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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Here, we present a protocol to evaluate the effects of radiation therapy on immune system lymphocytes in small cell lung cancer.

Abstract

Small cell lung cancer (SCLC) has garnered significant attention due to its high malignancy, propensity for distant metastasis, and poor prognosis. Radiotherapy remains the cornerstone of treatment for limited-stage small cell lung cancer (LS-SCLC). However, outcomes with radiotherapy alone or in combination with chemotherapy remain suboptimal. Radiotherapy can induce lymphopenia by directly irradiating hematopoietic organs or destroying mature circulating lymphocytes, leading to immunosuppression and consequently diminishing therapeutic efficacy. The estimated dose of radiation to immune cells (EDRIC) model integrates factors such as hemodynamics, lymphocyte radiosensitivity, and proliferation capacity. This study employs the EDRIC model with enhancements to calculate the circulating immune cell radiation dose. By utilizing the EDRIC methodology, the study explores the correlation between EDRIC and tumor target size, average lung dose, average heart dose, clinical features, and peripheral blood lymphocytopenia during radiotherapy for LS-SCLC, aiming to inform personalized patient treatment strategies.

This study analyzed data from 64 LS-SCLC patients who met the inclusion criteria at the General Hospital of Ningxia Medical University from January 2023 to January 2024, all of whom received radical thoracic conventional fractionated radiotherapy. Lymphocyte counts were recorded at the following points: before radiotherapy, at the lowest observed value during radiotherapy, at the end of radiotherapy, and one-month post-radiotherapy. Dosimetric data, including average lung, heart, and body doses, were extracted from the treatment planning system, and the circulating EDRIC was calculated using this model. The relationship between EDRIC values and therapeutic outcomes was analyzed. In LS-SCLC, the EDRIC model effectively predicts lymphocyte count reduction, correlating with planning target volume (PTV; cm3), TNM stage, and the percentage of target lesion shrinkage. Post-radiotherapy, there was a significant decrease in peripheral blood lymphocyte counts, with greater EDRIC values indicating more pronounced lymphocyte reduction.

Introduction

Lung cancer remains a leading cause of morbidity and mortality worldwide, with small cell lung cancer (SCLC) comprising 13%-17% of cases1,2. SCLC is characterized by a high degree of malignancy and a propensity for early distant metastasis, often leading to late-stage diagnosis and poor prognosis. Advances in medical technology and a deeper understanding of the biological characteristics of SCLC have highlighted the potential value of radiotherapy in its treatment. Nonetheless, outcomes with radiotherapy alone or in combination with chemotherapy remain suboptimal. Identifying key factors influencing the efficacy of radiotherapy in SCLC is essential to provide a theoretical basis for individualized treatment strategies and prognosis prediction.

The immune system exhibits intricate interactions with radiation or chemotherapy, enhancing tumor cell eradication during treatment3,4. Radiation therapy, for instance, can foster immune activation via cytokine or antigen release, thereby inducing tumor regression within the radiation field (known as the abscopal effect)5. However, radiotherapy may also induce immunosuppression when treating various solid tumors, potentially compromising therapeutic efficacy. This immunosuppression may stem from myelosuppression due to direct irradiation of hematopoietic organs or the destruction of mature circulating lymphocytes, resulting in reduced lymphocytes. Studies have pinpointed specific tumor size and radiation doses to critical organs such as the heart and lungs in small cell lung cancer as crucial predictors of immunosuppression, with potential implications for patient survival6.

Lymphocytes and their precursor cells rank among the most radiation-sensitive cell types7. Susannah Yovino's8 investigation into circulating cell radiation dose (DCC) in brain glioma patients post-radiotherapy revealed that alterations in the size of the planning target volume (PTV) influence the average DCC radiation dose. The radiation dose to circulating blood cells may significantly contribute to the mechanism of induced lymphocytopenia. While irradiation of bone marrow or lymph nodes can induce lymphocytopenia, irradiation of structures devoid of lymphoid tissue or bone marrow, such as the brain, can also trigger lymphocytopenia. Jin et al.9developed the estimated dose of radiation to immune cells (EDRIC) model and dosimetry to quantify radiotherapy-induced immune system damage. This study employs the EDRIC model with enhancements from Ladbury et al.6 to calculate the circulating immune cell radiation dose.

Consequently, the EDRIC method was utilized to compute the circulating lymphocyte radiation dose and investigate its relationship with treatment efficacy and prognosis during radiotherapy for small cell lung cancer10. The correlation between EDRIC values and factors such as age, gender, Karnofsky Performance Status (KPS) score, smoking history, tumor size, and tumor stage was analyzed through stratification. Furthermore, the correlation between peripheral blood lymphocytopenia and circulating lymphocyte radiation dose was compared to lay the groundwork for personalized treatment strategies and prognosis prediction.

Protocol

Following stringent adherence to this study's inclusion and exclusion criteria, informed consent for radiotherapy was obtained from each patient and their guardian. Clinical staging was conducted in accordance with the American Joint Committee on Cancer (AJCC) TNM staging system (8th edition). The Ethics Committee of Ningxia Medical University General Hospital (KYLL-2022-0984) granted approval for this study.

NOTE: The inclusion criteria were as follows: (i) pathologically confirmed limited-stage small cell lung cancer (TNM stage II and III); (ii) initial radiotherapy treatment utilizing conformal intensity-modulated radiotherapy (IMRT) or volumetric arc intensity-modulated radiotherapy (VMAT), with a total radiation dose ranging from 50-60 Gy and a single dose of 2 Gy; (iii) pre-radiotherapy blood parameters within the normal range (WBC ≥ 4 x 109 cells/L, Hb ≥ 100 g/L, PLT ≥ 100 x 109/L), and normal function of vital organs such as the heart, liver, and kidneys; (iv) availability of complete clinical data and radiotherapy records; (v) expected survival of more than 3 months; (vi) non-pregnant or lactating women. The exclusion criteria included: (i) patients with blood or immune system disorders or significant organ damage; (ii) history of prolonged oral steroid therapy; (iii) patients who did not complete planned radiotherapy; (iv) recent history of confirmed infection.

1. General clinical information

  1. Collect patient data.
    NOTE: Data from 64 patients diagnosed with LS-SCLC, meeting the inclusion criteria and undergoing radiation therapy at the Department of Radiotherapy, General Hospital of Ningxia Medical University from January 2023 to January 2024, were collected. Among them, 48 were male and 16 were female, aged from 41 to 85 years. According to the AJCC TNM staging system (8th edition), there were 9 stage II and 55 cases of stage III. All 60 patients received chemotherapy before radiotherapy, with 46 patients undergoing chemotherapy more than twice (Table 1). Radiation therapy technically includes intensity-modulated radiation therapy (IMRT) or volumetric intensity-modulated arc therapy (VMAT).

2. Pretreatment preparation

  1. Diagnose small cell lung cancer by bronchoscopy or puncture pathology11, as shown in Figure 1.
  2. Exclude metastasis using magnetic resonance imaging (MRI) of the brain, neck, and abdomen and locate the tumor area by positron emission tomography-computed tomography (PET/CT)12, as shown in Figure 2A-C.
  3. Perform cardiac enzyme test, electrocardiogram, cardiac ultrasonography, pulmonary function, and thyroid function to evaluate the cardiopulmonary function and judge that there are no contraindications10.
  4. Fully inform patients and their families of the risks and complications related to radiotherapy and sign radiotherapy-related consents.
    NOTE: Radiotherapy initiation time: for patients with large tumors, extensive metastasis of regional lymph nodes, and concomitant atelectasis, 2 courses of chemotherapy can be given first, no later than the third cycle of chemotherapy.

3. Radiotherapy

  1. Positioning: Keep the patient supine, with the body surface marked with mapping lines and the hands and elbows resting on the forehead. Immobilize the patient using a thermoplastic mold to ensure stability. Conduct enhanced CT scanning to provide clear visualization of the tumor and surrounding blood vessels, as shown in Figure 3A.
    NOTE: Enhanced CT scaning parameters are as follows: (1) Dosage of contrast agent: 80 mL Dianbitol. (2) Injection rate: 3 mL/s. (3) Scanning time: the first phase: 30-35 s, the second phase: 70-80 s, if necessary, can be delayed 3 to 10 min. The CT simulation scan encompassed the upper skull base level, with the lower boundary extending 10 cm below the diaphragm. Image slices, 5 mm in thickness, are uploaded to the Pinnacle treatment planning system.
  2. Target delineation: Accurately delineate the radiotherapy area for SCLC by pinnacle system in positioning CT images, as shown in Figure 3B, C.
    1. Gross tumor volume- primary (GTVp): Delineate the GTV using a combination of pulmonary and mediastinal window settings, adhering to RTOG criteria and referencing PET-CT, enhanced CT, and bronchoscopy findings.
      1. Exclude areas of atelectasis and exudates devoid of Fluorodeoxyglucose (FDG) uptake from delineation. Do not wrap long burrs and pleural traction parts. Include burrs with a length of less than 5 mm in the target area.
    2. GTV of the metastatic lymph node (GTVnd): Delineate mediastinal metastatic lymph nodes using chest CT and PET/CT.
    3. Clinical target volume (CTV): Encompass the CTV GTVp with a 0.5 cm margin, incorporating anatomical trimming and cumulatively involved lymphatic drainage areas.
    4. Planning target volume (PTV): Derive from CTV with an additional 0.5 cm margin and anatomical trimming.
      NOTE: Organs at Risk Delineation and Constraints: Spinal cord: Maximum dose (Dmax) < 40 Gy. Left lung: Volume receiving 20 Gy (V20) < 20%. Right lung: V20 < 20%. Bilateral lungs: Mean dose (Dmean) < 13 Gy. Liver: Volume receiving 30 Gy (V30) < 30%. Heart: V30 < 30%, as shown in Figure 3D-H.
  3. Develop radiotherapy planning under the computerized therapy planning system: use 6MV-X and intensity-modulated radiotherapy (IMRT) to evaluate the target dose.
    NOTE: PTV covered by the prescription dose line had good conformability, uniform dose distribution in the target area, no cold spot in the target area, and no hot spot in the organ at risk. Normal tissue limits were in the normal range, as shown in Figure 3I, J.
  4. Execute the radiotherapy plan5: Perform radiotherapy using a linear accelerator and compare the cone beam computed tomography (CBCT) test with positioning CT position (once a week), double placement, once a day, 5 times a week, as shown in Figure 4A, B.
  5. Perform a secondary CT scan with the dose reaching 30-40 GY to evaluate the therapeutic effect. Reduce the target area if necessary until the dose reaches 50-60 GY, as shown in Figure 5A, B.
    NOTE: The therapeutic response was observed during the treatment process, and symptomatic treatment was given according to the situation.

4. Evaluation method and index

  1. Calculate mean lung dose, mean heart dose, and overall total dose volume data according to the EDRIC method with the following formula:
    EDRIC = 0.12 × MLD + 0.08 × MHD + figure-protocol-7401 × MBD
    Where, B1% = 0.12, B2% = 0.08, B3% =0.45, and B4% = 0.35 represent the percentage of the four main blood-containing organs (lung, heart, large blood vessels, small blood vessels/capillaries) in the total blood volume in the body; MLD, MHD and MBD are the mean lung dose, mean heart dose and mean body dose, wherein MBD refers to the radiation dose per unit volume of the body. In this study, MBD is the average body dose from the thyroid cartilage level to the upper margin of the sixth thoracic vertebra, which can be statistically obtained through the treatment planning system.
  2. Observe the changes in chest CT lesions and mediastinal lymph nodes in patients before and 1 month after radiotherapy. Evaluate treatment efficacy according to response evaluation criteria in solid tumors(RECIST), and analyze the relationship between EDRIC value and treatment efficacy.
  3. Count the lowest value of peripheral blood lymphocytes before and during radiotherapy and analyze its correlation with circulating lymphocyte radiation dose and therapeutic effect.

5. Statistical methods

  1. Perform statistical analyses using the independent sample T-test or Chi-square test to assess differences between continuous and categorical variable groups.
  2. Utilize the Spearman correlation coefficient to evaluate variable correlations.
    NOTE: All statistical analyses were conducted using SPSS, and P < 0.05 was considered statistically significant.

Results

Clinical outcome
The operative time changes in chest CT lesions and mediastinal lymph nodes were observed in all patients before and 1 month after radiotherapy, with therapeutic efficacy evaluated using RECIST criteria. Among the 64 patients with limited-stage small cell lung cancer, 4 cases exhibited complete response, while 57 cases showed partial response, and three patients had stable disease.

The correlation analysis between EDRIC and various clinical features revealed a significant association between EDRIC values and with PTV (cm3), TNM stage, and the percentage of target lesion shrinkage (P < 0.05). Specifically, higher total radiation doses were associated with elevated EDRIC values, indicative of a more considerable extent of tumor regression. No significant correlations were observed with age, KPS score, total radiation dose, and Ki-67 status (P > 0.05) (Table 2).

Using the CTCAE 5.0 grading criteria, lymphocytopenia was categorized into four grades: G0 (≥1.5 × 109/L), G1 (<1.5 × 109/L, ≥0.8 × 109/L), G2 (<0.8 × 109/L, ≥0.5 × 109/L), G3 (<0.5 × 109/L, ≥0.2 × 109/L), and G4 (<0.2 × 109/L). Before radiotherapy, 30 cases were classified as grade 0 (G0), 29 cases as grade 1 (G1), and 5 cases as grade 2 (G2). During radiotherapy, the lowest lymphocyte classification levels were as follows: 18 cases of G1, 24 cases of G2, 20 cases of G3, and 2 cases of G4, significantly impacting post-radiotherapy peripheral blood lymphocyte counts, as shown in Figure 6A.

According to the EDRIC values, 64 patients with SCLC were divided into 4 groups: <7.5 Gy, 7.5-9.5 Gy, 9.6-10.7 Gy, and >10.7 Gy groups. EDRIC represents the intensity of radiotherapy, and a higher EDRIC value indicates a more pronounced reduction in peripheral blood lymphocytes and a more limited immune function. To compare the treatment effects of different radiotherapy intensities on SCLC patients, the number of patients in each radiotherapy dose group with G1-G2 and G3-G4 was used to statistically analyze whether there was a significant difference. The results showed that the G1-G2 (15 cases) and G3-G4 (1 case) phases of SCLC patients in the <7.5 Gy group, 7.5-9.5 Gy group (G1-G2, 14 cases; G3-G4, 2 cases), 9.6-10.7 Gy group (G1-G2, 10 cases; G3-G4, 6 cases), and >10.7 Gy group (G1-G2, 6 cases; G3-G4, 10 cases) had statistically significant differences (P < 0.001), as shown in Figure 6B.

figure-results-2881
Figure 1: Preradiotherapy pathology. (A) Hematoxylin-eosin (HE) stain determined a small amount of small blue round tumor cells in a small amount of fibrous connective tissue in the right lung. (B) Small cell carcinoma was diagnosed by immunohistochemical results: TTF-1(+), CD56(+), Syn(+), CgA(+), CKpan(+), LCA(+), Ki67(> 90%), BRAF(+), SSTR2(+) and INSM1(+). Magnification: 200x. Scale bar: 200 µm. Please click here to view a larger version of this figure.

figure-results-3688
Figure 2: Preoperative imaging data. (A) PET-CT showed mediastinal lesions. (B) SPECT/CT showed no systemic bone metastasis. (C) Brain MRI showed no abnormality. Please click here to view a larger version of this figure.

figure-results-4267
Figure 3: Radiotherapy. (A) CT localization before radiotherapy. (B,C) Target delineation. The red range is GTV, the blue range is CTV, and the light blue is PTV. Organs at Risk Delineation and Constraints. (D) Bilateral lung tissue. (E) Cardiac tissue. (F) Bilateral brachial plexus tissue. (G) The whole spinal cord is in the scan area. (H) Liver tissue. (I,J) Planning of radiation therapy. Please click here to view a larger version of this figure.

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Figure 4: Radiotherapy administration. Position of a patient during the radiotherapy process. Please click here to view a larger version of this figure.

figure-results-5630
Figure 5: Post-radiotherapy imaging. (A) Pretreatment CT and CT scan at 30-40 Gy completion of treatment. (B) Dose and volume histogram. Please click here to view a larger version of this figure.

figure-results-6162
Figure 6: Representative results: (A) Peripheral blood lymphocytopenia before and after radiotherapy for LS-SCLC. (B) Relationship between EDRIC and decreased lymphocyte count. P represents the statistical difference between the proportion of G0-G1 and G2-G3 at different radiation doses (Gy). Please click here to view a larger version of this figure.

ItemsNumber of cases (%)
Age≤7048 (75)
>7016 (25)
Gender
 
Male48 (75)
Female16 (25)
KPS≥7061 (95.3)
<703 (4.7)
Smoking historyYes22 (34.3)
No42 (65.6)
TNM stagingPhase II9 (14.1)
Phase III55 (85.9)
PTV, Average (cm3)<400 cm344 (68.8)
≥400 cm320 (31.2)
Chemotherapy≤218 (28.1)
>246 (71.9)
Dose (Gy)<60 Gy29 (45.3)
≥60 Gy35 (54.7)
Therapeutic techniqueIMRT25 (39.1)
VMAT39 (60.9)

Table 1: General clinical data of the patient.

IndexEDRIC
Correlation IndexP value
Age-0.1040.414
KPS-0.1280.314
Total radiation dose0.0810.528
PTV (cm3)0.5850.000
TNM0.3540.004
Ki 67-0.2070.100
Percentage reduction in volume of target lesions0.6150.000

Table 2: Correlation between different variables and EDRIC.

Discussion

The immune system plays a pivotal role in tumor control during radiotherapy, yet radiation-induced immunotoxicity, such as lymphocytopenia, is linked to unfavorable survival outcomes13,14. SCLC is characterized by its high malignancy, often diagnosed in advanced stages with a dismal prognosis. Radiotherapy stands as the cornerstone treatment for LS-SCLC. However, its impact on the immune system is complex. The efficacy of radiotherapy alone or in combination with chemotherapy remains suboptimal. Elevated radiation doses to the immune system may compromise various immune functions, including anti-tumor immunity, thereby attenuating its tumor-killing effects. Increasing radiotherapy doses in LS-SCLC could theoretically enhance tumor cell eradication. However, some studies suggest that dose escalation may amplify toxic side effects and associated risks15,16.

Lymphocytes, as crucial immune cells, engage in many immune system functions. While increasing radiotherapy doses can intensify tumor eradication, it concurrently exacerbates immune system impairment, leading to immunosuppression and diminishing therapeutic efficacy, thus offsetting the advantages of high-dose radiotherapy17. Extensive research has underscored the radiosensitivity of lymphocytes, revealing that even low doses of whole-body radiation exposure can induce reductions in circulating lymphocyte counts and detectable cytogenetic abnormalities in lymphocytes, persisting for up to a decade post-exposure18. The precise mechanisms underlying radiotherapy-induced lymphocytopenia remain incompletely elucidated, with potential associations with factors such as irradiation volume, fractionation regimen, irradiation site, and radiation dose19.

The data from this study revealed a decline in lymphocyte counts following radiotherapy: 18 cases of G1, 24 cases of G2, 20 cases of G3, and 2 cases of G4. This decline in peripheral blood lymphocyte count post-radiotherapy corroborates the observed lymphocytopenia, a hallmark of immunosuppression, which has been linked to adverse prognostic outcomes in numerous solid tumors. Tang et al.20 investigated 711 non-small cell lung cancer patients undergoing radiotherapy and demonstrated that a wider lung radiotherapy target range and lower minimum lymphocyte values were associated with poorer prognosis. These findings underscore the significant impact of extensive radiotherapy on patient lymphocyte levels, undermining immune defense function and ultimately influencing prognosis and survival. Yovino et al.8 published research similarly highlighted the impact of PTV size changes on lymphocyte radiation doses. In our study, we also observed a correlation between the EDRIC values, PTV (cm3), TNM stage, and the percentage of target lesion shrinkage. Specifically, higher total radiation doses were associated with increased EDRIC values, larger tumor regression ratios, and improved efficacy evaluations. The total radiation dose also approached statistical significance (P < 0.05). Given the limited sample size in this study, further investigation with expanded sample size and stratified analysis of confounding factors is warranted to confirm these findings.

Lymphocytes serve as primary effector cells in tumor cell eradication within the body21,22. Research across various solid tumors has consistently identified lymphocytopenia as a prognostic marker for adverse outcomes in patients with malignancies23,24. Notably, in the radiotherapy oncology group 0617 phase III clinical trial, the EDRIC emerged as a pivotal determinant of tumor control and long-term survival among patients undergoing chemoradiation for stage III NSCLC10. Elevated EDRIC levels were associated with diminished lymphocyte and neutrophil counts. Grossman et al.25 similarly documented reductions in peripheral blood lymphocyte count during radiotherapy across several solid tumors, including glioma, pancreatic cancer, cervical cancer, lung cancer, and breast cancer, consistent with the findings of this study. In our investigation, EDRIC emerged as a critical factor influencing lymphocyte count reduction, with higher EDRIC levels correlating significantly with more pronounced declines in peripheral blood lymphocytes (P < 0.01). Despite most patients receiving concurrent or sequential chemotherapy, EDRIC remained a significant predictor of lymphocyte count reduction. Moreover, abundant data support the association between EDRIC and treatment efficacy and long-term patient survival. Future research should aim to validate the relationship between EDRIC and prognosis. EDRIC represents a quantifiable risk factor, and limiting its dose may mitigate radiotherapy-induced damage to the immune system, contributing to optimizing treatment planning and offering potential clinical utility.

In this study, the EDRIC model emerged as a valuable tool for predicting reduced lymphocyte counts in LS-SCLC. EDRIC exhibited correlations with the total irradiation dose and the percentage of target lesion reduction. Following radiotherapy, a significant decrease in peripheral blood lymphocyte count was observed, with higher EDRIC values correlating with more pronounced reductions in lymphocyte counts. While this study has yielded promising results, several limitations warrant consideration. Firstly, the assessment of circulating lymphocyte irradiation dose remains incomplete, encompassing only lung and heart doses. A comprehensive evaluation incorporating doses to other irradiated organs is essential, as circulating immune cells are anticipated to serve as critical organs at risk during radiotherapy, offering valuable insights into treatment efficacy prediction and prognosis. Secondly, this study represents a single-center retrospective analysis with limited cases, lacking comprehensive data for assessing therapeutic efficacy and prognosis. Future investigations could involve multi-center collaborations, expanding sample size, and extending follow-up durations to validate the impact of EDRIC values on treatment efficacy and furnish evidence for clinical decision-making.

Disclosures

The authors have nothing to disclose.

Acknowledgements

This work was supported by the University-level Research Project of Ningxia Medical University (XM2022017).

Materials

NameCompanyCatalog NumberComments
CT machineSiemens HealthcareSOMATOM Force
MRI machineSiemens HealthcareMAGNETOM Terra
Varian Clinac_IX Medical electron linear AcceleratorSiemens HealthcareIX 

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