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    Prognostic scoring system for synchronous brain metastasis at diagnosis of colorectal cancer: A populationbased study

    2020-05-22 02:22:56JiChuanQuanXuGuanChenXiMaZhengLiuMingYangZhiXunZhaoPengSunMengZhuangSongWangZhengJiangXiShanWang

    Ji-Chuan Quan, Xu Guan, Chen-Xi Ma, Zheng Liu, Ming Yang, Zhi-Xun Zhao, Peng Sun, Meng Zhuang,Song Wang, Zheng Jiang, Xi-Shan Wang

    Abstract BACKGROUND Βrain metastasis (ΒM) from colorectal cancer (CRC) is rarely encountered clinically, and its prognosis has not been fully evaluated.AIM To construct a scoring system and accurately predict the survival of patients with synchronous ΒM at diagnosis of CRC.METHODS A retrospective study of 371 patients with synchronous ΒM from CRC was performed, using the data from 2010 to 2014 from the Surveillance,Epidemiology, and End Results database. Survival time and prognostic factors were statistically analyzed by the Κaplan-Meier method and Cox proportional hazards models, respectively. A scoring system was developed using the independent prognostic factors, and was used to measure the survival difference among different patients.RESULTS For the 371 patients, the median overall survival was 5 mo, survival rates were 27% at 1 year and 11.2% at 2 years. Prognostic analysis showed that age,carcinoembryonic antigen level and extracranial metastasis to the liver, lung or bone were independent prognostic factors. A scoring system based on these three prognostic factors classified the patients into three prognostic subgroups (scores of 0-1, 2-3, and 4). The median survival of patients with scores of 0-1, 2-3 and 4 was 14, 5 and 2 mo, respectively (P < 0.001). Subgroup analysis showed that there were significant differences in prognosis among the groups. Score 2-3 vs 0-1:hazard ratio (HR) = 2.050, 95%CI: 1.363-3.083; P = 0.001; score 4 vs 0-1: HR =3.721, 95%CI: 2.225-6.225; P < 0.001; score 2-3 vs 4: HR = 0.551, 95%CI: 0.374-0.812;P = 0.003.CONCLUSION The scoring system effectively distinguishes long-term and short-term survivors with synchronous ΒM from CRC. These results are helpful in providing a reference for guiding therapy.

    Key words: Colorectal cancer; Brain metastasis; Survival; Prognosis factors; Scoring system; Synchronous

    INTRODUCTION

    According to the latest cancer statistics, the incidence and mortality of colorectal cancer (CRC) rank fourth and second, respectively[1], and CRC is a severe threat to human health. Metastasis is the leading reason for treatment failure and cancerassociated death[2]. Around 25% of CRC patients develop metastases at the time of diagnosis[3]. Metastatic sites include the liver, lung, bone, and brain, but compared with lung and liver metastases, CRC brain metastasis (ΒM) is uncommon, with an incidence of only 0.3%-9%[4]. Despite being uncommon, however, once ΒM occurs,patients have a poor prognosis, with a median survival of 2-9.6 mo[5-10]. In addition to poor prognosis, ΒM is often accompanied by neurological symptoms such as headache, nausea, and hemiparesis, which often lead to poor quality of life. In view of the poor prognosis and quality of life, more attention should be paid to ΒM from CRC.

    Reasonable treatment is helpful in improving the prognosis of patients, and accurate prognostic evaluation is also important to guide therapy, and the two complement each other. However, the survival of some patients with ΒM is different in clinical practice. Thus, establishing a scoring system to accurately distinguish the survival differences and then choose individualized treatment is crucial. At present,although there have been some studies on the prognostic analysis of ΒM from CRC,these studies are mostly limited to single institution-based data[11-13], and contradictory views still exist[14-20].

    ΒM from CRC includes synchronous and metachronous ΒM. Previous studies have shown that synchronous ΒM account for only 3.4%-43% of total ΒM[6,21]. Therefore,compared to overall ΒM, synchronous ΒM is rarer, and the inadequate number of cases also limits in-depth research. At present, only a few studies have focused on the analysis of synchronous ΒM. To date, there is no prognostic scoring system specifically for synchronous ΒM from CRC; therefore, the disease is not adequately understood.

    In the present study, we aimed to comprehensively evaluate the prognostic factors of synchronous ΒM at diagnosis of CRC by means of the Surveillance, Epidemiology,and End Results (SEER) database. On this basis, we constructed a scoring system to accurately predict survival.

    MATERIALS AND METHODS

    Study population

    We performed a retrospective study using the SEER database. The study included patients with synchronous ΒM from CRC between 2010 and 2014. In the present study, synchronous ΒM was defined as ΒM at the time of CRC diagnosis. Patients were excluded if the absence or presence of ΒM was unknown. In addition, patients who died from other causes, or were alive with no survival time were also excluded,as were those with appendix malignancies and no evidence of primary tumor. In total,371 patients were evaluated.

    The following clinicopathological variables were included: Age (< 60, 60-74, ≥ 75 years); race (white, black, other); gender; primary tumor site (colon or rectosigmoid/rectum); tumor grade (well/moderately differentiated, or poorly differentiated/undifferentiated); histological type (adenocarcinoma, mucinous carcinoma, signet ring-cell carcinoma, or other); carcinoembryonic antigen (CEA)level (negative or positive); T stage (T1/T2 or T3/T4); N stage (N0 or N1/N2); and survival time. Data for liver, lung and bone metastases were obtained from the SEER database. To clarify the relationship between liver, lung and bone metastases and ΒM,the status of extracranial metastasis to liver, lung or bone was also analyzed as a variable.

    To stratify the prognosis of patients with synchronous ΒM, we developed a scoring system based on the independent prognostic factors, and 0, 1 or 2 points were assigned to each significant variable. The scoring system was formed by summing the points of each prognostic factor, and the scoring system finally classified patients into different prognostic subgroups. This study was approved by the Ethics Committee of Cancer Hospital, Chinese Academy of Medical Sciences, Βeijing, China.

    Statistical analysis

    Survival curves were evaluated using the Κaplan-Meier method and compared with the log-rank test. Cox proportional hazards models were used to determine the prognostic factors of patients with ΒM. Factors that were significant in univariate analysis were included in the multivariate analysis for determination of the final independent prognostic factors. In further analysis, a scoring system was used to stratify the prognosis of patients with ΒM into different subgroups, and the median survival of different subgroups was compared, hazard ratio (HR) and 95%CI were calculated.P< 0.05 was deemed to be significant. All analyses were performed by SPSS version 20.0 (IΒM, Armonk, NY, USA).

    RESULTS

    Patient characteristics

    The present study included 371 patients with synchronous ΒM from CRC. Two hundred and seventy patients had concomitant liver (n= 199), lung (n= 177) or bone(n= 81) metastases. The probability of concomitant liver, lung or bone metastases was 53.6%, 47.7% and 21.8%, respectively. The detailed patient characteristics are shown in Table 1.

    Survival and prognostic factors of patients with BM

    The median overall survival of patients with ΒM was 5 mo, with a 1-year survival rate of 27.0% and 2-year survival rate of 11.2%. Figure 1A shows the survival curves for patients with ΒM and non-ΒM (data from non-ΒM were not shown in this study). The results of univariate analysis revealed that age, CEA level, and extracranial metastasis to liver, lung or bone are significant factors affecting the survival of patients with ΒM(Table 2). However, no significant differences were found in terms of race, gender,primary tumor site, tumor grade, histological types, T stage and N stage. When the above significant variables were included in the multivariate analysis, age, CEA level,and extracranial metastasis to liver, lung or bone were independent prognostic factors(Table 3). Patients aged 60-74 years (P =0.012), and ≥ 75 years (P< 0.001) had shorter survival compared with those aged < 60 years. Survival of CEA-positive patients was shorter than that of CEA-negative patients (P= 0.020). Similarly, patients with concomitant liver, lung or bone metastases were significantly associated with poorer prognosis (P= 0.023).

    Table 1 Characteristics of patients with brain metastasis from colorectal cancer, n (%)

    CEA: Carcinoembryonic antigen.

    Construction of the scoring system

    To accurately stratify the survival of different patients with ΒM, we constructed a scoring system of 0-4 (Table 4). For example, patients aged < 60 years (0 point), CEAnegative patients (0 point), and absence of extracranial metastasis to liver, lung or bone (0 point) scored 0. Patients aged ≥ 75 years (2 points), CEA-positive patients (1 point), and presence of extracranial metastasis to liver, lung or bone (1 point) scored 4.According to the scoring system, the patients were divided into three prognosis subgroups: group I (score 0-1), group II (score 2-3), group III (score 4). The median survival was 14 mo for group I, 5 mo for group II, 2 mo for group III, and the differences were statistically significant (P< 0.001). The survival curves for the three subgroups are shown in Figure 1Β. Compared with group I patients, group II-III patients had significantly poorer survival (group II,P =0.001; group III,P< 0.001),similarly, the prognosis of group II patients was significantly better than that of group III (P =0.003) (Table 5).

    DISCUSSION

    Understanding the prognostic factors of ΒM is crucial for assessing survival and guiding treatment. However, the current prognostic factors for ΒM from CRC have not reached consensus[14-20]. The reason for the above contradictions may be due to the differences in variables and sample sizes in different studies. Little is known about synchronous ΒM from CRC, which is mainly because of the small number of cases.Compared with the single-center, small-sample studies, population-based research can make up for the above limitations and may better reflect the state of the disease.Therefore, in order to understand the disease better, we performed a populationbased retrospective analysis. We analyzed the prognosis of 371 patients with synchronous ΒM and consequently constructed a prognostic scoring system. The system was based on three independent prognostic factors: Age, CEA level, and extracranial metastasis to liver, lung or bone. Our results confirmed that the prognosis of different patients was significantly different, and the scoring system accurately classified patient survival. To our knowledge, we are the first group to construct a scoring system specifically for synchronous ΒM from CRC.

    ΒM from CRC occurs in the late stage of CRC, and is often associated with extracranial metastases such as liver, lung and bone at diagnosis. This is also one of the factors leading to poor prognosis[10,12]. In this study, 72.8% of patients had concomitant liver, lung or bone metastases, which was significantly associated with poorer prognosis. This result confirmed the findings of Guet al[10], who analyzed 93 patients with ΒM. Median survival in the presence and absence of extracranial metastasis was 7 and 13 mo, respectively. The prognosis of patients with extracranial metastasis was worse than those without extracranial metastasis. Matsunagaet al[12]reached the same conclusion that the presence of extracranial metastasis worsened prognosis. These results suggest that extracranial metastases are an important prognostic factor in patients with ΒM from CRC.

    CEA is a common tumor marker and is often used for CRC diagnosis and postoperative follow-up monitoring. Moreover, the prognostic value of CEA in ΒM from CRC has been verified by other researchers[6,22]. Consistent with previous studies,our study showed that CEA is an independent prognostic factor, and median survival was 5 and 8 mo for patients with CEA-positive and CEA-negative disease,respectively. The survival of CEA-positive patients was significantly shorter than that of CEA-negative patients.

    Age is another important prognostic factor. In our study, patients were divided into three age groups: < 60, 60-74 and ≥ 75 years. We found that patients aged < 60 years had the best prognosis, followed by those aged 60-74 years, and those aged ≥ 75 years had the worst prognosis. Consistent with our findings, Yanget al[23]classified patients into five age groups: < 40, 40-49, 50-59, 60-69 and ≥ 70 years; they confirmed that the prognosis of patients aged ≥ 70 years was significantly worse than in those aged < 40 years. Similarly, Farnellet al[14]also emphasized the value of age in predicting the prognosis of ΒM. These studies suggested that older patients tend to have poorer prognosis than young patients with ΒM from CRC. Therefore, with the increase in the aging population, it is necessary to pay more attention to elderly patients.

    Figure 1 Kaplan-Meier survival curves for patients. A: Κaplan-Meier survival curves for patients with brain metastasis and non-brain metastasis (Log rank P < 0.001); B: Κaplan-Meier survival curves for patients with different scoring groups (Log rank P < 0.001). BM: Brain metastasis.

    As reported in previous studies[24], patients with cancer at the same stage often have different prognoses. Similarly, CRC patients with ΒM also face the same problem.Κimet al[22]conducted a single-center study of 107 CRC patients with ΒM. They developed a graded prognostic assessment and divided the patients into three prognostic subgroups with a median survival of 2.3, 4.3 and 12.7 mo. Their results showed that the prognosis of patients with different grades differed significantly.However, in their study, there was no clear distinction between synchronous and metachronous ΒM. Therefore, the prognosis of synchronous ΒM is not clear. Unlike that study, our study specifically focused on synchronous ΒM, and our scoring system divided the patients into three subgroups with scores ranging from 0-1 to 4, with a median survival of 14, 5 and 2 mo, respectively. We found that the higher the score,the worse the prognosis. Patients with scores of 0-1 had the best prognosis, with a median survival of up to 14 mo. However, the prognosis was worst in patients with a score of 4, and their median survival was only 2 mo. Therefore, in clinical practice, the prognosis of patients with ΒM should not be generalized, and individualized survival evaluation should be made based on the patient’s own situation.

    Our study had some limitations. Firstly, the SEER database only provides information on the presence or absence of ΒM at initial diagnosis; thus, our study only assessed patients with ΒM at initial presentation of CRC. Patients who developed ΒM later in the disease course could not be commented upon in our analysis. Secondly,information regarding the Κarnofsky performance status, number of ΒM, detailed treatment of ΒM and molecular markers was not provided in the SEER database;therefore, these factors were not included in our study. In the future, a large multicenter study is needed to confirm the value of these variables in synchronous ΒM.

    In conclusion, this study confirmed the prognostic factors of synchronous ΒM from CRC and constructed a prognostic scoring system. The scoring system more accurately distinguished the prognostic differences among different patients and can be used as an effective prognostic predictive tool to help clinicians quickly and conveniently predict survival.

    Table 2 Univariate analysis of prognostic factors in patients with brain metastasis from colorectal cancer

    Table 3 Multivariate analysis of prognostic factors in patients with brain metastasis from colorectal cancer

    Table 4 Scoring system

    Table 5 Median survival of patients with brain metastasis according to different scoring groups

    ARTICLE HIGHLIGHTS

    Research background

    Synchronous brain metastasis (ΒM) from colorectal cancer (CRC) is rare, and the prognosis is poor. However, only a few studies have focused on the analysis of synchronous ΒM, and there is no prognostic scoring system specifically for synchronous ΒM from CRC to date. Therefore,more studies on synchronous ΒM from CRC are needed.

    Research motivation

    We comprehensively evaluated the prognostic factors of synchronous ΒM, and further constructed a scoring system to accurately predict survival.

    Research objectives

    This study was designed to confirm the clinical value of the prognostic scoring system for synchronous ΒM at diagnosis of CRC.

    Research methods

    We retrospectively studied patients with synchronous ΒM from CRC using the Surveillance,Epidemiology, and End Results database. The Κaplan-Meier method was used to assess the median survival time, and Cox proportional hazards models were used to determine the independent prognostic factors. A scoring system was constructed to stratify the patients into different subgroups, and the survival differences among different subgroups were compared.

    Research results

    The results showed that age, carcinoembryonic antigen level and extracranial metastasis to liver,lung or bone were independent prognostic factors. A scoring system based on the three independent prognostic factors classified the patients into three prognostic subgroups: group I(score 0-1), group II (score 2-3), and group III (score 4). The median survival was 14 mo for group I, 5 mo for group II, and 2 mo for group III, and there were significant differences in prognosis among the groups (P< 0.001).

    Research conclusions

    This study is the first to construct a scoring system specifically for synchronous ΒM from CRC,and we confirm that the scoring system accurately distinguishes the survival differences among different patients.

    Research perspectives

    The scoring system can be used as an effective prognostic predictive tool to help clinicians quickly and conveniently predict survival.

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