Skip to main content
  • Research article
  • Open access
  • Published:

Impact on prognosis of rebiopsy in advanced non-small cell lung cancer patients after epidermal growth factor receptor-tyrosine kinase inhibitor treatment: a systematic review

Abstract

Background

Osimertinib, the third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI), has become the standard treatment in cases where rebiopsy reveals T790M mutation after the first-line EGFR-TKI treatment. However, the prognosis of patients after rebiopsy, the most important outcome for cancer patients, has not been described sufficiently. This systematic review aimed to clarify whether rebiopsy contributes to improved prognosis in the first- or second-generation EGFR-TKI refractory patients.

Methods

Using free word and control terms related to “non-small cell lung cancer” and “rebiopsy,” we searched studies from Medical Literature Analysis and Retrieval System Online via PubMed, Embase, Cochrane Central Register of Controlled Trials, and World Health Organization International Clinical Trials Registry Platform. We included cohort studies and case reports written in English and judged whether each study answers our research questions.

Results

Of the 144 studies included, only one reported the prognosis of patients with/without rebiopsy showing that in EGFR-TKI refractory non-small cell lung cancer patients, the post-progression survival (PPS) was significantly longer in patients who received rebiopsy and treatment based on a resistant mechanism (median PPS 24.2 months) than those who received rebiopsy and salvage regimen (median PPS 15.2 months, p = 0.002) and who did not receive rebiopsy (median PPS 9.7 months, p < 0.001). Most of the other studies reported the detection rate of T790M mutation or rebiopsy procedure.

Conclusions

Only a few previous studies have investigated the effectiveness of rebiopsy. Hence, further study is needed to determine the prognosis or adverse events of rebiopsy.

Peer Review reports

Background

A standard care for non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) gene mutation is administration of EGFR-tyrosine kinase inhibitors (TKIs). The progression free survival (PFS) of patients treated with EGFR-TKIs is significantly longer than that of those who received chemotherapy [1,2,3]. T790M mutation is known to be the most common acquired resistance mechanism to first- or second-generation EGFR-TKIs [4, 5]. Osimertinib is a third-generation EGFR-TKI. It has become the standard treatment in cases where rebiopsy reveals T790M mutation after first-line treatment with EGFR-TKIs [6, 7]. After the tumors develop resistance to EGFR-TKIs, rebiopsy of the tissue or liquid biopsy (plasma or urine sampling) [8] to identify T790M mutation plays an important role in deciding the next line of treatment [6, 7].

Although the duration of survival is one of the most important outcomes for lung cancer patients [9], only a few studies on rebiopsy have evaluated it. A previous systematic review by Luo et al. [10] reported the diagnostic accuracy of a particular method of EGFR mutation detection, but patients’ survival rates were not described.

This study aimed to clarify if performing rebiopsy contributes to improve prognosis in the first- or second-generation EGFR-TKI refractory patients through a systematic review of previous literature.

Methods

Protocol and registration

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement during all stages of design, implementation, and reporting [11]. Our protocol was registered in the International Prospective Register of Systematic Reviews (ID: CRD42017068630). PRISMA checklist is shown in supplement 1.

Eligibility criteria

We included cohort studies and case reports written in English and excluded review articles. We included articles irrespective of publication status.

Information sources

Using free word and control terms related to “non-small cell lung cancer” and “rebiopsy,” we searched studies from Medical Literature Analysis and Retrieval System Online via PubMed, Embase, Cochrane Central Register of Controlled Trials, and World Health Organization International Clinical Trials Registry Platform.

Search

The search queries are shown in supplement 2.

Analytic framework

We developed an analytic framework (AF) according to the recommendation of the Agency for Healthcare Research and Quality [12]. Panel members, including an oncologist (TM) and two pulmonologists (YK and KH), with over 10 years of experience were involved in the discussion and in reaching a consensus. The AF contains key questions (KQs). KQ1: Does rebiopsy in the first- or second-generation EGFR-TKI refractory patients improve prognosis? KQ2: What are the rebiopsy samples? KQ3: How are EGFR gene mutations detected? KQ4: Is the benefit of rebiopsy greater than the potential harm? KQ5: How often is T790M mutation detected in the first- or second-generation EGFR-TKI refractory cases? KQ6: How is the prognosis when the third-generation EGFR-TKI is administered to T790M-positive cases? KQ7: Is the benefit of the third-generation EGFR-TKI to T790M-positive cases greater than the potential harm? KQ8: How is the prognosis of T790M-negative cases? KQ9: How is the prognosis when rebiopsy is not performed in the first- or second-generation EGFR-TKI refractory cases? (Fig. 1).

Fig. 1
figure 1

PRISMA flow diagram

Study selection

Two researchers (TI and TM) independently screened the titles and abstracts of articles identified during the initial search, and assessed the eligibility based on full-text reviews. Disagreements were resolved by discussion between the researchers. If necessary, another researcher (YK) acted as an arbiter.

Data collection process

We created a data extraction sheet. For each included review, one researcher (TI) extracted the data and judged whether the study answered the key questions. Other researchers (YK and AS) confirmed these. Disagreements were resolved by discussion between the researchers.

Data items

We extracted the titles, authors, journal, published year, abstract, and publication style from each article.

Risk of bias in individual studies

We did not assess the risk of bias in individual studies.

Summary measures

The primary outcome was the number of studies that answer each key question.

Synthesis of results

We summarized the results using descriptive statistics.

Results

A total of 794 articles were screened. After assessing the eligibility based on a full-text review, we included 144 articles in qualitative synthesis (Fig. 2). The included articles are listed in supplement 3. The number of studies which answer each KQ are shown in Table 1. The rebiopsy samples were reported in 98 (68%) studies. The most common samples were: lung lesions, lymph nodes, plasma, pleural fluid, and other metastatic lesions. The methods used for detecting EGFR mutations were reported in 93 (65%) studies. Droplet digital polymerase chain reaction, amplification refractory mutation system, and next-generation sequencing were the most common detection methods. The detection rate of T790M mutation was reported in 99 (69%) studies. However, only a few studies reported on the prognosis of patients (n = 1, 0.7%), adverse events of rebiopsy (n = 9, 6.3%), and those with third-generation EGFR-TKI (n = 1, 0.7%). Only Zhang et al.’s study reported the prognosis of patients [13]. They reviewed 227 EGFR-TKI refractory NSCLC patients and reported that the post-progression survival (PPS) was significantly longer in patients who received rebiopsy and treatment based on a resistant mechanism (n = 70, median PPS 24.2 months) than those who received rebiopsy and salvage regimen (n = 37, median PPS 15.2 months, p = 0.002) and who did not receive rebiopsy (n = 120, median PPS 9.7 months, p < 0.001).

Fig. 2
figure 2

Analytic framework

(EGFR, epidermal growth factor; TKI, tyrosine kinase inhibitor; NSCLC, non-small cell lung cancer; OS, overall survival; PFS, progression free survival)

Table 1 The primary outcome

Discussion

In this systematic review, we developed an analytic framework to assess whether performing rebiopsy improves the prognosis in the first- or second-generation EGFR-TKI refractory patients and found several appropriate studies. The results showed that methods (e.g., biopsy samples, technique, and test kit) and success rate of rebiopsy and positive detection rate of T790M mutation were well described in previous studies. However, only a few studies were conducted to clarify the effectiveness of performing rebiopsy; only one investigated whether performing rebiopsy improves the prognosis (KQ1). Most of the included studies were diagnostic test accuracy (DTA) studies.

In order to argue the effectiveness of rebiopsy, it is important to investigate patient prognosis when rebiopsy is or is not performed. Although DTA studies reported surrogate outcomes (e.g., positive rate of T790M mutation), they sometimes have no linkage with clinical outcomes (e.g., prognosis) [14]. For example, Presley et al. reported that broad-based genomic sequencing for advanced lung cancer was not significantly associated with 12-month mortality [15]. Lim et al. revealed that there was no significant difference in overall survival and progression-free survival between a T790M mutation-positive group and a T790M mutation-negative group after the first EGFR-TKI treatment failed [16].

Only the prognostic study conducted by Zhang et al. had several critical biases. First, although the general condition of the patients is critical information for a prognostic study [17], these were not referred to in this study. The patients not receiving rebiopsy may have had a poorer prognosis because potentially, those with a poor general condition may not have been indicated for rebiopsy. The reasons for not performing rebiopsy should have been noted. Second, patients’ general condition or the next regimen after failure of first EGFR-TKI treatment can be confounding factors, which were not considered in the study. A new study, designed to investigate the survival rates when rebiopsy is/is not performed, and in which adequate follow-up time and confounding factors are taken into consideration is needed. This will clarify the prognostic benefit of performing rebiopsy and its cost-effectiveness.

The number of studies reporting the adverse events associated with the rebiopsy procedure was limited, which makes drawing conclusions regarding the benefits of rebiopsy difficult. Reporting guidelines are widely used according to the study types. After the Consolidated Standards of Reporting Trials statement [18] was published, the quality of randomized control studies in oncology showed suboptimal improvement [19]. To assess the usefulness of the intervention, we should follow the Standards for Reporting Diagnostic Accuracy statement [20] and investigate adverse events — which will lead to improvements in the quality of prognostic studies.

This study had some limitations. First, the articles published after the targeted searching period are not included in this review. The only study investigating the prognosis was published as an abstract presented at a congress more than 2 years ago. Second, the extraction of data was performed by one researcher. It may be better to reduce bias through independent extraction of data by two researchers. Third, the AF of this study lacked the viewpoint of patients. However, it is reasonable according to the statement from American Society of Clinical Oncology [21], which indicated that the key elements of framework are the clinical benefits (e.g., hazard ratio for death, overall survival, and progression-free survival) and toxicity (e.g., adverse effects).

Conclusions

With regard to rebiopsy of EGFR-TKI refractory NSCLC, studies reporting the survival rates of patients or adverse events of the rebiopsy procedure are limited compared to DTA studies. Hence, further studies on the prognosis or adverse events associated with rebiopsy are needed to investigate the effectiveness of rebiopsy.

Abbreviations

AF:

Analytic framework

DTA:

Diagnostic test accuracy

EGFR-TKI:

Epidermal growth factor receptor-tyrosine kinase inhibitor

KQ:

Key question

NSCLC:

Non-small cell lung cancer

PFS:

Progression free survival

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

References

  1. Mitsudomi T, Morita S, Yatabe Y, Negoro S, Okamoto I, Tsurutani J, et al. Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): an open label, randomised phase 3 trial. Lancet Oncol. 2010;11:121–8. https://doi.org/10.1016/S1470-2045(09)70364-X.

    Article  CAS  PubMed  Google Scholar 

  2. Inoue A, Kobayashi K, Maemondo M, Sugawara S, Oizumi S, Isobe H, et al. Updated overall survival results from a randomized phase III trial comparing gefitinib with carboplatin-paclitaxel for chemo-naïve non-small cell lung cancer with sensitive EGFR gene mutations (NEJ002). Ann Oncol. 2013;24:54–9. https://doi.org/10.1093/annonc/mds214.

    Article  CAS  PubMed  Google Scholar 

  3. Yang JCH, Wu YL, Schuler M, Sebastian M, Popat S, Yamamoto N, et al. Afatinib versus cisplatin-based chemotherapy for EGFR mutation-positive lung adenocarcinoma (LUX-lung 3 and LUX-lung 6): analysis of overall survival data from two randomised, phase 3 trials. Lancet Oncol. 2015;16:141–51. https://doi.org/10.1016/S1470-2045(14)71173-8.

    Article  CAS  PubMed  Google Scholar 

  4. Kobayashi S, Boggon TJ, Dayaram T, Jänne PA, Kocher O, Meyerson M, et al. EGFR mutation and resistance of non–small-cell lung Cancer to Gefitinib. N Engl J Med. 2005;352:786–92. https://doi.org/10.1056/NEJMoa044238.

    Article  CAS  Google Scholar 

  5. Sequist L V., Waltman BA, Dias-Santagata D, Digumarthy S, Turke AB, Fidias P, et al. Genotypic and histological evolution of lung cancers acquiring resistance to EGFR inhibitors. Sci Transl Med. 2011;3:75ra26. https://doi.org/10.1126/scitranslmed.3002003

  6. Goss G, Tsai CM, Shepherd FA, Bazhenova L, Lee JS, Chang GC, et al. Osimertinib for pretreated EGFR Thr790Met-positive advanced non-small-cell lung cancer (AURA2): a multicentre, open-label, single-arm, phase 2 study. Lancet Oncol. 2016;17:1643–52. https://doi.org/10.1016/S1470-2045(16)30508-3.

    Article  CAS  PubMed  Google Scholar 

  7. Mok TS, Wu Y-L, Ahn M-J, Garassino MC, Kim HR, Ramalingam SS, et al. Osimertinib or platinum-Pemetrexed in EGFR T790M-positive lung Cancer. N Engl J Med. 2017;376:629–40. https://doi.org/10.1056/NEJMoa1612674.

    Article  CAS  PubMed  Google Scholar 

  8. Reckamp KL, Melnikova VO, Karlovich C, Sequist L. A highly sensitive and quantitative test platform for detection of NSCLC EGFR mutations in urine and plasma. J Clin Oncol. 2016;11:1690–700. https://doi.org/10.1016/j.jtho.2016.05.035.

    Article  Google Scholar 

  9. Mak KS, Van Bommel ACM, Stowell C, Abrahm JL, Baker M, Baldotto CS, et al. Defining a standard set of patient-centred outcomes for lung cancer. Eur Respir J. 2016;48:852–60. https://doi.org/10.1183/13993003.02049-2015.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Luo J, Shen L, Zheng D. Diagnostic value of circulating free DNA for the detection of EGFR mutation status in NSCLC: a systematic review and meta-analysis. Sci Rep. 2014;4:1–7. https://doi.org/10.1038/srep06269.

    Article  CAS  Google Scholar 

  11. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement PLoS Med 2009;6:e1000097. https://doi.org/10.1371/journal.pmed.1000097.

  12. Samson D, Schoelles KM. Developing the topic and structuring systematic reviews of medical tests: utility of PICOTS. Decision Trees, and Other Frameworks: Analytic Frameworks; 2012. http://www.ncbi.nlm.nih.gov/pubmed/22834028

    Google Scholar 

  13. Zhang L, Sheng J, Huang Y, Yang Y, Zhao H, Fang W, et al. Re-biopsy confers survival benefit through directing salvage treatment for patients failing prior EGFR-TKIs. Ann Oncol. 2016;27(suppl_6):2800118. https://doi.org/10.1093/annonc/mdw383.33

  14. Singh S, Chang SM, Matchar DB, Bass EB. Chapter 7: grading a body of evidence on diagnostic tests. J Gen Intern Med. 2012;27(S1):47–55. https://doi.org/10.1007/s11606-012-2021-9.

    Article  PubMed Central  Google Scholar 

  15. Presley CJ, Tang D, Soulos PR, Chiang AC, Longtine JA, Adelson KB, et al. Association of Broad-Based Genomic Sequencing with Survival among Patients with Advanced non–Small Cell Lung Cancer in the community oncology setting. JAMA. 2018;320:469–77. https://doi.org/10.1001/jama.2018.9824.

    Article  CAS  PubMed  Google Scholar 

  16. Lim SW, Park S, Kim Y, Cho JH, Park SE, Lee H, et al. Continuation of Gefitinib beyond progression in patients with EGFR mutation-positive non-small-cell lung Cancer: a phase II single-arm trial. Lung Cancer. 2018. https://doi.org/10.1016/j.lungcan.2018.08.003.

  17. Hayden JA, Côté P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med. 2006;144:427–37. http://www.ncbi.nlm.nih.gov/pubmed/16549855.

    Article  Google Scholar 

  18. Schulz KF, Altman DG, Moher D, CONSORT Group. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c332. http://www.ncbi.nlm.nih.gov/pubmed/20332509.

  19. Ghimire S, Kyung E, Lee H, Kim E. Oncology trial abstracts showed suboptimal improvement in reporting: a comparative before-and-after evaluation using CONSORT for abstract guidelines. J Clin Epidemiol. 2014;67:658–66. https://doi.org/10.1016/j.jclinepi.2013.10.012.

    Article  PubMed  Google Scholar 

  20. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med. 2003;138:W1–12. http://www.ncbi.nlm.nih.gov/pubmed/12513067.

    Article  Google Scholar 

  21. Schnipper LE, Davidson NE, Wollins DS, Blayney DW, Dicker AP, Ganz PA, et al. Updating the American Society of Clinical Oncology value framework: revisions and reflections in response to comments received. J Clin Oncol. 2016;34:2925–34. https://doi.org/10.1200/JCO.2016.68.2518.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank Editage (http://www.editage.jp) for English language editing.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Availability of data and materials

The search queries and all included studies are included in the supplemental file.

Author information

Authors and Affiliations

Authors

Contributions

TI designed the study, conducted the review and wrote the draft of the manuscript. KH and TM were involved in the discussion to develop analytic framework. TM screened the articles for inclusion. AS was involved in the discussion to confirm the results. YK supervised the study. All authors contributed to the conceptualization of the paper, reviewed all drafts and approved the final manuscript.

Corresponding author

Correspondence to Takuma Imakita.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interest.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Imakita, T., Matsumoto, H., Hirano, K. et al. Impact on prognosis of rebiopsy in advanced non-small cell lung cancer patients after epidermal growth factor receptor-tyrosine kinase inhibitor treatment: a systematic review. BMC Cancer 19, 105 (2019). https://doi.org/10.1186/s12885-019-5309-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-019-5309-x

Keywords