal consent.
A retrospective study was performed on NSCLC biopsy specimens received for histopathological workup at the Aga Khan University Hospital. The specimens were obtained between July 2017 and December 2022. The patient’s age, gender information, and tumor features were obtained from histopathology reports, including tumor size, lymph node status, presence of recurrence or metastasis, and biopsy site. The histopathological diagnosis of lung adenocarcinoma was confirmed based on morphology and histochemical features. Immunomarker profile of the tumors consisted of makers CK7, TTF1, CK5/6, CK20, and p63. The algorithm used for histopathological diagnosis is shown in Figure 1. Appropriate controls comprising previously tested specimens positive for the immunomarker were run with each assay. In addition, a negative control was also included in every batch.

Algorithm for histopathological diagnosis. It has been adapted from Ahmed
The tumor area was marked on a hematoxylineosin slide by an experienced histopathologist, and more than 20% of the tumor content was confirmed before DNA extraction. Macro dissection was only done if tumor content was less than the desired amount. DNA extraction was accomplished by Cobas DNA sample preparation kit as per the manufacturer’s package insert (Roche Diagnostics, NJ, USA). Briefly, a section of 10μm thickness was deparaffinized with xylene from the tumor block. The tissue section was resuspended in lysis buffer with proteinase K solution, and DNA was purified by spin columns. All DNA samples were stored at −20°C for further processing. Cobas EGFR mutation test v2 was used to screen for EGFR mutations in patients’ DNA samples as recommended in the kit instructions. To screen EGFR mutations, 150 ng DNA from each patient was amplified in a Cobas z480 analyzer (Roche Diagnostics, NJ, USA).
The EGFR allele-specific multiplex PCR is intended to distinguish 43 rare and common mutations in exons 18–21 of the EGFR gene. It included point mutations, insertions, deletions, and complex mutations such as G719A/C/S, exon 19 deletion, S768I, T790M, and L858R in exons 18–21, respectively. The lower detection limit of the assay has been verified to be 5% mutant allele frequency. The results were analyzed, and mutations were documented following the latest HGVS guidelines. Table 1 lists the EGFR mutations detected by the Cobas EGFR Test according to their respective HGVS nomenclature.
Lists the epidermal growth factor receptor mutations detected by the cobas EGFR test. The list has been adapted from the cobas EGFR mutation test v2 kit insert available on
Exon | EGFR mutation group | EGFR nucleic acid sequence |
---|---|---|
Exon 18 | G719X | 2156G>C |
2155G>A | ||
2155G>T | ||
Exon 19 | E×19Del | 2240_2251del12 |
2239_2247del9 | ||
2238_2255del18 | ||
2235_2249del15 | ||
2236_2250del15 | ||
2239_2253del15 | ||
2239_2256del18 | ||
2237_2254del18 | ||
2240_2254del15 | ||
2240_2257del18 | ||
2239_2248TTAAGAGAAG>C | ||
2239_2251>C | ||
2237_2255>T | ||
2235_2255>AAT | ||
2237_2252>T | ||
2239_2258>CA | ||
2239_2256>CAA | ||
2237_2253>TTGCT | ||
2238_2252>GCA | ||
2238_2248>GC | ||
2237_2251del15 | ||
2236_2253del18 | ||
2235_2248>AATTC | ||
2235_2252>AAT | ||
2235_2251>AATTC | ||
2253_2276del24 | ||
2237_2257>TCT | ||
2238_2252del15 | ||
2233_2247del15 | ||
Exon 20 | S768I | 2303G>T |
T790M | 2369C>T | |
E×20Ins | 2307_2308ins9GCCAGCGTG | |
2319_2320insCAC | ||
2310_2311insGGT | ||
2311_2312ins9GCGTGGACA | ||
2309_2310AC>CCAGCGTGGAT | ||
Exon 21 | L858R | 2573T>G |
2573_2574TG>GT | ||
L861Q | 2582T>A |
EGFR: Epidermal growth factor receptor
Data were summarized and presented using appropriate descriptive statistics. Patients’ demographics, histopathological, and mutation data were recorded in a Microsoft Excel sheet. A Chi-square test was performed to assess differences in the proportion of EGFR mutations across age and gender as categories and where applicable, and
In this study, we analyzed tumor specimens for mutations in the EGFR gene by Cobas multiplex PCR assay. The mutations detected by the assay are shown in Table 1. Among the total samples, 466 (68.3%) were males, and 216 (31.7%) were females. In our cohort, male samples comprised two-thirds of all samples Table 2. In males, the mean age was 60.7 (range 5 years to 90 years), whereas in females, the mean age was 55.9 (range 6 years to 91 years). Adenocarcinoma of the lung was most frequently diagnosed (98.7%), as shown in Table 3; several of its histopathological subtypes included poorly differentiated, moderately differentiated, and well-differentiated adenocarcinoma. In addition, metastatic adenocarcinoma constituted 29% of the total specimens, whereas squamous cell carcinoma was positive in 1.7% of the cases. Furthermore, the source of 85.5% of the samples was lung biopsy, and 14.3% belonged to extra pulmonary sites and were metastatic in origin. The main extra pulmonary areas included the liver, brain, endometrium, rectal polyp, adrenal gland, liver, and lymph nodes.
Patients demographic and histopathological features
Variable | Characteristics | No. (%) |
---|---|---|
Gender | Male | 466 (68.3%) |
Female | 216 (31.7%) | |
Age (years) | Male | Range 5–90 Mean age (60.7) |
Female | Range 6–91 Mean age (55.9) | |
EGFR mutation status | Positive | 171 (25%) |
Negative | 511 (75%) | |
Histopathology | Adenocarcinoma | 649 (95%) |
Squamous cell carcinoma | 11 (1.6%) | |
Other (metastatic malignancy of unknown/undefined primary origin) | 22 (3.4%) |
EGFR: Epidermal growth factor receptor
EGFR mutation status by histopathological characteristics
Histopathology | EGFR mutation | Total | ||
---|---|---|---|---|
Positive | Negative | |||
Adenocarcinoma | 82 (27%) | 226 (73%) | 308 | NS |
Poorly differentiated adenocarcinoma | 14 (20%) | 53 (80%) | 67 | |
Moderately differentiated adenocarcinoma | 13 (23%) | 43 (77%) | 56 | |
Well-differentiated adenocarcinoma | 8 (42%) | 11 (58%) | 19 | |
Metastatic adenocarcinoma | 55 (27%) | 144 (73%) | 199 | |
Squamous cell carcinoma | 3 (27%) | 8 (73%) | 11 |
EGFR: Epidermal growth factor receptor
As shown in Table 4, EGFR mutations were positive in 20% of the male samples and 37% of the female patients. Analysis by the Chi-square test showed a statistical difference in the distribution of EGFR mutations between the two patient groups. However, the distribution in different subtypes of lung adenocarcinoma specimens was insignificant.
EGFR mutation status by gender and age groups
Variable | EGFR mutation | Total | ||
---|---|---|---|---|
Positive | Negative | |||
Gender | ||||
Male | 92 (20%) | 374 (80%) | 466 | |
Female | 79 (37%) | 137 (63%) | 216 | |
Age | ||||
Male≤50 years | 25 (25%) | 76 (75%) | 101 | NS |
Male>50 years | 67 (18%) | 298 (82%) | 365 | |
Female≤50 years | 15 (22%) | 54 (78%) | 69 | |
Female>50 years | 64 (44%) | 83 (56%) | 147 |
EGFR: Epidermal growth factor receptor
Table 4 shows EGFR mutation positivity in male and female patients by age group. Moreover, there was no statistical difference between males in age groups ≤50 and above 50 years, but the females in age group above 50 years accounted for a higher number of mutation-positive patients and were statistically significant. Of 682 samples, 171 (25%) were positive for EGFR mutations. A single mutation was found in 668 (98%) patients, whereas compound heterozygous mutations were found in 14 patients. The three common mutations in these cases were del exon 19, S768I, and exon 20 ins. Furthermore, multiple mutations, including del exon 19, T790M, and exon 20 insertions, were detected in one patient with advanced adenocarcinoma. T790M was found in only two cases associated with other mutations, and the tumor was lung adenocarcinoma with metastasis.
Figure 2 illustrates the deletion of exon 19 (61%) as the most common mutation. It was followed by L858R (24.5%), exon 20 ins (7%), and S769I (3.5%), exon 18 G719X (3.5%), whereas L861Q was detected in a single sample. Statistically, there was no difference in the distribution of the above mutations between male and female groups. Besides adenocarcinoma, 11 cases diagnosed as squamous cell carcinoma underwent EGFR mutation analysis; none tested positive for mutations.

Grouping of epidermal growth factor receptor mutations in male and female lung cancer patients
Globally, more than 2.2 million lung cancer cases were reported in 2021, making it the most frequently diagnosed cancer and the leading cause of death in cancer patients. Approximately 65% of cases were reported in males, with a maleto-female ratio of 1.8 (wcrf.org/cancer-trends/lung-cancer-statistics). In 2004, Pao
Several studies have concluded that sensitizing EGFR mutations is prevalent in lung cancer patients at varying frequencies in different populations; for example, it is estimated to be around 10–15% in the North American and European populations, 19% in Africans, and about 30% in East Asians.[15,16] The frequency of EGFR mutations in our study was close to that reported in the East Asian population. Zeeshan
Most patients who tested positive for EGFR mutations (98.3%) had lung adenocarcinoma, whereas squamous cell carcinoma (SSC) was reported in 1.7% of the patients. Of the 11 squamous carcinoma patients analyzed, 3/11 (27%) were positive for EGFR mutations, contrary to Esteban
All patients in our study were tested for EGFR mutations, which include exon 19 in-frame deletions and a point mutation in exon 21 L858R. These classical mutations are linked with increased susceptibility to TKI therapy. The prevalence of exon 19 deletion in our patients was 60.8%, and it was 24.5% for L861Q. Both mutations accounted for more than 85% of the total mutations. Even though the frequency of exon 19 deletion was almost equal in both male and female patients, the prevalence of L858R was considerably higher in female patients compared to males (31.6% vs. 18.4%). Similarly, to our study, in the literature, exon 19 deletion and L858R mutations in the EGFR gene have been reported in several studies to account for approximately 90% of mutations in lung adenocarcinoma.[21] The leading rare mutations detected in our study were exon 20 insertions (7%), followed by a point mutation in exon 20 (3.4%), and the least common was L861Q, with a frequency of only 0.5%. In contrast, the overall frequency of rare mutations was 14.5%. According to Hsu, the outcome of TKI therapy in the case of relatively rare mutations has not been completely understood; it is a matter of concern from the point that between 10% and 15% of the patients reported harboring uncommon mutations.[22] For instance, in response to TKI treatment, patients with the L861Q mutation illustrated a shorter progression-free survival than patients with common mutations.[23] Notably, most lung cancer patients who acquire resistance to TKI therapy have also been shown to carry T790M, a mutation that confers resistance.[24] However, no case of T790M as a single mutation was noted in our study. It was found as a double (T790M/del exon 19) and triple mutation (T790M/del exon 19/exon 20 insertions) in two cases. Mulloy
Our study also reports double mutants, 2.1% (15/682) of the specimens. Double mutations were more common in males compared to females (12 versus 3). There is disagreement in the studies reporting the incidence of double mutations due to differences in the sensitivity of the assays used. Like our results, Wei
In our study, almost 25% of the NSCLC specimens received for EGFR mutation screening exhibited sensitizing mutations relevant to TKI therapy. The prevalence of common and rare EGFR mutations in Pakistani patients was like global statistics and provided an opportunity for a subset of patients’ chance of therapy. This study has several limitations, such as a small sample size, results from a single tertiary care center that is not a representation of the general Pakistani population target mutation analysis (hot spot mutations) and unavailability of data for any relationship between EGFR mutation analysis and TKI therapy. Future research should find more EGFR-sensitizing mutations that can be addressed by both existing and new EGFR TKIs, enhancing the prognosis for patients with EGFR-mutated NSCLC. In addition, in the future, the need for complete gene sequencing for the identification of novel pathogenic variants in our population (customized targeted panel) aiding an improved prediction of therapies has been acknowledged in the discussion.
In the present study, we identify the spectrum of EGFR mutations in Pakistani lung cancer patients and associate them with clinical and histopathological parameters. The NSCLC specimens received for EGFR mutation screening exhibited sensitizing mutations relevant to TKI therapy. The prevalence of common and rare EGFR mutations in Pakistani patients provides an opportunity for a subset of patients’ chance of therapy.