Literature DB >> 26770062

Detection of lung adenocarcinoma with ROS1 rearrangement by IHC, FISH, and RT-PCR and analysis of its clinicopathologic features.

Bing Cao1, Ping Wei1, Zebing Liu2, Rui Bi1, Yongming Lu1, Ling Zhang1, Jing Zhang1, Yusi Yang1, Chen Shen1, Xiang Du1, Xiaoyan Zhou1.   

Abstract

OBJECTIVE: To detect ROS1 rearrangement using three different assays, including immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), and reverse transcription polymerase chain reaction (RT-PCR), and to analyze the clinicopathologic features of ROS1 rearrangement in patients with lung adenocarcinoma.
METHODS: One hundred eighty-three consecutive patients with lung adenocarcinoma with operation and follow-up data were analyzed for ROS1 rearrangement by IHC, FISH, and RT-PCR. PCR products of the RT-PCR-positive samples were sequenced for confirmation of the specific fusion partners.
RESULTS: Three of the 183 (1.64%) cases were identified to be positive for ROS1 rearrangement through all three methods. The fusion patterns were CD74 e6-ROS1 e32, CD74 e6-ROS1 e34, and TPM3 e8-ROS1 e35, respectively. FISH-positive cases showed two types of signals, single 3' signals (green) and split red and green signals. Using FISH as a standard method, the sensitivity and specificity of ROS1 IHC with 1+ staining or more were 100% and 96.67%, respectively. The sensitivity and specificity of RT-PCR were both 100%. Univariate analysis identified female sex (P=0.044), Stage I disease (P<0.001), and ROS1-negative status (P=0.022) to be significantly associated with longer overall survival.
CONCLUSION: IHC, FISH, and RT-PCR are all effective methods for the detection of ROS1 rearrangement. IHC would be a useful screening method in routine pathologic laboratories. RT-PCR can detect exact fusion patterns. ROS1 rearrangement may be a worse prognostic factor. The exact correlation of ROS1 rearrangement with prognosis and whether different fusion types are correlated with different responses to targeted therapy need to be further investigated.

Entities:  

Keywords:  FISH; IHC; ROS1; RT-PCR; lung adenocarcinoma; rearrangement

Year:  2015        PMID: 26770062      PMCID: PMC4706119          DOI: 10.2147/OTT.S94997

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Lung adenocarcinoma is the most common histological subtype of lung cancer, which is the leading cause of cancer-related deaths worldwide.1,2 There is increasing evidence that lung adenocarcinoma could be divided into different molecular subgroups based on the identification of oncogenic drivers, such as EGFR, ALK, ROS1, RET, and MET, with unique clinicopathologic characteristics and the potential for targeted therapies.3 ROS1 is a receptor tyrosine kinase that encodes a transmembrane protein with evolutionary relationships to ALK.4 ROS1 fusion was originally identified in the human glioblastoma cell line U118MG in 1987.5 Recently, ROS1 fusions have been discovered in several other tumors, including cholangiocarcinoma,6 non-small-cell lung cancer (NSCLC),7–12 ovarian cancer,13 gastric carcinoma,14 and colorectal cancer.15 ROS1 fusion in NSCLC was initially identified by Rikova et al7 in 2007 using a phosphoproteomic screen, and ROS1 fusion was shown to participate in the formation of lung adenocarcinoma. Bergethon et al8 found that the features most commonly associated with ROS1-fusion NSCLC were young age, never-smoking history, adenocarcinoma, and higher tumor grade. Further studies confirmed adenocarcinoma as the predominant histological type in ROS1-fusion NSCLC.9,10 In addition, ROS1 fusion generally does not overlap with other known oncogenic drivers, such as EGFR mutation and ALK rearrangement.7,8,10 Preclinical and clinical data have shown that ROS1 fusion cases with NSCLC are sensitive to the ALK inhibitor crizotinib.8 Crizotinib is a multitargeted kinase inhibitor, and it has been approved by the US Food and Drug Administration for the treatment of patients with ALK rearrangement-positive NSCLC. Recently, updated efficacy and safety data for an ongoing Phase I crizotinib study (NCT00585195) indicated that crizotinib was an effective therapy for advanced ROS1-fusion NSCLC.16 And in the National Comprehensive Cancer Network guidelines for NSCLC, crizotinib is listed as an available targeted agent for ROS1 rearrangements. In general, ROS1 fusion occurs infrequently in lung adenocarcinoma. However, given the morbidity of lung cancer, ROS1-fusion-positive patients account for a significant number. Therefore, detection of the molecular alteration rapidly as well as accurately and understanding the tumor’s clinicopathologic features are very important issues in the current clinical setting for the precise therapy of lung adenocarcinoma. In this study, we detected 183 patients with lung adenocarcinoma at our institute to identify ROS1 fusion-positive cases from DNA, RNA, and protein levels by fluorescence in situ hybridization (FISH), reverse transcription polymerase chain reaction (RT-PCR), and immunohistochemistry (IHC), respectively, assessed their values in the clinical setting, and analyzed the clinicopathologic features.

Materials and methods

Patients and tumor samples

This project was conducted using data and formalin-fixed paraffin-embedded (FFPE) tissue samples from Fudan University Shanghai Cancer Centre between 2007 and 2011. Patients who underwent operations and had pathologically confirmed lung adenocarcinoma and follow-up data were included. Patients treated with preoperative therapy were excluded. All clinical information was gathered by review of medical records, including age at diagnosis, sex, pathological tumor-node-metastasis (TNM) stage, and smoking history. Patients having a lifetime smoking dose of <100 cigarettes were defined as never smokers. Pathological diagnosis and histologic subtypes of lung adenocarcinoma were made according to the 2015 World Health Organization classification.17 The TNM stage was classified according to the 2009 International Association for the Study of Lung Cancer staging.18 This study was approved by the Fudan University Shanghai Cancer Centre Institutional Review Board, and conducted in accordance with the Declaration of Helsinki. Written informed consent was obtained from the patients.

IHC and FISH on tissue array

Tissue microarrays (TMAs) containing 183 cases were built using 0.6 mm cores. Each tumor was sampled from two different representative sites. TMA sections were baked and deparaffinized, followed by antigen retrieval with the use of sodium citrate (pH =6.0). Sections were then subjected to incubation with ROS1 (D4D6) rabbit monoclonal antibody (1:200; Cell Signaling Technology, Danvers, MA, USA) overnight at 4°C. Detection was conducted with EnVision+ (Dako Denmark A/S, Glostrup, Denmark). The interpretation of IHC results was conducted as described previously:19 0, no staining or nuclear expression only; 1+, faint cytoplasmic staining not exceeding background in any cells; 2+, cytoplasmic staining exceeding background in 0%–50% of tumor cells; and 3+, cytoplasmic staining exceeding background in >50% of tumor cells. FISH assays were carried out utilizing a 6q22 ROS1(Tel) Spectrum Orange Probe for research use only (Abbott Molecular Inc, Des Plaines, IL, USA) on 4 μm thick FFPE slides. Red probes are hybridized to the 5′ region of ROS1, and green probes to the 3′ region containing the tyrosine kinase domain. It was considered to be split when red and green signals of the ROS1 break-apart probe were physically separated by ≥1 signal diameter. Hybridized slides were stained with 4′,6-diamino-2-phenylindole and examined with a BX51 fluorescence microscope (Olympus, Tokyo, Japan). Samples were defined to be positive if >15% of tumor cells presented split signals or single 3′ signals.9

RNA extraction, RT-PCR, and sequencing

Extraction of total RNA from FFPE tissue sections was accomplished using the RecoverAll™ Total Nucleic Acid Isolation Kit for FFPE (Thermo Fisher Scientific, Waltham, MA, USA) following the appropriate protocols. RNA was then reverse transcribed into cDNA, using the ROS1 fusion gene detection kit (AmoyDx, Fujian, People’s Republic of China). The reverse transcription conditions were as follows: 42°C, 60 minutes; 95°C, 5 minutes. Then, PCR was conducted to screen for ROS1 gene fusions on an ABI 7500 system (Applied Biosystems, Foster City, CA, USA) with the ROS1 fusion gene detection kit (AmoyDx). The ROS1 fusion types involved in our study are listed in Table 1. The PCR conditions were as follows: 95°C for 5 minutes, 1 cycle; 95°C for 25 seconds, 64°C for 20 seconds, 72°C for 20 seconds, 15 cycles; and 93°C for 25 seconds, 60°C for 35 seconds, 72°C for 20 seconds, 31 cycles. Finally, PCR products of the RT-PCR-positive samples were directly sequenced for verification and the specific fusion partners.
Table 1

The types of ROS1 gene fusion involved in this study

Fusion numberFusion partners for ROS1, exonROS1 exon
1SLC34A2, e432
2SLC34A2, e14del
3CD74, e6
4SDC4, e2
5SDC4, e4
6SLC34A2, e434
7SLC34A2, e14del
8CD74, e6
9SDC4, e4
10EZR, e10
11TPM3, e835
12LRIG3, e16
13GOPC, e8
14GOPC, e436

Statistical analysis

Categorical variables were compared using the χ2 test and Fisher’s exact test when appropriate. Relapse-free survival (RFS) was measured from the time of resection to the time of the first disease progression or relapse or death resulting from any cause. Overall survival (OS) was calculated from the time of resection to the time of death from any cause or the time of the last follow-up. Estimates of RFS and OS were made by the Kaplan–Meier method, and differences between curves were analyzed using the log-rank test. Statistical analysis was conducted using the SPSS 16.0 software package (SPSS, Chicago, IL, USA).

Results

A total of 183 consecutive patients with primary lung adenocarcinoma with surgical operation and follow-up data were enrolled. All patients were of Chinese origin. These patients were followed up from the date of resection to the time of death or the time of the last follow-up (December 2013). The median follow-up time was 40 months. A summary of the main clinical features in all patients is listed in Table 2. The median age at diagnosis was 58 years. Of these, 92 patients were male and 91 were female. One hundred and six patients were never smokers. The number of patients with Stages I–IV disease were 85 (46.45%), 33 (18.03%), 65 (35.52%), and 0 (0%), respectively. Eleven patients with Stage IB disease having high-risk factors and all patients with Stages II and III disease were treated with adjuvant chemotherapy after operation. Sixty-one relapsed/metastatic patients received chemotherapy and/or radiation therapy according to patients’ conditions and guidelines. Twenty-five of the 61 patients with EGFR mutations received gefitinib or erlotinib off protocol. Other patients including 14 EGFR mutation-negative patients and 22 patients with unknown EGFR status were not treated with targeted therapy. None of the patients, including the three ROS1-positive cases, received crizotinib.
Table 2

Clinical characteristics of patients with lung adenocarcinoma

CharacteristicAll (n=183)ROS1 fusion
Positive (n=3)Negative (n=180)
Age (years)
 Median (range)58 (33–75)49 (45–55)58 (33–75)
 <60110 (60.11%)3 (100%)107 (59.44%)
 ≥6073 (39.89%)0 (0%)73 (40.56%)
Sex
 Male92 (50.27%)2 (66.67%)90 (50%)
 Female91 (49.73%)1 (33.33%)90 (50%)
Smoking history
 Never106 (57.92%)2 (66.67%)104 (57.78%)
 Ever77 (42.08%)1 (33.33%)76 (42.22%)
Stage
 I85 (46.45%)0 (0%)85 (47.22%)
 II33 (18.03%)0 (0%)33 (18.33%)
 III65 (35.52%)3 (100%)62 (34.44%)
 IV0 (0%)0 (0%)0 (0%)

Comparison of ROS1 IHC, FISH, and RT-PCR

Nine of 183 cases showed some degree of ROS1 protein expression by IHC analysis, and 174 cases showed no ROS1 expression. Four cases showed 3+, three cases showed 2+, and two cases showed 1+ (Figure 1). Among the 183 cases, three cases were both FISH- and RT-PCR-positive for ROS1 rearrangement, and the other 180 cases were both FISH- and RT-PCR-negative (Table 3). Of the three FISH- and RT-PCR-positive cases, two exhibited 3+ IHC staining, and one exhibited 2+ staining. Using FISH as a standard method for ROS1 rearrangement, the sensitivity and specificity of RT-PCR were 100% and 100%, respectively; of IHC with 1+ staining or more, these values were 100% and 96.67%, respectively. If IHC with 2+ and 3+ staining was considered positive, the sensitivity and specificity of ROS1 IHC were 100% and 97.78%, respectively. Finally, we identified these three cases to be positive for ROS1 rearrangement for further analysis.
Figure 1

Detection of ROS1 fusion in lung adenocarcinoma patients by IHC.

Notes: (A) Score 0 showing no staining. (B) Score 1+ showing faint cytoplasmic staining. (C) Score 2+ showing, 50% of tumor cells with moderate staining. (D) Score 3+ showing >50% of tumor cells with strong staining.

Abbreviation: IHC, immunohistochemistry.

Table 3

Comparison of IHC, FISH, and RT-PCR detection for ROS1 rearrangement

Case numberIHCFISHRT-PCR
13+PositivePositive
23+PositivePositive
33+NegativeNegative
43+NegativeNegative
52+PositivePositive
62+NegativeNegative
72+NegativeNegative
81+NegativeNegative
91+NegativeNegative
10–1830NegativeNegative

Abbreviations: IHC, immunohistochemistry; FISH, fluorescence in situ hybridization; RT-PCR, reverse transcription polymerase chain reaction.

ROS1 gene fusions

Three out of 183 (1.64%) patients were positive for ROS1 fusions, as observed through IHC, FISH, and RT-PCR. For FISH-positive cases, one case showed single 3′ signals (green) and two cases showed split red and green signals. For RT-PCR-positive cases, three different fusion patterns were identified: CD74 e6-ROS1 e32, CD74 e6-ROS1 e34, and TPM3 e8-ROS1 e35, respectively (Figure 2).
Figure 2

Representative images of ROS1 sequencing, IHC and FISH results (patient number 3).

Notes: (A) Sequencing of the product from RT-PCR harboring TPM3 e8-ROS1 e35 rearrangement. (B) IHC reveals cytoplasmic ROS1 staining (×400). (C) Break-apart FISH analysis shows single green signal pattern (yellow arrows). Red probes are hybridized to the 5′ region of ROS1 and green probes to the 3′ region.

Abbreviations: IHC, immunohistochemistry; FISH, fluorescence in situ hybridization; RT-PCR, reverse transcription polymerase chain reaction.

Analysis of clinicopathologic features

The clinical features and fusion types of all three ROS1-positive patients are listed in Table 4. All three ROS1-positive patients were younger than 60 years, had EGFR wild type, and had Stage III disease. The pathological type was papillary predominant, solid partial; acinar predominant, solid partial; and invasive mucinous adenocarcinoma, respectively. Two of the three showed relapse or had died within 18 months.
Table 4

Clinical details of patients with ROS1 fusion-positive lung adenocarcinoma (n=3)

Patient numberAge (years)SexSmokingStagePathological typeFusion patternsMetastasis/relapseSurvival statusEGFRRFS (months)OS (months)
149FemaleNeverIIIPapillary predominant, solid partialCD74 e6-ROS1 e32YesDeadWild type1518
255MaleEverIIIAcinar predominant, solid partialCD74 e6-ROS1 e34YesDeadWild type1317
345MaleNeverIIIInvasive mucinous adenocarcinomaTPM3 e8-ROS1 e35NoAliveWild type30+30+

Abbreviations: RFS, relapse-free survival; OS, overall survival.

Survival analyses were carried out in 183 patients. Forty-six (25.14%) death events occurred during the follow-up period, including 44 (24.44%) in ROS1-negative patients and two (66.67%) in ROS1-positive patients. The median OS for ROS1-negative and ROS1-positive patients were 40 and 18 months, respectively. ROS1-negative patients had a significantly longer OS than ROS1-positive patients, with a P-value of 0.022. Univariate analysis (Table 5) identified female sex (P=0.044), Stage I disease (P<0.001), and ROS1-negative status (P=0.022) to be significantly associated with longer OS. For RFS, univariate analysis identified female sex (P=0.004), Stage I disease (P<0.001), and never smoking history (P=0.016) to be significantly associated with longer RFS. Multivariate analysis identified low-stage disease (P<0.001) as being the independent prognostic factor for better OS and RFS.
Table 5

Univariate analyses of prognostic factors in patients with lung adenocarcinoma

VariablesUnivariate P-value
RFSOS
Age <60 vs ≥60 years0.3780.555
Female vs male0.0040.044
Stage I vs II–IV<0.001<0.001
Never smokers vs smokers0.0160.169
ROS1 negative vs positive0.3150.022

Note: Bold entries indicate that the P-value is <0.05.

Abbreviations: RFS, relapse-free survival; OS, overall survival.

Discussion

ROS1 rearrangements have been identified as oncogenes in several tumors, including glioblastoma, cholangiocarcinoma, NSCLC, ovarian cancer, gastric carcinoma, and colorectal cancer,5,6,8,13–15 suggesting that ROS1 is likely to be an effective molecular target in these patients. Targeting ROS1 inhibitors have been used clinically for advanced lung adenocarcinoma, and so the detection of ROS1 rearrangements with appropriate methods to select sensitive patients is suggested. Similar to the detection of ALK rearrangements, three methods, including FISH, IHC, and RT-PCR, were applied to detect ROS1 rearrangement. Each method has its own advantages and disadvantages. To date, the comparison of these three methods in the detection of ROS1 rearrangement is rare.20 In this study, we assessed the values of three methods in the clinical setting and analyzed the clinicopathologic features of ROS1-positive patients with lung adenocarcinoma. In this study, ROS1 rearrangements were identified in three lung adenocarcinoma patients using IHC, FISH, and RT-PCR, with a prevalence of 1.64%. Two of three patients harbored the CD74-ROS1 fusion partner, and the third exhibited TPM3-ROS1. These may represent the most common fusion types of ROS1 rearrangement. ROS1-negative patients had a significantly longer OS than ROS1-positive patients (40 vs 18 months, P=0.022), and this was consistent with the results of a study by Cai et al.12 However, there were only three ROS1-positive cases, more patients with ROS1-positive need to be collected to confirm the conclusion in the future. The break-apart FISH assay is the only assay clinically approved by the FDA to detect ALK-rearranged NSCLC. However, there are advantages and disadvantages to the break-apart FISH assay. FISH could be performed even if the concrete fusion partner is not known, and it has the potential to discover all fusions for ROS1 in NSCLC and other solid tumors. In terms of the interpretation of the results, FISH is more objective than IHC. On the other hand, the FISH assay requires special equipment and a high level of professional knowledge and is more expensive than other assays. These drawbacks limit the application of FISH in all clinical institutions. The RT-PCR assay is easy to perform, highly sensitive, and relatively inexpensive. In addition, RT-PCR can identify concrete fusion partners, which can be confirmed by subsequent sequencing. Therefore, it is an important assay for the detection of ROS1 rearrangement. The drawbacks of RT-PCR are that RNA extraction from FFPE and larger amounts of tissues are required, and false-positives may occur due to its sensitivity. In addition, RT-PCR cannot discover new fusion partners other than known and designed partners. Compared with FISH and RT-PCR, the IHC assay is simple, inexpensive, and conducted in all pathology laboratories. Sholl et al19 analyzed 53 lung adenocarcinoma cases to compare IHC using ROS1 (D4D6) antibody with ROS1 break-apart FISH. They found that ROS1 IHC was 100% sensitive and 92% specific for ROS1 rearrangements by FISH. Rogers et al21 found that the ROS1 IHC antibody (D4D6) had 33.3% sensitivity and 99.7% specificity, when analyzed by FISH in 304 lung cancer samples. In this study, we detected 183 lung adenocarcinoma patients by IHC with anti-ROS1 (D4D6) antibody, FISH with break-apart ROS1 probe, and RT-PCR with known common partner primers. The sensitivity and specificity of ROS1 IHC were 100% and 97.78%, respectively, according to FISH. These results showed that IHC using the ROS1 (D4D6) antibody was highly sensitive and specific for the detection of ROS1 rearrangements in NSCLC, and IHC was a fast screening test for low incidence but clinically significant genetic translocations in tumors. In our study, six cases with IHC positivity were negative for FISH and RT-PCR. The reason might be that a mechanism other than ROS1 rearrangement leads to ROS1 protein expression. Lee et al22 found that promoter hypomethylation was able to activate ROS1 in NSCLC, suggesting epigenetic changes were relevant to ROS1 expression. ROS1 copy number gain may be another mechanism of ROS1 expression. Lee et al22 identified one-lung adenocarcinoma case with ROS1 copy number gain and strong ROS1 expression in primary and corresponding metastatic tumors. However, Jin et al23 reported that there was no statistically significant correlation between ROS1 copy number gain and protein overexpression in NSCLC. Further researches are needed to elucidate other mechanisms for ROS1 expression. In addition to FISH, RT-PCR, and IHC, with the development of next-generation sequencing (NGS) technology, NGS has been introduced to detect multiple alterations in lung cancer genes simultaneously.24–26 Drilon et al25 retested 31 patients with lung adenocarcinoma with a broad, hybrid capture-based NGS assay. These patients were previously assessed “negative” for alterations in eleven genes (including ROS1) via multiple non-NGS methods. Among the genomic alterations uncovered by NGS, CD74-ROS1 was identified in one patient. Peled et al27 described an NSCLC patient who was detected negative for ALK rearrangement by FISH but had a complex ALK rearrangement by NGS analysis. The patient responded to crizotinib. Therefore, NGS is a sensitive and high-throughput method to detect genes alterations including ROS1 rearrangement compared to FISH and is being increasingly used in clinical molecular testing in lung cancer. Bergethon et al8 examined ROS1 rearrangement in a multicenter cohort of 1,073 NSCLC patients with a prevalence of 1.7% and defined this molecular subset of NSCLC in patients of younger age, those with never-smoking history, adenocarcinoma, and higher grade cancer. Yoshida et al28 identified 15 ROS1-positive patients from 799 NSCLC cases, with a prevalence of 1.9%. The ROS1-positive patients were often younger nonsmoking female individuals with adenocarcinomas. Zhu et al29 performed a meta-analysis to analyze the clinicopathologic characteristics of NSCLC patients harboring ROS1 rearrangements. Pooled results showed that significantly higher rate of ROS1 rearrangement was detected in female patients, nonsmoking patients, adenocarcinoma, and patients with Stages III–IV disease. We identified three patients with ROS1 rearrangement from 183 Chinese lung adenocarcinoma patients with operation and follow-up data, with a prevalence of 1.64%. The ages of the three patients were 49, 55, and 45 years, respectively, and they tended to be younger. Only one patient had ever smoked. Three patients presented with Stage III disease. The clinical features of ROS1-positive patients in our study were consistent with the studies by Bergethon et al,8 Yoshida et al,28 and Zhu et al.29 Davies et al9 found that five out of 428 (1.2%) Caucasian patients with NSCLC were positive for ROS1 rearrangement in Italy. These suggest no significant ethnic difference in the prevalence of ROS1 rearrangement. The tyrosine kinase domain of ROS1 has a similar homology to ALK, and crizotinib, which has been approved for the treatment of ALK-positive NSCLC, has been explored as a therapeutic agent. In addition to crizotinib, the use of several potent ROS1 inhibitors for therapy has been studied. Awad et al30 reported that a patient with CD74-ROS1 fusion acquired resistance to crizotinib due to mutation of G2032R in the ROS1-kinase domain. Foretinib (GSK1363089), a multikinase inhibitor effective for MEF/VEGFR2, is a potent ROS1 inhibitor in vitro and in vivo and remains sensitive to crizotinib-resistant ROS1 kinase domain mutations.31 AP26113, an oral ALK/EGFR inhibitor, can inhibit the activity of ROS1 fusion in vitro, and an ongoing Phase I/II trial (NCT01449461) plans to recruit ROS1-positive NSCLC patients.32 PF-06463922, an ALK/ROS1 inhibitor, showed efficacy in crizotinib-resistant tumors in mouse models and is in Phase I/II trial (NCT01970865). A Phase I/II trial (NCT01712217) combining the HSP90 inhibitor AT13387 with crizotinib is recruiting ALK- and ROS1-positive NSCLC patients who progressed while on crizotinib. In conclusion, IHC, FISH, and RT-PCR are all effective methods for the detection of ROS1 rearrangement, with different advantages and disadvantages. CD74 e6-ROS1 e32, CD74 e6-ROS1 e34, and TPM3 e8-ROS1 e35 may be common ROS1 fusion types. IHC would be a useful routine screening method in pathology laboratories. The fact that 1.64% of cases of lung adenocarcinoma harbored the ROS1 fusion in Chinese patients suggests no regional prevalence of ROS1 rearrangements. Patients with ROS1 rearrangements were younger and had higher stage disease and shorter RFS and OS. Whether ROS1 positivity is an independent prognostic factor and whether different rearrangement types correlated with different responses to targeted therapy need to be further investigated.
  30 in total

1.  Expression and rearrangement of the ROS1 gene in human glioblastoma cells.

Authors:  C Birchmeier; S Sharma; M Wigler
Journal:  Proc Natl Acad Sci U S A       Date:  1987-12       Impact factor: 11.205

2.  The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification.

Authors:  William D Travis; Elisabeth Brambilla; Andrew G Nicholson; Yasushi Yatabe; John H M Austin; Mary Beth Beasley; Lucian R Chirieac; Sanja Dacic; Edwina Duhig; Douglas B Flieder; Kim Geisinger; Fred R Hirsch; Yuichi Ishikawa; Keith M Kerr; Masayuki Noguchi; Giuseppe Pelosi; Charles A Powell; Ming Sound Tsao; Ignacio Wistuba
Journal:  J Thorac Oncol       Date:  2015-09       Impact factor: 15.609

3.  ROS1 rearrangements define a unique molecular class of lung cancers.

Authors:  Kristin Bergethon; Alice T Shaw; Sai-Hong Ignatius Ou; Ryohei Katayama; Christine M Lovly; Nerina T McDonald; Pierre P Massion; Christina Siwak-Tapp; Adriana Gonzalez; Rong Fang; Eugene J Mark; Julie M Batten; Haiquan Chen; Keith D Wilner; Eunice L Kwak; Jeffrey W Clark; David P Carbone; Hongbin Ji; Jeffrey A Engelman; Mari Mino-Kenudson; William Pao; A John Iafrate
Journal:  J Clin Oncol       Date:  2012-01-03       Impact factor: 44.544

4.  Clinical application of amplicon-based next-generation sequencing to therapeutic decision making in lung cancer.

Authors:  M Takeda; K Sakai; M Terashima; H Kaneda; H Hayashi; K Tanaka; K Okamoto; T Takahama; T Yoshida; T Iwasa; T Shimizu; Y Nonagase; K Kudo; S Tomida; T Mitsudomi; K Saigo; A Ito; K Nakagawa; K Nishio
Journal:  Ann Oncol       Date:  2015-09-29       Impact factor: 32.976

5.  ROS1 gene rearrangement and copy number gain in non-small cell lung cancer.

Authors:  Yan Jin; Ping-Li Sun; Hyojin Kim; Eunhyang Park; Hyo Sup Shim; Sanghoon Jheon; Kwhanmien Kim; Choon-Taek Lee; Jin-Haeng Chung
Journal:  Virchows Arch       Date:  2014-11-06       Impact factor: 4.064

6.  Clinicopathologic characteristics of patients with ROS1 fusion gene in non-small cell lung cancer: a meta-analysis.

Authors:  Qingqing Zhu; Ping Zhan; Xinlin Zhang; Tangfeng Lv; Yong Song
Journal:  Transl Lung Cancer Res       Date:  2015-06

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.  RET, ROS1 and ALK fusions in lung cancer.

Authors:  Kengo Takeuchi; Manabu Soda; Yuki Togashi; Ritsuro Suzuki; Seiji Sakata; Satoko Hatano; Reimi Asaka; Wakako Hamanaka; Hironori Ninomiya; Hirofumi Uehara; Young Lim Choi; Yukitoshi Satoh; Sakae Okumura; Ken Nakagawa; Hiroyuki Mano; Yuichi Ishikawa
Journal:  Nat Med       Date:  2012-02-12       Impact factor: 53.440

9.  Chromosome 3 anomalies investigated by genome wide SNP analysis of benign, low malignant potential and low grade ovarian serous tumours.

Authors:  Ashley H Birch; Suzanna L Arcand; Kathleen K Oros; Kurosh Rahimi; A Kevin Watters; Diane Provencher; Celia M Greenwood; Anne-Marie Mes-Masson; Patricia N Tonin
Journal:  PLoS One       Date:  2011-12-06       Impact factor: 3.240

10.  Detection of ROS1 gene rearrangement in lung adenocarcinoma: comparison of IHC, FISH and real-time RT-PCR.

Authors:  Ling Shan; Fang Lian; Lei Guo; Tian Qiu; Yun Ling; Jianming Ying; Dongmei Lin
Journal:  PLoS One       Date:  2015-03-05       Impact factor: 3.240

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  13 in total

1.  Screening for ROS1 gene rearrangements in non-small-cell lung cancers using immunohistochemistry with FISH confirmation is an effective method to identify this rare target.

Authors:  Christina I Selinger; Bob T Li; Nick Pavlakis; Matthew Links; Anthony J Gill; Adrian Lee; Stephen Clarke; Thang N Tran; Trina Lum; Po Y Yip; Lisa Horvath; Bing Yu; Maija R J Kohonen-Corish; Sandra A O'Toole; Wendy A Cooper
Journal:  Histopathology       Date:  2016-11-15       Impact factor: 5.087

Review 2.  Lung Cancer Biomarkers.

Authors:  Pamela Villalobos; Ignacio I Wistuba
Journal:  Hematol Oncol Clin North Am       Date:  2017-02       Impact factor: 3.722

3.  A Single-Institute Experience with C-ros Oncogene 1 Translocation in Non-Small Cell Lung Cancers in Taiwan.

Authors:  Hsiang-Sheng Wang; Chien-Ying Liu; Sheng-Chi Hsu; Shih-Chiang Huang; Tsai-Hsien Hung; Kwai-Fong Ng; Tse-Ching Chen
Journal:  Int J Mol Sci       Date:  2022-05-21       Impact factor: 6.208

Review 4.  Immunohistochemistry for predictive biomarkers in non-small cell lung cancer.

Authors:  Mari Mino-Kenudson
Journal:  Transl Lung Cancer Res       Date:  2017-10

Review 5.  Testing for ROS1 in non-small cell lung cancer: a review with recommendations.

Authors:  Lukas Bubendorf; Reinhard Büttner; Fouad Al-Dayel; Manfred Dietel; Göran Elmberger; Keith Kerr; Fernando López-Ríos; Antonio Marchetti; Büge Öz; Patrick Pauwels; Frédérique Penault-Llorca; Giulio Rossi; Aleš Ryška; Erik Thunnissen
Journal:  Virchows Arch       Date:  2016-08-17       Impact factor: 4.064

Review 6.  Targeting Novel but Less Common Driver Mutations and Chromosomal Translocations in Advanced Non-Small Cell Lung Cancer.

Authors:  Alia Daoud; Quincy S Chu
Journal:  Front Oncol       Date:  2017-09-29       Impact factor: 6.244

Review 7.  Detection of ROS1 rearrangement in non-small cell lung cancer: current and future perspectives.

Authors:  Giulio Rossi; Genny Jocollé; Antonia Conti; Marcello Tiseo; Federica Zito Marino; Giovanni Donati; Renato Franco; Francesca Bono; Francesca Barbisan; Francesco Facchinetti
Journal:  Lung Cancer (Auckl)       Date:  2017-07-07

8.  Crizotinib presented with promising efficacy but for concomitant mutation in next-generation sequencing-identified ROS1-rearranged non-small-cell lung cancer.

Authors:  Liang Zeng; Yizhi Li; Lili Xiao; Yi Xiong; Li Liu; Wenjuan Jiang; Jianfu Heng; Jingjing Qu; Nong Yang; Yongchang Zhang
Journal:  Onco Targets Ther       Date:  2018-10-15       Impact factor: 4.147

9.  High feasibility of cytological specimens for detection of ROS1 fusion by reverse transcriptase PCR in Chinese patients with advanced non-small-cell lung cancer.

Authors:  Limin Zhang; Yan Wang; Chao Zhao; Jinpeng Shi; Sha Zhao; Xiaozhen Liu; Yijun Jia; Tao Zhu; Tao Jiang; Xuefei Li; Caicun Zhou
Journal:  Onco Targets Ther       Date:  2019-05-01       Impact factor: 4.147

Review 10.  ROS1-dependent cancers - biology, diagnostics and therapeutics.

Authors:  Alexander Drilon; Chelsea Jenkins; Sudarshan Iyer; Adam Schoenfeld; Clare Keddy; Monika A Davare
Journal:  Nat Rev Clin Oncol       Date:  2020-08-05       Impact factor: 66.675

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