Evaluating Debio 1347 in Patients with FGFR Fusion-Positive Advanced Solid Tumors from the FUZE Multicenter, Open-Label, Phase II Basket Trial.

PURPOSE: This multicenter phase II basket trial investigated the efficacy, safety and pharmacokinetics of Debio 1347, an investigational, oral, highly selective, ATP-competitive, small molecule inhibitor of FGFR1-3, in patients with solid tumors harboring a functional FGFR1-3 fusion. PATIENTS AND METHODS: Eligible adults had a previously treated locally advanced (unresectable) or metastatic biliary tract (cohort 1), urothelial (cohort 2) or other histologic cancer type (cohort 3). Debio 1347 was administered at 80 mg once daily, continuously, in 28-day cycles. The primary endpoint was the objective response rate (ORR). Secondary endpoints included duration of response, progression-free survival, overall survival, pharmacokinetics, and incidence of adverse events. RESULTS: Between March 22, 2019 and January 8, 2020, 63 patients were enrolled and treated, 30 in cohort 1, four in cohort 2, and 29 in cohort 3. An unplanned preliminary statistical review showed that the efficacy of Debio 1347 was lower than predicted and the trial was terminated. Three of 58 evaluable patients had partial responses, representing an ORR of 5%, with a further 26 (45%) having stable disease (≥6 weeks duration). Grade ≥3 treatment-related adverse events occurred in 22 (35%) of 63 patients, with the most common being hyperphosphatemia (13%) and stomatitis (5%). Two patients (3%) discontinued treatment due to adverse events. CONCLUSIONS: Debio 1347 had manageable toxicity; however, the efficacy in patients with tumors harboring FGFR fusions did not support further clinical evaluation in this setting. Our transcriptomic-based analysis characterized in detail the incidence and nature of FGFR fusions across solid tumors.

A Comparative Multicenter Cohort Study Evaluating the Long-Term Influence of the Strict Lockdown during the First COVID-19 Wave on Lung Cancer Patients (ARTEMISIA Trial).

The consequences of the strict health restrictions during the first wave of COVID-19 on lung cancer (LC) patients are not known. This cohort study evaluated the impact of the initial lockdown on management of and long-term outcome in LC patients. This exposed-unexposed-type study included two evaluation periods of 6 months each in non-selected patients; one began on the first day of lockdown in 2020, and the other in 2019 during the same calendar period. Various indicators were compared: clinical profiles, management delays and overall survival beyond 2 years. A total of 816 patients from 7 public or private centers were enrolled. The clinical characteristics of the patients in 2020 did not differ from those in 2019, except that the population was older (p = 0.002) with more non-smokers (p = 0.006). Delays for pre-therapeutic medical management were generally reduced after the first imaging in 2020 (1.28 [1.1-1.49]). In the multivariate analysis, being part of the 2020 cohort was correlated with better prognosis (HR = 0.71 [0.5-0.84], p < 0.001). The gain observed in 2020 mainly benefited non-smoking patients, along with ECOG PS 0-2 (p = 0.01), stage 4 (p = 0.003), squamous cell carcinoma (p = 0.03) and receiving systemic therapy (p = 0.03). In conclusion, the first lockdown did not exert any deleterious impact on LC patients.

COVID-19 Infection despite Previous Vaccination in Cancer Patients and Healthcare Workers: Results from a French Prospective Multicenter Cohort (PAPESCO-19).

In a multicenter prospective cohort of cancer patients (CP; n = 840) and healthcare workers (HCWs; n = 935) vaccinated against COVID-19, we noticed the following: i/after vaccination, 4.4% of HCWs and 5.8% of CP were infected; ii/no characteristic was associated with post-vaccine COVID-19 infections among HCWs; iii/CP who developed infections were younger, more frequently women (NS), more frequently had gastrointestinal, gynecological, or breast cancer and a localized cancer stage; iv/CP vaccinated while receiving chemotherapy or targeted therapy had (NS) more breakthrough infections after vaccination than those vaccinated after these treatments; the opposite was noted with radiotherapy, immunotherapy, or hormonotherapy; v/most COVID-19 infections occurred either during the Alpha wave (11/41 HCW, 20/49 CP), early after the first vaccination campaign started, or during the Omicron wave (21/41 HCW, 20/49 CP), more than 3 months after the second dose; vi/risk of infection was not associated with values of antibody titers; vii/the outcome of these COVID-19 infections after vaccination was not severe in all cases. To conclude, around 5% of our CPs or HCWs developed a COVID-19 infection despite previous vaccination. The outcome of these infections was not severe.

Opportunities and Obstacles to the Development of Health Data Warehouses in Hospitals in France: The Recent Experience of Comprehensive Cancer Centers.

Big Data and Artificial Intelligence can profoundly transform medical practices, particularly in oncology. Comprehensive Cancer Centers have a major role to play in this revolution. With the purpose of advancing our knowledge and accelerating cancer research, it is urgent to make this pool of data usable through the development of robust and effective data warehouses. Through the recent experience of Comprehensive Cancer Centers in France, this article shows that, while the use of hospital data warehouses can be a source of progress by taking into account multisource, multidomain and multiscale data for the benefit of knowledge and patients, it nevertheless raises technical, organizational and legal issues that still need to be addressed. The objectives of this article are threefold: 1. to provide insight on public health stakes of development in Comprehensive Cancer Centers to manage cancer patients comprehensively; 2. to set out a challenge of structuring the data from within them; 3. to outline the legal issues of implementation to carry out real-world evidence studies. To meet objective 1, this article firstly proposed a discussion on the relevance of an integrated approach to manage cancer and the formidable tool that data warehouses represent to achieve this. To address objective 2, we carried out a literature review to screen the articles published in PubMed and Google Scholar through the end of 2022 on the use of data warehouses in French Comprehensive Cancer Centers. Seven publications dealing specifically with the issue of data structuring were selected. To achieve objective 3, we presented and commented on the main aspects of French and European legislation and regulations in the field of health data, hospital data warehouses and real-world evidence.

COVID-19 Vaccination Campaign in Cancer Patients and Healthcare Workers-Results from a French Prospective Multicenter Cohort (PAPESCO-19).

In this prospective, real-life cohort study, we followed 523 cancer patients (CP) and 579 healthcare workers (HCW) from two cancer centers to evaluate the biological and clinical results of the COVID-19 vaccination campaign. Seventy percent of the CP and 90% of the HCW received an mRNA vaccine or the AZD1222 vaccine. Seropositivity was high after the first vaccine among HCW and poor among CP. The second dose resulted in almost 100% seropositivity in both cohorts. Antibody response was higher after the second injection than the first in both populations. Despite at least two doses, 8 CP (1.5%) and 14 HCW (2.4%) were infected, corresponding either to a weak level of antibody or a new strain of virus (particularly the Omicron variant of concern). Sixteen CP and three HCW were hospitalized but none of them died from COVID-19. To conclude, this study showed that two doses of COVID-19 vaccines were crucially necessary to attain sufficient seropositivity. However, the post-vaccination antibody level declines in individuals from the two cohorts and could not totally prevent new SARS-CoV-2 infections.

COVID-19 Infections in Cancer Patients Were Frequently Asymptomatic: Description From a French Prospective Multicenter Cohort (PAPESCO-19).

Background: Cancer patients (CPs) are considered more vulnerable and as a high mortality group regarding COVID-19. In this analysis, we aimed to describe asymptomatic COVID (+) CPs and associated factors. Methods: We conducted a prospective study in CPs and health care workers (HCWs) in 4 French cancer centers (PAPESCO [PAtients et PErsonnels de Santé des Centres de Lutte Contre le Cancer pendant l'épidémie de COvid-19] study). This analysis used data recorded between June 17, 2020 and November 30, 2020 in CPs (first 2 waves, no variants). At inclusion and quarterly, CPs reported the presence of predefined COVID-19 symptoms and had a blood rapid diagnostic test; a reverse transcription polymerase chain reaction (RT-PCR) was done in case of suspected infection. Results: A total 878 CPs were included; COVID-19 prevalence was similar in both CPs (8%) and HCWs (9.5%); of the 70 CPs (8%) who were COVID (+), 29 (41.4%) were and remained asymptomatic; 241/808 of the COVID (-) (29.8%) were symptomatic. 18 COVID (+) were hospitalized (2% of CPs), 1 in intensive care unit (ICU) and 1 died (0.1% of CPs and 2.4% of symptomatic COVID [+] CPs). Only the inclusion center was associated with clinical presentation (in Nancy, Angers, Nantes, and Clermont-Ferrand: 65.4%, 35%, 28.6%, and 10% CPs were asymptomatic, respectively). Conclusions: Seroprevalence of COVID-19 in CPs was similar to that observed in HCWs; mortality related to COVID-19 among CPs was 0.1%. More than 40% of COVID (+) CPs were asymptomatic and one third of COVID (-) CPs had symptoms. Only geographic origin was associated with the presence or absence of symptoms. Social distancing and protective measures must be applied in CPs at home and when hospitalized.

Anosmia but Not Ageusia as a COVID-19-Related Symptom among Cancer Patients-First Results from the PAPESCO-19 Cohort Study.

Background: Cancer patients may fail to distinguish COVID-19 symptoms such as anosmia, dysgeusia/ageusia, anorexia, headache, and fatigue, which are frequent after cancer treatments. We aimed to identify symptoms associated with COVID-19 and to assess the strength of their association in cancer and cancer-free populations. Methods: The multicenter cohort study PAPESCO-19 included 878 cancer patients and 940 healthcare workers (HCWs). At baseline and quarterly thereafter, they reported the presence or absence of 13 COVID-19 symptoms observed over 3 months and the results of routine screening RT-PCR, and they were systematically tested for SARS-CoV-2-specific antibodies. We identified the symptom combinations significantly associated with COVID-19. Results: Eight percent of cancer patients were COVID-19 positive, and 32% were symptomatic. Among the HCWs, these proportions were 9.5 and 52%, respectively. Anosmia, anorexia, fever, headache, and rhinorrhea together accurately discriminated (c-statistic = 0.7027) COVID-19 cases from cancer patients. Anosmia, dysgeusia/ageusia, muscle pain, intense fatigue, headache, and chest pain better discriminated (c-statistic = 0.8830) COVID-19 cases among the HCWs. Anosmia had the strongest association in both the cancer patients (OR = 7.48, 95% CI: 2.96-18.89) and HCWs (OR = 5.71, 95% CI: 2.21-14.75). Conclusions: COVID-19 symptoms and their diagnostic performance differ in the cancer patients and HCWs. Anosmia is associated with COVID-19 in cancer patients, while dysgeusia/ageusia is not. Cancer patients deserve tailored preventive measures due to their particular COVID-19 symptom pattern.

The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients.

BACKGROUND: Breast cancer is the most common cancer in women and the first cancer concerning mortality. Metastatic breast cancer remains a disease with a poor prognosis and about 30% of women diagnosed with an early stage will have a secondary progression. Metastatic breast cancer is an incurable disease despite significant therapeutic advances in both supportive cares and targeted specific therapies. In the management of a metastatic patient, each clinician follows a highly complex and strictly personal decision making process. It is based on a number of objective and subjective parameters which guides therapeutic choice in the most individualized or adapted manner. METHODS/DESIGN: The main objective is to integrate massive and heterogeneous data concerning the patient's environment, personal and familial history, clinical and biological data, imaging, histological results (with multi-omics data), and microbiota analysis. These characteristics are multiple and in dynamic interaction overtime. With the help of mathematical units with biological competences and scientific collaborations, our project is to improve the comprehension of treatment response, based on health clinical and molecular heterogeneous big data investigation. DISCUSSION: Our project is to prove feasibility of creation of a clinico-biological database prospectively by collecting epidemiological, socio-economic, clinical, biological, pathological, multi-omic data and to identify characteristics related to the overall survival status before treatment and within 15 years after treatment start from a cohort of 300 patients with a metastatic breast cancer treated in the institution. TRIAL REGISTRATION: ClinicalTrials.gov identifier (NCT number): NCT03958136 . Registration 21st of May, 2019; retrospectively registered.

[Genetic instability, a factor limiting the efficiency of targeted therapies in solid oncology]. / L'instabilité génomique, paramètre limitant l'efficacité des thérapies ciblées en oncologie.

Genomic instability is one of the main properties of tumour development, promoting first the acquisition of genetic alterations and thus carcinogenesis. Then, the chronic and anarchic proliferation of cancer cells also supports and contributes to this instability allowing a continuous evolution of the tumour. The accumulation of mutations resulting from that instability contributes to tumour heterogeneity that occurs in a specific environment. The resulting diversity of oncogenic drivers further complicates the characterization of the origin of cancer cells dysfunction and consequently therapeutic decision. However, the consideration of the molecular context in oncology has initiated the development of targeted therapies. Based on the concept of oncogene addiction and synthetic lethality, these new drugs require the characterization and identification of specific tumour biomarkers. Targeted therapies have thus considerably optimized patient management, improving efficiency and quality of life while limiting the side effects observed with conventional chemotherapies. However, despite significant clinical benefits, some major limitations to their administration remain. The study of the current issues related to these new therapeutic molecules is becoming crucial for patient management towards an improvement of personalized medicine.

[EGFR molecular characterization in non-small cell bronchic cancer: comparative prospective study by NGS and Idylla platform technologies]. / Caractérisation moléculaire de l'EGFR dans les cancers bronchiques non à petites cellules : étude prospective comparative des technologies NGS et automate Idylla.

INTRODUCTION: Detection of genetic alterations in the EGFR tyrosine kinase domain is a major concern in the management of non-small cell lung cancer because it conditions access to tyrosine kinase inhibitors. In practice, it is possible to characterize only well-documented mutations or to sequence all relevant EGFR exons and also other targets of theranostic interest. This prospective study compares the targeted EGFR characterization on Idylla platform (Biocartis) and a more extensive one by next generation sequencing using Ion Torrent technology. MATERIAL AND METHODS: A total of 100 formalin-fixed paraffin-embedded tumour samples were tested simultaneously by both techniques under the conditions recommended by the suppliers. The comparison covered all technical and practical aspects of the laboratory. RESULTS: At least one EGFR mutation of interest for tyrosine kinase inhibitors for 9 and 7 samples was detected respectively by sequencing and by the Idylla system. For three samples, EGFR sensitive mutations to tyrosine kinase inhibitors were detected only by next-generation sequencing. In addition, for 37 samples, mutations of clinical interest outside EGFR were characterized by sequencing and communicated to the prescriber. CONCLUSION: Idylla technology allows the rapid characterization of a majority of EGFR variants. The result can be optimized by careful analysis of the amplification curves with the Idylla Explore tool or by increasing the amount of initial material. A complementary new generation sequencing analysis for non-contributory results by Idylla should also be recommended.

Outcomes and prognostic factors for relapsed or refractory lymphoma patients in phase I clinical trials.

Background Although safety and prognostic factors for overall survival (OS) have been extensively studied in Phase I clinical trials on patients with solid tumours, data on lymphoma trials are scarce. Here, we investigated safety, outcomes and prognostic factors in relapsed or refractory lymphoma patients included in a series of Phase I trials. Method and patients All consecutive adult patients with recurrent/refractory lymphoma enrolled in 26 Phase I trials at a single cancer centre in France between January 2008 and June 2016 were retrospectively assessed. Results 133 patients (males: 65%) were included in the analysis. The median (range) age was 65 (23-86). Aggressive non-Hodgkin, indolent non-Hodgkin and Hodgkin types accounted for 64%, 25% and 11% of the patients, respectively. The patients had received a median (range) of 3 (1-13) lines of treatment prior to trial entry. The median [95% confidence interval] progression-free survival and OS times were 3.0 [1.8-3.6] and 17.8 [12.7-30.4] months, respectively. High-grade toxicity (grade 3 or higher, according to the National Cancer Institute's Common Terminology Criteria for Adverse Events classification) was experienced by 56 of the 133 patients (42%) and was related to the investigational drug in 44 of these cases (79%). No toxicity-related deaths occurred. Dose-limiting toxicity (DLT) was encountered in 11 (9%) of the 116 evaluable patients. High-grade toxicity occurred during the DLT period for 34 of the 56 patients (61%) and after the DLT period in the remaining 22 (39%). The main prognostic factors for poor OS were the histological type (i.e. tumour aggressiveness), an elevated serum LDH level, and a low serum albumin level. Early withdrawal from a trial was correlated with the performance status score, the histological type and the serum LDH level. The overall objective response and disease control rates were 24% and 57%, respectively. Conclusion Performance status, LDH, albumin and histological type (tumour aggressiveness) appear to be the most relevant prognostic factors for enrolling Phase I participants with relapsed or refractory lymphoma. 39% of the patients experienced a first high-grade toxic event after the dose-limiting toxicity period, suggesting that the conventional concept of dose-limiting toxicity (designed for chemotherapy) should be redefined in the era of modern cancer therapies.

Prospective validation of a prognostic score for patients in immunotherapy phase I trials: The Gustave Roussy Immune Score (GRIm-Score).

INTRODUCTION: Life expectancy evaluation is crucial when selecting patients who may benefit from phase I studies. The Royal Marsden Hospital (RMH) prognostic score, based on three objective variables (number of metastatic sites, lactate dehydrogenase (LDH) and serum albumin) was validated in patients treated with cytotoxics and targeted therapies. We aimed to determine if those factors were applicable to immune-checkpoint therapies (ICTs) in phase I trials and to evaluate new variables that may preclude a better prognosis in patients receiving ICT. PATIENTS AND METHODS: We conducted a retrospective analysis of survival risk factors in a discovery cohort of 155 patients enrolled into ICT phase I trials at our institution. We computed univariate analysis and multivariate analysis (MVA) of demographics, clinical and biological data to assess their prognostic value for overall survival (OS). MVA results were used to build a prognostic score for OS. A validation cohort of 113 patients enrolled in phase I ICT trials was used to prospectively validate this score. RESULTS: A total of 155 patients (M/F: 83/72; median age 59) receiving an experimental ICT between March 2012 and January 2016 were included in the discovery cohort. An MVA assessing the RMH score variables showed that low albumin (hazard ratio [HR] 1.73, 95% confidence interval [CI] 1.05-2.86) and LDH > upper limit normal (ULN) (HR 1.88, 95% CI 1.12-3.15) were independent negative prognostic factors for OS. Interestingly, neutrophil-to-lymphocyte ratio (NLR) > 6 (HR 1.75, 95% CI 1.04-2.95) was associated with a decrease in OS. The number of metastases was not associated with a poorer outcome for this ICT cohort (HR 0.83, 95% CI 0.51-1.35). A risk score based on the results of the MVA (NLR > 6 = 1; LDH > ULN = 1; albumin < 35 g/l = 1) showed that patients presenting a high score (>1) had a significantly shorter OS (20.4 weeks; 95% CI 5.7-35.2) compared to those with a low score (0 or 1) (68.9 weeks; 95% CI 50-83.7) (HR 2.9, 95% CI 1.87-4.64). In the validation cohort of 113 patients, again the patients presenting a high score showed an inferior OS (HR 6.3, 95% CI 2.7-14.8). CONCLUSION: In ICT phase I trials, traditional prognostic variables included in the RMH score may be suboptimal to determine patient's prognosis. In this context, the NLR is a significant prognostic variable. The Gustave Roussy Immune Score, based on albumin, LDH and NLR, allows a better selection of patients for ICT phase I trials.

[Immunotherapy for the treatment of patients with genitourinary cancers: Review and perspectives]. / Les avancées de l'immunothérapie dans la prise en charge des patients atteints de tumeurs génito-urinaires.

Management of genitourinary (GU) cancers is improving rapidly with the development of immunotherapy agents, especially anti-PD-1/anti-PD-L1 therapies. Large studies have shown better outcomes for the treatment of these patients, leading to new drug approvals and recent changes in standards of care in renal, prostate and bladder cancer. We performed a review of recent studies assessing efficacy of immuno-oncology therapies in GU cancers. New results are summarized and next ways of development of clinical research are discussed as the use of such therapies will soon be assessed in first-line or adjuvant settings.

Erlotinib pharmacokinetics: a critical parameter influencing acute toxicity in elderly patients over 75 years-old.

Background Older non-small cell lung cancer (NSCLC) patients under erlotinib are reported to experience more acute toxicity. We hypothesized that modifications in erlotinib pharmacokinetics might explain this observation. Methods A monocentric prospective clinico-pharmacological study included stage IIIb/IV NSCLC consecutive pts. treated with erlotinib. The plasma concentration of erlotinib (Ce) was measured at steady state on day 15. We studied the relationship between age > 75 years, and Ce, using the Mann-Whitney U test and with the occurrence of acute toxicity, using a Fisher's test. Results A total of 53 pts. were analyzed. Median age was 68 years (31-83), 56 % were female. All pts. > 75 years experienced toxicity: all grade acute adverse events were 1.6 fold more frequent (100 % vs 61 %; OR 95 % CI [1.9-INF]; p = 0.003). At day 15, Ce increased with age. Over 75 years old, the mean Ce was 1.5 fold higher: 2091 ng/mL (95 % CI [1476; 2706]) vs 1359 (95 % CI [1029; 1689]; p = 0.024). In pts. over 80 years old, the mean Ce was doubled: 2729 (95 % CI [1961; 3497]) vs 1358 ng/mL (95 % CI [1070; 1646]; p = 0.0019). Reduced lean body mass over 75 years (median 36.6 kg versus 49.1 kg) might account for these differences. Finally, the risk of early erlotinib discontinuation was increased by 11 in older pts. (33 % vs 3 % OR 17.2; 95 % CI [1.7; 892.5] p = .005). Conclusion The risk of overexposure to erlotinib increases with age. Reduced lean body mass may explain erlotinib pharmacokinetics and excessive acute toxicity in the elderly.

Risk factors for de Quervain's disease in a French working population.

OBJECTIVE: De Quervain's disease (DQD) is a significant cause of musculoskeletal pain among workers. The aim of this study was to assess the relative importance of personal and occupational risk factors for DQD in a working population. METHODS: A total of 3710 workers from a French region were randomly included in the cross-sectional study between 2002-2005. There were 45 subjects with DQD (of these, 5 subjects had a bilateral condition), diagnosed by 83 trained occupational physicians performing a standardized physical examination. Individual factors and work exposure were assessed by a standardized physical and a self-administered questionnaire. Statistical associations between DQD and individual and occupational factors were analyzed using logistic regression modeling in the whole sample and among women. RESULTS: The prevalence rates of uni- or bilateral DQD for the whole, male and female working populations were 1.2% [95% confidence interval (95% CI) 0.9-1.6], 0.6% (95% CI 0.3-0.9) and 2.1% (95% CI 1.4-2.8), respectively. Personal risk factors for DQD were mainly age (1.1 for 1-year increase in age) and female gender [odds ratio (OR) 4.9, 95% CI 2.4-10.1]. Work-related factors were workpace dependent on (i) technical organization (OR 2.0, 95% CI 1.0-4.0), (ii) repeated or sustained wrist bending in extreme posture (OR 2.6, 95% CI 1.3-5.3) and (iii) repeated movements associated with the twisting or driving of screws (OR 3.4, 95% CI 1.7-7.1). No association was found with psychosocial factors. CONCLUSIONS: Personal and work-related factors were associated with DQD in the working population; wrist bending and movements associated with the twisting or driving of screws were the most significant of the work-related factors.