Literature DB >> 21931502

Prophylactic cranial irradiation in non-small cell lung cancer patients: who might be the candidates?

Charalampos Dimitropoulos1, Georgios Hillas, Sofia Nikolakopoulou, Ioanna Kostara, Konstantinos Sagris, Fotis Vlastos, Manos Alchanatis.   

Abstract

OBJECTIVES: Brain metastases (BMs) often advance the course of non-small cell lung cancer (NSCLC). We performed an observational study in order to investigate the possible correlation of selected clinical and epidemiological factors with BM appearance in patients suffering from different histological subtypes of NSCLC stage I-IV.
METHODS: The study included 161 consecutive patients with NSCLC. Analyzed data included patient- and tumor-related characteristics.
RESULTS: Thirty-nine patients (24.2%) presented BMs within 12 (0-36) weeks of diagnosis. BMs decreased the mean overall survival significantly (15.6 versus 50.7 weeks, P < 0.001), with hazard ratio (95% confidence interval) 3.60 (2.42-5.35). The age of the patients with BM was significantly lower than that of the patients without BM (60.8 ± 8.9 versus 66.5 ± 8.5, P < 0.001). Patients with BM had significantly higher pack-years consumption (75.9 ± 23.9 versus 58.9 ± 31.9, P = 0.003) and larger tumor size compared with patients without BM (size in mm: 55.1 ± 20.1 versus 45.9 ± 19.3, P = 0.012). The presence of BM was also correlated with the absence of lung (P < 0.001), bone (P = 0.005), and adrenal (P = 0.046) metastases.
CONCLUSION: Younger NSCLC patients with high tobacco consumption, large tumor size, and absence of metastases in other organs (lung, bones, adrenal metastases) are at high risk of BM appearance during the course of NSCLC and are candidates for prophylactic cranial irradiation early in the course of the disease.

Entities:  

Keywords:  NSCLC; PCI; brain metastases; clinical and epidemiological factors

Year:  2011        PMID: 21931502      PMCID: PMC3173018          DOI: 10.2147/CMR.S22717

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


Introduction

Lung cancer was the leading cause of death from cancer in Europe in 2006, with 334,800 deaths (19.7% of total).1 Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, representing more than 80% of lung cancer cases.2 Brain metastases (BMs) are a frequent complication of NSCLC, especially in patients with locally advanced disease.3,4 The addition of chemotherapy to radiation therapy (RT) reduces distant metastases and significantly improves survival.5,6 However, chemoradiotherapy is shown not to reduce the rate of BM,5 but to be associated with increased rates of overall brain failure (21%–54%) and an increased incidence of the brain as the first site of relapse (15%–30%).5–8 These findings emphasize the need for treatment specifically directed at brain micrometastases. Prophylactic cranial irradiation (PCI) has been demonstrated to reduce the incidence or delay the onset of BM in patients with locally advanced NSCLC, after initial treatment in numerous selected nonrandomized and randomized studies.3,7,9–16 Nevertheless, during the last decade only few studies assessed the clinical and epidemiological factors associated with high risk of BM appearance in NSCLC patients with locally advanced disease at diagnosis.14,17–20 In these studies, several factors such as duration of survival after diagnosis, performance status, chemotherapy regimens, age at diagnosis, sex, and lung cancer histotype and stage have been associated with the risk of BM development. The authors of this paper hypothesized that among NSCLC patients of stage I–IV may exist a group of patients at high risk of presenting BM that may be protected using PCI. This group should be identified in order to serve as target for future studies of PCI application in NSCLC. We performed an observational study in order to investigate the possible correlation of selected clinical and epidemiological factors with BM appearance in patients suffering from different histological subtypes of NSCLC stage I–IV.

Methods

The study’s cohort

We recruited 161 consecutive patients with a new diagnosis of NSCLC, between January 2003 and March 2009. Patients’ selection criteria were as follows: confirmed diagnosis of NSCLC and appropriate staging. The sixth edition of the tumor–node–metastasis (TNM) classification was used.21 All patients were treated with surgery and/or chemotherapy and/or radiotherapy according to the current guidelines.22,23 They were evaluated every 3–6 months, depending on the curative or palliative nature of the initial treatment. For each patient, the following variables were recorded at the time of diagnosis: age, sex, tobacco consumption, comorbidities, TNM status at diagnosis, tumor histotype, computed tomography (CT) scan features (central/peripheral location, side, lung lobe, size, cavitation, pleural effusion), and bronchoscopic findings. During the study period, the variables of patients with BM were registered and compared with those of patients without BM. All patients gave their informed consent, and the study was approved by the Ethics Committee of the “Sotiria” Chest Diseases Hospital, Athens.

Statistical analysis

Mean values (and standard deviation [SD]) or median values (and interquartile range [IR]) were used to describe quantitative variables. For the comparison of quantitative variables without normal distribution between two groups, and between three or more different groups, the Mann– Whitney test and Kruskal–Wallis test were used, respectively. To compare normal distributed quantitative variables between two groups and between three or more different groups, Student’s t-test and analysis of variance test were used, respectively. To control for type I errors, due to multiple comparisons, Bonferroni correction was used, by which the significance level is defined as 0.05/k (k = number of comparisons). Logistic regression analysis (stepwise method) was used in order to find independent factors associated with BM presentation. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed from the results of logistic analysis. Kaplan–Meyer method was used to estimate survival curves. To compare survival curves, log rank tests were used. Statistical significance was set at 0.05, and all P-values are two tailed. For the statistical analysis, SPSS Statistics 17.0 (IBM Corporation, Somers, NY) and STATA 9.0 (Stata Corp, College Station, TX) programs were used.

Results

Description of the cohort

Patient’s characteristics are summarized in Table 1. Most of the patients were males (88.8%), with mean age (±SD) 65.1 ± 8.9 years and mean tobacco consumption (±SD) of 63.0 ± 31.0 pack-years.
Table 1

Patient- and disease-related characteristics

Characteristicn (%)
Patient-related variables
Sex
Male/female143 (88.8)/18 (11.2)
Age
Mean ± SD65.1 ± 8.9
Pack-years
Mean ± SD63.0 ± 31.0
COPD
No/yes89 (55.3)/72 (44.7)
Arterial hypertension
No/yes98 (60.9)/63 (39.1)
Coronary disease
No/yes132 (82.0)/29 (18.0)
Diabetes mellitus
No/yes136 (84.5)/25 (15.5)
Gastritis/ulcer
No/yes138 (85.7)/23 (14.3)
Hypothyroidism
No/yes154 (95.7)/7 (4.3)
Other comorbidity
No/yes130 (80.7)/31 (19.3)
Disease-related variables
Histotype
Non-differentiated NSCLC49 (30.4)
Squamous49 (30.4)
Adenocarcinoma59 (36.6)
Large cell carcinoma4 (2.6)
Location
Central/peripheral138 (85.7)/23 (14.3)
Bronchoscopic findings
Mass36 (22.4)
Infiltration109 (67.7)
None16 (9.9)
Lung tumor side
Right/left84 (52.2)/77 (47.8)
Lung tumor lobe
Upper113 (70.2)
Middle8 (5.0)
Inferior40 (24.8)
Lung tumor size
Mean ± SD48.1 ± 19.8
Other tumor characteristics
Pleural effusion59 (36.6)
Cavitation12 (7.5)
None90 (55.9)
T classification (brain metastases)a
T1/T213 (8.1)/55 (34.2)
T3/T424 (14.9)/69 (42.9)
N classification (brain metastases)a
N0/N138 (23.6)/16 (9.9)
N2/N370 (43.5)/37 (23.0)
Lung metastasis
No/yes101 (62.7)/60 (37.3)
Bones metastasis
No/yes102 (63.4)/59 (36.6)
Liver metastasis
No/yes124 (77.0)/37 (23.0)
Adrenal metastasis
No/yes126 (78.3)/35 (21.7)
Other metastasis
No/yes144 (89.4)/17 (10.6)
Metastasis brain
No/yes122 (75.8)/39 (24.2)
Diagnosis to brain metastases time (weeks)
Median (IR)12 (0–36)
Number of brain metastases
0/1122 (75.8)/16 (9.9)
2/>26 (3.7)/17 (10.6)
Brain metastasis side
Right12 (30.8)
Left9 (23.0)
Bilateral18 (46.2)
Brain metastasis lobe
Frontal9 (23.1)
Parietal9 (23.1)
Occipital1 (2.6)
Cerebellum2 (5.1)
≥218 (46.2)

Note: TNM (tumor–node–metastasis) classification.21

Abbreviations: COPD, chronic obstructive pulmonary disease; IR, interquartile range; NSCLC, non-small cell lung cancer; SD, standard deviation.

Most of the tumors were located centrally (85.7%). Therefore, they were located within the range of fiber bronchoscopy, which revealed mainly mucosal or submucosal infiltration (67.7%). Most of the tumors were on the right lung (52.2%) and on the upper lobes (70.2%). The mean size (±SD) of the tumors, measured on CT scanners, was 48.1 ± 19.8 mm. Almost one-third (36.6%) were accompanied by pleural effusion at presentation. During the disease course, 37.3% of the patients presented lung, 36.6% bone, 23% liver, and 21.7% adrenal metastases.

BMs

BMs were presented in 24.2% of the patients. The median time (IR) of BM appearance was 12 (0–36) weeks from diagnosis. At the time of BM presentation, most of the patients were classified as T4 (42.9%) and N2 (43.5%) by the TNM classification. A total of 59% of the BMs were ≥2, mostly unilateral (53.8%). The overall survival of the cohort was influenced by the presence of BM (Figure 1). Survival time of the patients with BM was shorter compared with those without BM: 15.6 weeks (standard error [SE] = 1.9) versus 50.7 weeks (SE = 4.8, P < 0.001). The hazard ratio, upon Cox model, for the presence of BM was 3.60 (95% CI 2.42–5.35, P < 0.001).
Figure 1

Kaplan–Meier estimation of overall survival (patients with or without brain metastases).

Abbreviation: meta, metastasis.

The age of patients with BM was significantly lower compared with that of the patients without BM (60.8 ± 8.9 versus 66.5 ± 8.5, P < 0.001) (Table 2). Furthermore, patients with BM had significantly higher pack-years consumption (75.9 ± 23.9 versus 58.9 ± 31.9, P = 0.003) and larger tumor size compared with patients without BM (size in mm: 55.1 ± 20.1 versus 45.9 ± 19.3, P = 0.012). The presence of BM was also correlated with the absence of lung (P < 0.001), bone (P = 0.005), and adrenal (P = 0.046) metastases.
Table 2

Correlation of brain metastases with patient- and disease-related features (univariate analysis)

FeatureBrain metastases
P χ2 test
No (N)Yes (N)
Patient-related variables
Sex
Male/female108/1435/40.833
Age
Mean ± SD66.5 ± 8.560.8 ± 8.9<0.001a
Pack-years
Mean ± SD58.9 ± 31.975.9 ± 23.90.003a
COPD
No/yes68/5421/180.836
Arterial hypertension
No/yes77/4521/180.302
Diabetes mellitus
No/yes102/2034/50.592
Coronary disease
No/yes98/2434/50.332
Hypothyroidism
No/yes118/436/30.361b
Gastritis/ulcer
No/yes105/1733/60.822
Other comorbidity
No/yes97/2533/60.481
Disease-related variables
Histotype
Non-differentiated NSCLC33160.586b
Squamous3811
Adenocarcinoma4811
Large cell carcinoma31
Location
Central/peripheral105/1733/60.822
Bronchoscopic findings
Mass2970.151
Infiltration7831
None151
Lung tumor side
Right/left62/6022/170.543
Lung tumor lobe
Upper86270.657
Middle53
Inferior319
Lung tumor size
Mean ± SD45.9 ± 19.355.1 ± 20.10.012a
Other tumor characteristics
Pleural effusion48110.399
Cavitation84
None6624
T classification (brain metastases)c
T1/T210/373/180.138
T3/T422/532/16
N classification (brain metastases)c
N0/N129/109/60.550
N2/N353/3017/7
Lung metastasis
No/yes67/5534/5<0.001
Bone metastasis
No/yes70/5232/70.005
Liver metastasis
No/yes91/3133/60.195
Adrenal
No/yes91/3135/40.046
Other metastasis
No/yes107/1537/20.205

Notes: Student’s t-test;

Fisher’s exact test;

TNM (tumor–node–metastasis) classification.21

Abbreviations: COPD, chronic obstructive pulmonary disease; NSCLC, non-small cell lung cancer; SD, standard deviation.

Patients with right-sided BM presented a significantly lower rate of arterial hypertension (16.7% versus 83.8%, P = 0.050) (Table 3). None of the patients with unilobar BM suffered from diabetes, compared with patients with multilobar (≥2 lobes) metastases (P = 0.015) (Table 4).
Table 3

Univariate analysis of brain metastases side

Metastasis sideP χ2 test

Right (N)Left (N)Bilateral (N)
Patient-related variables
Sex
Male/female11/19/015/30.546
Age
Mean ± SD57.7 ± 8.362.6 ± 9.961.9 ± 8.70.349a
Pack-years
Mean ± SD80.8 ± 20.284.0 ± 19.668.6 ± 26.80.202a
COPD
No/yes6/65/410/81.000
Arterial hypertension
No/yes10/24/57/110.050
Coronary disease
No/yes12/09/013/50.054
Diabetes mellitus
No/yes11/19/014/40.406
Gastritis/ulcer
No/yes12/07/217/10.216
Hypothyroidism
No/yes12/06/315/30.063
Other comorbidity
No/yes11/17/215/30.740
Disease-related variables
Histotype
Non-differentiated NSCLC6270.194
Squamous245
Adenocarcinoma336
Large cell carcinoma100
Location
Central/peripheral10/28/115/31.000
Diagnosis to brain metastases time (weeks)
Median (IR)18 (4–40)0 (0–26)14 (0–36)0.632b

Notes: Analysis of variance;

Kruskall–Wallis test.

Abbreviations: COPD, chronic obstructive pulmonary disease; IR, interquartile range; NSCLC, non-small cell lung cancer; SD, standard deviation.

Table 4

Univariate analysis of brain metastases lobes

Metastasis lobeP Fisher’s exact test

1 lobe (N)≥2 lobes (N)
Patient-related variables
Sex
Male/female19/216/21.000
Age
Mean ± SD61.0 ± 9.560.6 ± 8.30.891a
Pack-years
Mean ± SD79.1 ± 19.872.2 ± 28.00.377a
COPD
No/yes12/99/90.656b
Arterial hypertension
No/yes13/88/100.276b
Diabetes mellitus
No/yes21/013/50.015
Coronary disease
No/yes20/114/40.104
Hypothyroidism
No/yes19/217/11.000
Gastritis/ulcer
No/yes18/315/31.000
Other comorbidity
No/yes17/416/20.667
Disease-related variables
Histotype
Non-differentiated NSCLC780.088
Squamous56
Adenocarcinoma84
Large cell carcinoma10
Location
Central/peripheral17/416/20.667
Diagnosis to brain metastases time (weeks)
Median (IR)17 (0–32)8 (0–36)0.922c

Notes: Student’s t-test;

Pearson’s χ2 test;

Mann–Whitney test.

Abbreviations: COPD, chronic obstructive pulmonary disease; IR, interquartile range; NSCLC, non-small cell lung cancer; SD, standard deviation.

According to regression analysis, age, tobacco consumption in pack-years, and absence of lung or bone metastases represented independent prognostic factors for the appearance of BM (Table 5). In particular, an increase of age reduced the possibility of BM appearance (OR 0.91; 95% CI 0.87–0.96, P < 0.001). Conversely, increasing cigarette consumption increased the possibility of BM appearance (OR 1.02; 95% CI 1.001–1.030, P = 0.006). Patients without lung and bone metastases had 76% and 70% higher possibility of presenting BM, respectively.
Table 5

Correlation of brain metastases with patient- and disease-related features (multivariate analysis)

VariableOdds ratio95%CIP
Age0.910.870.96<0.001
Pack-years1.021.011.030.006
Lung metastasis
No1.00a
Yes0.240.080.690.008
Bone metastasis
No1.00a
Yes0.300.110.810.018

Note: Represents referral class.

Discussion

The main finding of this observational study was that younger NSCLC patients with high tobacco consumption, large tumor size, and absence of other metastases are at high risk of developing BMs during the course of their disease.

BM appearance and survival

Robnett et al reported that the timing of chest irradiation can influence the risk of brain recurrences: the rate of BM is 27% in patients receiving induction chemotherapy before thoracic RT compared with 15% in patients who are treated with concurrent chemoradiation.17 The 2-year actuarial rate of BM is 39% versus 20%. The authors hypothesize that early aggressive locoregional and systemic treatment could better control regional disease, which in turn affects the development of brain relapses. In accordance with these findings, BMs presented in 39 out of 161 patients (24.2%) in this present study. The rate of BM is quite similar to the rate which has been previously reported by Robnett et al for patients who were not treated with concurrent chemoradiotherapy. The lack of a radiotherapy department in the “Sotiria” Chest Diseases Hospital renders impossible the application of concurrent chemoradiotherapy and therefore leads to the application of the sequential module. Once diagnosed, BMs are mostly treated with wholeb-rain radiotherapy, having a response rate of 45%–81% in NSCLC.24,25 The overall survival of NSCLC patients with BM is poor, reported to be 3–6 months, despite medical treatment.26 The overall survival of the patients in this present study with BM was also poor, approximately 4 months.

Patients who are at high risk of developing BM

The delay of BM appearance is expected to improve prognosis of NSCLC patients. To achieve this, we need objective means to indicate patients at high risk for developing BM. Some studies have already been oriented towards this direction. Biologic agents like neuron specific enolase, carcinoembryonic antigen, serum sodium levels, or numerous molecular markers have been correlated with the development of BM and a shorter survival.26–28 Nevertheless, specific phenotypic characteristics may also serve as surrogate prognostic factors. Earlier studies correlated the presence of BM with advanced stage, NSCLC histotypes, delay of lung radiotherapy, younger age, and large tumor size.28–32 However, few studies assessed in this regard tobacco consumption, comorbidities, CT scanner tumor characteristics, or the presence of metastases other than BMs.

Age at diagnosis

Age < 60 years was shown to be associated with an increased risk of BM.30,33,34 In this present study, younger age (60.8 ± 8.9 years) was correlated with a higher possibility of BM appearance (Table 2). However, younger patients with BM present a better performance status and longer survival, while they may tolerate aggressive treatment better and are willing to accept a higher risk of toxicity than older patients.26,35

T and N status

T4 initial status was associated with increased risk of BM in a multivariate analysis of 305 patients with localized NSCLC.30 The N2 status was found to be predictive of BM by Jacobs et al and by Tang et al.36,37 In this study, lung tumor size was correlated with the appearance of BM (55.1 ± 20.1 cm) (Table 2). This finding is in agreement with the study of Mujoomdar et al.31 However, no correlation was found with the T status itself. T status, as well as N status, has been correlated with BM outbreak in recent studies.30,31 As is the case in the study of Shi et al, the authors of this present study found most of the primary tumors to be located in the right lung and in the upper lobes.32 These frequent locations of lung tumor did not seem to correlate with the appearance of BM.32 Central or peripheral location of primary lung tumor was not found to be correlated to BM, which is in agreement with the study of Mujoomdar et al.31

M status

Previous studies speculate that the spread of lung cancer to the thoracic lymphatic system and to the brain could also relate to the presence of distant metastatic disease in other organs.31 So far, no study has confirmed this hypothesis. On the contrary, in this present study, appearance of BM was correlated with the absence of metastases in other organs, like lung, bone, and adrenal glands. Except adrenal metastases,27 synchronous metastases in other organs have not been correlated with median survival, probably as a result of already poor prognosis of the BM.26

Tobacco consumption

Smoking status has already been correlated with poor prognosis and shorter overall survival in lung cancer patients,18 but no correlation was found with BM. In this study’s cohort, high tobacco consumption (75.9 ± 23.9 pack-years) was correlated with the outbreak of BM.

NSCLC histological subtype

In previous studies, non-squamous lung cancer, mainly lung adenocarcinoma, showed higher prevalence of BM development.30–32 In this study, no correlation was found between NSCLC histotype and BM appearance. This discordance is probably a result of the small number of allocated groups and the relatively large number of unspecified NSCLC tumors in the present study.

PCI

Prophylactic cranial irradiation (PCI) has been demonstrated to reduce the incidence or delay the onset of BM in patients with locally advanced NSCLC after initial treatment.3,7,9–16 Thus, identification of risk population for BM development is pertinent. Specific phenotypes of patients at higher risk for BM development could serve as candidates of PCI and could allow early intervention, which seems more promising than the palliative approach.

Limitations

The patients in this current study were treated with sequential rather than concurrent chemoradiotherapy despite the current treatment guidelines. This limitation of the study is due to the lack of a radiotherapy department in the “Sotiria” Chest Diseases Hospital. The pathologic data lack molecular markers, which could be related to the overall survival as is the case in many recent studies. In fact, during the study period, molecular data were not available.

Implications

This study records the deleterious effect of BMs on NSCLC patient survival, enriches the high risk profile with more features, and contributes to the discussion of pathophysiologic mechanisms underlying the brain involvement in NSCLC. More studies are needed in order to elucidate these issues.

Conclusion

Younger NSCLC patients with high tobacco consumption, large tumor size, and absence of other metastases (lung, bones, adrenal metastases) are at high risk of BM appearance during the course of NSCLC and may be candidates for PCI early in the course of their disease. Apart from genome-based studies, phenotype-based studies may contribute to future lung cancer therapy.
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Authors:  W Michael Alberts
Journal:  Chest       Date:  2007-09       Impact factor: 9.410

2.  Brain metastases in very young patients with lung cancer are still brain metastases.

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Journal:  Onkologie       Date:  2008-05-27

3.  Factors affecting the risk of brain metastases after definitive chemoradiation for locally advanced non-small-cell lung carcinoma.

Authors:  T J Robnett; M Machtay; J P Stevenson; K M Algazy; S M Hahn
Journal:  J Clin Oncol       Date:  2001-03-01       Impact factor: 44.544

4.  Patterns of relapse of N2 nonsmall-cell lung carcinoma patients treated with preoperative chemotherapy: should prophylactic cranial irradiation be reconsidered?

Authors:  F Andre; D Grunenwald; J L Pujol; P Girard; A Dujon; L Brouchet; P Y Brichon; V Westeel; T Le Chevalier
Journal:  Cancer       Date:  2001-06-15       Impact factor: 6.860

5.  Pronostic factors of synchronous brain metastases from lung cancer.

Authors:  N Penel; A Brichet; B Prevost; A Duhamel; R Assaker; F Dubois; J J Lafitte
Journal:  Lung Cancer       Date:  2001 Aug-Sep       Impact factor: 5.705

6.  Treatment of brain metastasis from non-small cell lung cancer with whole brain radiotherapy and Gefitinib in a Chinese population.

Authors:  Shenglin Ma; Yaping Xu; Qinghua Deng; Xinmin Yu
Journal:  Lung Cancer       Date:  2008-12-16       Impact factor: 5.705

7.  Prophylactic cranial irradiation in operable stage IIIA non small-cell lung cancer treated with neoadjuvant chemoradiotherapy: results from a German multicenter randomized trial.

Authors:  Christoph Pöttgen; Wilfried Eberhardt; Andreas Grannass; Soenke Korfee; Georg Stüben; Helmut Teschler; Georgios Stamatis; Horst Wagner; Bernward Passlick; Volker Petersen; Volker Budach; Hans Wilhelm; Isabel Wanke; Herbert Hirche; Hans-Jochen Wilke; Martin Stuschke
Journal:  J Clin Oncol       Date:  2007-11-01       Impact factor: 44.544

8.  Multivariate analysis of factors predictive of brain metastases in localised non-small cell lung carcinoma.

Authors:  A Bajard; V Westeel; A Dubiez; P Jacoulet; D Pernet; J C Dalphin; A Depierre
Journal:  Lung Cancer       Date:  2004-09       Impact factor: 5.705

9.  Concomitant treatment of brain metastasis with whole brain radiotherapy [WBRT] and temozolomide [TMZ] is active and improves quality of life.

Authors:  Raffaele Addeo; Michele Caraglia; Vincenzo Faiola; Elena Capasso; Bruno Vincenzi; Liliana Montella; Rosario Guarrasi; Luigi Caserta; Salvatore Del Prete
Journal:  BMC Cancer       Date:  2007-01-25       Impact factor: 4.430

10.  Prophylactic cranial irradiation in locally advanced non-small cell lung cancer: outcome of recursive partitioning analysis group 1 patients.

Authors:  Ali Aydin Yavuz; Erkan Topkan; Cem Onal; Melek Nur Yavuz
Journal:  J Exp Clin Cancer Res       Date:  2008-12-04
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  10 in total

1.  Predicting brain metastases for non-small cell lung cancer based on magnetic resonance imaging.

Authors:  Gang Yin; Churong Li; Heng Chen; Yangkun Luo; Lucia Clara Orlandini; Pei Wang; Jinyi Lang
Journal:  Clin Exp Metastasis       Date:  2017-01-18       Impact factor: 5.150

2.  Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers.

Authors:  Sung Jun Ahn; Hyeokjin Kwon; Jun Won Kim; Goeun Park; Mina Park; Bio Joo; Sang Hyun Suh; Yoon Soo Chang; Jong-Min Lee
Journal:  Front Oncol       Date:  2022-05-10       Impact factor: 5.738

Review 3.  [Progress of treatments in non-small cell lung cancer with brain metastases].

Authors:  Chunhua Ma; Rong Jiang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2012-05

4.  Risk factors of metachronous brain metastasis in patients with EGFR-mutated advanced non-small cell lung cancer.

Authors:  Wen Ouyang; Jing Yu; Yan Zhou; Jing Hu; Zhao Huang; Junhong Zhang; Conghua Xie
Journal:  BMC Cancer       Date:  2020-07-28       Impact factor: 4.430

Review 5.  Risk factors for brain metastases in patients with non-small-cell lung cancer.

Authors:  Ning An; Wang Jing; Haoyi Wang; Ji Li; Yang Liu; Jinming Yu; Hui Zhu
Journal:  Cancer Med       Date:  2018-11-08       Impact factor: 4.452

6.  Risk factors of brain metastases as initial failure in completely resected stage IIIA(N2) non-small cell lung cancer.

Authors:  Qin Zhang; Xu-Wei Cai; Wen Feng; Wen Yu; Xiao-Long Fu
Journal:  Ann Transl Med       Date:  2020-03

7.  A phase I trial of concurrent chemoradiotherapy with non-split administration of docetaxel and cisplatin for dry stage III non-small-cell lung cancer (JCOG9901DI).

Authors:  Naoya Hida; Hiroaki Okamoto; Yuuki Misumi; Akira Sato; Mari Ishii; Fumihiro Kashizaki; Tsuneo Shimokawa; Teppei Shimizu; Koshiro Watanabe
Journal:  Cancer Chemother Pharmacol       Date:  2012-05-08       Impact factor: 3.333

8.  Brain metastases in lung adenocarcinoma: impact of EGFR mutation status on incidence and survival.

Authors:  Karmen Stanic; Matjaz Zwitter; Nina Turnsek Hitij; Izidor Kern; Aleksander Sadikov; Tanja Cufer
Journal:  Radiol Oncol       Date:  2014-04-25       Impact factor: 2.991

9.  Risk factors of brain metastasis during the course of EGFR-TKIs therapy for patients with EGFR-mutated advanced lung adenocarcinoma.

Authors:  Xiaoyan Ma; Hui Zhu; Hongbo Guo; Anqin Han; Haiyong Wang; Wang Jing; Yan Zhang; Li Kong; Jinming Yu
Journal:  Oncotarget       Date:  2016-12-06

Review 10.  [Advance of prophylactic cranial irradiation in lung cancer].

Authors:  Kan Wu; Bing Xia; Shenglin Ma
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2012-09
  10 in total

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