Prognostic Value of Serum Tumor Markers in Patients With Stage III NSCLC Treated With Chemoradiotherapy

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.

Palliative Radiotherapy for Non-metastatic Non-small-cell Lung Cancer: Impact of Blood Test Results on Survival

BACKGROUND/AIM

Non-small-cell lung cancer (NSCLC) not amenable to curative treatment can be managed with palliative thoracic radiation or chemoradiation, however, with variable success. This study evaluated the prognostic impact of the LabBM score [serum lactate dehydrogenase (LDH), C-reactive protein, albumin, hemoglobin, platelets] in 56 patients who were scheduled to receive at least 10 fractions of 3 Gy.

PATIENTS AND METHODS

Uni- and multivariate analyses of prognostic factors for overall survival were employed in a retrospective single-institution study of stage II and III NSCLC.

RESULTS

The first multivariate analysis showed that hospitalization in the month before radiotherapy (p<0.001), concomitant chemoradiotherapy (p=0.03), and LabBM point sum (p=0.09) were the leading predictors of survival. A second model with individual blood tests rather than the sum score suggested that concomitant chemoradiotherapy (p=0.002), hemoglobin (p=0.01), LDH (p=0.04), and hospitalization before radiotherapy (p=0.08) played important roles. Surprisingly long survival was seen in patients without prior hospitalization who received concomitant chemoradiotherapy and had favorable LabBM score (0-1 points): median 24 months, 5-year rate 46%.

CONCLUSION

Blood biomarkers provide relevant prognostic information. The LabBM score has 1) previously been validated in patients with brain metastases and 2) demonstrated encouraging results in a cohort irradiated for different palliative non-brain indications, e.g., bone metastases. It might be helpful in predicting survival in patients with non-metastatic cancer, e.g., NSCLC stage II and III.

Diagnostic value of combination of exfoliative cytology with CA125, CEA, NSE, CYFRA21-1 and CA15-3 for lung cancer

Background: To explore the diagnostic value of combination of exfoliative cytology with detection of tumor markers carbohydrate antigen 125 (CA125), carcinoembryonic antigen (CEA), neuron specific enolase (NSE), cytokeratin 19 fragment antigen 21-1 (CYFRA21-1) and CA15-3 for lung cancer.

Methods: A total of 256 patients were enrolled, including 164 males and 92 females aged (64.51±22.68) years old. Among them, 189 patients (100 males and 89 females) were randomly selected as Tumor group, and the remaining 67 patients were used for validation. Another 514 healthy people receiving physical examination in our hospital during the same period were selected, from which 397 cases (266 males and 131 females) were randomly selected as No Tumor group, and the remaining 117 cases were used for validation. The biochemical criteria were detected in all subjects. The diagnostic value of each index for lung cancer was analyzed using receiver operating characteristic (ROC) curves.

Results: The results of ROC curve analysis revealed that in Tumor group, the area under curve (AUC) of exfoliative cytology, CA125, CYFRA21-1, CA15-3, CEA and NSE was ≥0.7, while that of CA72-4, CA19-9, TSGF, AFP, CA242, SCCAg and CA50 was <0.7. The indices in each factor were comprehensively assessed, and then exfoliative cytology, CA125, CA15-3, CYFRA21-1, CEA and NSE were screened to establish the lung cancer prediction model. The diagnostic value was comparable between the prediction model and the combined detection of 9 indices (Z=1.682, P=0.079).

Conclusions: The lung cancer prediction model balances sensitivity and specificity without reducing the diagnostic efficiency.

Development and validation of a prediction model using molecular marker for long-term survival in unresectable stage III non-small cell lung cancer treated with chemoradiotherapy

Background

This study aimed to establish a predictive nomogram integrating epidermal growth factor receptor (EGFR) mutation status for 3‐ and 5‐year overall survival (OS) in unresectable/inoperable stage III non‐small cell lung cancer (NSCLC) treated with definitive chemoradiotherapy.

Methods

A total of 533 stage III NSCLC patients receiving chemoradiotherapy from 2013 to 2017 in our institution were included and divided into training and testing sets (2:1). Significant factors impacting OS were identified in the training set and integrated into the nomogram based on Cox proportional hazards regression. The model was subject to bootstrap internal validation and external validation within the testing set and an independent cohort from a phase III trial. The accuracy and discriminative capacity of the model were examined by calibration plots, C‐indexes and risk stratifications.

Results

The final multivariate model incorporated sex, smoking history, histology (including EGFR mutation status), TNM stage, planning target volume, chemotherapy sequence and radiation pneumonitis grade. The bootstrapped C‐indexes in the training set were 0.688, 0.710 for the 3‐ and 5‐year OS. For external validation, C‐indexes for 3‐ and 5‐year OS were 0.717, 0.720 in the testing set and 0.744, 0.699 in the external testing cohort, respectively. The calibration plots presented satisfying accuracy. The derivative risk stratification strategy classified patients into distinct survival subgroups successfully and performed better than the traditional TNM staging.

Conclusions

The nomogram incorporating EGFR mutation status could facilitate survival prediction and risk stratification for individual stage III NSCLC, providing information for enhanced immunotherapy decision and future trial design.

Combined neat model for the prognosis of postoperative stage III-N2 non-small cell lung cancer

Background

Lung cancer serum tumor markers including carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21‐1), and carbohydrate antigen 125(CA125) as prognostic predictors is controversial. Therefore, this study aimed to evaluate the association between these markers and the survival of patients with postoperative stage III‐N2 non‐small cell lung cancer (NSCLC).

Methods

We enrolled 1011 patients with pathologically confirmed stage III‐N2 NSCLC who underwent resection and whose pretreatment serum tumor marker levels were available. Patients were categorized according to their serum levels into low‐, medium‐, and high‐risk groups. Overall survival (OS), progression‐free survival (PFS), local regional relapse‐free survival (LRFS), and distant metastasis‐free survival (DMFS) were calculated from the date of resection. Their association with each serum tumor marker was assessed using the log‐rank test.

Results

Abnormal CEA levels were associated with worse five‐year OS, PFS and DMFS; abnormal CYFRA21‐1 levels were associated with worse five‐year OS and LRFS; and abnormal CA125 levels were associated with worse five‐year OS, PFS, LRFS and DMFS. Among the risk groups, there were significant differences in five‐year OS, PFS, LRFS and DMFS (P = 0.000). In propensity score matching analysis, the model also achieved prognostic significance for all four survival classifications (P = 0.001–0.004) among the three risk groups.

Conclusions

The combined model achieved prognostic significance for all survival outcome types. The serum tumor markers tested are useful prognostic predictors for postoperative NSCLC patients but not for all survival outcomes. The combination of the three indices is more reliable in predicting all four of the survival outcomes.

Key points

Significant findings of the study

Serum CEA, CYFRA21‐1, and CA125 levels can be used as prognostic factors of postoperative N2 non‐small cell lung cancer patients but not for all survival outcomes, suggesting that combinative detection of all three indices would be more reliable.

What this study adds

Our model utilizes available technology, with conventional cutoff values, inexpensive costs, and simple mathematics methods and, thus, can be feasibly employed by clinicians or oncologists.