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Distribution and prognostic impact of EGFR and KRAS mutations according to histological subtype and tumor invasion status in pTis-3N0M0 lung adenocarcinoma

Abstract

Background

The prognostic impact of EGFR mutation as major targetable somatic gene variant on lung adenocarcinoma is controversial. KRAS is another major somatic variant in lung adenocarcinoma, and a therapeutic agent for KRAS G12C became available in clinical settings. These mutations represent clinicopathological features of lung adenocarcinoma and can guide the treatment choice after recurrence. We evaluated the prognostic impact of EGFR and KRAS mutations by considering other clinicopathological recurrence risks in resected pTis-3N0M0 lung adenocarcinoma.

Methods

Clinicopathological features related to recurrence and genetic status were estimated in consecutive 877 resected cases. Recurrence-free survival (RFS), cumulative recurrence rate (CRR), and overall survival (OS) were compared. Uni- and multivariate analyses for RFS were performed after excluding cases with little or no recurrence risks.

Results

EGFR mutation was more likely to be harbored in female, never-smoker, or patients accompanied by > 5% lepidic component. KRAS mutation was more likely to be harbored in patients with current/ex-smoking history, International Association for the Study of Lung Cancer (IASLC) grade 3, or accompanied lymphatic or vascular invasion. In IASLC grade 2 and 3 patients, EGFR or KRAS mutation cases had significantly worse 5-year RFS than wild type patients (76.9% vs. 85.0%, hazard ratio [HR] = 1.55, 95% confidence interval [CI] = 1.62–6.41, P < 0.001). EGFR or KRAS mutation cases had significantly higher 5-year CRR than wild type patients (17.7% vs. 9.8%, HR = 1.69, 95% CI = 1.44–6.59, P = 0.0038). KRAS mutation cases had higher 5-year CRR than EGFR mutation cases (16.7% vs. 21.4%, HR = 1.62, 95% CI = 0.96–7.19, P = 0.061). There was no significant difference in OS between cohorts. Multivariate analysis revealed that a positive EGFR/KRAS mutation status was risk factor for worse RFS (HR = 2.007, 95% CI = 1.265–3.183, P = 0.003).

Conclusion

Positive EGFR and KRAS mutation statuses were risk factors for recurrence in resected IASLC grade 2 and 3 patients. KRAS mutations were more likely to be confirmed in cases with an increased risk of recurrence. EGFR and KRAS mutation statuses should be evaluated simultaneously when assessing the risk of recurrence.

Peer Review reports

Background

Curative surgical resection is the optimal treatment for primary lung cancer without lymph nodes or distant metastasis. The risk of recurrence mainly depends on the completion of resection, tumor invasion status (tumor invasive size, pleural invasion, and lymphovascular invasion), and histological features. The prognostic impact of EGFR mutation as a cancer-driving gene has been discussed but is still controversial [1,2,3,4,5]. Namely, some previous studies have reported that the presence of an EGFR mutation is favorable or non-significance for prognosis, whereas others have concluded that a positive EGFR mutation status is a risk factor for worse prognosis based on malignant potential characterized by histological or radiological features. As well as EGFR mutation, KRAS mutation is also major targetable somatic variable in primary lung adenocarcinoma.

Since the ADAURA study revealed that post-operative osimertinib therapy prolongs disease-free survival in resected stage IB–IIIA EGFR mutation-positive patients [6], the evaluation of genetic status has gained increasing attention in resected cases. The therapeutic benefit of a KRAS inhibitor has also been reported in advanced lung cancer cases [7]. KRAS inhibitor for G12C variant has been clinically available, and studies on promising drugs targeting other KRAS mutation types are ongoing (ClinicalTrials.gov numbers: NCT05382559, NCT04853017, and NCT04678648) [8]. As a major somatic variant with a clinically available inhibitor, the impact of KRAS mutation also becomes more warranted to be revealed in surgically treated cases.

Adenocarcinoma, the most common histological type of lung cancer, consists of several subhistological variants with different malignant potentials. The prevalence or prognostic impact of targetable genetic variants also varies according to tumor invasive and subhistological type. Few study evaluated the prognositc impact of these major targetable genetic variants in consideing with non-gentic prognostic clinicopatholgical features in lung adenoacricnoma. Major targetable genetic variants can serve as prognostic factors representative of clinicopathological features and can be directly useful in treatment strategies after recurrence.

Here, we aimed to evaluate the prognostic impact of EGFR and KRAS mutations by considering the relationship between these mutations and their histological subtype and/or tumor invasion status in resected pTis-3N0M0 lung adenocarcinoma. In addition, by considering KRAS mutaion status, we also aimed furhter understanding about the prognostic impact of EGFR mutation.

Patients and methods

Study design

We retrospectively reviewed pathological Tis-3N0M0 primary lung adenocarcinoma cases resected at Hiroshima University Hospital between January 2007 and December 2019. Clinicopathological information was collected from medical records. For EGFR and KRAS mutation testing, DNA was extracted from frozen or formalin-fixed paraffin-embedded resected tissues using the QIAamp DNA FFPE Tissue Kit or QIAamp DNA Micro Kit (56404, 56304 Qiagen GmbH, Hilden, Germany). The following cases were excluded: non-primary adenocarcinoma cases; variant types of adenocarcinoma defined by the International Association for the Study of Lung Cancer (IASLC) classification [9]; cases after preoperative chemotherapy/chemoradiotherapy or palliative surgery; cases without complete clinicopathological background, available tissue samples, or any radiological follow-up after resection; cases with new lesions during follow-ups that were difficult to distinguish as second primary or recurrent tumors. pT4 cases were also excluded due to the small number of cases available. The relationship between EGFR or KRAS mutation and clinicopathological features and the prognostic impacts of these genetic statuses were investigated. Analyses regarding the prognostic impact were performed after cases with little or no risk of recurrence were excluded, as previously described [1, 2].

Evaluation of clinicopathological features

Staging was determined using the 8th IASLC TNM staging system [10], and pathological diagnosis was performed by two pathologists according to the 2021 WHO classification [11]. Pathological tumor invasion size was measured directly on resected specimens or calculated by invasive ratio on whole tumor size, as recommended [12]. The pathological grading system was determined according to the IASLC proposal [13]. Simultaneous or heterochronic multiple tumors in a single patient were determined as intrapulmonary metastases or independent tumors, as proposed by the IASLC [14, 15]. Tumors diagnosed as independent were handled as primary tumors. In patients with multiple primary tumors, if one tumor relapsed, observations of another non-relapsed tumor were censored at the time of recurrence.

EGFR and KRAS mutation detection

Twelve EGFR somatic variants (G719C/S/A in Exon 18, seven types of deletion in Exon 19, and L858R/L861Q in Exon 21) were detected by peptide nucleic acid (PNA)-locked nucleic acid (LNA) PCR clamp-based detection test or real-time PCR using an affinity probe (for G719A only, IDT, Coralville, USA), as previously described [1, 16]. Seven types of KRAS somatic mutations (G12A/C/D/R/S/V and G13D in Exon 2) were detected by droplet digital PCR using the PrimePCR for ddPCR KRAS multi screening Kit (1863506, BIO-RAD, Hercules, USA). Considering that EGFR and KRAS mutations are mutually exclusive in principle and that EGFR mutations are more common in Asians, EGFR mutations were screened first, and then the KRAS mutation status was examined in EGFR wild type cases.

Statistical analysis

To evaluate the prognostic impact of genetic status, recurrence-free survival (RFS), cumulative recurrence rate (CRR), and overall survival (OS) were calculated using the Kaplan–Meier method and compared using the log-rank test. RFS was defined from the day of operation to the day of recurrence as detected by a radiological device or of death from any cause. CRR was calculated from the day of operation to the day of recurrence as detected using a radiological device. OS was calculated from the day of operation to the day of death from any cause. The significance of frequency was evaluated using the chi-squared or Yates’s chi-squared test. Patient age and pathological invasive size were compared as continuous variables using the Mann–Whitney U test. The prognostic impact of each variable was estimated by uni- and multivariate analyses using the Cox proportional hazards model with a backward stepwise procedure. Significance was defined as a two-tailed P-value < 0.05. Statistical analyses and figure creation were performed using SPSS Version 28.0.1 (IBM Corp., Armonk, NY, USA), StatMate V (ATMS Co., Ltd., Tokyo, Japan), and SynergyFinder Version 3.0 [17].

Results

Clinicopathological features

We reviewed 947 pN0M0 cases and finally included 877 cases after excluding 70 inadequate cases. The clinicopathological features of the 877 cases are shown in Table 1. Overall, 404 (46.1%) and 98 (11.2%) patients harbored EGFR and KRAS mutations, respectively. Neither EGFR nor KRAS mutations were detected in 375 (42.8%) patients. The median follow-up term was 1373 days.

Table 1 Clinicopathological features of the 877 reviewed cases

Genetic status was significantly related to some clinicopathological features (Table 2). Notably, EGFR mutations were more likely harbored by females, never-smokers, or patients with > 5% lepidic component (Fig. 1A, B, C) and were less likely to be harbored by patients with > 5% solid component, solid predominant, or IASLC grade 3 than in wild type patients or those harboring KRAS mutations (Fig. 1D, E, F). KRAS mutations were more likely to be harbored in patients with a current/ex-smoking history, IASLC grade 3, or with lymphatic or vascular invasion than in wild type patients or those harboring EGFR mutations (Fig. 1B, F, G, H).

Table 2 Comparison of clinicopathological features according to genetic status
Fig. 1
figure 1

Comparison of prevalence of clinicopathological features according to mutation status. Results from Table 2 were visualized if there were significant differences between groups. A Female; B never-smoker; C > 5% lepidic component; D > 5% solid component; E solid predominance; F IASLC grade 3; G lymphatic invasion; H vascular invasion. **P < 0.01; *P < 0.05; N.S., not significant. Abbreviations: IASLC, International Association for the Study of Lung Cancer

Prognostic impact of histological features

Five-year RFS in adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and IASLC grade 1, grade 2, and grade 3 patients was 95.7%, 96.1%, 93.2%, 83.6%, and 68.0%, respectively (Fig. 2A). The recurrence rate in IASLC grade 1 patients was 4.8% (7/145). As previously shown [2, 18, 19], AIS, MIA, and IASLC grade 1 patients had no or little risk of recurrence after complete resection. Thus, the IASLC grading system worked properly in our cohort, and we performed analysis after excluding AIS, MIA, and IASLC grade 1 patients as previously [1, 2].

Fig. 2
figure 2

RFS, CRR, or OS curves established using the Kaplan–Meier method. A RFS curves by AIS, MIA, and IASLC histological grade. B RFS curves by genetic mutation status in IASLC grade 2 and 3 cases. C CRR curves by genetic mutation status in IASLC grade 2 and 3 cases. D OS curves by genetic mutation status in IASLC grade 2 and 3 cases. Abbreviations: AIS, adenocarcinoma in situ; CRR, cumulative recurrence rate; MIA, minimally invasive adenocarcinoma; OS, overall survival; RFS, recurrence-free survival

Impact of EGFR and KRAS mutation on RFS

In IASLC grade 2 and 3 patients, 5-year RFS in wild type patients and those harboring EGFR and KRAS mutations was 85.0%, 76.6%, and 78.6%, respectively (Fig. 2B). There was no significant difference in RFS between patients harboring EGFR and KRAS mutations (hazard ratio [HR] = 0.78, 95% confidence interval [CI] = 0.22–1.39, P = 0.209). Five-year RFS in patients harboring EGFR or KRAS mutations was 76.9%, significantly worse compared to the RFS in wild type patients (HR = 1.55, 95% CI = 1.62–6.41, P < 0.001).

Impact of EGFR and KRAS mutations on CRR

In IASLC grade 2 and 3 patients, 5-year CRR in wild type patients and those harboring EGFR and KRAS mutations was 9.8%, 16.7%, and 21.4%, respectively (Fig. 2C). In comparison to that in patients harboring EGFR mutations, 5-year CRR in patients harboring KRAS mutations was higher, but not significantly different (HR = 1.62, 95% CI = 0.96–7.19, P = 0.061). The 5-year CRR in patients harboring EGFR or KRAS mutations was 17.7%, significantly higher than in wild type patients (HR = 1.69, 95% CI = 1.44–6.59, P = 0.0038).

Impact of EGFR and KRAS mutations on OS

In IASLC grade 2 and 3 patients, 5-year OS in wild type patients and those harboring EGFR and KRAS mutations was 86.8%, and 87.1%, 88.5%, respectively (Fig. 2D). There was no significant difference between any cohorts.

Uni- and multivariate analyses for RFS

The univariate analysis showed that patient age, current/ex-smoking habits, pathological invasive size, IASLC grade 3, pleural invasion, lymphovascular invasion, intrapulmonary metastasis, and positive EGFR/KRAS mutation status were significantly related to worse RFS. The multivariate analysis revealed that patient age, pathological invasive size, pleural invasion, lymphovascular invasion, intrapulmonary metastasis, and positive EGFR/KRAS mutation status were risks for worse RFS (EGFR/KRAS mutation: HR = 2.007, 95% CI = 1.265–3.183, P = 0.003; Table 3).

Table 3 Uni- and multivariate analyses for RFS in IASLC grade 2–3 patients (N = 473)

Distribution of EGFR and KRAS mutant cases according to histological subtype and tumor invasion status

RFS was lower in cases with more advanced pathological T status or IASLC grading (Fig. 3A). The distribution of cases harboring EGFR or KRAS mutations changed according to pathological grading. The distribution of EGFR mutant cases showed peaks in the AIS, MIA, and T1a/grade 1 cases. In the grade 2 and grade 3 cases, another peak emerged in the grade 2 cases, and no peak was observed in the grade 3 cases (Fig. 3B). Whereas, KRAS mutant cases revealed distribution peaks in AIS and MIA cases as well as twin peaks in grade 2 and grade 3 cases (Fig. 3C). In comparison to EGFR mutations, cases with more advanced pathological grades were more likely to harbor KRAS mutations.

Fig. 3
figure 3

Heatmap showing the five-year RFS rate and Bliss images representing the distribution of cases harboring EGFR or KRAS mutations. A Heatmap showing the five-year RFS rate according to pathological T status or histological grade. B, C Bliss images representing the distribution of cases harboring EGFR (B) or KRAS mutations C according to pathological T status or histological grade. Abbreviations: AIS, adenocarcinoma in situ; G1, grade 1; G2, grade 2; G3, grade 3 MIA, minimally invasive adenocarcinoma; RFS, recurrence-free survival

Discussion

As a predominant cancer-driving genetic variant in lung adenocarcinoma, the prognostic impact of EGFR mutation has been discussed. Literature in early phase of the study about prognostic impact of EGFR mutation on resected cases reported that cases harboring EGFR mutations tend to be accompanied by histological lepidic regions [20, 21] and show better prognosis [3, 22, 23]. On the contrary about the prognosis, several later-coming studies suggested that the risk of recurrence varies by histological or radiological features and that a positive EGFR mutation status can be a risk for recurrence after excluding cases with no or little risk of recurrence [1, 2, 24,25,26].

Contrastingly, studies have consistently claimed that a positive KRAS mutation status is related to a poor prognosis [27,28,29,30]. Zhang et al. revealed that KRAS mutations can be frequently confirmed in never-smokers and that this type of lung cancer shows slow growth [31]. Our study also showed high distribution of KRAS mutants in AIS and MIA cases where imply slow tumor growth with good prognosis. Albeit, regarding histological features, KRAS mutations are likely to occur in cases with solid components [18, 30, 32]. The latest IASLC grading system defines cases including more than 20% of solid component as high-malignant subtypes [13], and literature suggests that solid component is a risk for recurrence after resection even if it is not the predominant component [33, 34]. In contrast, lepidic lesions disappear during tumor growth [35]. Therefore, as shown in the present study, EGFR mutations were more likely to be confirmed in cases with a lower pathological grade, and KRAS mutations tended to be positive in cases with a higher pathological grade (Fig. 3). As a result, cases harboring KRAS mutations showed higher CRR in IASLC grade 2 and 3 cases.

Literature suggests that the prognostic impact of EGFR mutations should be estimated by considering the risk of recurrence based on histological features [1, 2, 24,25,26]. Even so, we previously predicted that the mere comparison of positive and negative EGFR mutation cases can overestimate the recurrence risk of EGFR mutation-negative cases if the EGFR wild type cohort includes positive KRAS mutation cases [4]. Herein, we suggest that the unfavorable prognostic impact of positive EGFR mutation status can be more accurately assessed by knowing the KRAS mutation status.

Currently, the gene-panel test, which explores genetic variants comprehensively, is widely used in clinical settings [36]. However, comprehensive panel tests are not always used especially in resected cases where cure can be expected by complete resection. In addition, the incidence of other genetic variants is low and their impact on recurrence is less known compared to that of EGFR and KRAS mutations. Here, we showed that a positive EGFR or KRAS mutation status is a risk factor for recurrence in resected N0M0 IASLC grade 2 and 3 patients. To evaluate the recurrence risk of EGFR mutations, the KRAS mutation status should be tested simultaneously.

Our study has some limitations. First, this is a retrospective, single-institution study. Second, we utilized a genetic detection test with high sensitivity (PNA-LNA Clamp PCR for EGFR: 0.1% [16], ddPCR for KRAS: 0.2% (https://www.bio-rad.com/sites/default/files/webroot/web/pdf/lsr/literature/Bulletin_6679.pdf)); however, not all low frequwnt targetable variants were covered. E709X in Exon 18, insertions in Exon 19 or Exon 20, S768I in Exon 20, or tyrosine kinase inhibitor (TKI)-naive T790M in EGFR and somatic mutations in Exon 3 and 4 in KRAS were not evaluated. Even if they are rare variants, comprehensive testing might be preferable for achieving a better understanding of the prognostic impact of EGFR and KRAS mutations. Third, the unfavorable impacts of genetic variants may merely reflect the malignant potential of the tumor invasive status and histological features. Nevertheless, we believe that estimating targetable variants will be advantageous for stratifying cases with similar histology by onco-driver gene status and guiding treatments in adjuvant or post-recurrence cases.

Our study focused on the risk of recurrence and showed no significance in terms of OS. The ultimate aim of stratification is to identify patients with worse prognoses, leading to a longer OS. The post-recurrence prognosis of EGFR mutation patients can be prolonged by EGFR TKIs [37,38,39]. The same is probably also true in patients harboring KRAS mutations. In this era, in adjuvant settings or post-recurrence strategies, immune-checkpoint inhibitors should also be considered. Studies simultaneously focusing on the risk of recurrence as well as post-recurrence survival and OS are warranted.

Conclusion

In conclusion, the risk of recurrence differed according to the tumor invasion status and histological features. The incidence of EGFR and KRAS mutations also varied according to histological features. Positive EGFR and KRAS mutation statuses were risk factors for recurrence in resected IASLC grade 2 and 3 patients, and cases with a higher risk of recurrence were more likely to harbor KRAS mutations. CRR can be higher in cases harboring KRAS mutations than in those with EGFR mutations, and the risk of recurrence can be overestimated in EGFR mutation-negative cases if KRAS mutant cases are simply handled as EGFR wild type cases. Determining EGFR mutations as a risk factor for recurrence should be considered along with KRAS mutation testing.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AIS:

Adenocarcinoma in situ

CI:

Confidence interval

CRR:

Cumulative recurrence rate

HR:

Hazard ratio

IASLC:

International Association for the Study of Lung Cancer

OS:

Overall survival

MIA:

Minimally invasive adenocarcinoma

RFS:

Recurrence-free survival

TKI:

Tyrosine kinase inhibitor

References

  1. Ito M, Miyata Y, Kushitani K, Yoshiya T, Kai Y, Tsutani Y, et al. Increased risk of recurrence in resected EGFR-positive pN0M0 invasive lung adenocarcinoma. Thorac Cancer. 2018;9:1594–602. https://doi.org/10.1111/1759-7714.12866.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Ito M, Miyata Y, Tsutani Y, Ito H, Nakayama H, Imai K, et al. Positive EGFR mutation status is a risk of recurrence in pN0–1 lung adenocarcinoma when combined with pathological stage and histological subtype: a retrospective multi-center analysis. Lung Cancer. 2020;141:107–13. https://doi.org/10.1016/j.lungcan.2020.01.018.

    Article  PubMed  Google Scholar 

  3. Suda K, Mitsudomi T, Shintani Y, Okami J, Ito H, Ohtsuka T, et al. Clinical impacts of EGFR mutation status: analysis of 5780 surgically resected lung cancer cases. Ann Thorac Surg. 2021;111:269–76. https://doi.org/10.1016/j.athoracsur.2020.05.041.

    Article  PubMed  Google Scholar 

  4. Ito M, Miyata Y, Okada M. Prognostic impact of targetable genetic variants in resected adenocarcinoma of the lung: a narrative review and model proposal for precise evaluation. Precis Cancer Med. 2020;3:19.

    Article  Google Scholar 

  5. Saw SPL, Zhou S, Chen J, Lai G, Ang MK, Chua K, et al. Association of clinicopathologic and molecular tumor features with recurrence in resected early-stage epidermal growth factor receptor-positive non-small cell lung cancer. JAMA Netw Open. 2021;4:e2131892. https://doi.org/10.1001/jamanetworkopen.2021.31892.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Wu YL, Tsuboi M, He J, John T, Grohe C, Majem M, et al. Osimertinib in resected EGFR-mutated non–small-cell lung cancer. N Engl J Med. 2020;383:1711–23. https://doi.org/10.1056/NEJMoa2027071.

    Article  CAS  PubMed  Google Scholar 

  7. Skoulidis F, Li BT, Dy GK, Price TJ, Falchook GS, Wolf J, et al. Sotorasib for lung cancers with KRAS p.G12C mutation. N Engl J Med. 2021;384:2371–81. https://doi.org/10.1056/NEJMoa2103695.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Clinical Trial Gov. https://clinicaltrials.gov.

  9. Travis WD, Brambilla E, Noguchi M, Nicholson AG, Geisinger KR, Yatabe Y, et al. International Association for the study of lung Cancer/American thoracic Society/European respiratory Society international multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol. 2011;6:244–85. https://doi.org/10.1097/JTO.0b013e318206a221.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Goldstraw P, Chansky K, Crowley J, Rami-Porta R, Asamura H, Eberhardt WE, et al. The IASLC lung Cancer staging project: proposals for revision of the TNM stage groupings in the forthcoming (eighth) edition of the TNM classification for lung Cancer. J Thorac Oncol. 2016;11:39–51. https://doi.org/10.1016/j.jtho.2015.09.009.

    Article  PubMed  Google Scholar 

  11. WHO Classification of Tumours Editorial Board. Thoracic tumours. In: WHO Classification of Tumours. 5th ed. Lyon: nternational Agency for Research on Cancer; 2021.

    Google Scholar 

  12. Rami-Porta R, Call S, Dooms C, Obiols C, Sánchez M, Travis WD, et al. Lung cancer staging: a concise update. Eur Respir J. 2018;51:1800190. https://doi.org/10.1183/13993003.00190-2018.

    Article  PubMed  Google Scholar 

  13. Moreira AL, Ocampo PSS, Xia Y, Zhong H, Russell PA, Minami Y, et al. A grading system for invasive pulmonary adenocarcinoma: a proposal from the International Association for the study of Lung Cancer Pathology Committee. J Thorac Oncol. 2020;15:1599–610. https://doi.org/10.1016/j.jtho.2020.06.001.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Detterbeck FC, Nicholson AG, Franklin WA, Marom EM, Travis WD, Girard N, et al. The IASLC Lung Cancer Staging Project: Summary of proposals for revisions of the classification of lung cancers with multiple pulmonary sites of involvement in the forthcoming eighth edition of the TNM classification. J Thorac Oncol. 2016;11:639–50. https://doi.org/10.1016/j.jtho.2016.01.024.

    Article  PubMed  Google Scholar 

  15. Detterbeck FC, Franklin WA, Nicholson AG, Girard N, Arenberg DA, Travis WD, et al. The IASLC Lung Cancer Staging Project: background data and proposed criteria to distinguish separate primary lung cancers from metastatic foci in patients with two lung tumors in the forthcoming eighth edition of the TNM classification for lung cancer. J Thorac Oncol. 2016;11:651–65. https://doi.org/10.1016/j.jtho.2016.01.025.

    Article  PubMed  Google Scholar 

  16. Nagai Y, Miyazawa H, Huqun, Tanaka T, Udagawa K, Kato M, et al. Genetic heterogeneity of the epidermal growth factor receptor in non-small cell lung cancer cell lines revealed by a rapid and sensitive detection system, the peptide nucleic acid-locked nucleic acid PCR clamp. Cancer Res. 2005;65:7276–82. https://doi.org/10.1158/0008-5472.CAN-05-0331.

    Article  CAS  PubMed  Google Scholar 

  17. SynergyFinder. https://synergyfinder.fimm.fi/synergy/2022072018313514014/.

  18. Yoshizawa A, Sumiyoshi S, Sonobe M, Kobayashi M, Fujimoto M, Kawakami F, et al. Validation of the IASLC/ATS/ERS lung adenocarcinoma classification for prognosis and association with EGFR and KRAS gene mutations: analysis of 440 japanese patients. J Thorac Oncol. 2013;8:52–61. https://doi.org/10.1097/JTO.0b013e3182769aa8.

    Article  CAS  PubMed  Google Scholar 

  19. Ito M, Miyata Y, Kushitani K, Yoshiya T, Mimae T, Ibuki Y, et al. Prediction for prognosis of resected pT1a-1bN0M0 adenocarcinoma based on tumor size and histological status: relationship of TNM and IASLC/ATS/ERS classifications. Lung Cancer. 2014;85:270–5. https://doi.org/10.1016/j.lungcan.2014.05.014.

    Article  PubMed  Google Scholar 

  20. Sonobe M, Manabe T, Wada H, Tanaka F. Mutations in the epidermal growth factor receptor gene are linked to smoking-independent, lung adenocarcinoma. Br J Cancer. 2005;93:355–63. https://doi.org/10.1038/sj.bjc.6602707.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Blons H, Côté JF, Le Corre D, Riquet M, Fabre-Guilevin E, Laurent-Puig P, et al. Epidermal growth factor receptor mutation in lung cancer are linked to bronchioloalveolar differentiation. Am J Surg Pathol. 2006;30:1309–15. https://doi.org/10.1097/01.pas.0000213285.65907.31.

    Article  PubMed  Google Scholar 

  22. Takamochi K, Oh S, Matsunaga T, Suzuki K. Prognostic impacts of EGFR mutation status and subtype in patients with surgically resected lung adenocarcinoma. J Thorac Cardiovasc Surg. 2017;154:1768–1774e1. https://doi.org/10.1016/j.jtcvs.2017.06.062.

    Article  CAS  PubMed  Google Scholar 

  23. Izar B, Zhou H, Heist RS, Azzoli CG, Muzikansky A, Scribner EE, et al. The prognostic impact of KRAS, its codon and amino acid specific mutations, on survival in resected stage I lung adenocarcinoma. J Thorac Oncol. 2014;9:1363–9. https://doi.org/10.1097/JTO.0000000000000266.

    Article  CAS  PubMed  Google Scholar 

  24. Deng C, Zhang Y, Ma Z, Fu F, Deng L, Li Y, et al. Prognostic value of epidermal growth factor receptor gene mutation in resected lung adenocarcinoma. J Thorac Cardiovasc Surg. 2021;162:664–674e7. https://doi.org/10.1016/j.jtcvs.2020.05.099.

    Article  PubMed  Google Scholar 

  25. Hattori A, Matsunaga T, Fukui M, Takamochi K, Suzuki K. Prognosis of epidermal growth factor receptor-mutated stage I lung adenocarcinoma with radiologically solid features. Eur J Cardiothorac Surg. 2022;61:769–77. https://doi.org/10.1093/ejcts/ezab481.

    Article  PubMed  Google Scholar 

  26. Kondo Y, Ichinose J, Ninomiya H, Hashimoto K, Matsuura Y, Nakao M, et al. Combination of epidermal growth factor receptor mutation and the presence of high-grade patterns is associated with recurrence in resected stage I lung adenocarcinoma. Interact Cardiovasc Thorac Surg. 2022;35:ivac062. https://doi.org/10.1093/icvts/ivac062.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Meng D, Yuan M, Li X, Chen L, Yang J, Zhao X, et al. Prognostic value of K-RAS mutations in patients with non-small cell lung cancer: a systematic review with meta-analysis. Lung Cancer. 2013;81:1–10. https://doi.org/10.1016/j.lungcan.2013.03.019.

    Article  PubMed  Google Scholar 

  28. Ohba T, Toyokawa G, Kometani T, Nosaki K, Hirai F, Yamaguchi M, et al. Mutations of the EGFR and K-ras genes in resected stage I lung adenocarcinoma and their clinical significance. Surg Today. 2014;44:478–86. https://doi.org/10.1007/s00595-013-0589-2.

    Article  CAS  PubMed  Google Scholar 

  29. Ohba T, Toyokawa G, Osoegawa A, Hirai F, Yamaguchi M, Taguchi K, et al. Mutations of the EGFR, K-ras, EML4-ALK, and BRAF genes in resected pathological stage I lung adenocarcinoma. Surg Today. 2016;46:1091–8. https://doi.org/10.1007/s00595-015-1295-z.

    Article  CAS  PubMed  Google Scholar 

  30. Ma Z, Zhang Y, Deng C, Fu F, Deng L, Li Y, et al. The prognostic value of Kirsten rat sarcoma viral oncogene homolog mutations in resected lung adenocarcinoma differs according to clinical features. J Thorac Cardiovasc Surg. 2022;163:e73–85. https://doi.org/10.1016/j.jtcvs.2020.05.097.

    Article  PubMed  Google Scholar 

  31. Zhang T, Joubert P, Ansari-Pour N, Zhao W, Hoang PH, Lokanga R, et al. Genomic and evolutionary classification of lung cancer in never smokers. Nat Genet. 2021;53:1348–59. https://doi.org/10.1038/s41588-021-00920-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Rekhtman N, Ang DC, Riely GJ, Ladanyi M, Moreira AL. KRAS mutations are associated with solid growth pattern and tumor-infiltrating leukocytes in lung adenocarcinoma. Mod Pathol. 2013;26:1307–19. https://doi.org/10.1038/modpathol.2013.74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Matsuoka Y, Yurugi Y, Takagi Y, Wakahara M, Kubouchi Y, Sakabe T, et al. Prognostic significance of solid and micropapillary components in invasive lung adenocarcinomas measuring ≤ 3 cm. Anticancer Res. 2016;36:4923–30. https://doi.org/10.21873/anticanres.11058.

    Article  PubMed  Google Scholar 

  34. Yanagawa N, Shiono S, Abiko M, Katahira M, Osakabe M, Ogata SY. The clinical impact of solid and micropapillary patterns in resected lung adenocarcinoma. J Thorac Oncol. 2016;11:1976–83. https://doi.org/10.1016/j.jtho.2016.06.014.

    Article  PubMed  Google Scholar 

  35. Ito M, Miyata Y, Yoshiya T, Tsutani Y, Mimura T, Murakami S, et al. Second predominant subtype predicts outcomes of intermediate-malignant invasive lung adenocarcinoma†. Eur J Cardiothorac Surg. 2017;51:218–22. https://doi.org/10.1093/ejcts/ezw318.

    Article  PubMed  Google Scholar 

  36. Yatabe Y, Sunami K, Goto K, Nishio K, Aragane N, Ikeda S, et al. Multiplex gene-panel testing for lung cancer patients. Pathol Int. 2020;70:921–31. https://doi.org/10.1111/pin.13023.

    Article  PubMed  Google Scholar 

  37. Jeon JH, Kang CH, Kim HS, Seong YW, Park IK, Kim YT. Prognostic and predictive role of epidermal growth factor receptor mutation in recurrent pulmonary adenocarcinoma after curative resection. Eur J Cardiothorac Surg. 2015;47:556–62. https://doi.org/10.1093/ejcts/ezu177.

    Article  PubMed  Google Scholar 

  38. Takenaka T, Takenoyama M, Yamaguchi M, Toyozawa R, Inamasu E, Kojo M, et al. Impact of the epidermal growth factor receptor mutation status on the post-recurrence survival of patients with surgically resected non-small-cell lung cancer. Eur J Cardiothorac Surg. 2015;47:550–5. https://doi.org/10.1093/ejcts/ezu227.

    Article  PubMed  Google Scholar 

  39. Ito M, Miyata Y, Hirano S, Kimura S, Irisuna F, Ikeda K, et al. Synchronicity of genetic variants between primary sites and metastatic lymph nodes, and prognostic impact in nodal metastatic lung adenocarcinoma. J Cancer Res Clin Oncol. 2019;145:2325–33. https://doi.org/10.1007/s00432-019-02978-0.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This work was partially conducted at the Analysis Center of Life Science, Natural Science Center for Basic Research and Development, Hiroshima University (Hiroshima, Japan). We would like to thank Editage (www.editage.jp) for English language editing.

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This work received no external funding.

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Authors and Affiliations

Authors

Contributions

Conceptualization; MI, YM, Data collection and curation; MI, KK, YT, Formal analysis; MI, DU, Investigation; MI, Methodology; MI, YM, Project administration; YM, MO, Supervision; MO, Visualization; MI, Roles/Writing - original draft; MI, Writing – review & editing and approving the final manuscript; all authors.

Corresponding author

Correspondence to Morihito Okada.

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All the procedures involving human participants were in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent for collecting samples for use in study and publication of results was obtained from all patients before surgery. This study was approved by the Institutional Review Board of Hiroshima University (E-2735).

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Ito, M., Miyata, Y., Kushitani, K. et al. Distribution and prognostic impact of EGFR and KRAS mutations according to histological subtype and tumor invasion status in pTis-3N0M0 lung adenocarcinoma. BMC Cancer 23, 248 (2023). https://doi.org/10.1186/s12885-023-10716-6

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