Literature DB >> 31190983

The safety and serious adverse events of approved ALK inhibitors in malignancies: a meta-analysis.

Helei Hou1, Dantong Sun1, Kewei Liu1, Man Jiang1, Dong Liu1, Jingjuan Zhu1, Na Zhou1, Jing Cong1, Xiaochun Zhang1.   

Abstract

Background: A total of 2%-7% of non-small cell lung cancer (NSCLC) patients have anaplastic lymphoma kinase (ALK) mutations. At present, three or more generations of ALK inhibitors have been used for ALK-positive NSCLC treatment, including crizotinib, alectinib, ceritinib, and brigatinib. Although most adverse events (AEs) of ALK inhibitors are grades 1 to 2 and generally can be well tolerated, serious adverse events (SAEs) of ALK inhibitors lack data analysis, and the lung toxicity of ALK inhibitors needs attention. Thus, we performed this meta-analysis to evaluate the safety of ALK inhibitors, especially in terms of drug-related SAEs.
Methods: A total of 19 studies from 4 databases (PubMed, Science Direct, ClinicalTrials.gov and Cochrane Library) were included in this meta-analysis. All statistical analyses in this meta-analysis were performed with the STATA 14.0 software. We analyzed the incidences of total AEs, total SAEs and SAEs for different ALK inhibitors.
Results: AEs of the ALK inhibitors occurred in almost all participants, and SAEs occurred in more than 20% of the participants. For ceritinib and brigatinib, SAEs occurred in more than 40% of the participants. Alectinib is most likely the safest of the two generations of ALK inhibitors. Generally, the ALK inhibitors showed significant lung toxicity.
Conclusion: In conclusion, attention should be focused on ALK inhibitor-related SAEs, especially lung toxicity. According to this meta-analysis, alxectinib seems to be the safest ALK inhibitor. Physicians should focus on the related SAEs when prescribing ALK inhibitors.

Entities:  

Keywords:  ALK inhibitors; lung toxicity; safety; serious adverse events

Year:  2019        PMID: 31190983      PMCID: PMC6511621          DOI: 10.2147/CMAR.S190098

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Background

NSCLC patients with ALK mutations and gene fusion were first described in 2007.1,2 A total of 2%–7% of NSCLC patients have ALK mutations or ALK gene fusions.3 Patients with ALK mutation have some significant characteristics; for instance, most are young patients with little to no smoking history, and the most common pathological type is adenocarcinoma.4,5 Decades later, three or more generations of ALK inhibitors have been used for ALK-positive NSCLC treatment, including crizotinib, alectinib, ceritinib, and brigatinib. Crizotinib was the first generation small molecule ALK tyrosine kinase inhibitor (TKI) approved by the FDA for ALK-positive NSCLC patients in 2001. Crizotinib was proven to improve progression-free survival (PFS), and patients had a satisfactory objective response rate (ORR) to the drug.6,7 However, approximately 73% of patients acquired resistance after less than 1 year on crizotinib treatment (medium PFS: 10.9 months).7 Fortunately, the second and third generation ALK inhibitors have provided crizotinib-resistant patients with more options. Although most of AEs of ALK inhibitors are grades 1 to 2 and generally can be well tolerated by patients, clinical data analysis of the SAEs of the two generations of ALK inhibitors is lacking, and the lung toxicity of ALK inhibitors requires attention.8 Meanwhile, ALK inhibitor-related dyspnea and interstitial lung disease (ILD) have been detected during the treatment process.9,10 Thus, we performed this meta-analysis to evaluate the safety of two generations of ALK inhibitors, especially in terms of drug-related SAEs..

Methods

Search strategy for the studies

In June 2018, 2 authors (Hou HL and Sun DT) searched four databases independently, including PubMed, Science Direct, ClinicalTrials.gov, and Cochrane Library. MeSH terms for all keywords were used in the search strategies, including crizotinib, PF-06260182, alectinib, CH5424802, ceritinib, LDK378, brigatinib and AP26113. All keywords were searched in the databases separately. Any disagreement concerning whether the study should be included was discussed by all authors. In addition, we contacted some of the corresponding authors of the studies if the databases failed to provide sufficient information.

Literature selection criteria

All clinical trials evaluating the safety of ALK inhibitors were considered eligible for the analysis. Two authors (Sun DT and Hou HL) completed the literature screening independently. The inclusion criteria were as follows: 1) trial phases: I to III, only in English; 2) participant types: advanced lung cancer patients; 3) intervention types: patients treated with ALK inhibitors; and 4) outcome measure types: the incidences of pooled AEs and SAEs, and the incidences of all types of SAEs. The exclusion criteria were as follows: case reports, reviews or meta-analyses; duplicate studies; animal or cell experiments and articles not written in English.

Data extraction

Two authors (Sun DT and Hou HL) completed the related literature data extraction independently, including the study ID, ALK inhibitor types, treatment lines, patients’ races, trial phases, cancer types, and driver mutations. The characteristics of the included studies are shown in Table 1. We also extracted the following research indicators selected in this meta-analysis from the included studies: the incidence of total AEs; the incidence of total SAEs and the incidences of common types of SAEs, which are shown in Table S1. Disagreements concerning the data extraction results were discussed by all authors.
Table 1

Main characteristics of the included studies

Study IDALK inhibitorsCancer pathologic typeDriven mutationPhaseNumber of patientsRaceTreatment linesQuality assessment
NCT0194502113CrizotinibNon-small cell lung cancerROS1II127AsianNA6(NOS)
NCT0207584014CrizotinibNon-small cell lung cancerALKIII151Multi-races1st linesFigure S1
NCT0163900115CrizotinibNon-small cell lung cancerALKIII104Asian1st linesFigure S1
NCT0093245116CrizotinibNon-small cell lung cancerALKII1066Asian2nd lines6(NOS)
NCT009328936CrizotinibNon-small cell lung cancerALKIII173Multi-races2nd linesFigure S1
NCT011541407CrizotinibNon-squamous lung cancerALKIII172Multi-races1st linesFigure S1
NCT0207584014AlectinibNon-small cell lung cancerALKIII152Multi-races1st linesFigure S1
NCT0187180517AlectinibNon-small cell lung cancerALKI13Multi-races2nd lines6(NOS)
NCT0187180517AlectinibNon-small cell lung cancerALKII87Multi-races2nd lines6(NOS)
NCT0180111118AlectinibNon-small cell lung cancerALKII138Multi-races2nd lines6(NOS)
JapicCTI-10126419AlectinibNon-small cell lung cancerALKIII46Asian2nd or 3rd linesFigure S1
NCT018281120CeritinibNon-small cell lung cancerALKIII115Multi-races3rd linesFigure S1
NCT0168506021CeritinibNon-small cell lung cancerALKII140Multi-races3rd lines6(NOS)
NCT0182809922CeritinibNon-small cell lung cancerALKIII189Multi-races1st linesFigure S1
NCT0128351623CeritinibNon-small cell lung cancerALKI255Multi-races2nd lines6(NOS)
NCT0163476324CeritinibNon-small cell lung cancerALKI20Asian2nd lines6(NOS)
NCT0209457325BrigatinibNon-small cell lung cancerALKII112Multi-races2nd lines6(NOS)
NCT0209457325BrigatinibNon-small cell lung cancerALKII110Multi-races2nd lines6(NOS)
NCT0144946126BrigatinibNon-small cell lung cancerALK/EGFRm/ROS1II137Multi-races2nd lines6(NOS)

Abbreviations: ALK, Anaplastic lymphoma kinase; EGFR, epidermal growth factor receptor; ROS1, c - ros oncogene 1 receptor kinase; NOS, Newcastle - Ottawa scale; NA, Not available.

Main characteristics of the included studies Abbreviations: ALK, Anaplastic lymphoma kinase; EGFR, epidermal growth factor receptor; ROS1, c - ros oncogene 1 receptor kinase; NOS, Newcastle - Ottawa scale; NA, Not available.

Quality assessment

Two authors (Hou HL and Zhang XC) assessed the quality of the studies independently after reading the full text of each study. We used the Newcastle-Ottawa scale (NOS) to assess the quality of non-randomized controlled trials (non-RCTs) in this meta-analysis.11 The quality of the study was considered “poor” if the NOS score was less than 4. If the score was between 4 and 6, we considered the quality of the study “moderate”. Studies with scores between 7 and 9 were considered “high quality”. The NOS scores of the 21 included studies are shown in Table S1, and the details of the quality assessment by NOS are shown in the supplementary files (Table S2). The risk of bias of the randomized controlled trials (RCTs) was independently assessed by the 2 investigators above using the Cochrane collaboration’s tool for assessing the risk of bias in RCTs.12 The details of the assessment are shown in the supplementary files (Figure S1).

Statistical analysis

All statistical analyses in this meta-analysis were performed with the STATA 14.0 software (Stata Corp., College Station, TX, USA). The results are expressed as the rate and 95% confidence interval (CI). In this meta-analysis, we used the random-effects model to perform the statistical analyses and the Chi-square test and I2 statistic to assess inter-study heterogeneity. A p-value >0.1 and an I2<50% indicate that the heterogeneity is not statistically significant. If the p-value was less than 0.1 and I2>50%, significant heterogeneity existed among the studies, and subgroup analyses were performed to assess the heterogeneity. We followed the Cochrane handbook, and no post hoc analysis was performed. Begg’s and Egger’s tests were used to evaluate publication bias in this meta-analysis. The trim and fill method was used for the sensitivity analysis in this meta-analysis.

Results

Figure 1 describes the literature selection process of the included studies. A total of 13,253 references were identified after database searching (PubMed 7,514, Cochrane Library 347, Science Direct 5,183, and ClinicalTrials.gov 209). A total of 9,096 references remained after duplicates were removed. A total of 23 references remained after the first screening, and 4 references were excluded for multiple reasons, including 2 that were case-series reports and 2 that were duplicate references. Finally, 19 studies with a total of 3,307 patients were included for the safety evaluation of the two generations of ALK inhibitors.
Figure 1

Flow chart of the article selection process.

Flow chart of the article selection process.

Results of the pooled AEs and SAEs

AEs were detected in almost all participants in this meta-analysis. The overall incidences of AEs for the two generations of ALK inhibitors were as follows: crizotinib: 98.27% (95% CI: 96.94–99.61); alectinib: 96.24% (95% CI: 92.88–99.60); ceritinib: 99.45% (95% CI: 98.90–99.99); and brigatinib: 94.77% (95% CI: 92.47–97.08). Importantly, the incidences of the SAEs were not as low as expected. The incidences of the SAEs were as follows: crizotinib: 38.09% (95% CI: 26.93–47.26); alectinib: 26.24% (95% CI: 14.15–38.33); ceritinib: 41.44% (95% CI: 37.15–45.73); and brigatinib: 41.68% (95% CI: 36.21–47.14). The incidences of the AEs and SAEs are shown in Figure 2A, and the details of the analysis of the AE and SAE incidences are shown in the supplementary files (Figures S2 and S3).
Figure 2.

Safety of two generations ALK inhibitors. (A) Incidences of pooled AEs and SAEs. (B) Incidences of SAEs in five systems.

Abbreviation: ALK, Anaplastic lymphoma kinase.

Safety of two generations ALK inhibitors. (A) Incidences of pooled AEs and SAEs. (B) Incidences of SAEs in five systems. Abbreviation: ALK, Anaplastic lymphoma kinase.

The SAEs of five major systems

The incidences of SAEs for five major systems are summarized in Figure 2B. All SAEs in the five systems followed the classification from clinicaltrails.gov. The ALK inhibitors showed significant respiratory system toxicity. The incidences of SAEs in the respiratory system were as follows: crizotinib: 10.57% (95% CI: 7.22–13.92); alectinib: 5.98% (95% CI: 3.59–8.38); ceritinib: 14.17% (95% CI: 10.85–17.48); and brigatinib: 13.48% (95% CI: 6.24–20.71). In addition to SAEs in the respiratory system, the most common 3 systemic SAEs were found in the nervous system, cardiovascular system and alimentary system. The first generation ALK inhibitor (crizotinib) showed a higher incidence of SAEs in the urinary system as follows: crizotinib: 1.78% (95% CI: 0.77–2.78); alectinib: 0.01% (95% CI: 0.17–0.20); ceritinib: 0.78% (95% CI: 0.26–1.81); and brigatinib: 0.31% (95% CI: 0.46–1.08). Conversely, the second generation ALK inhibitors, especially ceritinib and brigatinib, showed higher nervous system toxicity as follows: crizotinib: 3.88% (95% CI: 2.09–5.66); alectinib: 3.07% (95% CI: 0.45–5.70); ceritinib: 8.84% (95% CI: 3.93–13.75); and brigatinib: 7.40% (95% CI: 4.70–10.10). The forest plots for the SAEs in the five systems are shown in the supplementary files (Figures S4–S8).

The SAEs of the ALK inhibitors

Figure 3 shows the SAEs arranged by incidence for the 4 ALK inhibitors. The lung toxicity of the ALK inhibitors was observed clearly. The SAE (incidence >1%) comparisons between the two generation of ALK inhibitors are shown in Figure 4. The forest plots for these results are shown in the supplementary files (Figures S9–S46).
Figure 3

SAEs incidences of two generations ALK inhibitors.

Notes: (A) crizotinib; (B) alectinib; (C) ceritinib; (D) brigatinib.

Abbreviation: ALK, Anaplastic lymphoma kinase.

Figure 4

The comparison of SAEs in two generations ALK inhibitors.

Notes: (A) pneumonia; (B) dyspnoea and respiratory failure; (C) pleural effusion; (D) thrombotic disease; (E) pyrexia; (F) vomiting; (G) nausea.

Abbreviation: ALK, Anaplastic lymphoma kinase.

SAEs incidences of two generations ALK inhibitors. Notes: (A) crizotinib; (B) alectinib; (C) ceritinib; (D) brigatinib. Abbreviation: ALK, Anaplastic lymphoma kinase. The comparison of SAEs in two generations ALK inhibitors. Notes: (A) pneumonia; (B) dyspnoea and respiratory failure; (C) pleural effusion; (D) thrombotic disease; (E) pyrexia; (F) vomiting; (G) nausea. Abbreviation: ALK, Anaplastic lymphoma kinase. For crizotinib, the SAE sequences were arranged by incidence as follows: pneumonia, 4.21% (95% CI: 2.13–6.30); thrombotic disease (including pulmonary embolism and venal thrombosis), 3.71% (95% CI: 1.85–5.58); pleural effusion, 1.26% (95% CI: 0.74–1.77); pyrexia, 1.14% (95% CI: 0.65–1.64); vomiting, 0.60% (95% CI: 0.03–1.17); increased alanine aminotransferase (ALT) concentration, 0.47% (95% CI: 0.02–0.96); dyspnea and respiratory failure (including dyspnea, respiratory failure and acute respiratory distress syndrome), 0.44% (95% CI: 0.10–0.78); ILD, 0.36% (95% CI: 0.04–0.77); and nausea, 0.08% (95% CI: 0.07–0.22). Alectinib showed superior safety. The SAE with the highest incidence for alectinib in this meta-analysis was pneumonia (0.80%, 95% CI: 0.52–2.11). The incidences of the other SAEs for alectinib were less than 0.05%. Ceritinib showed some drawbacks in terms of safety. The SAE sequence arranged by incidence was as follows: dyspnea and respiratory failure, 5.50% (95% CI: 3.10–7.89); pneumonia, 4.29% (95% CI: 2.79–5.79); nausea, 2.53% (95% CI: 1.37–3.69); vomiting, 2.50% (95% CI: 0.62–4.38); pleural effusion, 2.26% (95% CI: 0.55–3.79); pyrexia, 2.05% (95% CI: 0.49–3.61); thrombotic disease, 1.45% (95% CI: 0.57–2.34); and diarrhea, 1.45% (95% CI: 0.57–2.34). Brigatinib showed more significant lung toxicity than the other SAEs. The SAE sequence arranged by incidence was as follows: pneumonia, 5.09% (95% CI: 2.11–8.07); dyspnea and respiratory failure, 4.29% (95% CI: 0.67–7.90); thrombotic disease, 2.13% (95% CI: 0.64–3.63); and pleural effusion, 2.26% (95% CI: 0.55–3.79).

Subgroup analyses

We set subgroup factors prior to the meta-analysis, including race, treatment lines, driver mutations and ALK inhibitor dosages. When heterogeneity existed in the meta-analysis, subgroup analyses were performed. The subgroup analysis results are shown in Table S3, and the details of the subgroup analyses are shown in the supplementary files. We found that race, treatment lines and driver mutations were important factors for ALK inhibitor treatment.

Publication bias

Egger’s and Begg’s tests were performed to evaluate publication bias in this meta-analysis. When atypism occurred between two tests for one index in this meta-analysis, we accepted the results of Egger’s test.27 The publication bias evaluation results are shown in the supplementary files (Table S4). Most of the results in this meta-analysis had no evidence of publication bias.

Sensitivity analysis

The sensitivity analysis results showed no significant differences in most of the results in this meta-analysis after omitting any one of the included studies, which indicated that the results of this meta-analysis were robust. Some of the SAE incidences showed poor sensitivity; we considered that this finding was due to the research effect of the small sample size caused by the very low incidence of SAEs. The sensitivity analysis results are shown in the supplementary files (Figures S47–S142)

Discussion

ALK inhibitors improve the prognosis of ALK-positive NSCLC patients, and most AEs can be well controlled and tolerated.28,29 However, the SAEs of ALK inhibitors cannot be ignored clinically. With the wide application of ALK inhibitors, ALK inhibitor-related SAEs have gradually aroused our attention. According to the definition of the ClinicalTrials.gov website, SAEs refer to adverse events that result in death, are life-threatening, require inpatient hospitalization or extend a current hospital stay, result in an ongoing or significant incapacity or interfere substantially with normal life functions, or cause a congenital anomaly or birth defect. Therefore, physicians should pay attention to drug-related SAEs when prescribing ALK inhibitor treatment. In this meta-analysis, we found that the total AEs of the ALK inhibitors occurred in almost all of the participants and that the total SAEs occurred in more than 20% of the participants. In particular, SAEs due to ceritinib and brigatinib occurred in more than 40% of the participants. Alectinib is most likely the safest of the four ALK inhibitor. Regarding the SAE results for the five investigated systems, SAEs of the respiratory system were most common. The second generation ALK inhibitors had a high incidence of SAEs of the nervous system, which was possibly related to their central nervous system (CNS) penetration ability.30 In terms of single SAEs, pneumonia seemed to have the highest incidence. In combination with the incidences of plural effusion, dyspnea and respiratory failure, the ALK inhibitors showed significant lung toxicity. ALK inhibitor-related thrombotic disease should draw our attention when providing long-term treatment for elderly, bed-ridden, cancer patients who have a high risk of suffering thrombotic disease. Moreover, ceritinib had high incidences of alimentary SAEs, including nausea, vomiting and diarrhea. Race, the treatment line and the driver mutation seemed to be important factors for ALK-related SAEs. Generally, the incidences of SAEs increase with the addition of the treatment line. However, alectinib seems to be safer in the second line treatment. According to the subgroup analysis results, we can draw conclusions regarding the suitability of an ALK inhibitor for a specific population. Based on the subgroup analysis of race, crizotinib may be safer for Asians, especially in terms of the cardiovascular and urinary system SAEs. Alectinib is more suitable for patients with chemotherapy or previous crizotinib treatment in terms of safety, whereas ceritinib is safer as a first-line treatment. Brigatinib showed significant differences in safety between patients with different driver mutations. For patients with ALK mutations or diffusion, treatment with brigatinib is safer. Admittedly, our meta-analysis has some limitations. Given the low incidences of some SAEs, the small sample size of the research may have influenced the outcomes of this study, resulting in some poor sensitivity evaluation results. Moreover, an insufficient number of clinical trials with results for ALK inhibitors, especially second generation ALK inhibitors, was available for this meta-analysis. Therefore, more clinical trials need to be included to confirm our results.

Conclusion

ALK-related SAEs should draw attention, especially in terms of lung toxicity. According to this meta-analysis, alectinib seems to be the safest ALK inhibitor. Physicians should focus on related SAEs when prescribing ALK inhibitors. Given that lung cancer patients have poor pulmonary function at baseline, the lung toxicity risk of ALK inhibitors should be evaluated before giving treatment.
  28 in total

1.  Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2010-07-22       Impact factor: 8.082

2.  Safety and activity of alectinib against systemic disease and brain metastases in patients with crizotinib-resistant ALK-rearranged non-small-cell lung cancer (AF-002JG): results from the dose-finding portion of a phase 1/2 study.

Authors:  Shirish M Gadgeel; Leena Gandhi; Gregory J Riely; Alberto A Chiappori; Howard L West; Michele C Azada; Peter N Morcos; Ruey-Min Lee; Linta Garcia; Li Yu; Frederic Boisserie; Laura Di Laurenzio; Sophie Golding; Jotaro Sato; Shumpei Yokoyama; Tomohiro Tanaka; Sai-Hong Ignatius Ou
Journal:  Lancet Oncol       Date:  2014-08-18       Impact factor: 41.316

3.  Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer.

Authors:  Eunice L Kwak; Yung-Jue Bang; D Ross Camidge; Alice T Shaw; Benjamin Solomon; Robert G Maki; Sai-Hong I Ou; Bruce J Dezube; Pasi A Jänne; Daniel B Costa; Marileila Varella-Garcia; Woo-Ho Kim; Thomas J Lynch; Panos Fidias; Hannah Stubbs; Jeffrey A Engelman; Lecia V Sequist; WeiWei Tan; Leena Gandhi; Mari Mino-Kenudson; Greg C Wei; S Martin Shreeve; Mark J Ratain; Jeffrey Settleman; James G Christensen; Daniel A Haber; Keith Wilner; Ravi Salgia; Geoffrey I Shapiro; Jeffrey W Clark; A John Iafrate
Journal:  N Engl J Med       Date:  2010-10-28       Impact factor: 91.245

4.  Identification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer.

Authors:  Manabu Soda; Young Lim Choi; Munehiro Enomoto; Shuji Takada; Yoshihiro Yamashita; Shunpei Ishikawa; Shin-ichiro Fujiwara; Hideki Watanabe; Kentaro Kurashina; Hisashi Hatanaka; Masashi Bando; Shoji Ohno; Yuichi Ishikawa; Hiroyuki Aburatani; Toshiro Niki; Yasunori Sohara; Yukihiko Sugiyama; Hiroyuki Mano
Journal:  Nature       Date:  2007-07-11       Impact factor: 49.962

5.  Crizotinib versus chemotherapy in advanced ALK-positive lung cancer.

Authors:  Alice T Shaw; Dong-Wan Kim; Kazuhiko Nakagawa; Takashi Seto; Lucio Crinó; Myung-Ju Ahn; Tommaso De Pas; Benjamin Besse; Benjamin J Solomon; Fiona Blackhall; Yi-Long Wu; Michael Thomas; Kenneth J O'Byrne; Denis Moro-Sibilot; D Ross Camidge; Tony Mok; Vera Hirsh; Gregory J Riely; Shrividya Iyer; Vanessa Tassell; Anna Polli; Keith D Wilner; Pasi A Jänne
Journal:  N Engl J Med       Date:  2013-06-01       Impact factor: 91.245

6.  CH5424802 (RO5424802) for patients with ALK-rearranged advanced non-small-cell lung cancer (AF-001JP study): a single-arm, open-label, phase 1-2 study.

Authors:  Takashi Seto; Katsuyuki Kiura; Makoto Nishio; Kazuhiko Nakagawa; Makoto Maemondo; Akira Inoue; Toyoaki Hida; Nobuyuki Yamamoto; Hiroshige Yoshioka; Masao Harada; Yuichiro Ohe; Naoyuki Nogami; Kengo Takeuchi; Tadashi Shimada; Tomohiro Tanaka; Tomohide Tamura
Journal:  Lancet Oncol       Date:  2013-04-30       Impact factor: 41.316

7.  Global survey of phosphotyrosine signaling identifies oncogenic kinases in lung cancer.

Authors:  Klarisa Rikova; Ailan Guo; Qingfu Zeng; Anthony Possemato; Jian Yu; Herbert Haack; Julie Nardone; Kimberly Lee; Cynthia Reeves; Yu Li; Yerong Hu; Zhiping Tan; Matthew Stokes; Laura Sullivan; Jeffrey Mitchell; Randy Wetzel; Joan Macneill; Jian Min Ren; Jin Yuan; Corey E Bakalarski; Judit Villen; Jon M Kornhauser; Bradley Smith; Daiqiang Li; Xinmin Zhou; Steven P Gygi; Ting-Lei Gu; Roberto D Polakiewicz; John Rush; Michael J Comb
Journal:  Cell       Date:  2007-12-14       Impact factor: 41.582

8.  The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.

Authors:  Julian P T Higgins; Douglas G Altman; Peter C Gøtzsche; Peter Jüni; David Moher; Andrew D Oxman; Jelena Savovic; Kenneth F Schulz; Laura Weeks; Jonathan A C Sterne
Journal:  BMJ       Date:  2011-10-18

9.  Systematic evaluation and comparison of statistical tests for publication bias.

Authors:  Yasuaki Hayashino; Yoshinori Noguchi; Tsuguya Fukui
Journal:  J Epidemiol       Date:  2005-11       Impact factor: 3.211

10.  Activity of EGFR-tyrosine kinase and ALK inhibitors for EML4-ALK-rearranged non-small-cell lung cancer harbored coexisting EGFR mutation.

Authors:  Akihiko Miyanaga; Kumi Shimizu; Rintaro Noro; Masahiro Seike; Kazuhiro Kitamura; Seiji Kosaihira; Yuji Minegishi; Takehito Shukuya; Akinobu Yoshimura; Masashi Kawamoto; Shinichi Tsuchiya; Koichi Hagiwara; Manabu Soda; Kengo Takeuchi; Nobuyuki Yamamoto; Hiroyuki Mano; Yuichi Ishikawa; Akihiko Gemma
Journal:  BMC Cancer       Date:  2013-05-29       Impact factor: 4.430

View more
  17 in total

Review 1.  Tyrosine Kinase Inhibitor Therapy for Brain Metastases in Non-Small-Cell Lung Cancer: A Primer for Radiologists.

Authors:  C Dodson; T J Richards; D A Smith; N H Ramaiya
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-26       Impact factor: 3.825

Review 2.  Potentially life‑threatening severe cutaneous adverse reactions associated with tyrosine kinase inhibitors (Review).

Authors:  Emily L Coleman; Brianna Olamiju; Jonathan S Leventhal
Journal:  Oncol Rep       Date:  2020-12-24       Impact factor: 3.906

3.  Targeting EML4-ALK gene fusion variant 3 in thyroid cancer.

Authors:  Mehtap Derya Aydemirli; Jaap D H van Eendenburg; Tom van Wezel; Jan Oosting; Willem E Corver; Ellen Kapiteijn; Hans Morreau
Journal:  Endocr Relat Cancer       Date:  2021-05-11       Impact factor: 5.678

4.  Primary resistance to first-generation EGFR-TKIs induced by MDM2 amplification in NSCLC.

Authors:  Dantong Sun; Yan Zhu; Jingjuan Zhu; Junyan Tao; Xiaojuan Wei; Yang Wo; Helei Hou
Journal:  Mol Med       Date:  2020-07-01       Impact factor: 6.354

Review 5.  Current Targeted Therapies for the Fight against Non-Small Cell Lung Cancer.

Authors:  Lisa Maria Mustachio; Jason Roszik
Journal:  Pharmaceuticals (Basel)       Date:  2020-11-09

Review 6.  How selecting best upfront therapy for metastatic disease?-Focus on ROS1-rearranged disease.

Authors:  Lorenza Landi; Federico Cappuzzo
Journal:  Transl Lung Cancer Res       Date:  2020-12

7.  ALK rearrangements as mechanisms of acquired resistance to osimertinib in EGFR mutant non-small cell lung cancer.

Authors:  Helei Hou; Dantong Sun; Chuantao Zhang; Dong Liu; Xiaochun Zhang
Journal:  Thorac Cancer       Date:  2021-01-27       Impact factor: 3.500

8.  Clinical Impact of Switching to Ceritinib After Severe AEs Related to Crizotinib/Alectinib in a Novel PTH2R-ALK Fusion Lung Adenocarcinoma: A Case Report.

Authors:  Gang Shen; Yinping Du; Jifang Shen; Junling Zhang; Xihua Xia; Mengli Huang; Wenxiang Shen
Journal:  Onco Targets Ther       Date:  2021-12-23       Impact factor: 4.147

9.  Anaplastic lymphoma kinase inhibitor-associated myositis.

Authors:  Akinori Uruha; Stefan Kliesch; Simone Schmid; Carsten Dittmayer; Hans-Hilmar Goebel; Alexander Dressel; Werner Stenzel; Robert Handreka
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2020-05-06

10.  The role of CD28 in the prognosis of young lung adenocarcinoma patients.

Authors:  Dantong Sun; Lu Tian; Tiantian Bian; Han Zhao; Junyan Tao; Lizong Feng; Qiaoling Liu; Helei Hou
Journal:  BMC Cancer       Date:  2020-09-23       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.