Baseline and On-Treatment Characteristics of Serum Tumor Markers in Stage IV Oncogene-Addicted Adenocarcinoma of the Lung

Serum tumor markers for response prediction and monitoring of advanced lung cancer: A review focusing on immunotherapy and targeted therapies

BACKGROUND

The value of serum tumor markers (STMs) in the current therapeutic landscape of lung cancer is unclear.

OBJECTIVE

This scoping review gathered evidence of the predictive, prognostic, and monitoring value of STMs for patients with advanced lung cancer receiving immunotherapy (IT) or targeted therapy (TT).

METHODS

Literature searches were conducted (cut-off: May 2022) using PubMed and Cochrane CENTRAL databases. Medical professionals advised on the search strategies.

RESULTS

Study heterogeneity limited the evidence and inferences from the 36 publications reviewed. While increased baseline levels of serum cytokeratin 19 fragment antigen (CYFRA21-1) and carcinoembryonic antigen (CEA) may predict IT response, results for TT were less clear. For monitoring IT-treated patients, STM panels (including CYFRA21-1, CEA, and neuron-specific enolase) may surpass the power of single analyses to predict non-response. CYFRA21-1 measurement could aid in monitoring TT-treated patients, but the value of CEA in this context requires further investigation. Overall, baseline and dynamic changes in individual or combined STM levels have potential utility to predict treatment outcome and for monitoring of patients with advanced lung cancer.

CONCLUSIONS

In advanced lung cancer, STMs provide additional relevant clinical information by predicting treatment outcome, but further standardization and validation is warranted.

The prognostic biological markers of immunotherapy for non-small cell lung cancer: current landscape and future perspective

The emergence of immunotherapy, particularly programmed cell death 1 (PD-1) and programmed cell death ligand-1 (PD-L1) produced profound transformations for treating non-small cell lung cancer (NSCLC). Nevertheless, not all NSCLC patients can benefit from immunotherapy in clinical practice. In addition to limited response rates, exorbitant treatment costs, and the substantial threats involved with immune-related adverse events, the intricate interplay between long-term survival outcomes and early disease progression, including early immune hyperprogression, remains unclear. Consequently, there is an urgent imperative to identify robust predictive and prognostic biological markers, which not only possess the potential to accurately forecast the therapeutic efficacy of immunotherapy in NSCLC but also facilitate the identification of patient subgroups amenable to personalized treatment approaches. Furthermore, this advancement in patient stratification based on certain biological markers can also provide invaluable support for the management of immunotherapy in NSCLC patients. Hence, in this review, we comprehensively examine the current landscape of individual biological markers, including PD-L1 expression, tumor mutational burden, hematological biological markers, and gene mutations, while also exploring the potential of combined biological markers encompassing radiological and radiomic markers, as well as prediction models that have the potential to better predict responders to immunotherapy in NSCLC with an emphasis on some directions that warrant further investigation which can also deepen the understanding of clinicians and provide a reference for clinical practice.

Prognosis prediction of icotinib as targeted therapy for advanced EGFR-positive non-small cell lung cancer patients

Clinical trials on icotinib, a first-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), have shown promising results as targeted therapy for non-small cell lung cancer (NSCLC). This study aimed to establish an effective scoring system to predict the one-year progression-free survival (PFS) of advanced NSCLC patients with EGFR mutations treated with icotinib as targeted therapy. A total of 208 consecutive patients with advanced EGFR-positive NSCLC treated with icotinib were enrolled in this study. Baseline characteristics were collected within 30 days before icotinib treatment. PFS was taken as the primary endpoint and the response rate as the secondary endpoint. Least absolute shrinkage and selection operator (LASSO) regression analysis and Cox proportional hazards regression analysis were used to select the optimal predictors. We evaluated the scoring system using a five-fold cross-validation. PFS events occurred in 175 patients, with a median PFS of 9.9 months (interquartile range, 6.8-14.5). The objective response rate (ORR) was 36.1%, and the disease control rate (DCR) was 67.3%. The final ABC-Score consisted of three predictors: age, bone metastases and carbohydrate antigen 19-9 (CA19-9). Upon comparison of all three factors, the combined ABC-score (area under the curve (AUC)= 0.660) showed a better predictive accuracy than age (AUC = 0.573), bone metastases (AUC = 0.615), and CA19-9 (AUC = 0.608) individually. A five-fold cross-validation showed good discrimination with AUC = 0.623. The ABC-score developed in this study was significantly effective as a prognostic tool for icotinib in advanced NSCLC patients with EGFR mutations.

Efficacy and safety of alectinib in ALK-positive non-small cell lung cancer and blood markers for prognosis and efficacy: a retrospective cohort study

Background

Alectinib is a second generation of ALK-tyrosine kinase inhibitors (ALK-TKIs), which has attracted much attention in the treatment of ALK-positive non-small cell lung cancer (NSCLC). At present, there are few reports on the efficacy and safety of alectinib in Chinese population. Moreover, biomarkers reflecting prognosis and efficacy are exceedingly needed. This study assessed the efficacy of alectinib in patients with ALK-positive NSCLC and analyzed the prognostic factors.

Methods

Patients with ALK-positive NSCLC who were confirmed by histopathology or cytology at the Affiliated Cancer Hospital of Nanjing Medical University between October 2018 and October 2021 were enrolled. All patients were treated with alectinib. The clinical characteristics and circulating tumor biomarkers before and after treatment were collected. Kaplan-Meier test was used to calculate the progression-free survival (PFS). Univariate and multivariate Cox regression analyses were used to explore the influencing factors on PFS. Incidence of adverse events was observed.

Results

Twenty patients progressed after first-line treatment (n=59) with alectinib, and 21 patients progressed following second-line treatment (n=36) with alectinib. The median PFS of first-line treatment patients was not achieved, and the median PFS of patients undergoing second-line treatment was 15.0 months [95% confidence interval (CI): 0.00-32.23]. The most common adverse reactions were liver dysfunction (37.50%), anemia (37.50%), and constipation (20.83%). The incidence of grade III and above adverse reactions was 6.25%. Univariate analysis showed that neutrophil-to-lymphocyte ratio [NLR; hazard ratio (HR) =0.424, P=0.005] carcinoembryonic antigen (CEA; HR =0.482, P=0.029), lactate dehydrogenase (LDH; HR =0.327, P<0.001), carbohydrate antigen (CA)199 (HR =0.313, P=0.002), and circulating cell free DNA (cfDNA; HR =0.229, P=0.008) concentration levels were associated with PFS, and multivariate analysis showed that NLR (HR =3.058, P=0.034) was independent prognostic factor. After three months of treatment, CEA, CA199, NLR, and LDH, could further predict the prognosis of alectinib treatment.

Conclusions

The efficacy and safety of alectinib as a first-line or second-line treatment for ALK-positive NSCLC in keeping with published prospective studies. CEA, CA199, NLR, and LDH within the normal range after three months of treatment were associated with good prognosis. Detection of serum tumor markers can indicate therapeutic success in patients treated with alectinib.

Preoperative blood markers for prediction of recurrence-free survival after surgical treatment of patients with stage III lung adenocarcinoma

The possibility of the preoperative level of 42 indicators characterizing the cellular composition and metabolism in blood of patients with stage III lung adenocarcinoma (AC) to predict their relapse-free survival was studied. Blood samples of 451 patients with newly diagnosed AK stage III after their surgical treatment (resection volume - R0) have been investigated. The duration of the relapse-free period (period of observation - 1 year), cellular composition of the blood, concentration of C-RP, albumin, Cyfra 21-1 antigens, SCC, TPA, chemokines CXCL5, CXCL8, pyruvate kinase TuM2 PK isoenzyme, HIF-1α and hyaluronic acid in blood serum so as the proportion of blood cells with CXCR1 and CXCR2, CD44V6 receptors in blood serum were measured. To determine the dependence of the duration of the relapse-free period after the treatment on the observation time, Kaplan-Meier graphs were built. The relationship between the determined parameters and survival was judged using single- and multi-factor Cox proportional hazard models. Comparison of groups with different risk of AK recurrence was performed using the Log Rank test and χ2. The assessment of the predictive information content of laboratory tests was carried out using ROC analysis. It was shown that the concentration of monocytes, eosinophilic leukocytes, the relative quantity of lymphocytes with CXCR1 receptor, the level of Cyfra 21-1 before surgical treatment were associated with the duration of the relapse-free period. A regression equation was compiled, which included the level of Cyfra 21-1, relative content of lymphocytes with CXCR1, and the eosinophilic leukocytes / monocytes ratio. Based on the threshold value Y=0,597, a Kaplan-Meier plot of patient survival was built and the results of it correspond to the TNM stratification. The prognostic sensitivity of the results of the equation - 85,7%, the specificity - 94,7%.

Development and Validation of a Concise Prediction Scoring System for Asian Lung Cancer Patients with EGFR Mutation Before Treatment

Purpose We aimed to determine the epidermal growth factor receptor (EGFR) genetic profile of lung cancer in Asians, and develop and validate a non-invasive prediction scoring system for EGFR mutation before treatment. Methods This was a single-center retrospective cohort study using data of patients with lung cancer who underwent EGFR detection (n = 1450) from December 2014 to October 2020. Independent predictors were filtered using univariate and multivariate logistic regression analyses. According to the weight of each factor, a prediction scoring system for EGFR mutation was constructed. The model was internally validated using bootstrapping techniques and temporally validated using prospectively collected data (n = 210) between November 2020 and June 2021.Results In 1450 patients with lung cancer, 723 single mutations and 51 compound mutations were observed in EGFR. Thirty-nine cases had two or more synchronous gene mutations. We developed a scoring system according to the independent clinical predictors and stratified patients into risk groups according to their scores: low-risk (score <4), moderate-risk (score 4-8), and high-risk (score >8) groups. The C-statistics of the scoring system model was 0.754 (95% CI 0.729-0.778). The factors in the validation group were introduced into the prediction model to test the predictive power of the model. The results showed that the C-statistics was 0.710 (95% CI 0.638-0.782). The Hosmer–Lemeshow goodness-of-fit showed that χ² = 6.733, P = 0.566. Conclusions The scoring system constructed in our study may be a non-invasive tool to initially predict the EGFR mutation status for those who are not available for gene detection in clinical practice.

The Treatment for a Patient with Cancer of Unknown Primary: A Case Report

Background

Cancer of unknown primary (CUP) is metastatic at diagnosis with an unknown primary site, indicating a high degree of malignancy with a poor prognosis. The development and application of targeted therapy and immunotherapy are current research hotspots, which provide additional treatment options for CUP.

Case Presentation

A 36-year-old male presented with pain on the right hip in April 2018. After various examinations, he was diagnosed with CUP. This patient received chemotherapy, immunotherapy, and local radiotherapy in our department. However, the use of radiotherapy after immunotherapy resulted in severe pneumonia.

Conclusion

Compared with traditional treatments, immunotherapy is an effective treatment with fewer side effects and better patient tolerance. However, treating physicians should be still pay special attention to the occurrence of side effects when radiotherapy is combined with immunotherapy.

Validation of a clinical blood-based decision aid to guide immunotherapy treatment in patients with non-small cell lung cancer

BACKGROUND

The widespread introduction of immunotherapy in patients with advanced non-small cell lung cancer (NSCLC) has led to durable responses but still many patients fail and are treated beyond progression.

OBJECTIVE

This study investigated whether readily available blood-based tumor biomarkers allow accurate detection of early non-responsiveness, allowing a timely switch of therapy and cost reduction.

METHODS

In a prospective, observational study in patients with NSCLC treated with nivolumab or pembrolizumab, five serum tumor markers were measured at baseline and every other week. Six months disease control as determined by RECIST was used as a measure of clinical response. Patients with a disease control <  6 months were deemed non-responsive. For every separate tumor marker a criterion for predicting of non-response was developed. Each marker test was defined as positive (predictive of non-response) if the value of that tumor marker increased at least 50% from the value at baseline and above a marker dependent minimum value to be determined. Also, tests based on combination of multiple markers were designed. Specificity and sensitivity for predicting non-response was calculated and results were validated in an independent cohort. The target specificity of the test for detecting non-response was set at >  95%, in order to allow its safe use for treatment decisions.

RESULTS

A total of 376 patients (training cohort: 180, validation cohort: 196) were included in our analysis. Results for the specificity of the single marker tests in the validation set were CEA: 98·3% (95% CI: 90·9-100%), NSE: 96·5% (95% CI: 87·9-99·6%), SCC: 96·5% (95% CI: 88·1-99·6%), Cyfra21·1 : 91.8% (95% CI: 81·9-97·3%), and CA125 : 86·0% (95% CI: 74·2-93·7%). A test based on the combination of Cyfra21.1, CEA and NSE accurately predicted non-response in 32.3% (95% CI 22.6-43.1%) of patients 6 weeks after start of immunotherapy. Survival analysis showed a significant difference between predicted responders (Median PFS: 237 days (95% CI 184-289 days)) and non-responders (Median PFS: 58 days (95% CI 46-70 days)) (p <  0.001).

CONCLUSIONS

Serum tumor marker based tests can be used for accurate detection of non-response in NSCLC, thereby allowing early and safe discontinuation of immunotherapy in a significant subset of patients.

Serum Tumor Marker Dynamics as Predictive Biomarkers in NSCLC Chemo-Immunotherapy and Mono-Immunotherapy Maintenance: A Registry-Based Descriptive Study

Objective

To evaluate serum tumor markers (STM) as predictive biomarkers in advanced non-small cell lung cancer (NSCLC) treated with chemo-immunotherapy.

Methods

Patients having received platinum-based chemo-(CHT) and PD-1/PD-L1-directed immune checkpoint inhibitor (ICI) combination therapy were retrospectively followed. Carcinoembryonic antigen (CEA), carbohydrate antigen 19–9 (CA19-9), cytokeratin-19 fragments (CYFRA 21–1) and neuron specific enolase (NSE) were routinely measured at NSCLC diagnosis. The marker with the highest relative elevation was defined “leading STM”, its change was assessed between CHT-ICI as well as mono-ICI maintenance initiation and the respective subsequent restaging. Corresponding computed tomography evaluations were analyzed using response evaluation criteria in solid tumors (RECIST). For CHT-ICI combination and subsequent mono-ICI-maintenance therapy, leading STM and RECIST response were evaluated regarding progression-free (PFS) and overall survival (OS) in Kaplan–Meier analyses.

Results

Among 80 CHT-ICI patients (41% women, mean age 63 years), median PFS was 5 months (M;4,9), median OS was 15M (10,/). PFS was significantly (p=0.042) longer, when the leading STM had decreased at first restaging under CHT-ICI combination therapy (9M (5,12; n=41) vs 5M (3,6; n=16)). In the 54 (67.5%) patients who received subsequent mono-ICI maintenance therapy, STM decrease was similarly associated with significantly (p<0.001) longer PFS (16M (7,/; n=16) vs 3.5M (2,6; n=22)). Patients with radiologically stable or progressive disease and concomitant leading STM decrease had similar PFS in the CHT-ICI combination phase (4M (3,7; n=16) vs 4.5M (2,6; n=14)), but longer PFS in the mono-ICI maintenance setting (13M (7,16; n=10) vs 3M (2,4; n=17)). Median OS was not reached in most subgroups.

Conclusion

Leading STM dynamics provide predictive biomarker information additional to radiological response evaluation patients receiving CHT-ICI combination therapy, especially in the mono-ICI maintenance setting.

Multiple cutaneous and haemorrhagic brain metastases as the sentinel presentation of lung adenocarcinoma

Skin is a relatively uncommon site of metastasis in lung cancer and is associated with a poor prognosis. Although, lung cancer does not uncommonly metastasise to the brain, haemorrhagic brain metastases are rarely reported. In this report, we present a dramatic presentation of a female smoker with a 3-week history of numerous cutaneous lesions over her body and two episodes of transient memory loss. Work-up demonstrated widely metastatic, poorly differentiated lung adenocarcinoma with haemorrhagic brain metastases. She proceeded with whole brain radiotherapy, but her performance status quickly declined afterwards; she succumbed to her malignancy within 6 weeks of presentation. This case presentation demonstrates that, for patients who present with cutaneous masses, especially those aged more than 60 years, and who have extensive smoking history, metastatic lung cancer should remain on the differential diagnosis. Also, the very poor prognosis of multiple metastases may influence medical and social decisions in the patient's treatment plan.

Prognostic nomogram on clinicopathologic features and serum indicators for advanced non-small cell lung cancer patients treated with anti-PD-1 inhibitors

Background

Immune checkpoint inhibitors (ICIs) have appeared as a promising therapy regimen for non-small cell lung cancer (NSCLC), but with an unsatisfying therapeutic response and inefficiency of a single predictive biomarker in patients’ selection.

Methods

Central data of clinicopathologic features, peripheral blood indicators, and treatment records were collected in advanced NSCLC patients accepting PD-1 inhibitors in Changhai Hospital from July 2016 to September 2019. The OS probability nomogram was developed according to Akaike Information Criterion (stepAIC) selected factors. The predictive accuracy of the nomogram was assessed by discrimination and calibration. C-index and decision curve analysis were used to compare with the previously reported model (Botticelli Model). Computers resampling 500 times (Bootstrap 500 times) were performed to validate the model internally. According to the nomogram-based total point scores (TPS), we divided patients into different risk groups.

Results

A total of 110 patients were enrolled in this study. Six predictors, including liver metastasis, Eastern Cooperative Oncology Group Performance Status (ECOG PS), second- or third-line immunotherapy, baseline levels of CRP, cytokeratin 19 fragment (CYFRA21-1), were selected to set up the nomogram. The C-index of the current nomogram was 0.81 (95% CI: 0.72–0.80), keeping the same accuracy as the earlier one. Calibration plots showed slight underestimation in patients with predictive mortality <44% at 12 months and overestimation in patients with predictive mortality >44%. Decision curve analysis showed that the current nomogram was with a higher net benefit rate than the earlier model. According to the cut-off points of TPS, patients were divided into three subgroups: low risk (TPS ≤118), intermediate-risk (118< TPS ≤189), and high risk (TPS >189). A significant OS difference was observed among subgroups. Median OS was 6.6, 4.5, 1.3 months, respectively.

Conclusions

We proposed a novel nomogram model on easily available and inexpensive clinicopathologic features, peripheral blood indicators which is beneficial in individual risk assessment for advanced NSCLC patients before receiving PD-1 inhibitors, and assisting clinicians in accurately determining therapeutic decisions.

Lactate dehydrogenase and serum tumor markers for predicting metastatic status in geriatric patients with lung adenocarcinoma

BACKGROUND

No tumor biomarker (TM) is available for de novo metastatic lung adenocarcinoma.

OBJECTIVE

To examine the serum levels of carcinoembryonic antigen (CEA), cytokeratin-19 fragments (CYFRA21-1), neuron-specific enolase (NSE), carbohydrate antigen (CA) 19-9, CA125, tissue polypeptide antigen (TPA), tissue polypeptide specific antigen (TPS), and lactate dehydrogenase (LDH) to predict de novo metastatic lung adenocarcinoma.

METHODS

This was a retrospective study of geriatric (⩾ 60 years of age) patients with lung cancer diagnosed at Shanxi Cancer Hospital from 02/2012 to 12/2017. CEA, CYFRA21-1, CA199, NSE, CA125, TPA, and TPS were detected by ELISA and LDH was detected by LDH kit. Their predictive value was assessed using receiver operating characteristic (ROC) curves and multivariable logistic regression.

RESULTS

The positive rates of LDH and TMs were higher in the metastatic group (all P< 0.05). The best single TMs were CYFRA21-1 (70.5% sensitivity) and CA199 (92.0% specificity). When using any two, the best were CYFRA21-1+TPA (77.1% sensitivity) and CA199+TPA or NSE (both 84.1% specificity). High LDH and CA125 statuses were each independently associated with brain, bone, liver, and lung metastases (all P< 0.05).

CONCLUSIONS

Abnormal level of LDH and TMs, alone or in combination, had predictive value for metastasis in geriatric patients with lung adenocarcinoma; these indicators were also associated with the metastatic site.

Integrative Omics Analysis Reveals Soluble Cadherin-3 as a Survival Predictor and an Early Monitoring Marker of EGFR Tyrosine Kinase Inhibitor Therapy in Lung Cancer

PURPOSE

EGFR tyrosine kinase inhibitors (EGFR-TKI) benefit patients with advanced lung adenocarcinoma (ADC) harboring activating EGFR mutations. We aimed to identify biomarkers to monitor and predict the progression of patients receiving EGFR-TKIs via a comprehensive omic analysis.

EXPERIMENTAL DESIGN

We applied quantitative proteomics to generate the TKI resistance-associated pleural effusion (PE) proteome from patients with ADC with or without EGFR-TKI resistance. Candidates were selected from integrated genomic and proteomic datasets. The PE (n = 33) and serum (n = 329) levels of potential biomarkers were validated with ELISAs. Western blotting was applied to detect protein expression in tissues, PEs, and a cell line. Gene knockdown, TKI treatment, and proliferation assays were used to determine EGFR-TKI sensitivity. Progression-free survival (PFS) and overall survival (OS) were assessed to evaluate the prognostic values of the potential biomarkers.

RESULTS

Fifteen proteins were identified as potential biomarkers of EGFR-TKI resistance. Cadherin-3 (CDH3) was overexpressed in ADC tissues compared with normal tissues. CDH3 knockdown enhanced EGFR-TKI sensitivity in ADC cells. The PE level of soluble CDH3 (sCDH3) was increased in patients with resistance. The altered sCDH3 serum level reflected the efficacy of EGFR-TKI after 1 month of treatment (n = 43). Baseline sCDH3 was significantly associated with PFS and OS in patients with ADC after EGFR-TKI therapy (n = 76). Moreover, sCDH3 was positively associated with tumor stage in non-small cell lung cancer (n = 272).

CONCLUSIONS

We provide useful marker candidates for drug resistance studies. sCDH3 is a survival predictor and real-time indicator of treatment efficacy in patients with ADC treated with EGFR-TKIs.

P-STAT3 and IL-17 in tumor tissues enhances the prognostic value of CEA and CA125 in patients with lung adenocarcinoma

AIM

The present study aimed to examine the capability of p- signal transducer and activator of transcription (STAT)3 and interleukin-17 (IL-17), along with two known tumor markers carcinoembryonic antigen (CEA) and carbohydrate antigen 125 (CA125), for disease prognosis. Moreover, the associations among biomarkers and clinicopathological parameters were evaluated to uncover the potential mechanisms responsible for their correlations with lung adenocarcinoma (LAD) prognosis.

METHODS

Five LAD-related parameters were used in the study: CEA, CA125, STAT3, p-STAT3, and IL-17. Spearman and chi-square correlation tests were used to explore the relationships between some clinicopathological variables and parameter expression levels and the associations among these five parameters.

RESULTS

The disease-specific survival decreased with the positive expression of CEA, CA125, p-STAT3, and IL-17, with no significant difference in the expression level of STAT3. Combinations of p-STAT3 and IL-17, CEA and p-STAT3, CEA and IL-17, CA125 and p-STAT3, and CA125 and IL-17 had higher predictive values in LAD prognosis. The correlation analyses indicated the synergic activities of STAT3, p-STAT3, and IL-17 and the coordinated expression of CEA, CA125, p-STAT3, and IL-17. The tumor-node-metastasis (TNM) stage significantly correlated with the levels of CA125 and p-STAT3.

CONCLUSIONS

Elevated levels of CEA, CA125, p-STAT3, and IL-17 alone and/or combinations of p-STAT3 and IL-17, CEA and p-STAT3, CEA and IL-17, CA125 and p-STAT3, and CA125 and IL-17 were recommended as the prognostic predictors of unfavorable clinical outcomes in patients with postoperative LAD. Also, p-STAT3 and IL-17 combined with CA125 and CEA helped in predicting the overall survival of patients with LAD and informing the TNM stage.

Relationship between serum tumor markers and Anaplastic Lymphoma Kinase mutations in stage IV lung adenocarcinoma in Hubei province, Central China

Objective

The aim of this study was to explore the predictive value of carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCAg), and neuron‐specific enolase (NSE) in the prediction of anaplastic lymphoma kinase (ALK) mutations in advance stage non‐small cell lung cancer (NSCLC).

Subjects and Methods

A total of 482 cases with untreated lung adenocarcinoma were retrospectively reviewed. Finally, 72 patients with stage IV were enrolled because of intact data of the detection of ALK rearrangement and serum tumor markers, as well they have not received any previous anticancer therapy. We used the one‐way ANOVA analysis, correlation analysis, and multiple logistic regression analysis to evaluate the relationship between the level of serum tumor markers and ALK mutations.

Results

Fifteen cases with ALK mutations and 57 cases without mutations were identified. The result of the one‐way ANOVA analysis showed only CEA was significantly associated with ALK mutations (95% CI:39.05‐148.88; P = .001). The area under the ROC curve (AUC) of CEA was 0.705 (95%CI:0.567‐0.843; P = .015). However, no significant association was observed between CEA and ALK mutations though the result of correlation analysis (P = .069) and multivariate logistic regression analysis (OR = 0.988, 95% CI: 0.972‐1.003, P = .111).

Conclusions

In our study, we performed on the patients with stage IV lung adenocarcinoma in our region and found preoperative serum levels of SCCAg, CYRF21‐1, and NSE not suitable for the detection of ALK mutation. Although we observed a significant association between CEA and ALK mutations; however, it was not strong enough to distinguish ALK status for the patients in our region.

Early serum tumor marker dynamics predict progression-free and overall survival in single PD-1/PD-L1 inhibitor treated advanced NSCLC-A retrospective cohort study

OBJECTIVES

To evaluate serum tumor markers (STM) as biomarkers for treatment monitoring and prognosis in advanced non-small cell lung cancer (NSCLC) treated with single-agent PD-1/PD-L1-directed immune checkpoint inhibitor (ICI) therapy.

MATERIALS AND METHODS

Carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), cytokeratin-19 fragments (CYFRA 21-1) and neuron specific enolase (NSE) were routinely measured at NSCLC diagnosis, initially elevated markers were used for follow-up. Leading STM change between ICI initiation and first subsequent restaging as well as corresponding computed tomography evaluations according to response evaluation criteria in solid tumors (RECIST) were retrospectively analyzed regarding progression-free (PFS) and overall survival (OS). In uni- and multivariate stepwise Cox-regression analyses, STM and RECIST response were analyzed for their impact on PFS and OS together with other known prognostic patient and tumor characteristics.

RESULTS

Among 84 patients (61% men, mean age 68 years), median PFS was significantly (p < 0.001) longer, when STM decreased (11 M (7,19) N = 37) than in case of increases (<2-fold: 6 M (3,8) N = 31; ≥2-fold: 2 M (1,2) N = 16). Patients with initial STM decrease had longer (p < 0.001) median OS (not reached) than with STM increase (<2-fold: 14 M (12,26); ≥2-fold: 4 M (3,7)). Patients with stable or progressive disease by RECIST and concomitant STM decrease had longer (p < 0.001) PFS and OS (8 M (4,14) and 18 M (10,n.e.) N = 24) than upon STM increase (PFS: 2 M (2,4); OS: 10 M (6,13) N = 42). Significant impact on PFS was shown for STM response (p < 0.001), RECIST response (p = 0.003) and PD-L1 status (p = 0.003). For OS, STM response (p < 0.001), presence of cerebral metastases (p = 0.036) and therapy line ≥3 (p = 0.001) were identified.

CONCLUSION

Decreasing leading STM at first restaging predict longer PFS and OS and identify patients with favorable outcomes among initial radiological non-responders in ICI treated NSCLC patients.