HER2 copy number variation in non-small cell lung cancer (NSCLC)

Background: The value of increased HER2 gene copy number (GCN) in NSCLC is unclear. In this study we defined its frequency and characterized a cohort of patients harboring it. Methods: Patients with stage IIIB/IV NSCLC enrolled in the Gustave Roussy MSN study (NCT02105168) between Oct. 2009 and Feb. 2016 were screened by FISH (positivity defined as HER2 GCN to centromeres ratio ≥ 2) and tested for other molecular alterations. Descriptive analyses of clinical-pathological data were performed, progression-free survival (PFS) and overall survival (OS) were estimated by Kaplan-Meier method. Results: HER2 FISH tested positive in 22 of 250 screened patients (9%). Median age was 60 years (range 47-80), 68% (n=15) were male, 91% (n=20) were current or former tobacco smokers (median exposure 47 pack-year), 64% (n=14) had adenocarcinoma, 18% (n=4) squamous cell and 18% (n=4) large cell carcinoma. 91% (n=20) had an ECOG PS of 0 or 1. Stage IV with extra-thoracic involvement was the most common clinical presentation (64%, n=14). Overall, 95% of patients (n=21) had 1 or 2 metastatic sites at diagnosis (bone 32%, lung 27%, nodes 18%, liver 18%, brain 18%). In 9 patients (41%) 12 concurrent molecular alterations were detected: 5 KRAS mutation (3 G12C, 1 G12D, 1 G61H), 2 HER2 exon 20 insertion, 1 EGFR exon 19 deletion, 1 BRAF V600E mutation, 1 ALK rearrangement, 1 FGFR1 and 1 MET amplification. 18 patients received first-line platinum-based chemotherapy, with 33% (95% CI 16-56) objective response rate and 83% (95% CI 61-94) disease control rate. After a median follow-up of 28 months (95% CI 23-45), median PFS and OS were 5.9 (95% CI 3.4-11.0) and 15.3 (95% CI 10.3-NR) months, respectively. Median PFS was longer in patients with higher GCN. As further line of treatment, 5 patients received trastuzumab: 4 in combination with chemotherapy and 1 as monotherapy, with 1 stabilization of disease as best response. 3 patients received nivolumab (1 partial response and 1 stable disease) and 3 a targeted therapy (anti ALK, EGFR, BRAF). Conclusions: Increased HER2 GCN was found in 9% of patients with unresectable NSCLC, was not correlated to particular clinical characteristics, but frequently occurred with other molecular alterations. Its clinical actionability and the correlation with protein expression deserve further characterization. Clinical trial identification: NCT02105168. Legal entity responsible for the study: Gustave Roussy. Funding: Has not received any funding. Disclosure: M. Tagliamento: Other, Personal, Other, Travel grants: Roche, Bristol-Myers Squibb, AstraZeneca, Takeda, Eli Lilly;Other, Personal, Writing Engagements, Honoraria as medical writer: Novartis, Amgen. E. Auclin: Financial Interests, Personal, Advisory Board: Amgen, Sanofi. E. Rouleau: Financial Interests, Institutional, Advisory Board: AstraZeneca, Roche, Amgen, GSK;Financial Interests, Institutional, Invited Speaker: Clovis, BMS;Financial Interests, Institutional, Funding, Data base: AstraZeneca. A. Bayle: Non-Financial Interests, Institutional, Other, Principal/Sub-Investigator of Clinical Trials: AbbVie, Adaptimmune, Adlai Nortye USA Inc, Aduro Biotech, Agios Pharmaceuticals, Amgen, Argen-X Bvba, Astex Pharmaceuticals, AstraZeneca Ab, Aveo, Basilea Pharmaceutica International Ltd, Bayer Healthcare Ag, Bbb Technologies Bv, BeiGene, BicycleTx Ltd, Non-Financial Interests, Institutional, Research Grant: AstraZeneca, BMS, Boehringer Ingelheim, GSK, INCA, Janssen Cilag, Merck, Novartis, Pfizer, Roche, Sanofi;Financial Interests, Institutional, Other, drug supplied: AstraZeneca, Bayer, BMS, Boehringer Ingelheim, GSK, MedImmune, Merck, NH TherAGuiX, Pfizer, Roche. F. Barlesi: Financial Interests, Personal, Advisory Board: AstraZeneca, Bayer, Bristol Myers Squibb, Boehringer Ingelheim, Eli Lilly Oncology, F. Hoffmann–La Roche Ltd, Novartis, Merck, Mirati, MSD, Pierre Fabre, Pfizer, Sanofi-Aventis, Seattle Genetics, Takeda;Non-Financial Interests, Principal Investigator: AstraZeneca, BMS, Merck, Pierre Fabre, F. Hoffmann-La Roche Ltd. D. Planchard: Financial I terests, Personal, Advisory Board: AstraZeneca, BMS, Merck, Novartis, Pfizer, Roche, Samsung, Celgene, AbbVie, Daiichi Sankyo, Janssen;Financial Interests, Personal, Invited Speaker: AstraZeneca, Novartis, Pfizer, priME Oncology, Peer CME, Samsung, AbbVie, Janssen;Non-Financial Interests, Principal Investigator, Institutional financial interests: AstraZeneca, BMS, Merck, Novartis, Pfizer, Roche, Daiichi Sankyo, Sanofi-Aventis, Pierre Fabre;Non-Financial Interests, Principal Investigator: AbbVie, Sanofi, Janssen. B. Besse: Financial Interests, Institutional, Funding: 4D Pharma, AbbVie, Amgen, Aptitude Health, AstraZeneca, BeiGene, Blueprint Medicines, Boehringer Ingelheim, Celgene, Cergentis, Cristal Therapeutics, Daiichi Sankyo, Eli Lilly, GSK, Janssen, Onxeo, Ose Immunotherapeutics, Pfizer, Roche-Genentech, Sanofi, Takeda, Tolero Pharmaceuticals;Financial Interests, Institutional, Research Grant: Chugai Pharmaceutical, EISAI, Genzyme Corporation, Inivata, Ipsen, Turning Point Therapeutics. L. Mezquita: Financial Interests, Personal, Advisory Board: Takeda, AstraZeneca, Roche;Financial Interests, Personal, Invited Speaker: Roche, BMS, AstraZeneca, Takeda;Financial Interests, Personal, Research Grant, SEOM Beca Retorno 2019: BI;Financial Interests, Personal, Research Grant, ESMO TR Research Fellowship 2019: BMS;Financial Interests, Institutional, Research Grant, COVID research Grant: Amgen;Financial Interests, Institutional, Invited Speaker: Inivata, Stilla. All other authors have declared no conflicts of interest.

International Multicenter Study Comparing Cancer to Non-Cancer Patients with COVID-19: Impact of Risk Factors and Treatment Modalities on Outcome

Background. Given the limited collaborative international studies that evaluated COVID-19 in patients with cancer in comparison to patients without cancer, we aimed to determine the independent risk factors associated with increased 30-day mortality and the impact of novel treatment modalities in a large group of cancer and non-cancer patients with COVID-19 from multiple countries. Methods. We retrospectively collected de-identified data on cancer and non-cancer patients diagnosed with COVID-19 between January and November 2020, at 16 centers in Asia, Australia, Europe, North America, and South America. A logistic regression model was used to identify independent predictors of all-cause mortality within 30 days after COVID-19 diagnosis. Results. Of the total 4015 COVID-19 confirmed patients entered, we analyzed 3966 patients, 1115 cancer and 2851 non-cancer patients. Cancer patients were older than non-cancer patients (median age, 61 vs 50 years;p< 0.0001);more likely to be pancytopenic , had pulmonary disorders, hypertension, diabetes mellitus. In addition, they were more likely to present with higher inflammatory biomarkers (D-dimer, ferritin and procalcitonin), but were less likely to present with clinical symptoms. By multivariable logistic regression analysis, cancer was an independent risk factor for 30-day mortality (OR 1.46;95% CI 1.03 to 2.07;p=0.035). Older age (≥65 years) was the strongest predictor of 30-day mortality in all patients (OR 4.55;95% CI 3.34 to 6.20;p< 0.0001). Remdesivir was the only therapeutic agent independently associated with decreased 30-day mortality (OR 0.58;CI 0.39-0.88;p=0.009). Among patients on lowflow oxygen at admission, patients who received remdesivir had a lower 30-day mortality rate than those who were on high flow oxygen (5.9% vs 17.6%;p=0.03). Patients transfused with convalescent plasma within 1 day of diagnosis had a lower 30-day mortality rate than those transfused later (1% vs 7%, p=0.04). Conclusion. Cancer is an independent risk factor for increased 30-day all-cause mortality from COVID-19. Remdesivir, particularly in patients receiving low-flow oxygen, can reduce 30-day all-cause mortality, as well as convalescent plasma given early after COVID-19 diagnosis.

Lung Cancer and Hematologic Malignancy ( HM) Patients Are Associated with the Highest Risk of Progressing to Severe Disease and Mortality in Cancer Patients with COVID-19

Background. Several studies have shown that underlying cancer is a risk factor for progression of COVID-19 to severe illness and fatal outcome but there is very little data that specifies which underlying cancer puts this patient population at the highest risk. Methods. We retrospectively collected de-identified data on 1115 cancer patients diagnosed with COVID-19 between January and November 2020, at 12 centers in Asia, Australia, Europe, North America, and South America. Patient characteristics including age, type of malignancy (hematologic malignancy [HM], lung cancer, and non-lung cancer were determined in association with severe illness as well as all-cause mortality within 30 days after COVID-19 diagnosis. Results. By multivariable logistic regression analysis, independent risk factors for 30-day mortality in cancer patients included age > 65 (OR 6.64;95% CI 3.351to 12.55;p< 0.0001), ALC < 0.5 K/microliter (OR 2.10;95% CI 1.16 to 3.79;p=0.014), and anemia at < 10g/dl (OR 2.41;95% CI 1.30 to 4.44;p=0.005). Among cancer patients, the 30-day mortality rate was significantly higher in patients with lung cancer than in patients with non-lung cancer solid tumors, including those with lung metastases (22% vs 9%;p=0.001). Patients with HM tended to have higher 30-day mortality than patients with non-lung cancer solid tumors (13% vs 9% p=0.07) and tended to have a lower mortality rate than patients with lung cancer (p=0.07). Furthermore, HM patients were more likely to be lymphopenic and anemic at diagnosis as well as progress to LRTI and be placed on ventilatory support compared to non-lung cancer solid tumor patients ( p= or < 0.01). In addition, lung cancer and HM patients were more likely to develop hypoxia and require hospital admission than non-lung cancer solid tumor patients ( p=0.01). Conclusion. Lung cancer and HM patients are associated with the highest risk of progressing to severe disease and mortality in cancer patients with COVID-19. Hence, cancer patient population should be given the highest priority as far as prevention [vaccination with boosters if needed] as well as preemptive early therapy with monoclonal antibodies right after the onset of COVID-19.

Impact of COVID-19 on ongoing oncological and hematological treatment strategy

Background: Outcomes and risk factors associated with COVID-19 worsening among cancer patients have previously been reported. However, the actual impact of SARs-Co-V2 infection on the cancer treatment strategy remains unknown. Here, we report the Gustave Roussy (GR) experience, one year after the onset of the pandemic focusing on the impact of COVID-19 in patients with ongoing management of oncohematological disease. Methods: All patients positively tested for SARS-CoV-2 and managed at GR between Mar 14th 2020 and Feb 15th 2021 (data cut-off) have been included. Patients underlying oncohematological disease and COVID19 characteristics have been collected. Cancer and COVID-19 management and outcomes have been assessed. Primary endpoint was the overall impact of COVID-19 on oncological and hematological treatment strategy assessed at 1, 3, 6 and 12 months. Results: At the time of the analysis, 423 patients (median age: 62 years) were found positive for SARS-CoV-2 and managed at GR with a median follow up of 5.6 months (0-13 months). Among them, 284 (67%) were admitted due to COVID-19. Clinical deterioration occurred in 87 patients (21%), 43 patients (10%) were transferred in intensive care unit and 123 (29%) patients died, among which 47 (11%) died from COVID-19. Overall, 329 (78%) patients were on active treatment for underlying oncohematological disease at time of COVID diagnosis. Impact of COVID-19 on cancer treatment strategy in those patients is presented in the Table. The majority (N=268, 81%) had no change in oncological strategy. For those who experienced a delay, median delay in treatment was 21 days (N=99, [1-77]), 30 days (N=15, [15-56]), 7 days (N=8,[3-35]) for systemic treatment, surgery and radiotherapy respectively. [Formula presented] Conclusions: COVID-19 outbreak is associated with a significant mortality in patients with cancer. However, for patients who did not die from COVID-19, we provide the first report supporting that ongoing treatment was maintained or could be resumed in the majority of cases in a timely manner. Legal entity responsible for the study: Gustave Roussy. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

Sustained cancer clinical trial activity during the COVID-19 pandemic

Background: The COVID-19 pandemic deeply threatens the rigorous conduct of clinical trials, notably by delaying site initiation visits, patient enrolment, treatment administration, trial-associated procedures, and data monitoring. Unlike most other medical specialties, clinical trials are an integral part of patient care in oncology. Limiting access to clinical trials therefore results in a loss of chance for patients. Methods: In this retrospective single-center study, we collected clinical trial-specific items (including patient-related or trial management-related items) during the first pandemic wave (March– June 2020) and lockdown (March 17th-May 11th) at Gustave Roussy, and compared them to those of the same period in 2019. Results: In March 2020, 84 phase I (P1) and 210 phase II/III (P2/3) trials were open. During the first pandemic wave, 21 (25%) P1 and 20 (9%) P2/3 trials were temporarily halted, following a unilateral sponsor decision in virtually all cases;all but one were industry-sponsored. Despite this, all important metrics of the P1/2 trial activity remained similar to those of 2019, including the number of patients referred for inclusion (599 vs 620), inclusion consultations (215 vs 247), patients starting treatment (130 vs 130), Internal Review Board (IRB) submissions (14 vs 16), and site initiation visits (11 vs 15), all in 2020 vs 2019, respectively. The impact of the first lock-down was more marked on P2/3, with 152 patient inclusions (vs 346 in 2019), 125 randomizations (vs 278), 43 IRB submissions (vs 50) and 34 site initiation visits (vs 40). However, in parallel, 475 patients were included in three “COVID and cancer” trials. Among the 443 P1 and 2851 P2/3 patients, 198 and 628 COVID-19 PCR were performed internally, and five and 15 (2.5%) were positive, respectively. One patient with a community-based COVID-19 died after transfer in intensive care. Conclusions: Cancer clinical trials can, and must be maintained despite challenges brought by COVID-19. Sharing experiences and retrospectively evaluating the impact on patients’ safety and cancer-related outcomes will be critical to durably improve the clinical trials conduct and to anticipate at best challenges brought by future similar crises. Legal entity responsible for the study: Gustave Roussy. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

Comparing the outcome of COVID-19 in cancer and non-cancer patients: An international multicenter study

Background: Our objective was to describe the clinical course, risk factors and outcomes of patients infected with COVID-19 around the globe comparing cancer to non-cancer patients. Methods: We conducted a retrospective cohort study of COVID-19 confirmed cases through an international multicenter collaboration including 17 centers around the world including the United States of America, Brazil, Europe, Far East, Middle East and Australia from January to date. We evaluated the patients' clinical characteristics, clinical course of the disease, hospitalization and outcome. Death was considered to be COVID-associated if it occurred within 30 days from the time of diagnosis. Results: Preliminary data on 571 patients included 186 cancer patients and 385 non-cancer patients. Cancer patients were more likely to have COPD and received steroids but were less likely to have COVID-related symptoms compared to non-cancer patients (84% vs 97%, p< 0.0001). The rate of pneumonia with hypoxia, non-invasive ventilation and mechanical ventilation were similar in both groups. Despite the fact that hospital admissions were significantly higher in non-cancer patients (70% vs 56%, p< 0.001), promising antiviral and immune-related therapy including remdesivir, convalescent plasma and immunomodulators were more commonly used in cancer patients compared to non-cancer patients (P=0.04). Cancer patients had a higher COVIDassociated mortality rate compared to non-cancer patients (20% vs 11%, p=0.006). Conclusion: Despite the fact that cancer patients received more frequent antiviral and immune-related therapy, the mortality rate among cancer patients was significantly higher than non-cancer patients.

Outcome of older cancer patientsinfected with Covid19 at Gustave Roussy Cancer Center

Background: The SARS-CoV-2 outbreak in Paris's region significantly affected Gustave Roussy Cancer Center.Previous analyses showed that mortality rate increases with age in the general population. Here, we report theGustave Roussy experience on older patients (OP) with cancer during the SARS-CoV-2 outbreak. Methods: Cancer pts with suspected SARS-CoV-2 infection were admitted at Gustave Roussy starting March 12th.Screening indications have been adapted over the time. All the COVID19 pts positively tested and managed atGustave Roussy between March 14th (1st positive case) and April 15th have been included in a REDCap database.Pts and underlying oncologic and COVID19 diseases characteristics have been collected. Cancer and COVID-19managements and outcomes have been assessed. The primary endpoint of this analysis was the clinicaldeterioration, defined as the need for O2 supplementation of 6l/min, or death of any cause. Results: Among the first 137 cancer pts diagnosed with SARS-CoV-2, 36 patients were aged 70 years (26%). Mostof them were female (61%) with a median age of 75.5 years old. Most frequent underlying cancers were solidtumors (92%) including GI (19%), lung (17%), GYN (14%), and head and neck (14%). Most OP (36%) were ECOGperformance status 2 versus 24% in younger patients (YP). The diagnosis of SARS-CoV-2 infection was made byRT-PCR or thoracic CT scan alone in 97% and 3% of the cases, respectively, in OP and in 92% and 8% in YP. MostOP experienced symptoms prior to testing (92%) compared to YP (80%). Symptoms differed according to age withmore cough with sputum production in OP (14% versus 5%), dyspnea (39% versus 31%), diarrhea (17% versus9%), shivers (8% versus 0%), sore throat (8% versus 4%), and no anosmia or agueusia. The majority of OP werehospitalized (81%) compared to 72% of YP and treated with HCQ/AZI (15;52%) with inclusion in the ONCOVID trial(EudraCT: 2020-01250-21) compared to 25 (35%) YP. They did not receive any IL-6 inhibitor. Only one OP wasadmitted in the ICU (3%). Clinical deterioration occurred in 10 OP (29%). There was no impact of age on clinicalworsening (HR=1.157;95%CI 0.55-2.42;p=0.7). However, age was associated with worse overall survival (OS)(HR=2.45 95%CI 1.02-5.92 ;p=0.0463). Results will be updated at the meeting. Conclusions: OP with cancer had a different disease presentation, same rate of clinical worsening, but worse OSin SARS-CoV-2 infection.

Outcome of older cancer patients infected with COVID-19 at Gustave Roussy Cancer Center

Background: The SARS-CoV-2 outbreak significantly affected Gustave Roussy cancer center. Here, we report the Gustave Roussy experience on older patients (OP) with cancer during the SARS-CoV-2 outbreak. Methods: Cancer pts with suspected SARS-CoV-2 infection were admitted at Gustave Roussy starting March, 12th. Screening indications have been adapted over time. All the COVID-19 pts positively tested and managed at Gustave Roussy between March 14th and April 15th have been included in a redcap database. Pts and underlying oncological and COVID-19 diseases characteristics have been collected. Cancer and COVID-19 managements, and outcomes have been assessed. The primary endpoint of this analysis was the clinical deterioration, defined as the need for O2 supplementation of 6l/min or more, or death of any cause. Results: Among the first 137 cancer pts diagnosed with SARS-CoV-2, 36 patients were aged 70 years old or over (26%). Most of them were female (61%) with a median age of 75.5 years old. Most frequent underlying cancers were solid tumors (92%) including GI (19%), lung (17%), GYN (14%) and head and neck (14%). Most OP (36%) were ECOG Performans status 2 versus 24% in younger patients (YP). The diagnosis of SARS-CoV-2 infection was made by RT-PCR or thoracic CT scan alone in 97% and 3% of the cases, respectively in OP and in 92% and 8% in YP. Most OP experienced symptoms prior to testing (92%) compared to YP (80%). Symptoms differed according to age with more cough with sputum production in OP (14% versus 5%), dyspnea (39% versus 31%), diarrhea (17% versus 9%), shivers (8% versus 0%), sore throat (8% versus 4%) and no anosmia nor agueusia. The majority of OP was hospitalized (81%) compared to 72% of YP and treated with HCQ/AZI (15;52%) compared to 25 (35%) YP with inclusion in the ONCOVID trial (EudraCT: 2020-01250-21). They did not receive any IL-6 inhibitor. Only one OP was admitted in the ICU (3%). Clinical deterioration occurred in 10 OP (29%). There was no impact of age on clinical worsening (HR=1.157;95%CI 0.55-2.42;p=0.7). However age was associated with worse overall survival (OS) (HR=2.45 95%CI 1.02-5.92;p=0.0463). Results will be updated at the meeting. Conclusions: OP with cancer had a different disease presentation, same rate of clinical worsening but worse OS in SARS-CoV-2 infection. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.