Serum tumor markers as predictors for survival in advanced non-small cell lung cancer patients treated with gefitinib

Tumor marker-based RecistTM is superior to RECIST as criteria to predict the long-term benefits of targeted therapy in advanced non-small-cell lung cancer with driver gene mutations

BACKGROUND

Tyrosine kinase inhibitors (TKIs) are standard first-line treatments for advanced non-small-cell lung cancer (NSCLC) with driver gene mutations. The Response Evaluation Criteria in Solid Tumors (RECIST) are limited in predicting long-term patient benefits. A tumour marker-based evaluation criteria, RecistTM, was used to investigate the potential for assessing targeted-therapy efficacy in lung cancer treatment.

METHODS

We retrospectively analysed patients with stage IIIA-IV NSCLC and driver gene mutations, whose baseline tumour marker levels exceeded the pre-treatment cut-off value three-fold and who received TKI-targeted therapy as a first-line treatment. We compared efficacy, progression-free survival (PFS), and overall survival (OS) between RecistTM and RECIST.

FINDINGS

The median PFS and OS differed significantly among treatment-response subgroups based on RecistTM but not RECIST. The predicted 1-, 2-, and 3-year disease-progression risk, according to area under the receiver operating characteristic curve, as well as the 1-, 3-, and 5-year mortality risk, differed significantly between RecistTM and RECIST. The median PFS and OS of tmCR according to RecistTM, was significantly longer than (CR+PR) according to RECIST. Imaging analysis revealed that the ΔPFS was 11.27 and 6.17 months in the intervention and non-intervention groups, respectively, suggesting that earlier intervention could extend patients' PFS.

INTERPRETATION

RecistTM can assess targeted-therapy efficacy in patients with advanced NSCLC and driver gene mutations, along with tumour marker abnormalities. RecistTM surpasses RECIST in predicting short- and long-term patient benefits, and allows the early identification of patients resistant to targeted drugs, enabling prompt intervention and extending the imaging-demonstrated time to progression.

The correlation between pre-treatment CEA levels and the EGFR mutation status in advanced lung adenocarcinoma

BACKGROUND

The discovery of the epidermal growth factor receptor (EGFR) mutation, especially in adenocarcinoma, has led to a major change in the treatment of non-small-cell lung cancer (NSCLC). This study investigated the relationship between the EGFR mutation status and the carcinoembryonic antigen (CEA) levels at the time of diagnosis.

MATERIALS AND METHODS

A total of 102 patients with EGFR mutation and tested CEA levels were recruited for this study. Of the patients, 24 were EGFR mutants (23.5%), while 78 patients (76.5%) did not harbor any EGFR mutations.

RESULTS

The CEA levels did not differ across groups. Additionally, the CEA levels were analyzed between female and male patients separately due to EGFR mutations; no difference was observed. When the CEA levels were categorized as positive or negative based on different cut-off values, such as 5 and 10 ng/ml, no statistical difference was found between groups.

CONCLUSION

In this study, no relationship between EGFR mutation and pre-treatment CEA levels was observed. Despite positive trials having shown a predictive value of CEA levels for EGFR mutation, more clinical trials are needed to elucidate the racial, clinical, and pathological differences of the study populations. Most studies have been located in the Far East, but new trials in Caucasian, African, and Hispanic populations are still lacking.

Prognostic value of blood-based protein biomarkers in non-small cell lung cancer: A critical review and 2008-2022 update

BACKGROUND

Therapeutic possibilities for non-small cell lung cancer (NSCLC) have considerably increased during recent decades.

OBJECTIVE

To summarize the prognostic relevance of serum tumor markers (STM) for early and late-stage NSCLC patients treated with classical chemotherapies, novel targeted and immune therapies.

METHODS

A PubMed database search was conducted for prognostic studies on carcinoembryonic antigen (CEA), cytokeratin-19 fragment (CYFRA 21-1), neuron-specific enolase, squamous-cell carcinoma antigen, progastrin-releasing-peptide, CA125, CA 19-9 and CA 15-3 STMs in NSCLC patients published from 2008 until June 2022.

RESULTS

Out of 1069 studies, 141 were identified as meeting the inclusion criteria. A considerable heterogeneity regarding design, patient number, analytical and statistical methods was observed. High pretherapeutic CYFRA 21-1 levels and insufficient decreases indicated unfavorable prognosis in many studies on NSCLC patients treated with chemo-, targeted and immunotherapies or their combinations in early and advanced stages. Similar results were seen for CEA in chemotherapy, however, high pretherapeutic levels were sometimes favorable in targeted therapies. CA125 is a promising prognostic marker in patients treated with immunotherapies. Combinations of STMs further increased the prognostic value over single markers.

CONCLUSION

Protein STMs, especially CYFRA 21-1, have prognostic potential in early and advanced stage NSCLC. For future STM investigations, better adherence to comparable study designs, analytical methods, outcome measures and statistical evaluation standards is recommended.

Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort study

Background

Timely identification of epidermal growth factor receptor (EGFR) mutation and anaplastic lymphoma kinase (ALK) rearrangement status in patients with non-small cell lung cancer (NSCLC) is essential for tyrosine kinase inhibitors (TKIs) administration. We aimed to use artificial intelligence (AI) models to predict EGFR mutations and ALK rearrangement status using common demographic features, pathology and serum tumor markers (STMs).

Methods

In this single-center study, demographic features, pathology, EGFR mutation status, ALK rearrangement, and levels of STMs were collected from Wuhan Union Hospital. One retrospective set (N = 1089) was used to train diagnostic performance using one deep learning model and five machine learning models, as well as the stacked ensemble model for predicting EGFR mutations, uncommon EGFR mutations, and ALK rearrangement status. A consecutive testing cohort (n = 1464) was used to validate the predictive models.

Results

The final AI model using the stacked ensemble yielded optimal diagnostic performance with areas under the curve (AUC) of 0.897 and 0.883 for predicting EGFR mutation status and 0.995 and 0.921 for predicting ALK rearrangement in the training and testing cohorts, respectively. Furthermore, an overall accuracy of 0.93 and 0.83 in the training and testing cohorts, respectively, were achieved in distinguishing common and uncommon EGFR mutations, which were key evidence in guiding TKI selection.

Conclusions

In this study, driverless AI based on robust variables could help clinicians identify EGFR mutations and ALK rearrangement status and provide vital guidance in TKI selection for targeted therapy in NSCLC patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12931-022-02053-2.

Early serum tumor marker levels after fourteen days of tyrosine kinase inhibitor targeted therapy predicts outcomes in patients with advanced lung adenocarcinoma

Objective

Image evaluation strategy for lung cancer patients has difficulty obtaining the appropriate quantity of diffuse lung nodules and bone metastases. The study was to demonstrate whether early variations in the levels of serum 4-tumor markers (4-TMs)(carcinoembryonic antigen [CEA], cancer antigen [CA]125, CA19-9, and CA15-3) after TKI targeted therapy were associated with treatment response in patients with lung adenocarcinoma.

Methods

Patients with stage IIIB-IV lung adenocarcinoma taking epidermal growth factor receptor (EGFR) TKIs or anaplastic lymphoma kinase (ALK) inhibitors were enrolled prospectively from June 2012 to February 2015. According to the variations of the percentage of change in 4-TM levels (4-TMpc), we divided patients into ascending (increases in 4-TMpc over the 7th- 14th day) and descending (decreases in 4-TMpc over the 7th- 14th day) groups.

Results

184 patients were enrolled, and 89% had at least one of the pre-treatment evaluable TMs and were further analyzed. An excellent response to the TKI targeted therapy was accurately predicted in the descending group, as determined using receiver operating characteristic curve analysis (an area under the curve, 0.83). Multivariate Cox hazards model analyses demonstrated that the type of 4-TMpc and mutation status were the strongest predictors of progression-free survival (PFS)(descending versus ascending, hazard ratios [HR] 0.30, 95% confidence interval [CI], 0.19–0.47; sensitive mutation versus wide type, HR 0.30, 95% CI, 0.19–0.48).

Conclusions

Type of 4-TMpc 14 days after TKI targeted therapy is associated with an image response and PFS, without regarding mutation status, in patients with advanced lung adenocarcinoma.

18F-FDG PET/CT SUVmax and serum CEA levels as predictors for EGFR mutation state in Chinese patients with non-small cell lung cancer

The epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) contribute to an increased response rate, compared with chemotherapy, in patients with inhibitor-sensitive EGFR mutations. The present study evaluated the association between the maximum standardized uptake value (SUV_max) of ¹⁸F-fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT), as well as serum carcinoembryonic antigen (CEA) levels and EGFR mutations prior to treatment, in patients with non-small cell lung cancer (NSCLC). Patients with histologically confirmed NSCLC (n=167), who underwent an ¹⁸F-FDG PET/CT scan, EGFR mutation analysis and a serum CEA test participated in the present study. Multivariate logistic regression analysis was used to analyze predictors of EGFR mutations. Receiver-operating characteristic (ROC) curve analysis was performed to determine the efficient cut-off value. Survival rate analysis was evaluated according to SUV_max and EGFR mutation status. A decreased SUV_max and an increased CEA level was observed in patients with EGFR-mutations, compared with patients with wild-type primary lesions and metastatic lymph nodes. The exon 19 EGFR mutation was associated with increased SUV_max, compared with the exon 21 L858R mutation. The ROC analysis indicated that an ¹⁸F-FDG PET/CT uptake SUV_max >11.5 may be a predictor of the wild-type EGFR genotype and increased CEA levels (CEA >9.4 ng/ml) were associated with EGFR mutations. Furthermore, patients with no smoking history, low SUV_max of the primary tumor, metastatic lymph nodes and a high CEA level were significantly associated with EGFR mutation status. The results of the present study indicated that patients with advanced NSCLC, particularly Chinese patients, with decreased SUV_max and increased CEA levels are associated with EGFR mutations, which may serve as predictors for the EGFR-TKI therapeutic response.

Tumor shrinkage rate as a potential marker for the prediction of long-term outcome in advanced non-small cell lung cancer treated with first-line tyrosine kinase inhibitors

Context

Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) play an indispensable role in the treatment of non-small cell lung cancer (NSCLC), leading to a survival major breakthrough, but there remains no uniform standard for predicting the efficacy of TKI therapy.

Aims

We retrospectively reviewed the use of EGFR-TKIs for advanced NSCLC between January 2009 and December 2017 in a hospital, which 169 patients who treated with first-line TKIs were enrolled.

Subjects and Methods

Multiple clinical factors, including histology, age, and sex, were analyzed. We calculated the tumor shrinkage rate (TSR) by measuring the longest diameters of the main mass by computed tomography (CT) before TKI therapy and the first CT after TKI therapy. We evaluated overall survival (OS) and progression-free survival (PFS) after first-line TKI therapy, and we assessed factors predicting survival using the Kaplan-Meier method.

Results

Eligible patients were sorted into higher (n = 83) and lower (n = 86) TSR groups according to the mean TSR of 0.49%. The 83 patients with a higher TSR had longer PFS and OS than those in the 86 patients with a lower TSR (14.83 vs. 8.40 months, P < 0.001, and 31.03 vs. 20.10 months, P < 0.001, respectively). Multivariate analyses revealed that TSR was an independent predictor of PFS and OS (PFS hazard ratio [HR]: 0.506, P < 0.001, and OS HR: 0.291, P < 0.001).

Conclusions

These cumulative data support that TSR may be an early predictor of the treatment efficacy in NSCLC with EGFR mutations treated with first-line TKIs.

Clinical Evaluation of Serum Tumor Markers in Patients With Advanced-Stage Non-Small Cell Lung Cancer Treated With Palliative Chemotherapy in China

Aim: This study aims to analyze the prognostic value of seven tumor makers and also investigate the response of palliative chemotherapy in advanced NSCLC patients with advanced disease.

Methods: Medical records of 278 advanced NSCLC Chinese patients who received six cycles of palliative chemotherapy were retrospectively reviewed under ethical approval (JSCH2019K-011). Univariate and multivariate Cox regression analyses were performed using SPSS 24 to find the clinical value of these tumor markers and to identify the factors that were associated with progression-free survival (PFS), as well as the response to palliative chemotherapy.

Results: In baseline characteristic, the high levels of CEA, CA-125, CA-199, AFP, NSE, CYFRA21-1, and CA15-3 were detected in 209 (75.18%), 139 (50.0%), 62 (22.30%), 18 (6.47%), 155 (55.75%), 176 (63.30%), and 180 (64.74%) patients, respectively. Univariate analysis revealed that patients with high vs. normal levels of all tumor markers had an increased risk of poor prognosis. In the multivariable Cox regression model, the patient with (high vs. normal) CYFRA21-1 levels (HR = 1.454, P = 0.009) demonstrated an increased poor PFS. However, patients with (high vs. normal) CA19-9 levels (HR = 0.524, P < 0.0001) and NSE levels (HR = 0.584, P < 0.0001) presented a decreased risk of PFS. Also, patients receiving 3-drugs regimen had better PFS compared to those on 2-drugs regimen (P = 0.043).

Conclusions: The high levels of CYFRA21-1 was correlated with a poor prognostic factor of PFS for Advanced NSCLC patients. However, the high levels of CA19-9 and NSE were associated with a better prognostic factor of PFS. Additionally, smoking habits and tumor status had a poor prognostic factor of PFS. Moreover, we found that antiangiogenic therapy has high efficacy with first-line chemotherapy and longer PFS of NSCLC patients.

Carcinoembryonic antigen and CYFRA 21-1 responses as prognostic factors in advanced non-small cell lung cancer

Background

It is unclear whether changes in serum tumor marker expression post-treatment are of prognostic value. We investigated the associations between changes in serum carcinoembryonic antigen (CEA) and cytokeratin 19 fragment (CYFRA 21-1) after first-line treatment and overall survival (OS) in non-small cell lung cancer (NSCLC).

Methods

Advanced NSCLC patients (April 2010 to December 2015) with elevated serum CEA or CYFRA 21-1 were included. The associations between tumor marker changes after treatment initiation and OS were analyzed.

Results

Ninety-six and 55 patients were CEA- and CYFRA 21-1-positive, respectively. The serum CEA response at 4 months and CYFRA 21-1 responses at 1 and 4 months were significantly associated with OS in the univariate analyses (P=0.025, P=0.016 and P<0.001, respectively). Moreover, in the multivariate analyses, serum CYFRA 21-1 response at 4 months was significantly associated with improved OS (P=0.038).

Conclusions

In NSCLC patients, serum CEA and CYFRA 21-1 responses after treatment initiation may predict longer OS.

Clinical evaluation of carcinoembryonic and carbohydrate antigens as cancer biomarkers to monitor palliative chemotherapy in advanced stage gastric cancer

BACKGROUND

Carcinoembryonic antigen (CEA), carbohydrate antigen (CA)-125, CA19-9, and CA72-4 are often found modulated parameters in gastric cancer.

OBJECTIVE

Our present study is focused to evaluate the synchronization of these biomarkers in response to palliative chemotherapy.

METHOD

A retrospective study was conducted on 216 gastric cancer patients undergoing first-line cisplatin chemotherapy along with antiangiogenic regimen. Blood samples were taken and analyzed biochemically and statistically.

RESULTS

Progression occurred in 78 of 216 patients and the median progression-free survival (PFS) was 5 months. For serum CEA, the median PFS was 4 versus 7 months for elevated and normal groups respectively (P = 0.01). The median PFS for normal and elevated CA19-9 and CA72-4 was 6 vs 4 months respectively (P = 0.001). In the multivariate Cox regression model, elevated pretreatment level of CEA, CA19-9, and distant metastases were independent factors associated with increased risk of progression (P = 0.021, P = 0.000, P = 0.006, respectively).

CONCLUSIONS

Conclusively, elevated pretreatment level of CEA and CA19-9 is correlated with high risk of progression and worse prognosis. Moreover, an additional antiangiogenic therapy is more effective in decreasing cancer biomarker level after palliative chemotherapy that may be correlated with therapeutic triumph.

Serum SP70 is a sensitive predictor of chemotherapy response in patients with advanced nonsmall cell lung cancer

SP70 is a novel tumor biomarker in patients with nonsmall cell lung cancer (NSCLC). However, its role as a marker for predicting the response to chemotherapy for patients with advanced NSCLC has not been investigated. A total of 152 patients were enrolled. Serum SP70, carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), and neuron-specific enolase (NSE) were detected before and after 2 cycles of chemotherapy. The correlation between serum tumor biomarker levels and chemotherapy responses and their association with epidermal growth factor receptor (EGFR) mutation status and progression-free survival (PFS) were analyzed. Serum SP70 levels were significantly decreased after chemotherapy in the partial remission (PR) group (P < .001) and increased in the progressive disease (PD) group (P < .001), but not significantly changed in the stable disease (SD) group (P = .114). Although similar changes were observed on CEA and CYFRA21-1 levels but not NSE, ROC analysis demonstrated that SP70 is superior to the others. Additionally, patients with EGFR mutation had higher serum SP70 levels and tissue SP70 expression than patients without EGFR mutation (P = .014 and P = .002, respectively). The median PFS of patients with decreased SP70 levels after chemotherapy was longer than that of patients with stable or increased serum SP70 level (24 months vs 12 months vs 2 months, P < .001), and the differences of all other 3 tumor markers were not obvious. Serum SP70 is a sensitive and real-time indicator of chemotherapeutic efficacy in patients with advanced NSCLC and related to PFS.

Value of combining serum carcinoembryonic antigen and PET/CT in predicting EGFR mutation in non-small cell lung cancer

Background

We sought to investigate the associations between pretreatment serum Carcinoembryonic antigen (CEA) level, ¹⁸F-Fluoro-2-deoxyglucose (¹⁸F-FDG) uptake value of primary tumor and epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC).

Methods

We retrospectively reviewed medical records of 210 NSCLC patients who underwent EGFR mutation test and ¹⁸F-FDG positron emission tomography/computed tomography (PET/CT) scan before anti-tumor therapy. The associations between EGFR mutations and patients' characteristics, serum CEA, PET/CT imaging characteristics maximal standard uptake value (SUVmax) of the primary tumor were analyzed. Receiver-operating characteristic (ROC) curve was used to assess the predictive value of these factors.

Results

EGFR mutations were found in 70 patients (33.3%). EGFR mutations were more common in high CEA group (CEA ≥7.0 ng/mL) than in low CEA group (CEA <7.0 ng/mL) (40.4% vs. 27.6%; P=0.05). Females (P<0.001), non-smokers (P<0.001), patients with adenocarcinoma (P<0.001) and SUVmax <9.0 (P=0.001) were more likely to be EGFR mutation-positive. Multivariate analysis revealed that gender, tumor histology, pretreatment serum CEA level, and SUVmax were the most significant predictors for EGFR mutations. The ROC curve revealed that combining these four factors yielded a higher calculated AUC (0.80).

Conclusions

Gender, histology, pretreatment serum CEA level and SUVmax are significant predictors for EGFR mutations in NSCLC. Combining these factors in predicting EGFR mutations has a moderate diagnostic accuracy, and is helpful in guiding anti-tumor treatment.

[Correlation between Serum Tumor Markers and Efficacy of First-line EGFR-TKIs in Patients with Advanced Lung Adenocarcinoma]

BACKGROUND

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) significantly improve the survival of advanced lung adenocarcinoma patients harboring EGFR mutation. Limited to the standards of tumor tissue samples and detection methods, still some people can't receive target therapy following genetic guidance. This study was to explore the relevance between serum tumor markers and treatment of EGFR-TKIs.

METHODS

We retrospectively collected the clinical information of advanced lung adenocarcinoma patients harboring EGFR mutation, who received EGFR-TKIs as first-line therapy from June 2009 to June 2014 in Peking University Cancer Hospital, analyzed the relationship between serum tumor markers and efficacy of EGFR-TKIs.

RESULTS

The objective response rate (ORR) was 52.8% and the disease control rate (DCR) was 89.3%. The results showed that, patients with high CEA level before treatment responded better to TKIs (ORR 61.3% vs 35.9%, DCR 95.2% vs 74.4%, P<0.001). Similar phenomena was found in patients with CEA decreased 1 month later (61.5% vs 25%, P=0.002). Progression-free survival (PFS) significantly prolonged in patients with elevated baseline CEA (mPFS 9.8 mo vs 5.9 mo, P=0.027). To the opposite, PFS was significantly shorter in patients with elevated baseline CYFRA21-1 and CA125 (mPFS 9.0 mo vs 11.4 mo, P=0.029; 9.0 mo vs 11.5 mo, P=0.023, respectively). Multivariate analysis showed that Eastern Cooperative Oncology Group (ECOG) score of 0-1, normal baseline CYFRA21-1 and CEA decline predicted longer PFS. The overall survival (OS) was highly associated with elevated CYFRA21-1 and CA125 (median OS 25.1 mo vs 52.5 mo, P=0.003; 22.7 mo vs 55.0 mo, P<0.001, respectively), while independent of CEA.

CONCLUSIONS

High level of baseline CEA and decline 1 month after treatment could predict the efficacy of EGFR-TKIs in patients with advanced lung adenocarcinoma. While high levels of baseline CYFRA21-1 and CA125 indicated shortened survival.

EGFR mutation status in plasma and tumor tissues in non-small cell lung cancer serves as a predictor of response to EGFR-TKI treatment

OBJECTIVE

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) can effectively control non-small cell lung cancer (NSCLC). Therefore, EGFR mutations should be detected before lung cancer patients undergo EGFR-TKI therapy. This study assessed the feasibility and predictive value of EGFR mutations in peripheral blood samples.

METHODS

EGFR mutations in exons 19 and 21 were analyzed in tumor tissue and plasma DNA samples from 121 NSCLC patients using amplification refractory mutation system (ARMS) and the integrated technique of mutant enriched PCR (me-PCR) and denaturing high performance liquid chromatography (DHPLC), respectively.

RESULTS

EGFR mutations were detected in 36.4% of tumor tissues and 34.7% of the plasma at a concordance rate of 85.1% (103/121). The sensitivity and specificity of plasma EGFR mutations were 77.3% and 89.6%, respectively. The gender and tumor histology of patients served as independent predictors of EGFR mutations in both tumor tissues and plasma, while CEA level was an independent predictor of EGFR mutations in the plasma. Furthermore, EGFR-TKI treatment showed a significantly higher objective response rate (ORR), median progression-free survival (mPFS), and overall survival (mOS) in patients harboring EGFR mutation than those that did not exhibit EGFR mutation (ORR: 69.4% versus 13.0% in tissues, P < 0.001; 64.5 % vs. 28.6% in the plasma, P = 0.006. mPFS: 10.4 months versus 4.1 months in tissues, P<0.001; 10.5 months vs. 5.2 months in the plasma, P=0.001. mOS: 25.7 months versus 8.3 months in tissues, P=0.005; 25.7 months vs. 13.5 months in the plasma, P=0.038).

CONCLUSIONS

EGFR mutations can be detected in the plasma using the integrated technique of me-PCR and DHPLC, which enables us to predict patient response to EGFR-TKI therapy. High serum CEA levels served as an independent predictor for plasma EGFR mutations.

Frequency of EGFR mutations in lung adenocarcinoma with malignant pleural effusion: Implication of cancer biological behaviour regulated by EGFR mutation

OBJECTIVE

A retrospective single-centre study to compare the clinical features of patients with lung adenocarcinoma with and without epidermal growth factor receptor (EGFR) mutations.

METHODS

Pretreatment medical records of patients with lung adenocarcinoma were reviewed. DNA was extracted from paraffin wax-embedded tumour tissue for analysis of EGFR mutations. Malignant pleural effusion (MPE) was diagnosed by cytopathological testing of pleural fluid.

RESULTS

EGFR mutations (19-Del and L858R) were recorded in 81/283 patients (28.6%). MPE was found in 42/283 patients (14.8%). In patients with stage IV disease, the frequency of EGFR mutations was higher in those with MPE than in those without MPE. EGFR mutations were independently associated with female sex, no history of smoking and presence of MPE.

CONCLUSIONS

There was a positive association between EGFR mutation and the presence of MPE. EGFR mutations may play an important role in the formation of MPE.

Prognostic value of serum CYFRA21-1 and CEA for non-small-cell lung cancer

The aim of the study was to assess the clinical prognostic value of serum cytokeratin 19 fragment (CYFRA21-1) and carcinoembryonic antigen (CEA) for non-small-cell lung cancer (NSCLC) patients. Literatures related to effects of serum CYFRA21-1 and CEA on the prognosis of lung cancer patients were retrieved from databases such as PubMed, Springer Link, Embase, Wanfang, and CNKI. Meta-analysis was carried out using RevMan 5.1 software. Ten literatures involving 1990 NSCLC patients were selected in this study. Total survive estimation merging hazard ratio (HR) in all NSCLC patients with high-level serum CYFRA21-1 was 1.64 (95% CI 1.46–1.84, P < 0.001) and that in all NSCLC patients with high level serum CEA was 1.46 (95% CI 1.28–1.65, P < 0.001). Serum CYFRA21-1 and CEA can be used as prognostic factors of NSCLC patients. Combinative detection of the two indices will be more reliable.

Associations between epidermal growth factor receptor gene mutation and serum tumor markers in advanced lung adenocarcinomas: a retrospective study

OBJECTIVE

To investigate the associations between epidermal growth factor receptor (EGFR) gene mutations and serum tumor markers in advanced lung adenocarcinomas.

METHODS

We investigated the association between EGFR gene mutations and clinical features, including serum tumor marker levels, in 97 advanced lung adenocarcinomas patients who did not undergo the treatment of EGFR tyrosine kinase inhibitors. EGFR gene mutation was detected by real-time PCR at exons 18, 19, 20, and 21. Serum tumor marker concentrations were analyzed by chemiluminescence assay kit at the same time.

RESULTS

EGFR gene mutations were detected in 42 (43%) advanced lung adenocarcinoma patients. Gender (P=0.003), smoking status (P=0.001), and abnormal serum status of carcinoembryonic antigen (CEA, P=0.028) were significantly associated with EGFR gene mutation incidence. Multivariate analysis showed the abnormal CEA level in serum was independently associated with the incidence of EGFR gene mutation (P=0.046) with an odds ratio of 2.613 (95% CI: 1.018-6.710). However, receiver operating characteristic (ROC) curve analysis revealed CEA was not an ideal predictive marker for EGFR gene mutation status in advanced lung adenocarcinoma (the area under the ROC curve was 0.608, P=0.069).

CONCLUSIONS

EGFR gene mutation status is significantly associated with serum CEA status in advanced lung adenocarcinmoas. However, serum CEA is not an ideal predictor for EGFR mutation.

Value of ¹⁸F-FDG uptake on PET/CT and CEA level to predict epidermal growth factor receptor mutations in pulmonary adenocarcinoma

PURPOSE

The identification of the mutation status of the epidermal growth factor receptor (EGFR) is important for the optimization of treatment in patients with pulmonary adenocarcinoma. The acquisition of adequate tissues for EGFR mutational analysis is sometimes not feasible, especially in advanced-stage patients. The aim of this study was to predict EGFR mutation status in patients with pulmonary adenocarcinoma based on (18)F-fluorodeoxyglucose (FDG) uptake and imaging features in positron emission tomography/computed tomography (PET/CT), as well as on the serum carcinoembryonic antigen (CEA) level.

METHODS

We retrospectively reviewed 132 pulmonary adenocarcinoma patients who underwent EGFR mutation testing, pretreatment FDG PET/CT and serum CEA analysis. The associations between EGFR mutations and patient characteristics, maximal standard uptake value (SUVmax) of primary tumors, serum CEA level and CT imaging features were analyzed. Receiver-operating characteristic (ROC) curve analysis was performed to quantify the predictive value of these factors.

RESULTS

EGFR mutations were identified in 69 patients (52.2 %). Patients with SUVmax ≥6 (p = 0.002) and CEA level ≥5 (p = 0.013) were more likely to have EGFR mutations. The CT characteristics of larger tumors (≥3 cm) (p = 0.023) and tumors with a nonspiculated margin (p = 0.026) were also associated with EGFR mutations. Multivariate analysis showed that higher SUVmax and CEA level, never smoking and a nonspiculated tumor margin were the most significant predictors of EGFR mutation. The combined use of these four criteria yielded a higher area under the ROC curve (0.82), suggesting a good discrimination.

CONCLUSION

The combined evaluation of FDG uptake, CEA level, smoking status and tumor margins may be helpful in predicting EGFR mutation status in patients with pulmonary adenocarcinoma, especially when the tumor sample is inadequate for genetic analysis or genetic testing is not available. Further large-scale prospective studies are needed to validate these results.

Monitoring of carcinoembryonic antigen levels is predictive of EGFR mutations and efficacy of EGFR-TKI in patients with lung adenocarcinoma

For the detection of epidermal growth factor receptor (EGFR) mutations, tumor tissues may not always be available. Not all the patients harboring EGFR mutation have a clinical response after the treatment of epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKI). EGFR mutations were detected in 70 cases of newly diagnosed non-smoking adenocarcinoma, and patients harboring EGFR mutations received EGFR-TKI treatment. The EGFR mutation status of these patients' blood was analyzed by amplification refractory mutation system (ARMS). The patients' carcinoembryonic antigen (CEA) levels were tested on the third, seventh, 15(th), and 30th days after EGFR-TKI treatment. Forty-four cases were found with EGFR mutations. EGFR mutation rate of CEA high-level group was significantly higher than low-level group (70.8% vs. 40.9%, P = 0.017). Multivariate analysis showed that high-level CEA is independently associated with EGFR gene mutation (P = 0.020, OR = 3.508, 95%CI, 1.223-10.059). The sensitivity of high CEA level and ARMS to predict EGFR mutation were 79.1% and 51.2%. We divided the patients who received EGFR-TKI treatment into three groups by the variation types of CEA. Univariate analysis showed that patients in descending type group have longer progression-free survival (P = 0.001, HR 6.981, 95%CI, 2.534-19.237). Multivariate Cox proportional hazards model analyses shows the same result (P = 0.001, HR 9.82, 95%CI, 3.322-26.031). In conditions of the current technique, using high CEA level to predict EGFR mutations seems to be more sensitive than using EGFR mutations in plasma. The variation types of CEA level could help us to predict the efficacy of EGFR-TKI in patients harboring EGFR mutation within only 1 month of tyrosine kinase inhibitor therapy.

Expression and prognostic relevance of tumor carcinoembryonic antigen in stage IB non-small cell lung cancer

BACKGROUND

High serum carcinoembryonic antigen (CEA) levels have been reported to be associated with poor prognosis in non-small cell lung cancer (NSCLC), while the prognostic role of tumor CEA expression remains to be defined. The present study investigated the expression of tumor CEA in stage IB NSCLC, and correlated it with clinicopathological features and prognosis.

PATIENTS AND METHODS

Immunohistochemistry for tumor CEA was assessed in the specimens of 183 patients with stage IB NSCLC. Receiver-operating characteristic (ROC) curve analysis was used to determine the cut-off score for tumor positivity.

RESULTS

High CEA expression was detected more frequently in adenocarcinomas (72.2%) and other NSCLCs (69.0%) than in squamous cell carcinomas (25.4%, P<0.001). Both univariate and multivariate analysis indicated that tumor CEA was an independent prognostic factor for overall and disease-free survival (P<0.05).

CONCLUSIONS

Elevated expression of tumor CEA may be an adverse prognostic indicator in stages IB NSCLC.

Prognostic value of tumor markers, NSE, CA125 and SCC, in operable NSCLC Patients

The aim of this study was to investigate the prognostic value of tumor markers in operable non-small cell lung cancer (NSCLC) patients. A total of 481 NSCLC patients were enrolled in the present study. High levels of neuron-specific enolase (NSE), carbohydrate antigen 125 (CA125) and squamous cell carcinoma antigen (SCC) were detected in 306 (63.6%), 89 (18.5%) and 125 (26.0%) patients, respectively. Seventy-eight of 481 patients died of disease progression, and the median disease-free survival (DFS) and overall survival (OS) were 16.0 and 21.0 months, respectively. The three-year DFS rate was 56.7%, and the OS rate was 75.3%. For serum NSE, the three-year cumulative DFS rate for the normal and elevated group was 67.7% and 51.8% (p = 0.007). The OS in patients with high and normal levels of NSE was 34.0 months and 48.0 months, respectively. The median DFS was 46.0 months versus 32.0 months (p = 0.001), and the OS was 48.0 months versus 44.0 months (p = 0.001) in patients with normal and high levels of CA125. For patients with squamous cell carcinoma, the overall survival was significantly shorter in patients with elevated levels of SCC (p = 0.041). In the multivariate analysis high levels of NSE, CA125 and clinical stage were significantly correlated with worse prognosis (p < 0.05). Patients with all three tumor markers elevated presented the worst prognosis (p < 0.05). In our analysis, high levels of preoperative serum NSE and CA125 are correlated with worse survival in operable NSCLC patients.

Usefulness of serum carcinoembryonic antigen (CEA) in evaluating response to chemotherapy in patients with advanced non small-cell lung cancer: a prospective cohort study

Background

High serum carcinoembryonic antigen (CEA) levels are an independent prognostic factor for recurrence and survival in patients with non-small cell lung cancer (NSCLC). Its role as a predictive marker of treatment response has not been widely characterized.

Methods

180 patients with advanced NSCLC (stage IIIB or Stage IV), who had an elevated CEA serum level (>10 ng/ml) at baseline and who had no more than one previous chemotherapy regimen, were included. CEA levels were measured after two treatment cycles of platinum based chemotherapy (93%) or a tyrosine kinase inhibitor (7%). We assessed the change in serum CEA levels and the association with response measured by RECIST criteria.

Results

After two chemotherapy cycles, the patients who achieved an objective response (OR, 28.3%) had a reduction of CEA levels of 55.6% (95% CI 64.3-46.8) compared to its basal level, with an area under the ROC curve (AURC) of 0.945 (95% CI 0.91-0.99), and a sensitivity and specificity of 90.2 and 89.9%, respectively, for a CEA reduction of ≥14%. Patients that achieved a decrease in CEA levels ≥14% presented an overall response in 78% of cases, stable disease in 20.3% and progression in 1.7%, while patients that did not attain a reduction ≥14% had an overall response of 4.1%, stable disease of 63.6% and progression of 32.2% (p < 0.001). Patients with stable (49.4%) and progressive disease (22.2%) had an increase of CEA levels of 9.4% (95% CI 1.5-17.3) and 87.5% (95% CI 60.9-114) from baseline, respectively (p < 0.001). The AURC for progressive disease was 0.911 (95% CI 0.86-0.961), with sensitivity and specificity of 85 and 15%, respectively, for a CEA increase of ≥18%. PFS was longer in patients with a ≥14% reduction in CEA (8.7 vs. 5.1 months, p < 0.001). Reduction of CEA was not predictive of OS.

Conclusions

A CEA level reduction is a sensitive and specific marker of OR, as well as a sensitive indicator for progression to chemotherapy in patients with advanced NSCLC who had an elevated CEA at baseline and had received no more than one chemotherapy regimen. A 14% decrease in CEA levels is associated with a longer PFS.

Prognostic and predictive value of carcinoembryonic antigen and cytokeratin-19 fragments levels in advanced non-small cell lung cancer patients treated with gefitinib or erlotinib

PURPOSE

The prognostic and predictive value of pretreatment serum levels of carcinoembryonic antigen (CEA) and cytokeratin-19 fragments (CYFRA 21-1) were assessed in advanced non-small cell lung cancer (NSCLC) patients treated with gefitinib or erlotinib.

MATERIALS AND METHODS

Pretreatment CEA and CYFRA 21-1 were measured in 123 advanced NSCLC patients receiving gefitinib or erlotinib. High CEA levels (h-CEA) were significantly associated with females, patients with adenocarcinoma, and non-smokers.

RESULTS

Low CYFRA 21-1 levels (l-CYFRA) were significantly associated with a good performance status (ECOG PS 0-1). The overall response rate (RR) was 27.6%, and higher RR was associated with adenocarcinoma, h-CEA, and epidermal growth factor receptor (EGFR) mutation. Patients with h-CEA had significantly longer progression-free survival (PFS) (p=0.021). Patients with l-CYFRA had significantly longer PFS and overall survival (p=0.006 and p<0.001, respectively). Of note, h-CEA and l-CYFRA had good prognosis in patients with unknown EGFR mutation status or patients with squamous cell carcinoma (p=0.021 and p=0.015, respectively). A good ECOG PS (HR=0.45, p=0.017), h-CEA (HR=0.41, p=0.007), l-CYFRA 21-1 (HR=0.52, p=0.025), and an EGFR mutation (HR=0.22, p<0.001) were independently predictive of a longer PFS.

CONCLUSION

h-CEA and l-CYFRA 21-1 may be prognostic and predictive serum markers for higher response and longer survival in patients with advanced NSCLC receiving gefitinib or erlotinib, especially in patients with unknown EGFR mutation status or patients with squamous cell carcinoma.

Prognostic and predictive value of CEA and CYFRA 21-1 levels in advanced non-small cell lung cancer patients treated with gefitinib or erlotinib

The prognostic and predictive value of pre-treatment serum levels of carcinoembryonic antigen (CEA) and cytokeratin-19 fragments (CYFRA 21-1) were assessed in advanced non-small cell lung cancer (NSCLC) patients treated with gefitinib or erlotinib. Pre-treatment CEA and CYFRA 21-1 levels were measured in 123 advanced NSCLC patients receiving gefitinib or erlotinib. High CEA levels (h-CEA) were significantly associated with females, patients with adenocarcinoma and non-smokers. Low CYFRA 21-1 levels (l-CYFRA 21-1) were significantly associated with a good performance status (ECOG PS 0-1). The overall response rate (RR) was 27.6%, and a higher RR was associated with adenocarcinoma, h-CEA, and epidermal growth factor receptor (EGFR) mutation. Patients with h-CEA had significantly longer progression-free survival (PFS) (P=0.021). Patients with l-CYFRA 21-1 had significantly longer PFS and overall survival (OS) (P=0.006 and P<0.001, respectively). Notably, h-CEA and l-CYFRA 21-1 levels were associated with good prognosis in patients with unknown EGFR mutation status or patients with squamous cell carcinoma (P=0.021 and P=015, respectively). A good ECOG PS (HR=0.45, P=0.017), h-CEA (HR=0.41, P=0.007), l-CYFRA 21-1 (HR=0.52, P=0.025), and an EGFR mutation (HR=0.22, P<0.001) were independently predictive of a longer PFS. A good ECOG PS (HR=0.52, P=0.018), l-CYFRA 21-1 (HR=0.36, P=0.004), and EGFR mutation (HR=0.53, P=0.051) were independently predictive of longer OS. h-CEA and l-CYFRA 21-1 may be prognostic and predictive serum markers for higher response and longer survival in patients with advanced NSCLC receiving gefitinib or erlotinib, particularly in patients with unknown EGFR mutation status or patients with squamous cell carcinoma.

Elevated serum levels of TPS and CYFRA 21-1 predict poor prognosis in advanced non-small-cell lung cancer patients treated with gefitinib

Serum concentrations of tissue polypeptide-specific antigen (TPS) and Cytokeratin-19-Fragments (CYFRA 21-1) before operation or chemotherapy have been proved to be a useful prognostic tool for patients with NSCLC, but the related data for advanced NSCLC patients treated with gefitinib are limited. We retrospectively reviewed 122 advanced NSCLC patients treated with gefitinib between April 2002 and August 2007. Multiple clinical factors including pretreatment serum levels of TPS and CYFRA 21-1, age, gender, performance status (PS), smoking history, stage, histology, the number of prior chemotherapy and the patients' clinical outcomes were analyzed. Patients without elevated serum TPS levels had a more RR (36.8%) than those with elevated serum TPS levels (18.5%) (P = 0.023), nevertheless, a similar result was not seen in patients with normal CYFRA 21-1 levels. For patients with normal vs. high TPS levels, the median survival times (MSTs) were 15.9 vs. 7.3 months (P = 0.001). For patients with normal vs. high CYFRA 21-1, the MSTs were 15.4 vs. 7.5 months (P = 0.003). Moreover, for patients with both elevated, vs. one elevated and both normal TPS and CYFRA 21-1 levels, the MSTs were 5.4 vs. 11.4 months (P = 0.001), and 16.5 months (P < 0.001), respectively. In multivariate analysis, TPS (P = 0.001) and CYFRA 21-1 (P = 0.005) alone or combination (P < 0.001) remained significant correlation to survival. In NSCLC patients with gefitinib therapy, pretreatment serum levels of TPS and CYFRA 21-1 alone or combined might be independent prognostic factors, and the pretreatment serum TPS level may predict the tumor response.