Platin desensitizations in thoracic malignancies and risk factors for breakthrough reactions.

Although platin desensitization is a safe and effective alternative for patients with hypersensitivity reactions (HSRs), sometimes breakthrough reactions (BTRs) can be encountered. However, data about the risk factors for BTRs are limited. The aim of this study is to define the outcomes of desensitization, the characteristics of BTRs, and to identify the risk factors for BTRs with platins in thoracic malignancies. This is a retrospective report of patients with thoracic malignancies who underwent platin desensitization. Patients' demographics, initial HSR characteristics, skin test results, desensitization outcomes, and BTR characteristics were recorded. Thirty-three lung cancer and 14 malignant pleural mesothelioma (MPM) patients were included in the study. The culprit drug was cisplatin in 29 and was carboplatin in 18 patients. Skin test positivity was 43.5% with cisplatin, 50% with carboplatin, and it was found to be higher if the interval between the initial HSR and skin testing (ST) was ˃20 days (p = 0.027). One hundred and five desensitization courses were performed. Twenty-two patients had 33 BTRs. Skin test positivity was higher in the BTR-positive group (p = 0.025). BTRs (18.2%; n = 6) were more severe than initial HSR. In the case of epinephrine administration during initial HSR, epinephrine administration during the first BTR was found to be more (p = 0.036). The target dose was achieved in 92.4% of desensitization courses. The number of previous platin infusions ≥10 was found to be an independent risk factor for BTR development (p = 0.036 OR:17.641, 95% CI: 1.211-256.971). Identification of risk factors for BTR will guide appropriate management and desensitization approaches for platin HSRs.

Impact of telemedicine adoption on accessibility and time to treatment in patients with thoracic malignancies during the COVID-19 pandemic.

BACKGROUND: To ensure safe delivery of oncologic care during the COVID-19 pandemic, telemedicine has been rapidly adopted. However, little data exist on the impact of telemedicine on quality and accessibility of oncologic care. This study assessed whether conducting an office visit for thoracic oncology patients via telemedicine affected time to treatment initiation and accessibility. METHODS: This was a retrospective cohort study of patients with thoracic malignancies seen by a multidisciplinary team during the first surge of COVID-19 cases in Philadelphia (March 1 to June 30, 2020). Patients with an index visit for a new phase of care, defined as a new diagnosis, local recurrence, or newly discovered metastatic disease, were included. RESULTS: 240 distinct patients with thoracic malignancies were seen: 132 patients (55.0%) were seen initially in-person vs 108 (45.0%) via telemedicine. The majority of visits were for a diagnosis of a new thoracic cancer (87.5%). Among newly diagnosed patients referred to the thoracic oncology team, the median time from referral to initial visit was significantly shorter amongst the patients seen via telemedicine vs. in-person (median 5.0 vs. 6.5 days, p < 0.001). Patients received surgery (32.5%), radiation (24.2%), or systemic therapy (30.4%). Time from initial visit to treatment initiation by modality did not differ by telemedicine vs in-person: surgery (22 vs 16 days, p = 0.47), radiation (27.5 vs 27.5 days, p = 0.86, systemic therapy (15 vs 13 days, p = 0.45). CONCLUSIONS: Rapid adoption of telemedicine allowed timely delivery of oncologic care during the initial surge of the COVID19 pandemic by a thoracic oncology multi-disciplinary clinic.

COVID-19 in patients with thoracic malignancies (TERAVOLT): first results of an international, registry-based, cohort study.

BACKGROUND: Early reports on patients with cancer and COVID-19 have suggested a high mortality rate compared with the general population. Patients with thoracic malignancies are thought to be particularly susceptible to COVID-19 given their older age, smoking habits, and pre-existing cardiopulmonary comorbidities, in addition to cancer treatments. We aimed to study the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on patients with thoracic malignancies. METHODS: The Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry is a multicentre observational study composed of a cross-sectional component and a longitudinal cohort component. Eligibility criteria were the presence of any thoracic cancer (non-small-cell lung cancer [NSCLC], small-cell lung cancer, mesothelioma, thymic epithelial tumours, and other pulmonary neuroendocrine neoplasms) and a COVID-19 diagnosis, either laboratory confirmed with RT-PCR, suspected with symptoms and contacts, or radiologically suspected cases with lung imaging features consistent with COVID-19 pneumonia and symptoms. Patients of any age, sex, histology, or stage were considered eligible, including those in active treatment and clinical follow-up. Clinical data were extracted from medical records of consecutive patients from Jan 1, 2020, and will be collected until the end of pandemic declared by WHO. Data on demographics, oncological history and comorbidities, COVID-19 diagnosis, and course of illness and clinical outcomes were collected. Associations between demographic or clinical characteristics and outcomes were measured with odds ratios (ORs) with 95% CIs using univariable and multivariable logistic regression, with sex, age, smoking status, hypertension, and chronic obstructive pulmonary disease included in multivariable analysis. This is a preliminary analysis of the first 200 patients. The registry continues to accept new sites and patient data. FINDINGS: Between March 26 and April 12, 2020, 200 patients with COVID-19 and thoracic cancers from eight countries were identified and included in the TERAVOLT registry; median age was 68·0 years (61·8-75·0) and the majority had an Eastern Cooperative Oncology Group performance status of 0-1 (142 [72%] of 196 patients), were current or former smokers (159 [81%] of 196), had non-small-cell lung cancer (151 [76%] of 200), and were on therapy at the time of COVID-19 diagnosis (147 [74%] of 199), with 112 (57%) of 197 on first-line treatment. 152 (76%) patients were hospitalised and 66 (33%) died. 13 (10%) of 134 patients who met criteria for ICU admission were admitted to ICU; the remaining 121 were hospitalised, but were not admitted to ICU. Univariable analyses revealed that being older than 65 years (OR 1·88, 95% 1·00-3·62), being a current or former smoker (4·24, 1·70-12·95), receiving treatment with chemotherapy alone (2·54, 1·09-6·11), and the presence of any comorbidities (2·65, 1·09-7·46) were associated with increased risk of death. However, in multivariable analysis, only smoking history (OR 3·18, 95% CI 1·11-9·06) was associated with increased risk of death. INTERPRETATION: With an ongoing global pandemic of COVID-19, our data suggest high mortality and low admission to intensive care in patients with thoracic cancer. Whether mortality could be reduced with treatment in intensive care remains to be determined. With improved cancer therapeutic options, access to intensive care should be discussed in a multidisciplinary setting based on cancer specific mortality and patients' preference. FUNDING: None.

Thoracic recurrence in patients with curatively-resected colorectal cancer: incidence, risk factors, and value of chest CT as a postoperative surveillance tool.

OBJECTIVE: To investigate the incidence of thoracic recurrence and the diagnostic value of chest CT for postoperative surveillance in curatively-resected colorectal cancer (CRC) patients. METHODS: This retrospective study consisted of 648 CRC patients (M:F, 393:255; mean age, 66.2 years) treated with curative surgery between January 2010 and December 2012. The presence of CRC recurrence over follow-ups was analysed and recurrence-free survival and risk factors of recurrence were assessed using Kaplan-Meier analysis with log-rank test and Cox-regression analysis, respectively. RESULTS: Over a median follow-up of 57 months, thoracic recurrence occurred in 8.0% (52/648) of patients with a median recurrence-free survival rate of 19.5 months. Among the 52 patients with thoracic recurrence, 18 (2.7%) had isolated thoracic recurrence, and only five (0.8%) were diagnosed through chest CT. Risk factors of overall thoracic recurrence included age, positive resection margin, presence of venous invasion, positive pathologic N-class, and presence of abdominal recurrence (odds ratio [OR] = 1.78, 19.691, 2.993, 2.502, and 31.137; p = 0.045, 0.004, 0.001, 0.005, and p < 0.001, respectively). As for isolated thoracic recurrence, serum carcinoembryonic antigen level ≥ 5 ng/mL during postoperative follow-up (OR = 9.112; p < 0.001) was demonstrated to be the only predictive factor. There were no thoracic recurrences in patients with CRC stages 0 and I. CONCLUSION: In patients with curatively-resected CRCs, routine surveillance using chest CT may be of limited value, particularly in those with CRC stages 0 or I, as recurrence only detectable through chest CT was shown to be rare. KEY POINTS: • Postoperative thoracic recurrence only detectable through chest CT was shown to be rare. • There were no thoracic recurrences in colorectal cancers stage 0 and I. • Postoperative surveillance chest CT is of limited value in patients with curatively resected colorectal cancers.

I-O Optimise: a novel multinational real-world research platform in thoracic malignancies.

Aim: To describe I-O Optimise, a multinational program providing real-world insights into lung cancer management. Materials & methods: Real-world data source selection for I-O Optimise followed a structured approach focused on population coverage, key variable capture, continuous/consistent data availability, record duration and data latency, and database expertise. Results: As of 31 October 2018, seven real-world data sources were included in I-O Optimise, providing data on characteristics, treatment patterns and clinical outcomes from more than 45,000 patients/year with non-small-cell lung cancer, small-cell lung cancer and mesothelioma across Denmark, Norway, Portugal, Spain, Sweden and the UK. Conclusion: The ongoing I-O Optimise initiative has the potential to provide a broad, robust and dynamic research platform to continually address numerous research objectives in the lung cancer arena.

New CT-based diagnoses of torso cancer is low in the emergency department setting.

PURPOSE: The incidence of new CT-based torso cancer diagnoses and the most commonly diagnosed cancer types in the emergency department (ED) setting are unknown. The purpose of our study was to determine the incidence and types of new CT-based torso cancer diagnoses in the ED. METHODS: A total of 19,496 CT reports including all or parts of the torso from 2017 were searched for the keywords: "mass", "tumor", "neoplasm", "malignancy", or "cancer". Each report and corresponding medical record was evaluated for presence of a new cancer. Cases were scored as no cancer, subcentimeter lung nodule, known cancer, new cancer, or suspicious, but unconfirmed for new cancer. Each mass was characterized as symptom-related or incidental. RESULTS: At least one keyword was found in 2086 reports. Of these 706, 126 and 905 were known cancer cases, subcentimeter lung nodules, and non-cancerous cases, respectively. There were 251 confirmed new cancers and 98 suspicious cases which lacked adequate diagnostic workup. Depending on whether only definite or definite and suspicious cases were included together, the number of new cancer cases per 100 torso CT exams was 1.3 or 1.8, respectively. Gastrointestinal, lung, pancreaticobiliary, urinary, and gynecologic cancers were most common. Only 58 of the confirmed cases (23%) were deemed as incidental findings. CONCLUSION: CT-diagnosis of new torso cancers was uncommon in our setting. Still, while extensive knowledge of cancer staging may not be necessary for ED radiologists, knowledge of the most common types of cancer including gastrointestinal, lung, pancreaticobiliary, urinary, and gynecologic cancers may improve sensitivity for these diagnoses and may expedite appropriate referrals for the newly diagnosed patients.

The study protocol for PREDICT AF RECURRENCE: a PRospEctive cohort stuDy of surveIllanCe for perioperaTive Atrial Fibrillation RECURRENCE in major non-cardiac surgery for malignancy.

BACKGROUND: A previous retrospective cohort study established the relationship between perioperative atrial fibrillation (POAF) and subsequent mortality and stroke. However, the details regarding the cause of death and etiology of stroke remain unclear. METHODS: The prospective cohort study of surveillance for perioperative atrial fibrillation recurrence in major non-cardiac surgery for malignancy (PREDICT AF RECURRENCE) registry is an ongoing prospective cohort study to elucidate the long-term recurrence rate and the clinical impact of new-onset POAF in the setting of head and neck, non-cardiac thoracic, and abdominal surgery for malignancy. In this study, cardiologists collaborate with a surgical team during the perioperative period, carefully observe the electrocardiogram (ECG) monitor, and treat arrhythmia as required. Furthermore, patients who develop new-onset POAF are followed up using a long-term Holter ECG monitor, SPIDER FLASH-t AFib®, to assess POAF recurrence. DISCUSSION: Even if patients with malignancy survive by overcoming the disease, they may die from any preventable cardiovascular diseases. In particular, those with POAF may develop cardiogenic stroke in the future. Because details of the natural history of patients with POAF remain unclear, investigating the need to continue anticoagulation therapy for such patients is necessary. This study will provide essential information on the recurrence rate of POAF and new insights into the prediction and treatment of POAF. TRIAL REGISTRATION: University Hospital Medical Information Network Clinical Trial Registry (UMIN-CTR): UMIN000016146 ; Data of Registration: January 7, 2015.

Digestive toxicities after palliative three-dimensional conformal radiation therapy (3D-CRT) for cervico-thoracic spinal metastases.

OBJECTIVE: The palliative treatment for cervico-thoracic spinal metastases is based on a three-dimensional conformal radiation therapy (3D-CRT). Digestive toxicities are common and cause a clinical impact frequently underestimated in patients. We performed a retrospective study of digestive side effects occurring after palliative 3D-CRT for cervico-thoracic spinal metastases. PATIENTS AND METHODS: All patients receiving palliative 3D-CRT at Jean Bernard Center from January 2013 to December 2014 for spinal metastases between the 5th cervical vertebra (C5) and the 12th thoracic vertebra (T12) were eligible. Three-dimensional conformal RT was delivered by a linear accelerator (CLINAC, Varian). Premedication to prevent digestive toxicities was not used. Adverse events ("esophagitis" and "nausea and/or vomiting") were evaluated according to the NCI-CTCae (version 4). RESULTS: From January 2013 to December 2014, 128 patients met the study criteria. The median age was 68.6 years [31.8; 88.6]. Most patients (84.4%) received 30 Gy in 10 fractions. The median overall time of treatment was 13 days [3-33]. Forty patients (31.3%) suffered from grade ≥ 2 of "esophagitis" (35 grade 2 (27.4%) and 5 grade 3 (3.9%)). Eight patients (6.3%) suffered from grade ≥ 2 of "nausea and/or vomiting" (6 grade 2 (4.7%), 1 grade 3 (0.8%), and 1 grade 4 (0.8%)). CONCLUSION: The high incidence of moderate to severe digestive toxicities after palliative 3D-CRT for cervico-thoracic spinal metastases led to consider static or dynamic intensity-modulated radiation therapy (IMRT) to reduce the dose to organ at risk (the esophagus and stomach). Dosimetric studies and implementation in the clinic should be the next steps.

Changes in pulmonary function and influencing factors after high-dose intrathoracic radio(chemo)therapy.

PURPOSE: Using prospectively collected patient-related, dose-related, and pulmonary function test (PFT) data before radiotherapy (RT) and at several follow-up visits after RT, the time course of PFT changes after high-dose radio(chemo)therapy and influencing factors were analyzed. MATERIALS AND METHODS: From April 2012 to October 2015, 81 patients with non-small-cell lung carcinoma (NSCLC), small cell lung carcinoma (SCLC), or esophageal carcinoma where treated with high-dose radio(chemo)therapy. PFT data were collected before treatment and 6 weeks, 12 weeks, and 6 months after RT. The influence of patient- and treatment-related factors on PFT was analyzed. RESULTS: Mean forced expiratory volume in 1 s (FEV1) constantly declined during follow-up (p = 0.001). In total, 68% of patients had a reduced FEV1 at 6 months. Mean vital capacity (VC) didn't change during follow-up (p > 0.05). Mean total lung capacity (TLC) showed a constant decline after RT (p = 0.026). At 6 months, 60% of patients showed a decline in VC and 73% in TLC. The mean diffusion capacity for carbon monoxide (DLCO) declined at 6 and 12 weeks, but recovered slightly at 6 months (p < 0.0005). At 6 months, 86% of patients had a reduced DLCO. After treatment, the partial pressure of CO2 in the blood (pCO2) was increased and pO2 was decreased (p > 0.05). Only the pretreatment PFT classification had a significant influence on the post-RT FEV1. CONCLUSION: DLCO seems to be the most reliable indicator for lung tissue damage after thoracic RT. Ventilation parameters appear to be less reliable. Concerning patient- or treatment-related factors, no reliable conclusion can be drawn regarding which factors may be relevant.

Patient's quality of life after high-dose radiation therapy for thoracic carcinomas : Changes over time and influence on clinical outcome.

PURPOSE: Quality of life (QoL) is an important factor in patient care. This analysis is focused on QoL before and after radio(chemo)therapy in patients with thoracic carcinomas, as well as on its influence on clinical follow-up and survival, and the correlation with treatment-related toxicities. MATERIALS AND METHODS: The analysis included 81 patients with intrathoracic carcinoma receiving radio(chemo)therapy. For analysis of QoL, the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and the lung cancer-specific supplement (EORTC QLQ-LC13) were used. QoL data were collected before radiation treatment (RT), and 6 weeks, 12 weeks, 6 months, and 12 months after RT. Other factors were additionally analyzed, including clinical outcome, survival, and side effects. RESULTS: The functional scales showed maximum values or at least a recovery 12 weeks after RT. Symptoms with a high mean symptom score (> 40) at all appointments were fatigue, dyspnea, and coughing. Insomnia, peripheral neuropathy, appetite loss, dyspnea (from QLQ-LC13), and all pain parameters had an intermediate mean score (10-40). There were low mean scores of < 10 for nausea and vomiting, diarrhea, sore mouth, and hemoptysis. There was a significant correlation between clinical dysphagia and radiation pneumonitis with the associated symptom scales. None of the QoL scores had a significant influence on local and distant control or survival. CONCLUSION: 12 weeks after RT the QLQ-C30 functional scales show the highest scores or at least a temporary recovery. The symptom scales accurately reflect the common symptoms and treatment-related toxicities. QoL did not prove to be a significant predictor for local and distant control or survival.

Italian cancer figures--Report 2015: The burden of rare cancers in Italy.

OBJECTIVES: This collaborative study, based on data collected by the network of Italian Cancer Registries (AIRTUM), describes the burden of rare cancers in Italy. Estimated number of new rare cancer cases yearly diagnosed (incidence), proportion of patients alive after diagnosis (survival), and estimated number of people still alive after a new cancer diagnosis (prevalence) are provided for about 200 different cancer entities. MATERIALS AND METHODS: Data herein presented were provided by AIRTUM population- based cancer registries (CRs), covering nowadays 52% of the Italian population. This monograph uses the AIRTUM database (January 2015), which includes all malignant cancer cases diagnosed between 1976 and 2010. All cases are coded according to the International Classification of Diseases for Oncology (ICD-O-3). Data underwent standard quality checks (described in the AIRTUM data management protocol) and were checked against rare-cancer specific quality indicators proposed and published by RARECARE and HAEMACARE (www.rarecarenet.eu; www.haemacare.eu). The definition and list of rare cancers proposed by the RARECAREnet "Information Network on Rare Cancers" project were adopted: rare cancers are entities (defined as a combination of topographical and morphological codes of the ICD-O-3) having an incidence rate of less than 6 per 100,000 per year in the European population. This monograph presents 198 rare cancers grouped in 14 major groups. Crude incidence rates were estimated as the number of all new cancers occurring in 2000-2010 divided by the overall population at risk, for males and females (also for gender-specific tumours).The proportion of rare cancers out of the total cancers (rare and common) by site was also calculated. Incidence rates by sex and age are reported. The expected number of new cases in 2015 in Italy was estimated assuming the incidence in Italy to be the same as in the AIRTUM area. One- and 5-year relative survival estimates of cases aged 0-99 years diagnosed between 2000 and 2008 in the AIRTUM database, and followed up to 31 December 2009, were calculated using complete cohort survival analysis. To estimate the observed prevalence in Italy, incidence and follow-up data from 11 CRs for the period 1992-2006 were used, with a prevalence index date of 1 January 2007. Observed prevalence in the general population was disentangled by time prior to the reference date (≤2 years, 2-5 years, ≤15 years). To calculate the complete prevalence proportion at 1 January 2007 in Italy, the 15-year observed prevalence was corrected by the completeness index, in order to account for those cancer survivors diagnosed before the cancer registry activity started. The completeness index by cancer and age was obtained by means of statistical regression models, using incidence and survival data available in the European RARECAREnet data. RESULTS: In total, 339,403 tumours were included in the incidence analysis. The annual incidence rate (IR) of all 198 rare cancers in the period 2000-2010 was 147 per 100,000 per year, corresponding to about 89,000 new diagnoses in Italy each year, accounting for 25% of all cancer. Five cancers, rare at European level, were not rare in Italy because their IR was higher than 6 per 100,000; these tumours were: diffuse large B-cell lymphoma and squamous cell carcinoma of larynx (whose IRs in Italy were 7 per 100,000), multiple myeloma (IR: 8 per 100,000), hepatocellular carcinoma (IR: 9 per 100,000) and carcinoma of thyroid gland (IR: 14 per 100,000). Among the remaining 193 rare cancers, more than two thirds (No. 139) had an annual IR <0.5 per 100,000, accounting for about 7,100 new cancers cases; for 25 cancer types, the IR ranged between 0.5 and 1 per 100,000, accounting for about 10,000 new diagnoses; while for 29 cancer types the IR was between 1 and 6 per 100,000, accounting for about 41,000 new cancer cases. Among all rare cancers diagnosed in Italy, 7% were rare haematological diseases (IR: 41 per 100,000), 18% were solid rare cancers. Among the latter, the rare epithelial tumours of the digestive system were the most common (23%, IR: 26 per 100,000), followed by epithelial tumours of head and neck (17%, IR: 19) and rare cancers of the female genital system (17%, IR: 17), endocrine tumours (13% including thyroid carcinomas and less than 1% with an IR of 0.4 excluding thyroid carcinomas), sarcomas (8%, IR: 9 per 100,000), central nervous system tumours and rare epithelial tumours of the thoracic cavity (5%with an IR equal to 6 and 5 per 100,000, respectively). The remaining (rare male genital tumours, IR: 4 per 100,000; tumours of eye, IR: 0.7 per 100,000; neuroendocrine tumours, IR: 4 per 100,000; embryonal tumours, IR: 0.4 per 100,000; rare skin tumours and malignant melanoma of mucosae, IR: 0.8 per 100,000) each constituted <4% of all solid rare cancers. Patients with rare cancers were on average younger than those with common cancers. Essentially, all childhood cancers were rare, while after age 40 years, the common cancers (breast, prostate, colon, rectum, and lung) became increasingly more frequent. For 254,821 rare cancers diagnosed in 2000-2008, 5-year RS was on average 55%, lower than the corresponding figures for patients with common cancers (68%). RS was lower for rare cancers than for common cancers at 1 year and continued to diverge up to 3 years, while the gap remained constant from 3 to 5 years after diagnosis. For rare and common cancers, survival decreased with increasing age. Five-year RS was similar and high for both rare and common cancers up to 54 years; it decreased with age, especially after 54 years, with the elderly (75+ years) having a 37% and 20% lower survival than those aged 55-64 years for rare and common cancers, respectively. We estimated that about 900,000 people were alive in Italy with a previous diagnosis of a rare cancer in 2010 (prevalence). The highest prevalence was observed for rare haematological diseases (278 per 100,000) and rare tumours of the female genital system (265 per 100,000). Very low prevalence (<10 prt 100,000) was observed for rare epithelial skin cancers, for rare epithelial tumours of the digestive system and rare epithelial tumours of the thoracic cavity. COMMENTS: One in four cancers cases diagnosed in Italy is a rare cancer, in agreement with estimates of 24% calculated in Europe overall. In Italy, the group of all rare cancers combined, include 5 cancer types with an IR>6 per 100,000 in Italy, in particular thyroid cancer (IR: 14 per 100,000).The exclusion of thyroid carcinoma from rare cancers reduces the proportion of them in Italy in 2010 to 22%. Differences in incidence across population can be due to the different distribution of risk factors (whether environmental, lifestyle, occupational, or genetic), heterogeneous diagnostic intensity activity, as well as different diagnostic capacity; moreover heterogeneity in accuracy of registration may determine some minor differences in the account of rare cancers. Rare cancers had worse prognosis than common cancers at 1, 3, and 5 years from diagnosis. Differences between rare and common cancers were small 1 year after diagnosis, but survival for rare cancers declined more markedly thereafter, consistent with the idea that treatments for rare cancers are less effective than those for common cancers. However, differences in stage at diagnosis could not be excluded, as 1- and 3-year RS for rare cancers was lower than the corresponding figures for common cancers. Moreover, rare cancers include many cancer entities with a bad prognosis (5-year RS <50%): cancer of head and neck, oesophagus, small intestine, ovary, brain, biliary tract, liver, pleura, multiple myeloma, acute myeloid and lymphatic leukaemia; in contrast, most common cancer cases are breast, prostate, and colorectal cancers, which have a good prognosis. The high prevalence observed for rare haematological diseases and rare tumours of the female genital system is due to their high incidence (the majority of haematological diseases are rare and gynaecological cancers added up to fairly high incidence rates) and relatively good prognosis. The low prevalence of rare epithelial tumours of the digestive system was due to the low survival rates of the majority of tumours included in this group (oesophagus, stomach, small intestine, pancreas, and liver), regardless of the high incidence rate of rare epithelial cancers of these sites. This AIRTUM study confirms that rare cancers are a major public health problem in Italy and provides quantitative estimations, for the first time in Italy, to a problem long known to exist. This monograph provides detailed epidemiologic indicators for almost 200 rare cancers, the majority of which (72%) are very rare (IR<0.5 per 100,000). These data are of major interest for different stakeholders. Health care planners can find useful information herein to properly plan and think of how to reorganise health care services. Researchers now have numbers to design clinical trials considering alternative study designs and statistical approaches. Population-based cancer registries with good quality data are the best source of information to describe the rare cancer burden in a population.

Influence of image-defined risk factors on the outcome of patients with localised neuroblastoma. A report from the LNESG1 study of the European International Society of Paediatric Oncology Neuroblastoma Group.

BACKGROUND: The European multicenter study LNESG1 was designed to evaluate the safety and efficacy of surgical treatment alone in patients with localised neuroblastoma. In a retrospective, observational study we examined the impact of image-defined risk factors (IDRF) on operative complications and survival (EFS and OS). PROCEDURE: 534 patients with localised, non-MYCN amplified neuroblastoma were recruited between 1995 and 1999. Group 1 consisted of 291 patients without IDRF (Stage L1 in the International Neuroblastoma Risk Group (INRG) staging system), all treated with primary surgery. Group 2: 118 patients with IDRF (INRG Stage L2), also treated with primary surgery. Group 3: 125 patients in whom primary surgery was not attempted, 106 receiving neo-adjuvant chemotherapy. RESULTS: In L1 patients (Group 1) 5-year EFS was 92% and OS 98%. In L2 patients (Group 2 and 3) EFS was 79% and OS 89%. The differences in both EFS and OS were significant. EFS and OS in Group 2 (86% and 95%) were significantly better than 73% and 83% in Group 3. In INSS stage 1, 2 and 3, EFS were respectively 94%, 81% and 76%. Except between stage 2 and 3 the differences were significant. OS were respectively 99%, 93% and 83%, all significantly different. The 17% operative complication rate in L2 patients was significantly higher than 5% in L1 patients. CONCLUSIONS: In localised neuroblastoma, IDRF at diagnosis are associated with worse survival rates and higher rates of operative complications. The impact of IDRF should become an integrated part of therapy planning.

Image-defined risk factor assessment of neurogenic tumors after neoadjuvant chemotherapy is useful for predicting intra-operative risk factors and the completeness of resection.

BACKGROUND: Patients with neuroblastoma are now stratified at diagnosis according to the presence and number of image-defined risk factors (IDRFs). We examined the added value of IDRF assessment after neoadjuvant chemotherapy for predicting surgical resection. MATERIAL AND METHODS: From 2009-2012, 39 out of 91 patients operated on in our institution for neuroblastic tumors received neoadjuvant chemotherapy based on ongoing SIOPEN protocols or treatment guidelines. IDRFs were assessed both at diagnosis and preoperatively on CT and/or MRI. RESULTS: Median age at diagnosis was 30 months [range 2-191]. The tumor locations were adrenal (n = 20), paravertebral (n = 13) and perivascular (n = 6). INRGSS stages were L2 (n = 13), M (n = 25) and Ms (n = 1). Eleven tumors (28%) were MYCN-amplified. Chemotherapy reduced the number of IDRFs in 54% of patients overall (21/39): 61.5% (16/26) of M and Ms patients, and 38.5% (5/13) of non metastatic patients (P < 0.001). The number of IDRFs lost after chemotherapy was proportional to the degree of tumor shrinkage (P = 0.002), independent of the primary tumor location (P = 0.73), although the number was higher in patients with left versus right adrenal locations (P = 0.004). Patients with neuroblastoma on post-surgical histology lost more IDRFs (median: 1[0-9]) than patients with ganglioneuroblastoma (median: 0[0-4]) (P < 0.001). The completeness of resection was related only to the number of preoperative IDRFs (P = 0.028). CONCLUSION: IDRF assessment after neoadjuvant chemotherapy is useful for predicting completeness of resection of neurogenic tumors. A larger international study is needed to confirm these results and to explore a possible correlation between preoperative IDRF status and survival.

Therapeutic and preventive antiemetic effect of aprepitant in Japanese patients with thoracic malignancies who truly need it.

PURPOSE: Neurokinin-1 (NK-1) receptor antagonist is recommended for chemotherapy-induced nausea and vomiting (CINV) in highly emetogenic chemotherapy (HEC) and has recently been introduced to oncology practice in Japan. However, whether all patients undergoing HEC truly need NK-1 receptor antagonist remains unknown, and increasing medical costs due to uniform use of NK-1 receptor antagonist are a concern. This study was conducted to examine the prevalence of patients who needed aprepitant at the time of its introduction in Japan, and therapeutic and preventive effects of aprepitant on HEC or moderately emetogenic chemotherapy (MEC). PATIENTS AND METHODS: Eligible patients with thoracic malignancies who were to undergo HEC or MEC received 5-hydroxytryptamine receptor antagonists and dexamethasone to prevent CINV. Aprepitant was administered to treat CINV occurring in the first course, or to prevent CINV in the second course. Frequency of vomiting, degree of nausea, and quality of life with respect to CINV were assessed. RESULTS: In total, 96 patients were enrolled. Aprepitant was not administered in 57 and 88 % of patients who received HEC and MEC, respectively. In patients treated with aprepitant (n = 18), therapeutic use of aprepitant after occurrence of CINV (n = 9) decreased average scores in numerical rating scale for nausea from 7.44 to 5.44 (p = 0.10), and average frequency of vomiting per day from 2.11 to 0.11 (p = 0.03). Prophylactic use of aprepitant in the second course (n = 18) increased the proportion of patients with no significant nausea from 6 % (first course) to 50 % (second course; p = 0.007), and those with no vomiting from 33 to 89 % (p = 0.002). Aprepitant use also significantly improved quality of life with respect to CINV in the second course. CONCLUSION: More than half of patients receiving HEC and 88 % of patients receiving MEC did not use aprepitant. Aprepitant showed significant therapeutic and preventive effects on CINV in patients who truly needed it.

Distribution of metastatic sites in patients with prostate cancer: A population-based analysis.

BACKGROUND: There is few data on what constitutes the distribution of metastatic sites in prostate cancer (PCa). The aim of our study was to systematically describe the most common sites of metastases in a contemporary cohort of PCa patients. METHODS: Patients with metastatic PCa were abstracted from the Nationwide Inpatient Sample (1998-2010). Most common metastatic sites within the entire population were described. Stratification was performed according to the presence of single or multiple (≥ 2 sites) metastases. Additionally, we evaluated the distribution of metastatic sites amongst patients with and without bone metastases. RESULTS: Overall, 74,826 patients with metastatic PCa were identified. The most common metastatic sites were bone (84%), distant lymph nodes (10.6%), liver (10.2%), and thorax (9.1%). Overall, 18.4% of patients had multiple metastatic sites involved. When stratifying patients according to the site of metastases, only 19.4% of men with bone metastases had multiple sites involved. Conversely, among patients with lymph nodes, liver, thorax, brain, digestive system, retroperitoneum, and kidney and adrenal gland metastases the proportion of men with multiple sites involved was 43.4%, 76.0%, 76.7%, 73.0%, 52.2%, 60.9%, and 76.4%, respectively. When focusing exclusively on patients with bone metastases, the most common sites of secondary metastases were liver (39.1%), thorax (35.2%), distant lymph nodes (24.6%), and brain (12.4%). CONCLUSIONS: Although the majority of patients with metastatic PCa experience bone location, the proportion of patients with atypical metastases is not negligible. These findings might be helpful when planning diagnostic imaging procedures in patients with advanced PCa.

Describing differences among populations of thoracic tumors patients under and over 80 years: Data analysis from the SLCG thoracic tumor registry.

OBJECTIVES: Cancer is a disease of old age; however, most studies usually included minority of patients fit elderly. The purpose is to investigate the clinical characteristics and genetic information of patients with thoracic tumors who are 80 years old or older compared to those under 80 years old. STUDY DESIGN AND METHODS: The Thoracic Tumor Registry (TTR) is a Spanish observational, prospective cohort study that included patients diagnosed with thoracic tumors. Data were collected from medical records related to sociodemographic, epidemiological, clinical, molecular/genetic, and treatment outcome variables. RESULTS: The total number of patients, recruited from August 2016 to April 2023, was 26.193 (93,1 % were younger than 80 years and 6,9 % were 80 years or older). In the group of older patients: the male ratio increased (72,9 % vs. 80 %); the number of elderly people who had never smoked or were ex-smokers increased (9,9 % vs. 21,1 % and 44,8 % vs. 61,3 %, respectively) and the number of current smokers decreased (43,3 % vs. 17,5 %); had higher ECOG performance status at diagnosis (for ECOG ≥ 2, 15 % vs. 32,9 %), and there were more patients with previous cancer (17,3 % vs. 28 %). The proportion of men is higher than that of women (73 % vs. 27 % in <80 years and 80 % vs. 20 % in ≥80 years). For all biomarkers, the proportion of patients who had a molecular determination was lower in older patients. There were no differences in terms of alterations in the biomarkers tested; except for EGFR, for which the positivity rate was higher in patients aged 80 years and older (25 % vs. 15,3 %). CONCLUSION: The proportion of older patients with targeted mutations is higher. So, at least at diagnosis, it should be proceeded in a standard way. Then, when it comes to treatment, comorbidities and patient's baseline situation should be considered. CLINICAL TRIAL REGISTRATION: NCT02941458.

Risk and prognosis of secondary lung cancer after radiation therapy for thoracic malignancies.

OBJECTIVE: Radiation therapy (RT) may increase the risk of second cancer. This study aimed to determine the association between exposure to radiotherapy for the treatment of thoracic cancer (TC) and subsequent secondary lung cancer (SLC). MATERIALS AND METHODS: The Surveillance, Epidemiology, and End Results (SEER) database (from 1975 to 2015) was queried for TC. Univariate Cox regression analyses and multiple primary standardized incidence ratios (SIRs) were used to assess the risk of SLC. Subgroup analyses of patients stratified by latency time since TC diagnosis, age at TC diagnosis, and calendar year of TC diagnosis stage were also performed. Overall survival and SLC-related death were compared among the RT and no radiation therapy (NRT) groups by using Kaplan-Meier analysis and competitive risk analysis. RESULTS: In a total of 329 129 observations, 147 847 of whom had been treated with RT. And 6799 patients developed SLC. Receiving radiotherapy was related to a higher risk of developing SLC for TC patients (adjusted HR, 1.25; 95% CI, 1.19-1.32; P < 0.001). The cumulative incidence of developing SLC in TC patients with RT (3.8%) was higher than the cumulative incidence (2.9%) in TC patients with NRT(P). The incidence risk of SLC in TC patients who received radiotherapy was significantly higher than the US general population (SIR, 1.19; 95% CI, 1.14-1.23; P < 0.050). CONCLUSIONS: Radiotherapy for TC was associated with higher risks of developing SLC compared with patients unexposed to radiotherapy.

Disparities in outcomes between Black and White patients in North America with thoracic malignancies and COVID-19 infection (TERAVOLT).

BACKGROUND: Patients with thoracic malignancies who develop COVID-19 infection have a higher hospitalization rate compared to the general population and to those with other cancer types, but how this outcome differs by race and ethnicity is relatively understudied. METHODS: The TERAVOLT database is an international, multi-center repository of cross-sectional and longitudinal data studying the impact of COVID-19 on individuals with thoracic malignancies. Patients from North America with thoracic malignancies and confirmed COVID-19 infection were included for this analysis of racial and ethnic disparities. Patients with missing race data or races and ethnicities with fewer than 50 patients were excluded from analysis. Multivariable analyses for endpoints of hospitalization and death were performed on these 471 patients. RESULTS: Of the 471 patients, 73% were White and 27% were Black. The majority (90%) were non-Hispanic ethnicity, 5% were Hispanic, and 4% were missing ethnicity data. Black patients were more likely to have an Eastern Cooperative Oncology Group (ECOG) Performance Status ≥ 2 (p-value = 0.04). On multivariable analysis, Black patients were more likely than White patients to require hospitalization (Odds Ratio (OR): 1.69, 95% CI: 1.01-2.83, p-value = 0.044). These differences remained across different waves of the pandemic. However, no statistically significant difference in mortality was found between Black and White patients (OR 1.29, 95% CI: 0.69-2.40, p-value = 0.408). CONCLUSIONS: Black patients with thoracic malignancies who acquire COVID-19 infection are at a significantly higher risk of hospitalization compared to White patients, but there is no significant difference in mortality. The underlying drivers of racial disparity among patients with thoracic malignancies and COVID-19 infection require ongoing investigation.

Natural history of gastro-entero-pancreatic and thoracic neuroendocrine tumors. Data from a large prospective and retrospective Italian epidemiological study: the NET management study.

BACKGROUND: The few epidemiological data available in literature on neuroendocrine tumors (NET) are mainly based on Registry databases, missing therefore details on their clinical and natural history. AIM: To investigate epidemiology, clinical presentation, and natural history of NET. DESIGN AND SETTING: A large national retrospective survey was conducted in 13 Italian referral centers. Among 1203 NET, 820 originating in the thorax (T-NET), in the gastro-enteropancreatic tract (GEP-NET) or metastatic NET of unknown primary origin (U-NET) were enrolled in the study. RESULTS: 93% had a sporadic and 7% a multiple endocrine neoplasia type 1 (MEN1)-associated tumor; 63% were GEP-NET, 33% T-NET, 4% U-NET. Pancreas and lung were the commonest primary sites. Poorly differentiated carcinomas were <10%, all sporadic. The incidence of NET had a linear increase from 1990 to 2007 in all the centers. The mean age at diagnosis was 60.0 ± 16.4 yr, significantly anticipated in MEN1 patients (47.7 ± 16.5 yr). Association with cigarette smoking and other non-NET cancer were more prevalent than in the general Italian population. The first symptoms of the disease were related to tumor burden in 46%, endocrine syndrome in 23%, while the diagnosis was fortuity in 29%. Insulin (37%) and serotonin (35%) were the most common hormonal hypersecretions. An advanced tumor stage was found in 42%, more frequently in the gut and thymus. No differences in the overall survival was observed between T-NET and GEP-NET and between sporadic and MEN1-associated tumors at 10 yr from diagnosis, while survival probability was dramatically reduced in U-NET. CONCLUSIONS: The data obtained from this study furnish relevant information on epidemiology, natural history, and clinico-pathological features of NET, not available from the few published Register studies.

Diagnostic difficulties and delays with chest wall chondrosarcoma: a Swedish population based Scandinavian Sarcoma Group study of 106 patients.

BACKGROUND: Bone sarcomas in Sweden are generally referred to a multidisciplinary team at specialized sarcoma centers. This practice is strictly followed for sarcomas of long bones, but not for chest wall chondrosarcomas. Delay in diagnosis and treatment is often considerable for bone sarcomas. This report focuses on the symptoms and diagnostic problems of chest wall chondrosarcoma and factors related to long doctor's delay. METHODS: The material included all 106 consecutive patients with chondrosarcoma of the chest wall diagnosed in Sweden 1980-2002. Pathological specimens were re-evaluated and graded by the Scandinavian Sarcoma Group pathology board. Files from the very first medical visit for symptoms related to the chondrosarcoma were traced and used to characterize the initial symptoms and calculate patient's and doctor's delay. RESULTS: The most prominent initial symptom for the chest wall chondrosarcomas was a palpable mass found in 69% (73/106) of the patients at the first visit. Two-thirds of the patients experienced no local chest pain. A tumor was suspected at the first visit in 83% of the patients. Patients delay was median 3 (0-118) months and doctor's delay was 4.5 (0.1-197) months. Doctor's delay was >6 months for 40% of the patients. Patients with an initial plain chest radiograph interpreted as normal (35 patients), and/or normal or inconclusive results of a fine-needle aspiration biopsy had longer doctor's delay. Fine-needle aspiration cytology done at non-specialty units resulted in only 26% correct malignant diagnoses; at sarcoma centers 94% were correctly diagnosed. Long total delay was unfavorable. Patients who died from the chondrosarcoma had longer total delay (p<0.05). CONCLUSION: Chest wall chondrosarcoma presents as a lump, usually painless. Plain chest radiographs and fine-needle aspiration cytology, when done at a non-specialty center, are often normal or inconclusive. Patients should be referred to sarcoma centers for diagnosis and treatment.