Literature DB >> 20588273

A prospective epidemiological study of new incident GISTs during two consecutive years in Rhône Alpes region: incidence and molecular distribution of GIST in a European region.

P A Cassier1, F Ducimetière, A Lurkin, D Ranchère-Vince, J-Y Scoazec, P-P Bringuier, A-V Decouvelaere, P Méeus, D Cellier, J-Y Blay, I Ray-Coquard.   

Abstract

BACKGROUND: Preliminary data indicate that the molecular epidemiology of localised gastrointestinal stromal tumour (GIST) may be different from that of advanced GIST. We sought to investigate the molecular epidemiology of sarcomas, including GIST, in the Rhone-Alpes region in France. PATIENTS AND METHODS: A prospective and exhaustive study in the Rhone-Alpes Region in France to assess the precise incidence of primary sarcomas with systematic centralised pathological review and molecular analysis was conducted for 2 consecutive years.
RESULTS: Among 760 patients with a confirmed diagnosis of sarcoma, 131 (17%) had a GIST. The majority of patients had gastric primaries (61%). Mutational analysis could be performed in 106 tumour samples (74%), and 71 (67%) had exon 11 mutations. PDGFRA mutations were found in 16% of cases, which is twice as high as previously reported for advanced GIST.
CONCLUSION: Data indicate that PDGFRA mutations in localised GIST may be twice as high as what was previously reported in patients with advanced disease. This finding may have important consequences for patients offered adjuvant imatinib, although most of these tumours are in the low-risk group.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20588273      PMCID: PMC2906738          DOI: 10.1038/sj.bjc.6605743

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


Gastrointestinal stromal tumours (GISTs) are rare tumours of mesenchymal origin arising in the gastrointestinal tract. Incidence data obtained from registries indicate an incidence of approximately 12–15 new cases per million inhabitants per year in western countries (Goettsch ; Nilsson ); however, there remain uncertainties because of variations in diagnostic criteria before the NCI consensus reported in 2002 (Fletcher ). Approximately 95% of GISTs stain positive for CD117 (KIT) and 85% of cases harbour activating mutations in the gene of one of two structurally related transmembrane tyrosine-kinase receptors: KIT and PDGFRA (Hirota ; Heinrich , 2003b; Corless ). These activating mutations affect primarily the exons 9 and 11 of KIT, but may also be found on exons 8, 13 and 17 of KIT and exons 12, 14 and 18 of PDGFRA (Heinrich , 2008; Debiec-Rychter ). The relative frequency of the different KIT and PDGFRA mutations in patients with advanced GIST has been previously reported (Heinrich , 2008; Debiec-Rychter ). The frequency of KIT and PDGFRA mutations in localised GIST has been reported in a single-institution study from Italy. Other preliminary reports indicate that PDGFRA mutations may be higher in localised than metastatic GIST, which may reflect their more favourable prognosis. Two recent autopsy series have shown that the incidence of GIST may be as high as 50% in stomach specimens (Kawanowa ; Agaimy ); in one of these series, canonical KIT or PDGFRA mutations were found in 50% of assessable tumours (Agaimy ). We sought to assess the precise incidence of GIST and other sarcomas in the Rhone-Alpes region in France. This report focuses exclusively on GIST.

Patients and methods

A prospective and exhaustive study was conducted in the Rhone-Alpes region in France to assess the precise incidence of primary sarcomas and to assess conformity of management with published guidelines. Rhone-Alpes represent 10% of the French population (5 958 320 of 60 825 000 inhabitants) and 10% of the French territory. All cases for which a diagnosis of sarcoma was raised were systematically and centrally reviewed by experts (DR and AVD) to confirm the diagnosis.

Collection of data

All pathologists of the Rhone-Alpes region (n=42) agreed to participate in the study after a first meeting to inform them. They had to prospectively notify their cases, and to address a paraffin-embedded tumour sample for expert review. A financial support was allocated for each notified case and each tumour bloc. Duplications were checked in the database by a comparison of the patient's initials and the date of birth. If one patient was noted to have several diagnostic materials (e.g., biopsy, surgery and metastasis), or if tumour locations were multiple, the patient could be included only once in the study. All diagnosed patients with a first diagnosis of primary sarcoma, between 1 March 2005 and 28 February 2006, and living in the Rhône-Alpes region (as testified by the ZIP code of patients’ address), were included in the study. All subtypes of sarcomas were included: soft tissue, bone and visceral (GISTs and gynaecological sarcomas) sarcomas. Exclusion criteria concerned relapsed tumour, date of diagnosis not matched with the inclusion period, patient living outside of the Rhone-Alpes region and no definitive histology in favour of sarcoma after the review. A validation series of all new cases diagnosed between 1 March 2006 and 28 February 2007 was also collected and analysed using the same methodology.

Pathological review

All cases of suspicious sarcomas were reviewed by regional sarcoma expert pathologists (JYS, DRV and AVD) and national experts (JM Coindre and a panel of pathologists from French Sarcoma group). New tissue sections were prepared from the paraffin-embedded samples provided by the primary pathologist, and immunohistochemical study was systematically performed again by the expert reviewer (Lurkin ). Diagnoses were performed in accordance with the 2002 WHO classification.

Mutation analysis

After manual microdissection of tumour or normal tissue, DNA was extracted from paraffin-embedded material, using the MasterPure kit (Epicentre Biotechnologies, Le Parray en Yvelines, France). Exons 9, 11, 13 and 17 of KIT and exons 12, 14 and 18 of PDGFRA were amplified using the primers detailed in Table 1.
Table 1

Primers used for PCR

Exon Primer
KIT exon 9 forward5′-GATGTGGGCAAGACTTCTG-3′
KIT exon 9 reverse5′-TTACCTTTAAATGCAAAGTTAA-3′
  
KIT exon 11 forward5′-CCAGAGTGCTCTAATGACTG-3′
KIT exon 11 reverse5′-ACTGTTATGTGTACCCAAAAAGG-3′
  
KIT exon 13 forward5′-GCTTGACATCAGTTTGCCAGT-3′
KIT exon 13 reverse5′-GGCAGCTTGGACACGGCTTTA-3′
  
KIT exon 17 forward5′-TGAACATCATTCAAGGCGTATTGCTT-3′
KIT exon 17 reverse5′-TTGAAACTAAAAATCCTTTGCAGGAC-3′
  
PDGFRA exon 12 forward5′-TCCAGTCACTGTGCTGCTTC-3′
PDGFRA exon 12 reverse5′-GCAAGGGAAAAGGGAGTCTT-3′
  
PDGFRA exon 14 forward5′-TGAGAACAGGAAGTTGGTAGCTCA-3′
PDGFRA exon 14 reverse5′-GATGGAGAGTGGAGGATTTAAGCC-3′
  
PDGFRA exon 18 forward5′-ACCATGGATCAGCCAGTCTT-3′
PDGFRA exon 18 reverse5′-TGAAGGAGGATGAGCCTGACC-3′
Except for exon 9 of KIT, mutation screening was performed by dHPLC analysis with a WAVE system (Transgenomic, Montluçon, France). Mutations were confirmed by sequencing with the same primer as for PCR; PCR products were purified using Qiagen MiniElute PCR (Qiagen, Courtaboeuf, France) purification columns and then sequenced on both strands with the DYEnamic ET Dye terminator kit (Amersham Bioscience, Orsay, France) and analysed on a MegaBACE 1000 automatic sequencer (Amersham Bioscience). For KIT exon 9, the six-nucleotide duplication was assessed using high-resolution agarose gel electrophoresis (Resophor; Laboratoire Eurobio, Les Ulis, France) of the 47 bp (or 53 bp) PCR product.

Statistical analysis

Data were described using percentages for qualitative variables and median and range for numerical variables. All statistical analyses were performed using the SPSS 12.0 package (SPSS Inc., Chicago, IL, USA).

Results

Epidemiology of GIST

A total of 703 patients for whom a diagnosis of sarcoma was raised were screened; 42 patients (6.1%) were diagnosed outside the study period; 128 patients (18.5%) were found to have relapse (and not primary sarcoma); 44 patients (6.4%) managed in the Rhone-Alpes were found to live outside the predefined region; 33 patients (4.8%) lived and were managed outside the Rhone-Alpes; and 68 patients (9.8%) did not have sarcoma after expert pathologic review. In all, 376 patients (54.4%) conformed to the inclusion criteria: confirmed diagnosis of sarcoma after expert review, initial diagnosis between 1 March 2005 and 28 February 2006 (date of biopsy if there was one/of surgery if no biopsy) and resident in Rhone-Alpes region; 67 patients (17.8%) were diagnosed with GIST. For the second year, the diagnosis of sarcoma was raised in 581 patients, of whom 369 patients had a confirmed diagnosis of incident sarcoma, with 64 of them (16.7% of all sarcomas) identified as incident cases with GIST. Overall, 745 of 1284 patients had a confirmed diagnosis of sarcoma, of which 131 (18%) were GISTs. The crude incidence of GIST was therefore 11.2 per million inhabitant per year.

Patients’ characteristics

The main characteristics of the 131 patients with GIST are described in Table 2. In brief, a majority of patients were female (n=75, 57%), median age was 66 (range 34–91) years and most (61%) tumours originated from the stomach. In all, 117 patients (89%) were diagnosed as having localised GIST, whereas 14 patients (11%) had metastatic disease at initial diagnosis, confined to the abdominal cavity in all cases (liver metastases n=9; mesentery or peritoneum n=8; and 2 patients had lymph node metastases). Four tumours were diagnosed incidentally on surgical specimens obtained for other reasons: two tumours were found in oesophagectomy specimens (one performed after sulphuric acid ingestion and one performed for squamous cell carcinoma), one tumour was found on a gastrectomy specimen performed for gastric adenocarcinoma and one patient had an incidental diagnosis of GIST during cholecystectomy (the surgeon resected a small gastric lesion). Risk stratification was performed according to both the National Institute of Health (NIH) (Fletcher ) and the Armed Forces Institute of Pathology (AFIP) (Miettinen and Lasota, 2006) criteria (Table 2).
Table 2

Patients’ characteristics

  Year 2005
Year 2006
Overall
Characteristics N=67 % Median Range N=64 % Median Range N=131 % Median Range
Age (years)  6634–91  6438–88  6634–91
             
Gender
 Male2537  3148  5643  
 Female4263  3352  7557  
             
Tumor location
 Stomach4060  4063  8061  
 Small bowel1522  2133  3627  
 Rectum/pelvis57  23  75  
 Peritoneum69  12  75  
 Oesophagus11  00  11  
             
Tumor size (mm)a  503–290  554–450  553–450
             
Mitose count/50 HPF a
 ⩽54267  3667  7867  
 >5 and ⩽101117  1222  2320  
 >101016  611  1614  
             
Disease status
 Localised5988  5891  11789  
NIH risk group
  Very low712  47  119  
  Low1424  1729  3126  
  Intermediate2237  1933  4135  
  High1424  1424  2824  
  NA23  47  65  
             
AFIP risk group
  Very low712  47  119  
  Low2339  2340  4639  
  Intermediate1119  814  1916  
  High1220  1322  2521  
  NA610  1017  1614  
             
 Metastatic812  69  1411  
             
Immunohistochemistry b
 CD117 (KIT) positive6397  6298  12595  
 CD34 positive5888  5181  10983  

Abbreviations: NA=not available; HPF=high power field; NIH=National Institute of Health; AFIP=Armed Forces Institute of Pathology.

Tumour size and mitose count were available for 63 patients in the 2005 cohort, whereas size was available for 61 and mitose count for 54 patients in the 2006 cohort.

Immunohistochemistry data were available for CD117 in 65 patients, and for CD34 in 66 patients in the 2005 cohort, and they were available for both CD117 and CD34 in 63 patients in the 2006 cohort.

Molecular data

Mutation analysis could be performed in 106 of 131 patients (81%), 55 of 67 patients (82%) in the first cohort and 51 of 64 patients (80%) in the second cohort (Table 2). In 16 cases, mutational analysis could not be performed because of the fixative used, and in the 9 remaining cases the sample size was not sufficient to retrieve enough DNA for sequencing (microbiopsies or microGIST). The majority of samples harboured KIT mutations (n=71 of 106, 67%), and no KIT or PDGFRA mutations was found in 18 patients (17%). Seventeen tumours (16%) harboured PDGFRA mutations, 15 tumours originated from the stomach (14 with PDGFRA exon 18 and one PDGFRA exon 12), one from the peritoneum (omentum, PDGFRA exon 18 mutation) and one from the small bowel (PDGFRA exon 12 mutation). In addition, 10 patients (9%) had tumours with exon 9 mutations, 8 of which originated from the small bowel (including the duodenum), one from the rectum and one from the pelvis. The relative frequencies of KIT exon 11, KIT exon 9 and PDGFRA mutations are described in Table 3. When considering only patients with localised disease for whom molecular data were available (n=94), KIT exon 9, 11, 13 and 17 mutations were found in 9 (10%), 49 (52%), 3 (3%) and 1 (1%) patient, respectively, whereas PDGFRA mutations were found in 14 (15%) patients (exon 18, n=12 and exon 12, n=2), and 18 (19%) patients had KIT and PDGFRA wild-type tumours. Of the 14 PDGFRA exon 18 mutations, 13 (93%) involved codon 842, and 10 were D842V substitutions (11%). Molecular analysis could be performed for only one of the four incidentally diagnosed GISTs and showed a KIT exon 11 mutation. For the three other cases, the amount of DNA was not sufficient to perform molecular analysis.
Table 3

Results of mutation analysis

  Year of sample collection
  2005
2006
Overall
Type of mutation N %a N %a N %
NA12 13 25 
Wild type11207141817
c-KIT356436717167
Exon 9
  Duplications47612109
Exon 11
  Deletions152710202524
  Missense9166121514
  Insertion243655
  Deletion and missense2451077
  Deletion and insertion120011
  Duplications122433
Exon 13
  Missense123644
 Exon 17001211
       
PDGFRA9158161716
Exon 12
  Deletions240022
Exon 18
  Missense59510109
  Insertion001211
  Deletions242444

Abbreviation: NA=not available.

Percentages are calculated on the number of patients for whom mutation status was available (n=55 for 2005, 51 for 2006 and 106 overall).

Correlation of mutation and risk stratification

The aim of this correlative analysis was to determine which patient would be eligible for adjuvant imatinib, and it was therefore conducted only for patients with localised disease. Furthermore, both the NIH and the AFIP risk stratification were simplified into two categories grouping very low and low-risk group on one side and intermediate- and high-risk groups (i.e., those eligible for adjuvant imatinib per EMEA approval) on the other. Results of this correlative analysis are depicted in Table 4. As previously described (Blackstein ), approximately 15–20% of patients from the high (intermediate and high) risk group in the NIH classification were reallocated to the low (very low and low) risk group of the AFIP risk stratification. This was true for all mutations types except for PDGFRA mutants in which 50% of the patients were reclassified as low risk, leaving only 7% of patients in the high-risk group of the AFIP classification (vs 57% when using the NIH classification; Table 4). The distribution of PDGFRA mutant tumours between the low- and high-risk categories was significantly different from that of KIT mutant or wild-type tumours when using the AFIP classification (P=0.005, Kruskal–Wallis test), but not when using the NIH classification (P=0.452, Kruskal–Wallis test). This difference of distributions is likely the consequence of the association of PDGFRA mutations with tumours of gastric origin (Lasota ).
Table 4

Correlation of mutation type and risk using the NIH and the AFIP risk classifications for the 94 patients with both localised disease and molecular data

   NIH
AFIP
   Low
High
NA
Low
High
NA
 Total N N % N % N % N % N % N %
Overall9430326064444548414489
              
Kit 62203238614627442947610
 Exon 114916333163242347224548
 Exon 99222667111222667111
 Exon 1332670013326700133
 Exon1710011000000110000
              
PDGFRA 146438570012861717
 Exon 122150150002100000 
 Exon 18125427580010831818
              
Wild type18422147800633116116

Abbreviations: NA=not available; NIH=National Institute of Health; AFIP=Armed Forces Institute of Pathology.

Discussion

This study is the first to date to report incidence with molecular analysis of GIST based on a prospectively collected exhaustive population sample (5 958 320 inhabitants in the Rhône-Alpes region). Overall, our data are in agreement with previously reported series in terms of primary tumour location, size and gender (Braconi ). One of the key findings is the differences in the frequency of PDGFRA mutations that seem almost twice as high as that reported in patients with advanced disease (Debiec-Rychter ; Braconi ; Braggio ; Du ; Heinrich ) (Table 5), including in patients with localised disease. These differences may be because of the more indolent behaviour of tumours bearing mutant PDGFRA (Lasota ; Dematteo ), whereas some KIT exon 11 and KIT exon 9 mutations have a higher risk of relapse after surgical excision. Other recently reported series have found somewhat lower frequencies of PDGFRA mutations: Braggio reported frequencies of 7.3% in patients with completely resected GIST in a specific population from Brazil. In both their series and ours, the small numbers preclude any definitive conclusion and these observations must be confirmed by larger studies. Emile recently reported a large series of GIST with molecular epidemiology and found that PDGFRA mutation were twice as high in localised GIST than that previously reported for patients with advanced disease. This series, which used different inclusion criteria (expert pathology referral), confirms what was found in our series. However, unlike Emile , we could not find any significant difference in age between patients with PDGFRA-mutated tumours and those with other mutation type (Kruskal–Wallis nonparametric test P=0.295 for PDGFRA mutants vs other mutation types). Furthermore, in contrast with what Emile found, the frequency of KIT exon 9 mutations in patients with localised disease in our series was comparable to that previously reported in patients with advanced disease (approximately 10% Heinrich ; Debiec-Rychter )
Table 5

Comparison of the frequencies of PDGFRA mutations among series of patients depending on the setting: advanced disease vs population based (advanced+localised)

Setting Advanced disease—clinical trial
Population based
Population based, exhaustive
Author Debiec-Rychter et al (2006) Heinrich et al (2008) Braconi et al (2008) Braggio et al (2008) Du et al (2008) Current series
Number of patients included94674610481141131
Number analysed for mutations3773789455141106
             
Mutations N % N % N % N % N % N %
Kit 315843148381864073108777167
 Exon 9581531811122486109
 Exon 1124866275736973386999705653
 Exon 13623100001144
 Exon17314111000011
             
PDGFRA 10362131447861716
 Exon 12100033350022
 Exon 189262101112861515
             
Wild type521458151011112025181817
Although the predictive role of KIT mutations have been studied and reported in patients with advanced disease (Heinrich ; Debiec-Rychter ; Van Glabbeke ), the precise role of mutations in the biology of localised GISTs and their correlation with prognosis remains debated, although PDGFRA mutations seem associated with a rather indolent course (Lasota ), whereas deletions of KIT exon 11 encompassing codons 557 and 558 were found to have poor prognosis (Martin ). More data regarding the prognostic significance of different kinase mutations will likely be generated from the control arms of the adjuvant trials that have now finished accrual (Dematteo ; Gronchi ). These observations are of importance considering the recent introduction of adjuvant imatinib treatment in high-risk GIST. PDGFRA exon 18 mutations (D842V), which affect the activation loop of the PDGFRα kinase, are biochemically less sensitive to imatinib than the more common KIT exon 11 mutations. As they may also have a better prognosis, the molecular characterisation may prove to be useful in selecting those patients in whom adjuvant imatinib is truly required. It is noteworthy that although 57% of the tumours with PDGFRA mutations in our series were classified as intermediate or high risk according to the NIH consensus (Fletcher ), most of these tumours were classified as low or very low risk according to the AFIP risk classification (Miettinen and Lasota, 2006). The main reason for this shift is likely the gastric origin of most of the tumours harbouring PDGFRA mutations (15 of 17, 88%). Similarly, the identification of exon 9 may be needed to propose the adequate dose of adjuvant imatinib (Van Glabbeke ). Finally, the absolute incidence of GIST may be largely underestimated as suggested by the reports of Agaimy and Kawanowa , which reported the so-called ‘microGIST’ in up to 50% of specimens of gastrectomies performed for other causes. Conversely, most of these tumours never become ‘clinically significant’, as the rate of clinically detected GIST is 12–15 per million inhabitants in Western countries as shown by our data and others (Nilsson ; Monges ). It is noteworthy that three patients in the 2005 cohort and one in the 2006 cohort had a diagnosis of GIST after surgery for another cause. Furthermore, new diagnostic or imaging procedures, such as endoscopic ultrasound, may lead to an increase in the diagnosis of small GIST. The ‘true incidence’ of GIST may therefore be a moving concept in the future.
  20 in total

1.  Minute gastric sclerosing stromal tumors (GIST tumorlets) are common in adults and frequently show c-KIT mutations.

Authors:  Abbas Agaimy; Peter H Wünsch; Ferdinand Hofstaedter; Hagen Blaszyk; Petra Rümmele; Andreas Gaumann; Wolfgang Dietmaier; Arndt Hartmann
Journal:  Am J Surg Pathol       Date:  2007-01       Impact factor: 6.394

2.  Correlation of kinase genotype and clinical outcome in the North American Intergroup Phase III Trial of imatinib mesylate for treatment of advanced gastrointestinal stromal tumor: CALGB 150105 Study by Cancer and Leukemia Group B and Southwest Oncology Group.

Authors:  Michael C Heinrich; Kouros Owzar; Christopher L Corless; Donna Hollis; Ernest C Borden; Christopher D M Fletcher; Christopher W Ryan; Margaret von Mehren; Charles D Blanke; Cathryn Rankin; Robert S Benjamin; Vivien H Bramwell; George D Demetri; Monica M Bertagnolli; Jonathan A Fletcher
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

3.  Epidemiological evaluation of concordance between initial diagnosis and central pathology review in a comprehensive and prospective series of sarcoma patients in the Rhone-Alpes region.

Authors:  Antoine Lurkin; Francoise Ducimetière; Dominique Ranchère Vince; Anne-Valérie Decouvelaere; Dominic Cellier; François N Gilly; Dimitri Salameire; Pierre Biron; Guy de Laroche; Jean Yves Blay; Isabelle Ray-Coquard
Journal:  BMC Cancer       Date:  2010-04-19       Impact factor: 4.430

4.  Adjuvant treatment of GIST with imatinib: solid ground or still quicksand? A comment on behalf of the EORTC Soft Tissue and Bone Sarcoma Group, the Italian Sarcoma Group, the NCRI Sarcoma Clinical Studies Group (UK), the Japanese Study Group on GIST, the French Sarcoma Group and the Spanish Sarcoma Group (GEIS).

Authors:  Alessandro Gronchi; Ian Judson; Toshirou Nishida; Andres Poveda; Javier Martin; Peter Reichardt; Paolo G Casali; Axel Le Cesne; Peter Hohenberger; Jean-Yves Blay
Journal:  Eur J Cancer       Date:  2009-03-13       Impact factor: 9.162

5.  Tumor mitotic rate, size, and location independently predict recurrence after resection of primary gastrointestinal stromal tumor (GIST).

Authors:  Ronald P Dematteo; Jason S Gold; Lisa Saran; Mithat Gönen; Kui Hin Liau; Robert G Maki; Samuel Singer; Peter Besmer; Murray F Brennan; Cristina R Antonescu
Journal:  Cancer       Date:  2008-02-01       Impact factor: 6.860

Review 6.  Diagnosis of gastrointestinal stromal tumors: A consensus approach.

Authors:  Christopher D M Fletcher; Jules J Berman; Christopher Corless; Fred Gorstein; Jerzy Lasota; B Jack Longley; Markku Miettinen; Timothy J O'Leary; Helen Remotti; Brian P Rubin; Barry Shmookler; Leslie H Sobin; Sharon W Weiss
Journal:  Hum Pathol       Date:  2002-05       Impact factor: 3.466

7.  The analysis of status and clinical implication of KIT and PDGFRA mutations in gastrointestinal stromal tumor (GIST).

Authors:  Chun-Yan Du; Ying-Qiang Shi; Ye Zhou; Hong Fu; Guangfa Zhao
Journal:  J Surg Oncol       Date:  2008-09-01       Impact factor: 3.454

8.  PDGFRA activating mutations in gastrointestinal stromal tumors.

Authors:  Michael C Heinrich; Christopher L Corless; Anette Duensing; Laura McGreevey; Chang-Jie Chen; Nora Joseph; Samuel Singer; Diana J Griffith; Andrea Haley; Ajia Town; George D Demetri; Christopher D M Fletcher; Jonathan A Fletcher
Journal:  Science       Date:  2003-01-09       Impact factor: 47.728

9.  Kinase mutations and imatinib response in patients with metastatic gastrointestinal stromal tumor.

Authors:  Michael C Heinrich; Christopher L Corless; George D Demetri; Charles D Blanke; Margaret von Mehren; Heikki Joensuu; Laura S McGreevey; Chang-Jie Chen; Annick D Van den Abbeele; Brian J Druker; Beate Kiese; Burton Eisenberg; Peter J Roberts; Samuel Singer; Christopher D M Fletcher; Sandra Silberman; Sasa Dimitrijevic; Jonathan A Fletcher
Journal:  J Clin Oncol       Date:  2003-12-01       Impact factor: 44.544

10.  Adjuvant imatinib mesylate after resection of localised, primary gastrointestinal stromal tumour: a randomised, double-blind, placebo-controlled trial.

Authors:  Ronald P Dematteo; Karla V Ballman; Cristina R Antonescu; Robert G Maki; Peter W T Pisters; George D Demetri; Martin E Blackstein; Charles D Blanke; Margaret von Mehren; Murray F Brennan; Shreyaskumar Patel; Martin D McCarter; Jonathan A Polikoff; Benjamin R Tan; Kouros Owzar
Journal:  Lancet       Date:  2009-03-18       Impact factor: 79.321

View more
  47 in total

1.  Frequencies of KIT and PDGFRA mutations in the MolecGIST prospective population-based study differ from those of advanced GISTs.

Authors:  J F Emile; S Brahimi; J M Coindre; P P Bringuier; G Monges; P Samb; L Doucet; I Hostein; B Landi; M P Buisine; A Neuville; O Bouché; P Cervera; J L Pretet; J Tisserand; A Gauthier; A Le Cesne; J C Sabourin; J Y Scoazec; S Bonvalot; C L Corless; M C Heinrich; J Y Blay; P Aegerter
Journal:  Med Oncol       Date:  2011-09-28       Impact factor: 3.064

2.  Stomach GIST presenting as a liver abscess.

Authors:  Farhad Fakhrejahani; David Gemmel; Sudershan K Garg
Journal:  J Gastrointest Cancer       Date:  2014-12

3.  Gastric polyps: a review of clinical, endoscopic, and histopathologic features and management decisions.

Authors:  Rafiul Sameer Islam; Neal C Patel; Dora Lam-Himlin; Cuong C Nguyen
Journal:  Gastroenterol Hepatol (N Y)       Date:  2013-10

4.  Presence of PDGFRA and DOG1 mutations in gastrointestinal stromal tumors among Chinese population.

Authors:  Jiehua Li; Haitian Zhang; Yunfei Lu; Zhibai Chen; Ka Su
Journal:  Int J Clin Exp Pathol       Date:  2015-05-01

5.  Effects of endoplasmic reticulum stressors on maturation and signaling of hemizygous and heterozygous wild-type and mutant forms of KIT.

Authors:  Sabrina Brahimi-Adouane; Jean-Baptiste Bachet; Séverine Tabone-Eglinger; Frédéric Subra; Claude Capron; Jean-Yves Blay; Jean-François Emile
Journal:  Mol Oncol       Date:  2012-10-30       Impact factor: 6.603

6.  Blood neutrophil-to-lymphocyte ratio is prognostic in gastrointestinal stromal tumor.

Authors:  Daniel R Perez; Raymond E Baser; Michael J Cavnar; Vinod P Balachandran; Cristina R Antonescu; William D Tap; Vivian E Strong; Murray F Brennan; Daniel G Coit; Samuel Singer; Ronald P Dematteo
Journal:  Ann Surg Oncol       Date:  2012-10-02       Impact factor: 5.344

Review 7.  Targeted therapy of gastrointestinal stromal tumours.

Authors:  Ashish Jakhetiya; Pankaj Kumar Garg; Gaurav Prakash; Jyoti Sharma; Rambha Pandey; Durgatosh Pandey
Journal:  World J Gastrointest Surg       Date:  2016-05-27

Review 8.  Metastatic Liver Disease Associated with Gastrointestinal Stromal Tumors: Controversies in Diagnostic and Therapeutic Approach.

Authors:  Aikaterini Mastoraki; Eleftheria Toliaki; Eleni Chrisovergi; Sotiria Mastoraki; Ioannis S Papanikolaou; Nikolaos Danias; Vasilios Smyrniotis; Nikolaos Arkadopoulos
Journal:  J Gastrointest Cancer       Date:  2015-09

Review 9.  Systemic treatment of soft-tissue sarcoma-gold standard and novel therapies.

Authors:  Mark Linch; Aisha B Miah; Khin Thway; Ian R Judson; Charlotte Benson
Journal:  Nat Rev Clin Oncol       Date:  2014-03-18       Impact factor: 66.675

10.  Pathology of gastrointestinal stromal tumors.

Authors:  Wai Chin Foo; Bernadette Liegl-Atzwanger; Alexander J Lazar
Journal:  Clin Med Insights Pathol       Date:  2012-07-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.