Literature DB >> 24504365

RET-rearranged non-small-cell lung carcinoma: a clinicopathological and molecular analysis.

K Tsuta1, T Kohno2, A Yoshida1, Y Shimada3, H Asamura4, K Furuta1, R Kushima1.   

Abstract

BACKGROUND: To elucidate clinicopathological characteristics of non-small-cell lung carcinoma (NSCLC) cases carrying RET rearrangements causing oncogenic fusions to identify responders to therapy with RET tyrosine kinase inhibitors.
METHODS: We investigated 1874 patients with carcinomas, including 1620 adenocarcinomas (ADCs), 203 squamous cell carcinomas (SCCs), 8 large cell carcinomas, and 43 sarcomatoid carcinomas (SACs). Fluorescence in situ hybridisation (FISH) and/or reverse transcription-PCR (RT-PCR) were performed to detect RET gene rearrangement.
RESULTS: In all, 22 cases (1.2%) showed RET rearrangements; all cases were of ADC histology. Of the 22 patients, 19 possessed KIF5B-RET fusion genes, whereas 3 possessed CCDC6-RET fusion genes. The RET-rearranged tumours were significantly more common in younger patients (P=0.038) and tended to occur in patients with no history of smoking (P=0.051). In addition, RET rearrangements were not associated with gender, occupational history (particularly radioactive exposure), tumour size, lymph node status, tumour stage, or patient survival. The predominant growth pattern in RET-rearranged ADCs was lepidic in 6 cases, papillary in 9 cases, acinar in 2 cases, micropapillary in 1 case, and solid in 4 cases. Cells with cytoplasmic mucin production were at least focally present in 12 of the 22 (54.5%) RET-rearranged ADC cases. Among the 21 analysed RET-rearranged tumours, RET immunopositivity was observed in 15 cases (71.4%), and was significantly associated with RET rearrangement (P<0.001).
CONCLUSIONS: The RET rearrangements were observed in 1.2% of NSCLCs. All cases of RET rearrangement were ADCs. The RET rearrangements were more likely to be observed in younger patients. Although cytoplasmic mucin production was at least focally present in 54.5% of RET-rearranged ADCs, specific histological features were not detected.

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Year:  2014        PMID: 24504365      PMCID: PMC3960615          DOI: 10.1038/bjc.2014.36

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


After the discovery of crucial ‘driver' oncogenic mutations in the epidermal growth factor receptor (EGFR) gene, the EGFR tyrosine kinase inhibitor (TKI) was found to improve survival in non-small-cell lung carcinoma (NSCLC) patients possessing an EGFR mutation (Lynch ; Paez ; Pao ). A genomic alteration involving the transforming fusion gene joining the echinoderm microtubule-associated protein-like 4 gene (EML4) and the anaplastic lymphoma kinase gene (ALK) was identified in 3–13% of patients with NSCLC (Soda ; Koivunen ; Yoshida ). A dramatic response has been observed in patients with ALK rearrangements under treatment with an ALK TKI crizotinib (PF-02341066) during a recent clinical trial (Kwak ). The rearranged during transfection (RET) proto-oncogene encodes a receptor tyrosine kinase for members of the glial cell line-derived neurotrophic factor family of extracellular signalling molecules (Knowles ). This proto-oncogene is involved in the growth and differentiation of neural crest-derived tissues (Pachnis ). Chromosomal rearrangements that generate a fusion gene consisting of the juxtaposition of the C-terminal region of the RET protein with the N-terminal portion of another protein can also lead to constitutive activation of the RET kinase. The RET gene rearrangements, as represented by papillary thyroid carcinoma (PTC), were most often observed as coiled-coil domain containing 6 (CCDC6)–RET (PTC1) (Grieco ) and nuclear receptor coactivator 4 (NCOA4)–RET (PTC3) fusion genes (Santoro ). Several investigators, including the authors of the present study, have simultaneously reported on a novel fusion gene comprising parts of the kinesin family member 5B gene (KIF5B) and the RET gene in lung carcinoma (Ju ; Kohno ; Lipson ; Takeuchi ). Subsequently, other fusion partners of the RET genes CCDC6, NCOA4, and tripartite motif-containing 33 (TRIM33) were identified in NSCLCs (Wang ; Drilon ). These fusion transcripts were detected in 0.6–10% of pulmonary adenocarcinomas (ADCs). Notably, NSCLC cases that are positive for RET fusions have shown responses against existing RET TKIs, including cabozantinib and vandetanib (Drilon ; Gautschi ). Therefore, it is important to understand the clinicopathological characteristics of patients with RET fusion-positive NSCLCs for improved selection of patients who are likely to benefit from anti-RET therapy. In this study, we analysed RET fusions by fluorescence in situ hybridisation (FISH) combined with reverse transcription–PCR (RT–PCR) and RNA sequencing data from a large cohort (n=1874) and investigated distinct clinicopathological characteristics of RET fusion-positive cases.

Materials and methods

Case selection

The institutional review board of our hospital approved the study (2010-0077). The specimens used in this study were isolated from 1927 patients who underwent lung resection for ADC, squamous cell carcinoma (SCC), large cell carcinoma (LCC), or sarcomatoid carcinoma (SAC) at the National Cancer Center Hospital (Tokyo, Japan). We collected each patient's age, gender, smoking history, outcome, maximum tumour size (in cm), and pathologic stage (in p-stage). Staging was based on the tumour–necrosis–metastasis (TNM) classification (7th edition; Goldstraw, 2009). Among patients with RET rearrangements, we recorded the patients' occupational histories with particular reference to radioactive exposure.

Histological analysis

Histological diagnoses were based on the most recent World Health Organisation classification (Travis ). Among all ADC cases, the predominant histological patterns were classified based on the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) (Travis ). In addition, in order to determine whether RET-rearranged lung cancer has any of the specific histological features described in prior reports (Wang ), we performed a detailed histological analysis as follows: (1) the prevalent cytological feature (i.e., Clara/type II pneumocyte, columnar cell, or polygonal cell); (2) the presence of intracytoplasmic mucin production and mucinous cribriform pattern; and (3) the presence of intranuclear inclusion among 22 cases of RET-rearranged lung cancer.

Immunohistochemistry

For RET immunohistochemical staining, heat-induced epitope retrieval with Target Retrieval Solution (Dako Corporation, Carpinteria, CA, USA) was performed. The slides were subsequently incubated with primary antibodies against RET (EPR2871; 1 : 250 dilution; Epitomics, Burlingame, CA, USA). Immunoreactions were detected using EnVision-FLEX and LINKER (Dako). Immunopositive cases were defined as those showing cytoplasmic and/or membranous staining in ⩾10% of cells. We then divided the immunopositive cases into membrane staining-only and cytoplasmic-staining cases (irrespective of any membranous staining). For the RET-rearranged NSCLCs, we performed immunohistochemical analysis to exclude metastatic thyroid carcinoma (see Supplementary Table 1).

FISH analysis for RET rearrangements

First, we performed using a dual-colour break-apart probe for the RET gene (Supplementary Table 2; Chromosome Science Labo, Inc., Sapporo, Japan). Among RET gene break-apart probe-positive cases, we next performed using break-apart probes for both KIF5B and CCDC6. A total of 50 non-overlapping tumour cells with hybridisation signals examined for each case were captured using the Metafer Slide Scanning Platform (MetaSystems, Altlussheim, Germany). The signal in each cell was categorised into one of the following seven patterns: (1) fused 3′/5′ only; (2) fused 3′/5′ and both isolated 3′ and 5′ (split); (3) both isolated 3′ and 5′ (split) only; (4) fused 3′/5′ and isolated 5′ (5) fused 3′/5′ and isolated 3′ (6) isolated 5′ only; and (7) isolated 3′ only. A split signal was defined by 5′ and 3′ probes observed at a distance of greater than one-fold the signal size. A FISH-positive case was defined as ⩾20% of tumour cells having any split signals or any isolated 3′ (red) signals. The threshold for the RET gene was determined in 27 cases, yielding both FISH and previously reported RNA sequence data (Kohno ) (Supplementary Figure 1).

RT–PCR analysis

Total RNA (500 ng) was reverse-transcribed onto cDNA using Superscript III Reverse Transcriptase (Invitrogen, Carlsbad, CA, USA). Complementary DNA (corresponding to 10 ng total RNA) was subjected to multiplex PCR amplification using KAPA Taq DNA Polymerase (KAPA Biosystems, Woburn, MA, USA) and four primers (detection set in Supplementary Table 3). This PCR enabled the detection of all KIF5B/CCDC6-RET fusion variants identified to date. The reactions were conducted in a thermal cycler under the following conditions: 40 cycles of 95 °C for 30 s, 60 °C for 30 s, and 72 °C for 2 min, with a final extension cycle for 10 min at 72 °C. The housekeeping gene encoding glyceraldehyde-3-phosphate dehydrogenase was amplified to estimate the efficiency of cDNA synthesis. The PCR products were subjected to agarose gel electrophoresis. When visible bands were detected, the cDNA samples were further subjected to validation PCR (validation set in Supplementary Table 3). When visible bands were detected, the PCR products were subjected to Sanger sequencing in both directions by using the BigDye Terminator kit (Invitrogen) and an ABI 3130xl DNA Sequencer (Applied Biosystems, Foster City, CA, USA). The PCR primers used in the present study are shown in Supplementary Table 3. We defined the cases with RET rearrangement that were RT–PCR-positive or RET break-apart probe-positive as well as cases that were KIF5B break-apart probe-positive or CCDC6 break-apart probe-positive in the absence of RT–PCR data.

Analysis of EGFR mutational status and ALK rearrangement

We detected two common EGFR mutations (deletions in exon 19 (DEL) and a point mutation at codon 858 in exon 21 (L858R)) by using high-resolution melting analysis (Fukui ). The ALK rearrangement was analysed by immunohistochemistry, RT–PCR, and/or FISH assay (Yoshida ).

Statistical analysis

Statistical analysis was performed using SPSS Statistics 21 software (IBM Corporation, Somers, NY, USA). Student's t-test was used to analyse continuous variables and χ2 tests were used to analyse categorical variables. Overall survival (OS) curves were calculated using the Kaplan–Meier method. Curves were compared using the log-rank test. Univariate survival analysis was performed using a log-rank test. Statistical significance was set at P<0.05.

Results

Clinicopathological background

Among the 1927 cases investigated, 53 cases were excluded because they lacked RT–PCR data and the FISH analysis failed. Therefore, the final cohort included 1874 cases: 1620 ADCs (56 in situ, 41 microinvasive, 366 lepidic-predominant, 179 acinar-predominant, 577 papillary-predominant, 101 micropapillary-predominant, 236 solid-predominant, and 64 invasive mucinous), 203 SCCs, 8 LCCs, and 43 SACs. Among the 1620 ADC cases, 830 cases consisted of consecutively resected cases from 1998 to 2002 (Supplementary Figure 2). Background clinicopathological data are displayed in Table 1. Because lymph node status was recorded in 1860 cases (99.3%), pathological staging was performed in 1860 cases. The mean follow-up time for all 1874 patients was 62.3 months (range, 0.1–163 months), with 1292 patients still alive at follow-up.
Table 1

Clinicopathologic factors of RET-rearranged lung carcinomas

 Total
RET rearrangement
 1874Negative (%)Positive (%)P-value
Age (year)
Median63.163.257.50.038
Range
23–89
23–89
28–78
 
Gender
Female809798 (43.1)11 (50)0.524
Male
1065
1054 (56.9)
11 (50)
 
Smoking
Never867852 (46.1)15 (68.2)0.051
Former/current
1007
1000 (53.9)
7 (31.8)
 
Tumour size (cm)
Median3.03.02.80.598
Range
0.4–17.5
0.4–17.5
1.4–8.0
 
N status
Negative13771362 (74.1)15 (68.2)0.624
Positive
483
475 (25.9)
7 (31.8)
 
p-Stage
I+II14961480 (80.5)16 (72.7)0.189
III+IV
364
358 (19.5)
6 (27.3)
 
Histology
ADC16201598 (86.3)220.322
SQC203203 (11.0)0 
LCC88 (0.4)0 
SAC
43
43 (2.3)
0
 
RET immunostaining
Negative 1527 (86.1)7 (33.3)<0.001
Positive 247 (13.9)14 (66.7) 

Abbreviations: ADC=adenocarcinoma; LCC=large cell carcinoma; RET=rearranged during transfection; SAC=sarcomatoid carcinoma; SQC = squamous cell carcinoma.

RET FISH and RT–PCR

Among the 1874 cases investigated, 1823 cases yielded break-apart FISH data, 477 cases yielded RT–PCR data, and 456 cases yielded both FISH and RT–PCR data. Fifty (2.7%) cases were RET break-apart probe positive cases (Figure 1). The RT–PCR analysis of 29 of the 50 FISH-positive cases for which RNAs were available verified that 14 (44.8%) cases possessed the KIF5BRET fusion and 2 possessed the CCDC6RET fusion. The most prevalent variant of KIF5BRET was variant K15;R12 (10/14; 71.4%), whereas the other variants were observed in 1 case each (7.1% each; Supplementary Table 4). On the other hand, RT–PCR results were negative for all 406 FISH-negative cases. Based on these RT–PCR data, the split signal sensitivity and specificity was 100% and 44.8%, respectively. The average FISH split signal for RT–PCR-positive and -negative cases was 40.9% (range, 22–72) and 7.4% (range, 0–40), respectively (P<0.001). Among the 50 RET break-apart probe-positive cases, 13 out of the 40 analysed cases were confirmed to be KIF5B break-apart probe-positive cases and 3 out of the 46 analysed cases were confirmed to be CCDC6 break-apart probe-positive cases. In conjunction with RT–PCR data, 19 cases with KIF5BRET rearrangement and 3 cases with CCDC6RET rearrangement were detected (Supplementary Table 4).
Figure 1

Representative image of fluorescence White arrows indicate split red–green signals. A full colour version of this figure is available at the British Journal of Cancer journal online.

Clinical characteristics of patients with RET-rearranged NSCLCs

Based on the aforementioned FISH and RT–PCR data, 22 of the 1874 cases (1.2%) were considered to be RET rearrangements. The clinical characteristics of patients with RET-rearranged NSCLCs are displayed in Table 1 and Supplementary Table 4. Among 22 cases with RET rearrangements, 6 cases were reported previously (case nos. 2, 4, 7, 12, 14, and 15) (Kohno ). All RET-rearranged cases were ADCs. When analysing consecutively resected ADC cases alone, RET rearrangements were observed in 7 of 830 ADC cases (0.8%). Of the 22 RET-rearranged cases, 19 (86%) possessed KIF5BRET and 3 (14%) had CCDC6RET fusions. The RET-rearranged tumours were significantly more common in younger patients (P=0.026) and tended to occur in patients with no history of smoking (P=0.051). The RET rearrangements were not associated with gender, smoking status, tumour size, tumour stage, or lymph node status. Clinical records revealed that there were no patient histories of occupational exposure to radioactivity (Supplementary Table 5). Among the 1874 cases examined, EGFR mutation was observed in 663 of the 1585 analysed cases (42.7%), and ALK rearrangement was observed in 55 of the 1860 analysed cases (3.0% Table 1). All cases were detected exclusively with additional driver genetic changes (i.e., RET, EGFR, and ALK).

Histological and immunohistochemical characteristics of patients with RET-rearranged NSCLCs

Histological findings are summarised in Table 2. The predominant growth pattern was lepidic in 6 cases, papillary in 9 cases, acinar in 2 cases, micropapillary in 1 case, and solid in 4 cases (Figures 2A and B). Focal lepidic, papillary, acinar, micropapillary, and solid patterns were observed in 16, 20, 16, 10, and 7 cases, respectively.
Table 2

Pathological, cytological, and immunohistological features for RET-rearranged cases

  Histologic patternCytological featuresImmunohistochemical results
No
Fusion partner
Predominant
LEP
PAP
ACI
MPC
SOL
Cell type
Mucin production
Nuclear inclusion
SRC
M-Crib
RET
Staining pattern
TTF-1
Napsin A
PAX8
Thyroglobulin
1
KIF5B
MPC
2
3
1
4
0
Type II
+



Pos
C
Pos
Neg
Neg
Neg
2
KIF5B
LEP
8
2
0
0
0
Type II

+


Pos
C
Pos
Pos
Neg
Neg
3
KIF5B
ACI
0
1
6
0
3
Polygonal
+



Pos
C
Pos
Pos
Neg
Neg
4
KIF5B
LEP
5
3
1
1
0
Type II

+


Pos
C
Pos
Pos
Neg
Neg
5
KIF5B
PAP
3
6
0
1
0
Type II

+


Pos
C
Pos
Pos
Neg
Neg
6
KIF5B
PAP
0
4
2
4
0
Columnar
+



Pos
C
Pos
Pos
Neg
Neg
7
KIF5B
ACI
3
2
5
0
0
Type II
+

+

Pos
C
Pos
Pos
Neg
Neg
8
KIF5B
PAP
1
4
3
0
2
Columnar




Neg

Pos
Pos
Neg
Neg
9
KIF5B
PAP
1
4
2
3
0
Columnar
+

+
+
Neg

Pos
Pos
Neg
Neg
10
KIF5B
LEP
8
2
0
0
0
Type II

+


Neg

Pos
Pos
Neg
Neg
11
KIF5B
PAP
2
6
1
1
0
Type II

+


Pos
C
Pos
Pos
Neg
Neg
12
KIF5B
PAP
3
6
0
0
0
Type II

+


Pos
C
Pos
Pos
Neg
Neg
13
KIF5B
PAP
4
5
0
0
0
Type II




Neg

Pos
Pos
Neg
Neg
14
KIF5B
LEP
5
4
0
1
0
Type II
+
+


Pos
C
Pos
Pos
Neg
Neg
15
KIF5B
PAP
0
4
3
3
0
Type II
+

+
+
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
16
KIF5B
SOL
0
2
3
0
5
Polygonal
+



Pos
C
Pos
Pos
Neg
Neg
17
KIF5B
SOL
1
2
1
1
5
Polygonal
+



Pos
C
Pos
Pos
Neg
Neg
18
KIF5B
PAP
2
3
2
2
1
Polygonal
+

+

Pos
C
Pos
Neg
Neg
Neg
19
KIF5B
LEP
8
0
2
0
0
Type II

+


Neg

Pos
Pos
Neg
Neg
20
CCDC6
LEP
5
4
1
0
0
Type II

+


Neg
 
Pos
Pos
Neg
Neg
21
CCDC6
SOL
0
0
1
0
9
Polygonal
+

+

Pos
C
Pos
Pos
Neg
Neg
22CCDC6SOL01405Columnar+++PosCPosPosNegNeg

Abbreviations: ACI=acinar; C=cytoplasmic; CCDC6=coiled-coil domain containing 6; KIF5B=kinesin family member 5B; LEP=lepidic; M=membranous; M-Crib=mucinous cribriform, MPC=micropapillary; #N/A=not assessed; Neg=negative; PAP=papillary; PAX8=paired box gene 8; Pos=positive; RET=rearranged during transfection; SOL=solid; SRC=signet-ring cell; TTF-1=thyroid transcription factor-1.

Case numbers 2, 4, 7, 12, 14, and 15 were reported previously and have been highlighted in bold.

Figure 2

Representative images of (A and B) Many RET-rearranged adenocarcinomas displayed a papillary growth pattern (A: low magnification, and B: high magnification). (C) Solid signet-ring cell pattern was observed in a minority of RET-rearranged adenocarcinoma (original magnification × 200). (D) Some tumour cells displayed homogeneously eosinophilic-to-pale inclusions in the nuclei (original magnification × 200).

The predominant cell type was Clara/type II in 13 cases, columnar in 4 cases, and polygonal in 5 cases. Cells with cytoplasmic mucin production were at least focally present in 12 of the 22 (54.5%) RET-rearranged ADC cases. The presence of signet-ring (Figure 2C) or mucinous cribriform patterns were only observed in 27.3% and 13.6% of cases, respectively. The nuclear inclusion was at least focally present in 9 of the 22 (40.9%) RET-rearranged ADC cases (Figure 2D).

RET protein expression by immunohistochemistry

The RET expression was observed in 261 of the 1795 (14.5%) NSCLCs evaluated (Figure 3). The RET-immunopositive cases were significantly associated with histological subtype (P<0.001); 255 of the 1543 ADCs (16.5%), 1 of the 201 SCCs (0.5%), none of the 8 LCCs, and 5 of the 43 SACs (11.6%). The RET-immunopositive tumours were more commonly associated with younger patients (P=0.006), patients with no history of smoking (P=0.007), lymph node metastasis (P<0.001), and higher pathological stages (P=0.001) compared with RET-immunonegative tumours.
Figure 3

Representative images of RET-immunostaining positivity in a Diffuse, fine granular cytoplasmic staining was observed in the adenocarcinoma component, as shown in the left part of the figure, whereas negative signals were observed in nontumourous areas, as shown in the right part of the figure (original magnification × 400).

Among RET-rearranged cases, RET immunopositivity was observed in 14 of the 21 cases (66.7%) analysed with immunohistochemistry. Although RET immunoreactivity was significantly associated with RET rearrangement (P<0.001), its test performance was poor with 66.7% sensitivity and 86.1% specificity (Table 1). Upon classification of the staining pattern of 261 RET-immunopositive cases, we observed that 158 cases (60.5%) displayed cytoplasmic staining, irrespective of membrane staining, and 103 cases (39.5%) displayed only membrane staining. All RET-immunopositive cases with RET-rearrangement displayed cytoplasmic staining. Among the 151 cytoplasmic staining cases, the detection rate for RET-rearranged cases increased from 5.4 to 9.9%.

Survival analysis

We investigated the existence of an association between patient OS and RET gene rearrangement. Follow-up data were available for all 1874 patients for a median of 62.3 months (range, 0.1−162.8 months). The RET gene rearrangement was not associated with OS in any of the cases analysed, among all cases (P=0.456; Figure 4A), among ADC-only cases, (P=0.611, Figure 4B), or among consecutively resected ADC cases (P=251, Figure 4C).
Figure 4

Overall survival analysis in (A) The overall survival curves for patients with RET-rearranged (green line) and RET-wild-type (blue line) non-small-cell lung carcinomas (P=0.9613). (B) The overall survival curves for patients with RET-rearranged (green line) and RET-wild-type (blue line) adenocarcinoma (P=0.9665). (C) The overall survival curves for patients with RET-rearranged (green line) and RET-wild-type (blue line) consecutively resected adenocarcinoma (P=0.547). A full colour version of this figure is available at the British Journal of Cancer journal online.

Discussion

We observed that ∼1.2% of NSCLC cases harboured RET rearrangements, all of which were ADCs, whereas neither SCCs, SACs, nor LCCs harboured this rearrangement. The prevalence of RET rearrangements (1.2%) in our cohort was in line with the range of results reported previously (0.6–10%) (Ju ; Kohno ; Lipson ; Suehara ; Takeuchi ; Wang ). The prevalence rate is considered to be affected by the specific case selection, such as that collected by known gene alterations in the negative cohort. In the subgroup of consecutively resected ADC cases, the frequency of RET rearrangements was only 0.9%. Patients with RET rearrangements displayed nearly equivalent gender distributions, were relatively younger in age, and had no history of smoking compared with patients without RET rearrangements. The young age of onset and non-smoking history in RET-rearranged NSCLCs is reminiscent of the patient characteristics of ALK-rearranged NSCLCs (Shaw ). However, other investigators have observed no statistical differences in age, gender, smoking history, or tumour stage between RET-rearranged ADC and wild-type RET ADCs (Wang ). As is well known in PTC, RET gene fusions are associated with radiation exposure (Nikiforov and Nikiforova, 2011). However, no exposure to radioactivity was detected in either the current or previously reported RET-rearranged NSCLCs (Suehara ). Consistent with previous studies, RET rearrangements were more common in ADCs. Wang ) also reported RET rearrangements in two cases of adenosquamous carcinomas. There have been no reported RET rearrangements in SQC, LCC, or SAC tumours. Based on IASLC/ATS/ERS classification, we and other investigators have reported on the association between papillary growth pattern and RET rearrangement (Suehara ; Yokota ). Recently, Wang ) reported that a solid pattern was most prevalent in RET-rearranged ADCs, with signet-ring cells also frequently observed (36.4%). In this study, although cytoplasmic mucin was present, at least focally, in the majority (59%) of cases, signet-ring cells were observed in only 27% of cases. Of note, the mucinous cribriform pattern – another characteristic morphology associated with ALK- and ROS1-rearranged lung cancers (Yoshida , 2013) – was also infrequently observed (13.6%) in the present cohort. Determining the gold standard for FISH specificity is challenging, because there may be an unknown fusion partner in FISH-positive cases that could be detectable with RT–PCR or FISH for fusion probes. Therefore, in order to yield a more precise cutoff value for break-apart FISH probes, we used previously reported RNA sequence data as the gold standard. In the present study, FISH analysis with a break-apart probe of the RET gene is highly sensitive (100% sensitivity), but unlikely to be sufficient to define RET-positive cases because of the potential for false positivity (58%) based on RT–PCR or break-apart FISH probes for known partners. Compared with the false-positive rate in our study, a slightly lower rate (41%) for RET break-apart FISH results has been reported with an alternate probe design (Takeuchi ). The advantages of using a break-part FISH probe for gene translocation are that it can detect the translocations irrespective of fusion partners. Therefore, the current false-positive rate may be overestimated because it may include an unknown fusion partner for the RET gene. However, the possible effect of unknown fusion partners was not likely because the recently reported frequency of novel fusion partners of RET-rearranged lung carcinoma (i.e., NCOA4 and TRIM33) was extremely low (Wang ; Drilon ). Similar to EML4ALK translocation, there exists intrachromosomal proximity (10.6 Mbp) of KIF5B and RET genes that complicates the generation of a proper break-apart probe that is easily resolvable by contemporary in situ technology. Although RET immunoreactivity was significantly associated with RET rearrangement, its test performance was poor with only 66.7% sensitivity and 86.1% specificity. Other investigators have also reported a slightly lower positivity rate (54%) of RET antibody for RET-rearranged NSCLCs (Wang ). Therefore, we conclude that RET immunohistochemistry possesses limited value in detecting RET-rearranged NSCLCs, unlike, for example, immunohistochemistry for human epidermal growth factor 2 status for breast carcinoma (Jacobs ). Interestingly, cytoplasmic staining was more specific to gene rearrangement than membranous staining, likely because the KIF5BRET chimeric proteins (except fusion partner of K24;R8) lack a transmembrane domain. The present survival analysis indicated that RET rearrangement was not associated with OS. Even when the analysis was limited to ADCs or cases of consecutively resected ADC, no association was observed, consistent with previous reports (Wang ; Yokota ). However, the number of cases that have been investigated has been too small (spanning stages I–III) to draw any definitive conclusions regarding survival of RET-rearranged NSCLCs. In summary, RET rearrangements were observed in 1.2% of NSCLC cases. All RET rearrangements in NSCLC were observed in ADCs. The RET rearrangements were observed in younger patients, patients with no smoking history, and papillary-predominant tumours. Although, cytoplasmic mucin production was at least focally present in 54.5% of RET-rearranged ADCs, distinct histological features were not detected. Furthermore, immunohistochemistry for RET protein has limited value to detect RET-rearranged NSCLC. Finally, these fusion genes did not coexist with EGFR and ALK alterations.
  26 in total

1.  Comprehensive histologic analysis of ALK-rearranged lung carcinomas.

Authors:  Akihiko Yoshida; Koji Tsuta; Harumi Nakamura; Takashi Kohno; Fumiaki Takahashi; Hisao Asamura; Ikuo Sekine; Masashi Fukayama; Tatsuhiro Shibata; Koh Furuta; Hitoshi Tsuda
Journal:  Am J Surg Pathol       Date:  2011-08       Impact factor: 6.394

2.  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

3.  Clinical features and outcome of patients with non-small-cell lung cancer who harbor EML4-ALK.

Authors:  Alice T Shaw; Beow Y Yeap; Mari Mino-Kenudson; Subba R Digumarthy; Daniel B Costa; Rebecca S Heist; Benjamin Solomon; Hannah Stubbs; Sonal Admane; Ultan McDermott; Jeffrey Settleman; Susumu Kobayashi; Eugene J Mark; Scott J Rodig; Lucian R Chirieac; Eunice L Kwak; Thomas J Lynch; A John Iafrate
Journal:  J Clin Oncol       Date:  2009-08-10       Impact factor: 44.544

4.  A transforming KIF5B and RET gene fusion in lung adenocarcinoma revealed from whole-genome and transcriptome sequencing.

Authors:  Young Seok Ju; Won-Chul Lee; Jong-Yeon Shin; Seungbok Lee; Thomas Bleazard; Jae-Kyung Won; Young Tae Kim; Jong-Il Kim; Jin-Hyoung Kang; Jeong-Sun Seo
Journal:  Genome Res       Date:  2011-12-22       Impact factor: 9.043

Review 5.  Molecular genetics and diagnosis of thyroid cancer.

Authors:  Yuri E Nikiforov; Marina N Nikiforova
Journal:  Nat Rev Endocrinol       Date:  2011-08-30       Impact factor: 43.330

6.  Identification of new ALK and RET gene fusions from colorectal and lung cancer biopsies.

Authors:  Doron Lipson; Marzia Capelletti; Roman Yelensky; Geoff Otto; Alex Parker; Mirna Jarosz; John A Curran; Sohail Balasubramanian; Troy Bloom; Kristina W Brennan; Amy Donahue; Sean R Downing; Garrett M Frampton; Lazaro Garcia; Frank Juhn; Kathy C Mitchell; Emily White; Jared White; Zac Zwirko; Tamar Peretz; Hovav Nechushtan; Lior Soussan-Gutman; Jhingook Kim; Hidefumi Sasaki; Hyeong Ryul Kim; Seung-il Park; Dalia Ercan; Christine E Sheehan; Jeffrey S Ross; Maureen T Cronin; Pasi A Jänne; Philip J Stephens
Journal:  Nat Med       Date:  2012-02-12       Impact factor: 53.440

7.  RET fusions define a unique molecular and clinicopathologic subtype of non-small-cell lung cancer.

Authors:  Rui Wang; Haichuan Hu; Yunjian Pan; Yuan Li; Ting Ye; Chenguang Li; Xiaoyang Luo; Lei Wang; Hang Li; Yang Zhang; Fei Li; Yongming Lu; Qiong Lu; Jie Xu; David Garfield; Lei Shen; Hongbin Ji; William Pao; Yihua Sun; Haiquan Chen
Journal:  J Clin Oncol       Date:  2012-11-13       Impact factor: 44.544

8.  KIF5B/RET fusion gene in surgically-treated adenocarcinoma of the lung.

Authors:  Keisuke Yokota; Hidefumi Sasaki; Katsuhiro Okuda; Shigeki Shimizu; Masayuki Shitara; Yu Hikosaka; Satoru Moriyama; Motoki Yano; Yoshitaka Fujii
Journal:  Oncol Rep       Date:  2012-07-13       Impact factor: 3.906

9.  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

10.  KIF5B-RET fusions in lung adenocarcinoma.

Authors:  Takashi Kohno; Hitoshi Ichikawa; Yasushi Totoki; Kazuki Yasuda; Masaki Hiramoto; Takao Nammo; Hiromi Sakamoto; Koji Tsuta; Koh Furuta; Yoko Shimada; Reika Iwakawa; Hideaki Ogiwara; Takahiro Oike; Masato Enari; Aaron J Schetter; Hirokazu Okayama; Aage Haugen; Vidar Skaug; Suenori Chiku; Itaru Yamanaka; Yasuhito Arai; Shun-Ichi Watanabe; Ikuo Sekine; Seishi Ogawa; Curtis C Harris; Hitoshi Tsuda; Teruhiko Yoshida; Jun Yokota; Tatsuhiro Shibata
Journal:  Nat Med       Date:  2012-02-12       Impact factor: 53.440

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  52 in total

Review 1.  Beyond ALK-RET, ROS1 and other oncogene fusions in lung cancer.

Authors:  Takashi Kohno; Takashi Nakaoku; Koji Tsuta; Katsuya Tsuchihara; Shingo Matsumoto; Kiyotaka Yoh; Koichi Goto
Journal:  Transl Lung Cancer Res       Date:  2015-04

2.  The RET fusion gene and its correlation with demographic and clinicopathological features of non-small cell lung cancer: a meta-analysis.

Authors:  Chen Lin; Shanshan Wang; Weiwei Xie; Jianhua Chang; Yu Gan
Journal:  Cancer Biol Ther       Date:  2015-05-15       Impact factor: 4.742

3.  Preclinical Modeling of KIF5B-RET Fusion Lung Adenocarcinoma.

Authors:  Qingling Huang; Valentina E Schneeberger; Noreen Luetteke; Chengliu Jin; Roha Afzal; Mikalai M Budzevich; Rikesh J Makanji; Gary V Martinez; Tao Shen; Lichao Zhao; Kar-Ming Fung; Eric B Haura; Domenico Coppola; Jie Wu
Journal:  Mol Cancer Ther       Date:  2016-08-05       Impact factor: 6.261

4.  Reply to Lambros et al.

Authors:  Zhenya Tang; Jianjun Zhang; Hui Chen; Selina Lu; Joanne Cheng; Guilin Tang; L Jeffrey Medeiros
Journal:  Mod Pathol       Date:  2018-03       Impact factor: 7.842

Review 5.  Targeting RET-driven cancers: lessons from evolving preclinical and clinical landscapes.

Authors:  Alexander Drilon; Zishuo I Hu; Gillianne G Y Lai; Daniel S W Tan
Journal:  Nat Rev Clin Oncol       Date:  2017-11-14       Impact factor: 66.675

6.  Comprehensive analysis of RET and ROS1 rearrangement in lung adenocarcinoma.

Authors:  Seung Eun Lee; Boram Lee; Mineui Hong; Ji-Young Song; Kyungsoo Jung; Maruja E Lira; Mao Mao; Joungho Han; Jhingook Kim; Yoon-La Choi
Journal:  Mod Pathol       Date:  2014-09-19       Impact factor: 7.842

7.  Distinctive targetable genotypes of younger patients with lung adenocarcinoma: a cBioPortal for cancer genomics data base analysis.

Authors:  Helei Hou; Chuantao Zhang; Xiaogai Qi; Lei Zhou; Dong Liu; Hongying Lv; Tianjun Li; Dantong Sun; Xiaochun Zhang
Journal:  Cancer Biol Ther       Date:  2019-10-09       Impact factor: 4.742

Review 8.  State-of-the-Art Strategies for Targeting RET-Dependent Cancers.

Authors:  Vivek Subbiah; Dong Yang; Vamsidhar Velcheti; Alexander Drilon; Funda Meric-Bernstam
Journal:  J Clin Oncol       Date:  2020-02-21       Impact factor: 44.544

9.  Efficacy of Selpercatinib in RET Fusion-Positive Non-Small-Cell Lung Cancer.

Authors:  Alexander Drilon; Geoffrey R Oxnard; Daniel S W Tan; Herbert H F Loong; Melissa Johnson; Justin Gainor; Caroline E McCoach; Oliver Gautschi; Benjamin Besse; Byoung C Cho; Nir Peled; Jared Weiss; Yu-Jung Kim; Yuichiro Ohe; Makoto Nishio; Keunchil Park; Jyoti Patel; Takashi Seto; Tomohiro Sakamoto; Ezra Rosen; Manisha H Shah; Fabrice Barlesi; Philippe A Cassier; Lyudmila Bazhenova; Filippo De Braud; Elena Garralda; Vamsidhar Velcheti; Miyako Satouchi; Kadoaki Ohashi; Nathan A Pennell; Karen L Reckamp; Grace K Dy; Jürgen Wolf; Benjamin Solomon; Gerald Falchook; Kevin Ebata; Michele Nguyen; Binoj Nair; Edward Y Zhu; Luxi Yang; Xin Huang; Elizabeth Olek; S Michael Rothenberg; Koichi Goto; Vivek Subbiah
Journal:  N Engl J Med       Date:  2020-08-27       Impact factor: 91.245

10.  Intracranial Efficacy of Selpercatinib in RET Fusion-Positive Non-Small Cell Lung Cancers on the LIBRETTO-001 Trial.

Authors:  Vivek Subbiah; Justin F Gainor; Geoffrey R Oxnard; Daniel S W Tan; Dwight H Owen; Byoung Chul Cho; Herbert H Loong; Caroline E McCoach; Jared Weiss; Yu Jung Kim; Lyudmila Bazhenova; Keunchil Park; Haruko Daga; Benjamin Besse; Oliver Gautschi; Christian Rolfo; Edward Y Zhu; Jennifer F Kherani; Xin Huang; Suhyun Kang; Alexander Drilon
Journal:  Clin Cancer Res       Date:  2021-06-04       Impact factor: 12.531

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