Literature DB >> 32206557

Prognostic factors of lung cancer in lymphoma survivors (the LuCiLyS study).

Alfonso Fiorelli1, Antonio D'Andrilli2, Annalisa Carlucci1, Giovanni Vicidomini1, Domenico Loizzi3, Nicoletta Pia Ardò3, Rita Daniela Marasco3, Luigi Ventura4, Luca Ampollini4, Paolo Carbognani4, Giovanni Bocchialini4, Filippo Lococo5, Massimiliano Paci6, Teresa Severina Di Stefano6, Francesco Ardissone7, Matteo Gagliasso7, Paolo Mendogni8, Lorenzo Rosso8, Alessandra Mazzucco8, Camilla Vanni2, Beatrice Trabalza Marinucci2, Rossella Potenza9, Alberto Matricardi9, Mark Ragusa10, Valentina Tassi10, Marco Anile11, Camilla Poggi11, Nicola Serra12, Antonello Sica13, Mario Nosotti8, Francesco Sollitto3, Federico Venuta11, Erino Angelo Rendina2, Francesco Puma9, Mario Santini1.   

Abstract

BACKGROUND: Second cancer is the leading cause of death in lymphoma survivors, with lung cancer representing the most common solid tumor. Limited information exists about the treatment and prognosis of second lung cancer following lymphoma. Herein, we evaluated the outcome and prognostic factors of Lung Cancer in Lymphoma Survivors (the LuCiLyS study) to improve the patient selection for lung cancer treatment.
METHODS: This is a retrospective multicentre study including consecutive patients treated for lymphoma disease that subsequently developed non-small cell lung cancer (NSCLC). Data regarding lymphoma including age, symptoms, histology, disease stage, treatment received and lymphoma status at the time of lung cancer diagnosis, and data on lung carcinoma as age, smoking history, latency from lymphoma, symptoms, histology, disease stage, treatment received, and survival were evaluated to identify the significant prognostic factors for overall survival.
RESULTS: Our study population included 164 patients, 145 of which underwent lung cancer resection. The median overall survival was 63 (range, 58-85) months, and the 5-year survival rate 54%. At univariable analysis no-active lymphoma (HR: 2.19; P=0.0152); early lymphoma stage (HR: 1.95; P=0.01); adenocarcinoma histology (HR: 0.59; P=0.0421); early lung cancer stage (HR: 3.18; P<0.0001); incidental diagnosis of lung cancer (HR: 1.71; P<0.0001); and lung cancer resection (HR: 2.79; P<0.0001) were favorable prognostic factors. At multivariable analysis, no-active lymphoma (HR: 2.68; P=0.004); early lung cancer stage (HR: 2.37; P<0.0001); incidental diagnosis of lung cancer (HR: 2.00; P<0.0001); and lung cancer resection (HR: 2.07; P<0.0001) remained favorable prognostic factors. Patients with non-active lymphoma (n=146) versus those with active lymphoma (n=18) at lung cancer diagnosis presented better median survival (64 vs. 37 months; HR: 2.4; P=0.02), but median lung cancer specific survival showed no significant difference (27 vs. 19 months; HR: 0.3; P=0.17).
CONCLUSIONS: The presence and/or a history of lymphoma should not be a contraindication to resection of lung cancer. Inclusion of lymphoma survivors in a lung cancer-screening program may lead to early detection of lung cancer, and improve the survival. 2020 Translational Lung Cancer Research. All rights reserved.

Entities:  

Keywords:  Lymphoma; lung cancer; second primary tumor

Year:  2020        PMID: 32206557      PMCID: PMC7082280          DOI: 10.21037/tlcr.2019.12.28

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


Introduction

Developments in modern chemotherapy and radiotherapy have increased the survival rate of lymphoma patients. The cure rate for patients with early stage Hodgkin lymphoma (HL) is generally ≥90%, and the 5-year survival rate (5-YSR) for patients with non-HL ranges from 26% to 73%, depending on the stage and the aggressiveness of the disease (1). However, lymphoma survivors develop second primary malignancies with a higher rate than people of the same age, and sex in the general population (2). Established risk factors for lung cancer include radiotherapy, and alkylating-agent chemotherapy as well as smoking (3,4). During prolonged follow-up after initial treatment of lymphoma, the mortality of lung cancer overcomes that of lymphoma, and it represents the main cause of death in lymphoma survivors (5). Nevertheless, only few studies (1,6-8) have evaluated the outcome of lymphoma survivors who developed lung cancer as second primary malignancy. Thus, it is still unclear whether standard treatment options for lung cancer are limited or not by lymphoma. In this study, we evaluated the outcome and prognostic factors of Lung Cancer in Lymphoma Survivors (the LuCiLyS study) in order to improve the patient selection for lung cancer treatment.

Methods

Study design

This is a retrospective multicenter study. Consecutive patients who developed non-small cell lung cancer (NSCLC) as second primary cancer after lymphoma diagnosis, were identified from data base or medical records of each participating institution. A minimum latency of 2 months between lymphoma and diagnosis of NSCLC was required, which is the standard latency generally adopted to exclude synchronous primary cancers (6-8). We excluded from the analysis: (I) patients with a different histological diagnosis from NSCLC (i.e., neuroendocrine, carcinoid, small cell carcinoma, oat cell carcinoma, sarcoma, and mesothelioma histology) as the natural history, as treatment, and/or outcome of these histologic subtypes differ from those of NSCLC; (II) patients with simultaneous diagnosis of lung carcinoma and lymphoma; (III) patients diagnosed with an additional second malignancy before and after their diagnosis of NSCLC, as it was difficult to understand whether previous lymphoma or second malignancy affected lung cancer outcome; (IV) patients with incomplete follow-up. The end-points of the paper were to evaluate post-operative morbidity and mortality of lung cancer resection and prognostic risk factors of overall survival. The study design was approved by Local Ethics Committees of University of Campania Luigi Vanvitelli (approvation code: 228/19), coordinating center of the study, and then approved by each participating center. All patients gave a written informed consent for the surgical treatment and were aware that all information could be used anonymously for scientific purpose only.

Data abstraction

The following data were recorded for each patient: gender, smoking history, age at diagnosis of lymphoma and at diagnosis of NSCLC, stage, and histology of lymphoma; treatment given for lymphoma including radiotherapy, chemotherapy or combined radio-chemotherapy, histology and stage of NSCLC re-classified based on the latest, 8th edition of TNM staging system, treatments given for lung carcinoma including surgery, chemotherapy, radiotherapy or combined chemo-radiotherapy. For patients undergoing lung cancer resection, we also evaluated the type of resection and post-operative morbidity and mortality. Operative mortality was defined as any death within 30 days of operation or prior to discharge.

Survival

End points of the analysis included overall survival, and lung cancer specific survival. Overall survival was measured from the date of surgery until death. Patients without events were censored at the time of last follow up. Lung cancer specific survival was calculated from the date of surgery until death due to lung cancer.

Statistical analysis

Data were reported as mean ± standard deviation (SD), or median and interquartile range for continuous variables or as number and percentages for categorical variables. The chi-square test and Fisher’s exact test were performed to evaluate significant differences of proportions or percentages between two groups. Particularly Fisher’s exact test was used where the chi-square test was not appropriate. Significant difference between two means was evaluated with Student’s t-test. Survival curves were calculated by the Kaplan-Meier method, and differences assessed by log-rank test. Univariate analysis was performed and the hazard ratio (HR) with confidence interval at 95% were evaluated to compare two conditions or states, in this way we identified the prognostic factors influencing the overall survival. The variables reaching statistically significant difference entered into a multivariate regression analysis with forward selection and backward elimination, using death as endpoint (dependent variable). A P<0.05 was considered statistically significant. We used MedCalc statistical software (Version 12.3, Broekstraat 52; 9030 Mariakerke; Belgium) for all statistical analyses

Results

One hundred and seventy-nine patients with lung cancer diagnosis and a history of lymphoma were retrospectively identified; of these, 15 patients were excluded due to a different histological diagnosis from NSCLC (n=7), presence of additional second malignancy before diagnosis of NSCLC (n=3), or incomplete follow-up (n=5). Thus, our study population included 164 patients.

Lymphoma data

Data are summarized in . The mean age at lymphoma diagnosis was 49±15 years. The majority of patients were male (n=123/164; 75%) and smokers (n=155/164; 95%), presented no lymphoma B symptoms (n=84/164; 51%), and had stage I (n=63/164; 38%) disease. The most common type of lymphoma was NHD (n=143/164; 87%), and follicular cell lymphoma was the most represented histological subtype (n=69/143; 48%). If considering lymphoma treatment, 74 (45%) patients received radiotherapy (RT), 54 (33%) chemotherapy (CT), 27 (16%) CT associated with RT, and 9 (5%) patients a combined treatment with RT, CT and surgery including splenectomy (n=6), gastrectomy (n=1), or intestinal resection (n=1).
Table 1

Characteristics of lymphoma (n=164)

VariablesNumber [%]
Gender (male/female)123 [75]/41 [25]
Smokers130 [79]/34 [21]
Age at lymphoma diagnosis (years)49±15
   ≤2926 [16]
   30–3939 [24]
   40–4971 [43]
   ≥5028 [17]
Lymphoma B symptoms
   No84 [51]
   Yes45 [27]
   Unknown35 [22]
Lymphoma stage
   I63 [38]
   II46 [28]
   III39 [24]
   IV16 [10]
Lymphoma classification
   Hodgkin disease21 [13]
   Non-Hodgkin disease143 [87]
      Follicular cell lymphoma69 [42]
      Diffuse large B-cell lymphoma44 [27]
      T-cell lymphoma2 [1]
      Mantle cell lymphoma10 [6]
      MALT lymphoma14 [9]
      Burkitt lymphoma4 [2]
Treatment of lymphoma
   RT alone74 [45]
   CT alone54 [33]
   RT + CT27 [16]
   RT + CT + surgery9 [5]

CT, chemotherapy; RT, radiotherapy; MALT, mucosa-associated lymphoid tissue.

CT, chemotherapy; RT, radiotherapy; MALT, mucosa-associated lymphoid tissue.

Lung cancer data

Data are summarized in . The mean age at lung cancer diagnosis was 57±9.7 years, and most patients were smokers (142/164; 87%). The mean latency between diagnosis of lymphoma and that of lung cancer was 8.8±2.1 years, with 79% of patients who developed lung cancer >5 years following lymphoma diagnosis (peak of incidence between 5 and 10 years: 55%). In most cases (n=134; 82%) patients were asymptomatic, and the lung cancer detection was made incidentally on chest X-RAY or chest computed tomography scan performed during lymphoma follow-up, lung cancer screening program, and preoperative screening for other surgical procedures (i.e., inguinal hernia, cataract etc.). The 30 (18%) remaining patients presented with signs and symptoms related to lung cancer. The most common histological types of lung cancer were adenocarcinoma (n=110/164; 67%). One hundred and six (65%) patients presented stage I, 29 (18%) stage II, 18 (11%) stage III, and 11 (7%) stage IV disease. Lung cancer resection was performed in 145 patients out of 164 (88%) including lobectomy (n=114; 79%), sublobar resection (n=21; 14%), bilobectomy (n=7; 5%); and pneumonectomy (n=3; 2%) followed by adjuvant chemotherapy and/or RT, if indicated. The remaining 19 (12%) patients underwent CT and/or RT due to the advanced stage of the tumor or unfit clinical condition.
Table 2

Characteristics of lung cancer (n=164)

VariablesTotal population (n=164)Active lymphoma (n=18)No active lymphoma (n=146)P value
Age at lung cancer diagnosis57±9.755±9.757±8.30.63
   ≤59 years68 [41]7 [39]61 [42]0.77
   60 to 69 years65 [40]9 [50]56 [38]0.37
   ≥70 years31 [19]2 [11]29 [20]0.76
Latency between lymphoma and lung cancer diagnosis8.8±2.18.3±3.18.8±4.10.67
   ≤5 years34 [21]2 [11]32 [22]0.6
   >5 to 10 years90 [55]10 [56]80 [55]0.99
   >10 to 15 years30 [18]4 [22]26 [18]0.7
   >15 years10 [6]2 [11]8 [5]0.43
Pre-operative morbidity81 [49]7 [39]74 [51]0.31
   COPD19 [12]2 [11]17 [11.6]
   Cardiac disease20 [12]2 [11]18 [12.3]
   Vascular disease10 [6]1 [6]9 [6]
   Diabetes15 [9]1 [6]14 [10]
   Renal failure3 [2]3 [2]
   Others14 [9]1 [6]13 [9]
Symptoms at time of lung cancer diagnosis
   No symptoms134 [82]15 [83]119 [82]0.9
   Symptoms*30 [18]3 [17]27 [18]0.79
      Cough9 [5]3 [2]6 [4]
      Pneumothorax1 [0.6]1 [0.6]
      Hemoptysis5 [3]5 [3]
      Pleural effusion3 [2]3 [2]
      Chest pain10 [6]1 [6]10 [7]
      Dyspnea13 [8]1 [6]13 [9]
      Pneumonia2 [1]2 [1]
Histology of lung cancer
   Adenocarcinoma110 [67]11 [61]99 [68]0.52
   Squamous cell carcinoma42 [26]5 [28]37 [25]0.87
   Large cell carcinoma12 [7]2 [11]10 [7]0.59
Stage disease (8th edition)
   IA140 [24]5 [28]35 [24]0.77
   IA229 [18]2 [11]27 [18]0.4
   IA321 [13]2 [11]19 [13]0.76
   IB16 [10]1 [6]15 [10]0.47
   IIA6 [3]2 [11]4 [3]0.07
   IIB23 [14]3 [17]20 [14]0.79
   IIIA15 [9]2 [11]13 [9]0.83
   IIIB3 [2]03 [2]0.54
   IV11 [7]1 [6]10 [7]0.83
Treatment of lung cancer
   Surgical resection145 [88]15 [83]130 [89]0.41
      Lobectomy114 [78]12 [80]102 [70]0.68
      Wedge resection10 [7]1 [1]9 [6]0.83
      Segmentectomy11 [8]1 [1]10 [7]0.76
      Bilobectomy7 [5]1 [1]6 [4]0.88
      Pneumonectomy3 [2]03 [2]0.54
   No resection19 [22]3 [17]16 [11]0.54

*, some patients presented more than one symptom.

*, some patients presented more than one symptom.

Post-operative morbidity and mortality, long-term follow-up

Data are summarized in . Twenty-three out of 145 patients (16%) patients presented post-operative complications including air-leaks (n=10), atelectasis needing bronchoscopic aspiration (n=8), atrial fibrillation (n=4), and infection of surgical site (n=1). One patient (0.6%) died 25 days after pneumonectomy for acute respiratory distress syndrome (ARDS).
Table 3

Post-operative morbidity, post-operative mortality, cause of death

VariablesTotal population (n=164)Active lymphoma (n=18)No active lymphoma (n=146)P value
Post-operative morbidity23 [14]2 [11]21 [14]0.12
   Air leaks10 [6]1 [6]9 [6]
   Atelectasis8 [5]1 [6]7 [5]
   Atrial fibrillation4 [3]4 [3]
   Infection of surgical site1 [1]1 [1]
Post-operative mortality1 [1]1 [0.7]0.72
Cause of death68 [41]11 [61]57 [39]0.08
   Recurrence or metastasis lung cancer31 [19]3 [17]28 [19]0.74
   Recurrence or metastasis lymphoma12 [7]4 [22]8 [5.5]0.01
   Other medical conditions25 [15]4 [22]21 [14]0.43
      Myocardial ischemia13 [8]2 [11]11 [8]
      Respiratory failure7 [4]1 [6]6 [4]
      Cerebral Ictus5 [3]1 [6]4 [3]
During the follow-up, 68 (41%) patients died due to recurrence or metastasis from lung cancer (n=31; 20%) or lymphoma (n=12; 7.3%), Acute Myocardial Infarction (n=13; 8%), respiratory failure (n=7; 4%); and cerebrovascular accident (n=5; 3%).

Lymphoma status

At the time of lung cancer diagnosis, 146 (89%) out of 164 patients were in complete clinical remission, while the remaining 18 (11%) patients presented active lymphoma. As summarized in , the comparison of active lymphoma versus non active lymphoma group showed no significant difference regarding the different lung cancer variables: age at lung cancer diagnosis (55±9.7 vs. 57±8.3 years; P=0.63), latency between lymphoma and lung cancer diagnosis (8.3±3.1 vs. 8.8±4.1 years; P=0.67); incidental diagnosis (83% vs. 72%; P=0.90); pre-operative morbidity (38% vs. 51%, P=0.31), histology and stage disease, lung cancer resection (83% vs. 89%; P=0.41); post-operative morbidity (11% vs. 14%; P=0.12) and post-operative mortality (0 vs. 0.6%; P=0.72). “Active lymphoma” had a higher rate of death due to lymphoma recurrence or metastasis than that of “no active” lymphoma group (22% vs. 5.4%, P=0.01). The median overall survival after the diagnosis of lung cancer was 63 (range, 58–85) months, and the 5-YSR was 54% ().
Figure 1

The median overall survival after diagnosis of lung cancer was 63 (range, 58–85) months.

The median overall survival after diagnosis of lung cancer was 63 (range, 58–85) months.

Lymphoma characteristics

Median overall survival of patients with age ≤29; 30–39; 40–49; ≥50 years was 63 (range, 16–73); 59 (range, 24–64); 67 (range, 60–85); 42 (range, 28–72); 63 (range, 59–85) months, respectively. No significant difference was found among patient groups stratified according to age at lymphoma diagnosis (P=0.20; ). Survival of HL patients compared to that of NHL patients showed no significant difference [67 (range, 24–85) vs. 61 (range, 51–85) months; HR: 1.1 (0.59–2.42); P=0.65]; among NHL patients the comparison of survival among patient groups stratified according to different histology also showed no significant difference (P=0.11, ). The overall survival for patients with stage I; stage II; stage III; and stage IV lymphoma were 67 (range, 61–75); 72 (range, 59–85); 45 (range, 19–48); 51 (range, 14–59) months, respectively; no significant difference was found among patient groups stratified according to lymphoma stage (P=0.08; ). The overall survival for patients undergoing radiotherapy (RT); chemotherapy (CT); RT plus CT; RT + CT + surgery were: 60 (range, 41–85); 61 (range, 41–85); 72 (range, 51–75); 61 (range, 11–76) months, respectively. No significant difference was found among patient groups stratified according to lymphoma treatment (P=0.56; ).
Figure 2

No significant difference was found among patients groups stratified according to age at lymphoma diagnosis (P=0.20; Part A); Non-Hodgkin lymphoma histology (P=0.11, Part B); lymphoma stage (P=0.08; Part C); and lymphoma treatment (P=0.56; Part D).

No significant difference was found among patients groups stratified according to age at lymphoma diagnosis (P=0.20; Part A); Non-Hodgkin lymphoma histology (P=0.11, Part B); lymphoma stage (P=0.08; Part C); and lymphoma treatment (P=0.56; Part D).

Lung cancer characteristics

The median overall survival for patients with age ≤59; 60–69; and ≥70 years was: 63 (range, 18–73); 67 (range, 59–85); and 60 (range, 40–85) months, respectively; and no significant difference was found among patients stratified according to age at lung cancer diagnosis (P=0.17; ). The median overall survival for patients with latency between lymphoma and lung cancer diagnosis ≤5; >5 to 10; >10 to 15; and >15 years was: 48 (range, 28–75); 67 (range, 59–85); 61 (range, 12–63), 48 (range, 13–79) respectively; no significant difference was found among patients stratified according to different latency (P=0.07; ). Patients whose lung tumors were detected incidentally had a significantly better survival than that of symptomatic patients [67 (range, 63–85) vs. 28 (range, 18–45) months; HR: 5.3 (2.76 to 10.3); P<0.0001]. The overall survival for patients with stage I; stage II; stage III; and stage IV disease was: 76 (range, 64–85); 48 (range, 20–75); 21 (range, 13–41); 11 (range, 7–17) months, respectively. Significant difference was found by the comparison of patients stratified according to different stage disease (P<0.0001; ). The overall survival for patients with adenocarcinoma, squamous cell carcinoma, and large cell carcinoma was: 61 (range, 50–81); 51 (range, 25–61); 43 (range, 20–59) months, respectively; no significant difference was found comparing patients stratified according to different histology (P=0.11). Patients undergoing lung cancer resection had better survival compared to that of non-surgical patients [64 (range, 60–85) vs. 14 (range, 11–18) months; HR: 1.7 (2.8–4.7); P<0.0001]. No significant difference was found among patients stratified according to the different type of resections (P=0.23; ).
Figure 3

No significant difference was found among patients stratified according to age at lung cancer diagnosis (P=0.17; Part A); latency between lymphoma and lung cancer diagnosis (P=0.07; Part B); and different type of resections (P=0.23; Part D), while significant difference was found among patients stratified according to lung cancer stage (P<0.0001; Part C).

No significant difference was found among patients stratified according to age at lung cancer diagnosis (P=0.17; Part A); latency between lymphoma and lung cancer diagnosis (P=0.07; Part B); and different type of resections (P=0.23; Part D), while significant difference was found among patients stratified according to lung cancer stage (P<0.0001; Part C).

Lymphoma status

Patients with lymphoma in remission presented a significantly better overall survival than those with active lymphoma [64 (range, 59–85) vs. 37 (range, 13–75) months; HR: 2.4 (1.09–5.49); P=0.02; ]. The comparison of lung cancer specific survival showed no significant difference between no active lymphoma and active lymphoma patients [27 (range, 18–85) vs. 19 (range, 13–37) months; HR: 0.3 (0.05–1.70); P=0.17; ].
Figure 4

Patients with lymphoma in remission compared with those with active lymphoma presented significant better survival [64 (range, 59–85) vs. 37 (range, 13–75) months; HR: 2.4; P=0.02; Part A], but lung cancer specific survival showed no significant difference [27 (range, 18–85) vs. 19 (range, 13–37) months; HR: 0.3; P=0.17; Part B].

Patients with lymphoma in remission compared with those with active lymphoma presented significant better survival [64 (range, 59–85) vs. 37 (range, 13–75) months; HR: 2.4; P=0.02; Part A], but lung cancer specific survival showed no significant difference [27 (range, 18–85) vs. 19 (range, 13–37) months; HR: 0.3; P=0.17; Part B].

Univariable and multivariable analysis for overall survival

Data are summarized in . At univariable analysis no-active lymphoma (HR: 2.19; P=0.0152); early lymphoma stage (HR: 1.95; P=0.01); adenocarcinoma histology (HR: 0.59; P=0.0421); early stage of lung cancer (HR: 3.18; P<0.0001); incidental diagnosis of lung cancer (HR: 1.71; P<0.0001); and lung cancer resection (HR: 2.79; P<0.0001) were favorable prognostic factors. At multivariable analysis, no-active lymphoma (HR: 2.68; P=0.0043); early stage of lung cancer (HR: 2.37; P<0.0001); incidental diagnosis of lung cancer (HR: 2.00; P<0.0001); and lung cancer resection (HR: 2.07; P<0.0001) were confirmed to be favorable prognostic factors.
Table 4

Univariable and Multivariable analysis (dependent variable: overall survival)

CovariatesUnivariableMultivariable
CoefficientHR95% CIP valueCoefficientHR95% CIP value
Sex (male vs. female)0.421.520.81–2.840.19
No active lymphoma (yes vs. not)0.792.191.16–4.140.01521.002.681.36–5.260.0043
Age at Lymphoma diagnosis (≤39 vs. ≥40 years)−0.030.970.74–1.290.85
Type of lymphoma (HL vs. NHL)0.560.340.63–1.690.76
Stage of lymphoma (stage I–II vs. stage III–IV)1.591.951.68–2.030.010.670.980.97–2.960.78
Treatment of lymphoma (RT alone vs. others)−0.190.830.63–1.090.18
Age at NSCLC diagnosis (≤59 vs. ≥60 years)0.211.240.87–1.760.24
Incidental diagnosis of lung cancer (yes vs. not)0.541.711.41–2.08<0.00010.692.001.48–2.70<0.0001
Histology of NSCLC (adenocarcinoma vs. others)−0.520.590.36–0.980.04210.191.200.67–2.150.53
NSCLC stage (stage I–II vs. stage III–IV)1.163.182.28–4.24<0.00010.862.371.60–3.51<0.0001
Lung cancer resection (yes vs. not)−2.452.792.98–3.65<0.00010.862.071.51–2.75<0.0001

HL, Hodgkin lymphoma; NHL, non-Hodgkin lymphoma; RT, radiotherapy; NSCLC, non-small cell lung cancer.

HL, Hodgkin lymphoma; NHL, non-Hodgkin lymphoma; RT, radiotherapy; NSCLC, non-small cell lung cancer.

Discussion

The increased risk of lung cancer among lymphoma survivors has been well described in several papers and meta-analyses (2-6), but limited information exists about the prognosis and treatment outcome of lung cancer. Milano et al. (7,8) and Kim et al. (9) evaluated survival of lymphoma patients who developed NSCLC, and matched them with non-lymphoma patients with de novo NSCLC. Both authors (7-9) found that lymphoma patients faced worse survival than did non-lymphoma patients. These findings supported the hypothesis that previous lymphoma adversely affect the survival and outcome of lung cancer treatment, but it is still unclear which lymphoma survivors with lung cancer could benefit from lung cancer resection. To investigate this issue, we evaluated the outcome and prognostic factors of lung cancer in lymphoma survivors in order to improve the patient selection for lung cancer treatment First, we found that the safety of surgery was not impacted by lymphoma, as the latter disease did not significantly increase post-operative morbidity and mortality rate. Twenty-three (16%) patients presented post-operative complications including air-leaks (7%), atelectasis needing bronchoscopic aspiration (5%), atrial fibrillation (3%), and infection of surgical site (1%) while only one patient (0.6%) died of ARDS 25 days after pneumonectomy. These complications seemed to be correlated to the underlying patient’s diseases as chronic obstructive pulmonary disease (COPD), diabetes, cardiac disease, and extent of lung resection rather than to previous lymphoma. Furthermore, no patients presented pneumonia that was the most common complication reported by other authors (10,11) in lymphoma survivors undergoing lung cancer resection, most likely due to the lymphoma related immunodeficiency. In line with our data, Kim et al. (9) found no significant difference in postoperative morbidity and mortality between lymphoma patients and no-lymphoma patients after lung cancer resection. However, the authors (9) reported a mortality rate of 6% that was three times higher after standard lobectomy compared to matched no-lymphoma lung cancer patients. Therefore, these patients need more aggressive postoperative monitoring, especially in case of comorbid condition and extended resection such as pneumonectomy. Second, we observed in our series a median overall survival of 63 months (mean, 54.8±2.5 months) that was better than what reported by other authors. Schoenfeld et al. (1) showed a median survival time of 10.3 months even because two thirds of the patients (67%) presented an advanced stage disease, (stage III or stage IV). Laurie et al. (12) reported a median survival of 5.1 months, and no patient lived longer than 10.5 months. Complete resection was achieved in 5 cases and only 2 of which (25%) presented stage I disease. The remaining 14 patients did not undergo a complete resection, and showed a median survival of 3.0 months. De Giacomo et al. (11) reported a 5-YSR of 20% and only 40% of patients had an early stage lung cancer. Das et al. (13) found a median survival of 9 months. Most patients (85%) presented at advanced disease stage (III or stage IV), and 40% underwent surgery. Yet, some patients presented different histology from NSCLC (i.e., small-cell lung cancer and mesothelioma). Riquet et al. (14) reported a 5-YSR of 38.1% (median 34 months), and 5 of 36 (14%) patients had pN2 disease. Thus, the higher percentage of patients with stage I lung cancer, as well as the higher rate of patients undergoing surgery, and the exclusion of those with different histology from NSCLC could explain our different results. This is further confirmed by Kim et al. (9) who reported a median overall survival duration of 53 months. All patients underwent surgery, and 70% presented Stage I disease. Third, we found that early lung cancer stage, no-active lymphoma status at the time of lung cancer diagnosis, lung cancer resection, and incidental diagnosis of lung cancer were favorable predictors for overall survival. Incidental diagnosis of lung cancer allowed to make diagnosis of cancer at an early stage with the possibility of surgical treatment. Similarly, in Schoenfeld’s series (1) the subgroup of HL patients (n=12) with subsequent incidentally diagnosed lung malignancy presented a significant longer survival time (median 48 months after initial diagnosis) than that of patients who presented with symptomatic lung disease. Surgery was the only therapeutic chance for these patients, because definitive thoracic radiotherapy would be precluded in most patients by prior mantle-field radiation therapy. This observation was also confirmed by Laurie et al. (12) who found that only patients who underwent complete resection of their lung carcinoma were long-term survivors. Active lymphoma adversely affected overall survival, but no significant difference was found in lung cancer specific survival between active lymphoma and no active lymphoma patients. These results may be explained since patients with active lymphoma died of lymphoma recurrence or metastasis in a significantly higher rate than patients with no-active lymphoma (P=0.01), while the mortality rate due to lung cancer recurrence or metastasis was similar between the two sub-groups (P=0.74). Our data were also confirmed by Kim et al. (9) who found no significant difference regarding lung cancer specific survival between active lymphoma patients and no-active lymphoma patients, despite active lymphoma, also in our series, was shown to be an adverse significant prognostic factor at multivariable analysis. Thus, patients with active lymphoma could achieve reasonable survival after lung cancer resection, but they should be carefully selected for surgery (i.e., early stage lung cancer, treatable NHL, and adequate cardio-respiratory function). Differently from other authors (7-9), we found that previous radiotherapy for lymphoma, different histological types of lymphoma, and older age did not significantly affect the overall survival. Milano et al. (7,8) found that different histology sub-types and radiotherapy for lymphoma significantly influenced survival. However, the authors (7,8) evaluated only patients with HL, and in their series previous RT for lymphoma significantly limited the possibility of radiotherapy treatment for NSCLC. Conversely, in our series including patients with NH and NHL, RT for lymphoma did not have a significant impact on survival, as only one of the 10 patients scheduled for RT did not receive full dose radiation due to previous irradiation for lymphoma. Kim et al. (9) found that older age was an adverse prognostic factor in patients with lymphoma and lung cancer. In our series, 22 of 31 patients (71%) older than 70 years had an early stage tumor, probably because they were more likely to undergo diagnostic workups for related symptoms than younger patients. This was also observed in Milano’s studies (7,8). Fifteen of these patients (72%) underwent lung cancer resection, and in 11 (73%) cases a sublobar resection rather than a more extended resection was carried out. This strategy allowed to reduce the risk of post-operative morbidity, without significantly affecting the oncological results (15,16). Fourth, the increased survival found in our patients with incidentally diagnosed lung cancer supported the usefulness of lung cancer screening in lymphoma survivors. The National Lung Screening Trial (NLST) found that CT screening reduced lung cancer deaths of 20% in high risk population (17). Based on these data, the National Comprehensive Cancer Network (NCCN) categorized patients with prior lymphoma as a high-risk group only if they are more than 50 years old and have a smoking history (18). It was recommended that those patients should have annual low-dose helical CT scan for 2 years (category 1) and should be considered for an annual screening if they are clinically fit for definitive treatment. However, Ibrahim et al. (4) in a recent meta-analysis supported these recommendations should be reconsidered for several reasons. The NLST study (17) did not include patients with prior lymphoma, and only 0.1% of patients were younger than 55 years of age. Moreover, the median age at the diagnosis of second lung cancer in Ibrahim et al. (4) meta-analysis was 45.0 years, and the rate of developing second lung cancer remained high after 15 years of follow-up. Our results seemed to confirm this hypothesis as the incidence of lung cancer reached its peak at 5–10 years following primary lymphoma treatment (55%), and remained elevated after 10 years of follow-up (24%). Thus, we also support the need for continued follow-up of these patients, also considering that screening for breast cancers in young women treated for HL has been recommended to start ~8 to 10 years after HL treatment (19). Therefore, we believe that lymphoma survivors should receive a closer follow-up than the general population. Following treatment of lymphoma, survivors tend to switch to health-care providers and often lose contact with their oncologists. Thus, it is essential that all physicians should promote appropriate investigations to screen second carcinomas, especially primary lung carcinomas in smokers and former smokers, keeping in mind that latency time to the development of further malignancies could be long. Smoking cessation and abstinence are likely to have the greatest impact on reducing the mortality from lung carcinoma in this population. Ibrahim’s meta-analysis (1) showed that approximately 80% of patients with second lung cancer had a history of smoking, and these data are in line with ours and many reported series. Travis et al. (20) showed that in 24% of lymphoma survivors, incidence of second lung cancer could be attributable to smoking alone, while other studies (21,22) found that the risk of developing second lung cancer was positively associated with increasing number of pack-years smoked.

Study limitations

Our study presents several limitations that do not allow to draw definitive conclusions. Due to the retrospective and the multicenter nature of the study, there was not a standardized treatment for lymphoma (i.e., different protocol and regimen of chemotherapy and radiotherapy) and for NSCLC (i.e., different type of resection), but the treatment depended on the era of diagnosis, and the choice of physicians in the treating center. In some cases, there was a lack of detailed information about the site of radiotherapy and/or tobacco history (i.e., number of pack-year), while other variables as weight loss and performance status were not considered.

Conclusions

The history of lymphoma or an active lymphoma should not be considered a contraindication to surgical treatment of lung cancer in selected patients who present with early stage lung cancer and are clinically fit for surgery. The increased survival observed in patients with an incidentally diagnosed lung cancer supports the usefulness of lung cancer screening in lymphoma survivors to detect lung cancer at an early stage. Due to the limitations of a retrospective analysis, our results should be furtherly validated by a prospective randomized study.
  22 in total

1.  Morbidity and mortality in long-term survivors of Hodgkin lymphoma: a report from the Childhood Cancer Survivor Study.

Authors:  Sharon M Castellino; Ann M Geiger; Ann C Mertens; Wendy M Leisenring; Janet A Tooze; Pam Goodman; Marilyn Stovall; Leslie L Robison; Melissa M Hudson
Journal:  Blood       Date:  2010-10-29       Impact factor: 22.113

2.  Clinical course of thoracic cancers in Hodgkin's disease survivors.

Authors:  P Das; A K Ng; M A Stevenson; P M Mauch
Journal:  Ann Oncol       Date:  2005-03-31       Impact factor: 32.976

3.  Long-term survival among patients with Hodgkin's lymphoma who developed breast cancer: a population-based study.

Authors:  Michael T Milano; Huilin Li; Mitchell H Gail; Louis S Constine; Lois B Travis
Journal:  J Clin Oncol       Date:  2010-10-25       Impact factor: 44.544

4.  Lung cancer after treatment for non-Hodgkin lymphoma.

Authors:  T De Giacomo; M Martelli; F Venuta; M Anile; D Diso; M Di Stasio; E A Rendina; G F Coloni
Journal:  Minerva Chir       Date:  2006-12       Impact factor: 1.000

5.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

6.  Long-term survival and competing causes of death in patients with early-stage Hodgkin's disease treated at age 50 or younger.

Authors:  Andrea K Ng; M Patricia Bernardo; Edie Weller; Kendall H Backstrand; Barbara Silver; Karen C Marcus; Nancy J Tarbell; Jonathan Friedberg; George P Canellos; Peter M Mauch
Journal:  J Clin Oncol       Date:  2002-04-15       Impact factor: 44.544

7.  Non-small cell lung cancer resection in lymphoma patients.

Authors:  Min P Kim; Arlene M Correa; Stephen G Swisher; Wayne L Hofstetter; Reza J Mehran; David C Rice; Garrett L Walsh; Jeremy Erasmus; Cesar Moran; Ara A Vaporciyan; Jack A Roth
Journal:  Ann Thorac Surg       Date:  2010-07       Impact factor: 4.330

8.  Hodgkin's disease: correlation between causes of death at autopsy and clinical diagnosis.

Authors:  M Provencio; P España; C Salas; F Navarro; F Bonilla
Journal:  Ann Oncol       Date:  2000-01       Impact factor: 32.976

9.  Lung cancer following chemotherapy and radiotherapy for Hodgkin's disease.

Authors:  Lois B Travis; Mary Gospodarowicz; Rochelle E Curtis; E Aileen Clarke; Michael Andersson; Bengt Glimelius; Timo Joensuu; Charles F Lynch; Flora E van Leeuwen; Eric Holowaty; Hans Storm; Ingrid Glimelius; Eero Pukkala; Marilyn Stovall; Joseph F Fraumeni; John D Boice; Ethel Gilbert
Journal:  J Natl Cancer Inst       Date:  2002-02-06       Impact factor: 13.506

10.  Second primary malignancies after treatment for malignant lymphoma.

Authors:  A Okines; C S Thomson; C R Radstone; J M Horsman; B W Hancock
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

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  8 in total

Review 1.  Update in Diagnosis and Management of Primary Cutaneous B-Cell Lymphomas.

Authors:  Amanda Krenitsky; Skylar Klager; Leigh Hatch; Carlos Sarriera-Lazaro; Pei Ling Chen; Lucia Seminario-Vidal
Journal:  Am J Clin Dermatol       Date:  2022-07-19       Impact factor: 6.233

2.  Pathological and clinical features of multiple cancers and lung adenocarcinoma: a multicentre study.

Authors:  Pietro Bertoglio; Luigi Ventura; Vittorio Aprile; Maria Angela Cattoni; Dania Nachira; Filippo Lococo; Maria Rodriguez Perez; Francesco Guerrera; Fabrizio Minervini; Letizia Gnetti; Alessandra Lenzini; Francesca Franzi; Giulia Querzoli; Guido Rindi; Salvatore Bellafiore; Federico Femia; Giuseppe Salvatore Bogina; Diana Bacchin; Peter Kestenholz; Enrico Ruffini; Massimiliano Paci; Stefano Margaritora; Andrea Selenito Imperatori; Marco Lucchi; Luca Ampollini; Alberto Claudio Terzi
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-06-15

Review 3.  Primary Cutaneous B-Cell Lymphomas: An Update.

Authors:  Paola Vitiello; Antonello Sica; Andrea Ronchi; Stefano Caccavale; Renato Franco; Giuseppe Argenziano
Journal:  Front Oncol       Date:  2020-05-27       Impact factor: 6.244

4.  All-in-One Spinal Cord Stimulation in Lymphoproliferative Diseases.

Authors:  Antonello Sica; Beniamino Casale; Caterina Sagnelli; Maria Teresa Di Dato; Pietro Buonavolontà; Anna Maria Salzano; Evangelista Sagnelli; Vincenzo Famiglietti; Elisabetta Saracco; Dario Tammaro; Alfonso Papa
Journal:  Front Neurol       Date:  2020-11-13       Impact factor: 4.003

5.  How Fear of COVID-19 Can Affect Treatment Choices for Anaplastic Large Cell Lymphomas ALK+ Therapy: A Case Report.

Authors:  Antonello Sica; Caterina Sagnelli; Beniamino Casale; Gino Svanera; Massimiliano Creta; Armando Calogero; Renato Franco; Evangelista Sagnelli; Andrea Ronchi
Journal:  Healthcare (Basel)       Date:  2021-01-31

6.  Chronic Chest Pain Control after Trans-Thoracic Biopsy in Mediastinal Lymphomas.

Authors:  Antonello Sica; Beniamino Casale; Caterina Sagnelli; Maria Teresa Di Dato; Marco Rispoli; Mario Santagata; Pietro Buonavolontà; Alfonso Fiorelli; Paola Vitiello; Stefano Caccavale; Massimiliano Creta; Anna Maria Salzano; Evangelista Sagnelli; Elisabetta Saracco; Giuseppe Gazzerro; Vincenzo Famiglietti; Dario Tammaro; Alfonso Papa
Journal:  Healthcare (Basel)       Date:  2021-05-18

Review 7.  The impact of the SARS-CoV-2 infection, with special reference to the hematological setting.

Authors:  Antonello Sica; Danilo Casale; Giovanni Rossi; Beniamino Casale; Massimo Ciccozzi; Morena Fasano; Marco Ciotti; Evangelista Sagnelli; Alfonso Papa; Caterina Sagnelli
Journal:  J Med Virol       Date:  2020-07-11       Impact factor: 20.693

8.  Primary Extra-Nodal DLBCL of Glands: Our Experiences outside Guidelines of Treatment.

Authors:  Antonello Sica; Mario Santagata; Caterina Sagnelli; Piero Rambaldi; Renato Franco; Massimiliano Creta; Paola Vitiello; Stefano Caccavale; Vincenzo Tammaro; Evangelista Sagnelli; Andrea Ronchi
Journal:  Healthcare (Basel)       Date:  2021-03-05
  8 in total

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