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Purpose There is evidence for mental burden and moral distress among healthcare workers during the pandemic. However, there is scarcity of analyses regarding possible correlations of mental burden and moral distress in this context. This study provides data to quantify mental burden and possible associations with moral distress among physicians and nurses working in oncology in Germany. Methods We conducted a cross-sectional online survey with physicians and nurses working in oncology in Germany between March and July 2021. Next to sociodemographic characteristics and working conditions, mental burden and moral distress were assessed using standardized instruments. Binary multivariate logistic regression using the enter method was performed in order to explore the relationship between mental burden and moral distress. Results 121 physicians and 125 nurses were included in the study. Prevalence of clinically relevant depressive symptoms, anxiety, somatic symptoms, burnout symptoms and moral distress was 19.2, 14.5, 12.7, 46.0 and 34.7% in physicians and 41.4, 24.0, 46.8, 46.6 and 60.0% in nurses respectively. Mental burden was significantly associated with moral distress, being female/diverse, younger age Conclusion To improve pandemic resilience, there is a need to ensure safe working environment including psychosocial support. Further evidence on risk and protective factors for moral distress is needed to be able to develop and implement strategies to protect healthcare workers within and beyond the pandemic.

Nach R0-Resektion eines Kolonkarzinoms im Stadium II und III gemas UICC (Union for International Cancer Control) soll die Indikation zur adjuvanten Therapie gepruft werden. Die Empfehlungen richten sich bislang nach klinischen und histopathologischen Kriterien. Im Stadium II soll die hochgradige Mikrosatelliteninstabilitat (MSI-H) bei der Therapieentscheidung einbezogen werden. Auserdem soll das Risiko fur eine erhohte Toxizitat, wie das Vorliegen von Begleiterkrankungen, eine eingeschrankte Dihydropyrimidindehydrogenase(DPD)-Funktion oder das Alter des Patienten beachtet werden. Immunonkologische Ansatze fur MSI-H-Tumoren oder molekular zielgerichtete Ansatze bei BRAF-mutierten Tumoren werden in lokalisierten Stadien perioperativ in Studien gepruft. Weitere molekulare Parameter, u. a. die zirkulierende Tumor-DNA (ctDNA), werden auf ihre prognostische und pradiktive Wertigkeit hin getestet. Die Gruppe der alteren Patienten wird perspektivisch das groste Kollektiv darstellen und sollte zunehmend beachtet werden.

Background: Different therapeutic options are available for the treatment of advanced or metastatic pancreatic ductal adenocarcinoma (PDAC). Platinum-based multi-agent chemotherapy regimens, such as FOLFIRINOX, are important elements in the multidisciplinary management of PDAC. Summary: At least one third of patients with metastatic PDAC are eligible for treatment with FOLFIRINOX. Eligibility criteria include good performance status and the absence of relevant comorbidities. However, chemotherapies can potentially be associated with serious adverse events, such as diarrhea or polyneuropathies. Here, we review relevant data from first-line, second-line, and maintenance therapy trials as well as real-world data. In addition, we address the management of possible adverse events. Key Messages: (1) Selection of a suitable treatment regime depends on patient performance status, comorbidities, and anticipated toxicity. (2) FOLFIRINOX is an appropriate treatment for patients up to 75 years of age with an ECOG PS of 0 or 1, without relevant comorbidities, normal or nearly normal bilirubin levels, and no significantly reduced DPD activity. (3) In particular, patients with germline BRCA1/2 (gBRCA1/2) or PALB2 mutations may benefit from first-line platinum-containing therapy. (4) Early and comprehensive testing of the patient’s mutational status could support the first-line treatment decision-making.

3626 Background: CRC still is one of the leading causes of cancer related death though prognosis has improved through guideline based management. The COVID-19 pandemic lead to re-allocation of resources subordinating all sections of care for CRC patients. We present data on changes of CRC care during the pandemic from 22 German AIO CC and our high volume Institute of Pathology (pathology). Methods: Data was collected retrospectively comparing the months (mo) of the first wave (fw) (4-6/2020) and second wave (sw) (11-12/2020) of the pandemic with corresponding periods (cp) in 2019 focusing on the number of precancerous (ICD-O/0+2) and malignant (ICD-O/3+6) colorectal lesions (CRL) diagnosed by our pathology, the number/stage of primary diagnoses (PD) and the number of surgeries (surg) at AIO CC. There, quality criteria of CRC care were also assessed (number of PD discussed within a multidisciplinary tumor board (tb), received social service (soc)/ psychological (psy) counseling or recruited into a clinical trial). Statistical analysis was performed using students t-test for paired data. Results: Numbers of CRL detected upon histology (row 1-3), number of cases, surg and quality criteria from AIO CC (row 4-9) are displayed in the table. We saw a dip in diagnosed CRL and number of surg (p=0.007) only during fw, whereas PD dipped significantly in both waves. A significant reduction in diagnosis of stage III CRC was detected for 2019 vs. 2020 (p=0.001), not for other stages. Quality criteria showed a significant reduction in clinical trial inclusion, a small dip in soc/psy counseling and persistently high tb presentation. Conclusions: We detected a significant decrease of premalignant lesions and primary cancers during the first year of the pandemic which may impact cancer mortality in the future. Certified German CC provided CRC care with significant reduction in clinical trial inclusion only, suggesting high stability of established certified cancer care infrastructure.[Table: see text]

In recent years, deep learning has been the key driver of breakthrough developments in computational pathology and other image based approaches that support medical diagnosis and treatment. The underlying neural networks as inherent black boxes lack transparency, and are often accompanied by approaches to explain their output. However, formally defining explainability has been a notorious unsolved riddle. Here, we introduce a hypothesis-based framework for falsifiable explanations of machine learning models. A falsifiable explanation is a hypothesis that connects an intermediate space induced by the model with the sample from which the data originate. We instantiate this framework in a computational pathology setting using label-free infrared microscopy. The intermediate space is an activation map, which is trained with an inductive bias to localize tumor. An explanation is constituted by hypothesizing that activation corresponds to tumor and associated structures, which we validate by histological staining as an independent secondary experiment.

3616 Background: MSI due to mismatch repair defects accounts for 15-20% of all CC, has high prognostic and predictive value and is broadly utilized in treatment decisions. Artificial intelligence (AI) integrated, label-free quantum cascade laser (QCL) based infrared (IR) imaging resolves spatial and molecular alterations such as MSI in unstained cancer tissue sections. We aimed to evaluate the method for microsatellite instability/stability (MSI/MSS) classification in samples from the prospective multicenter AIO CPP registry trial. Methods: Paraffin-embedded unstained cancer tissue slides from patients (pts.) participating in CPP were measured (avg. 30 min/slide) and analyzed. The cohort was split into training (train), test (test), and validation (vali) sets. Cancer regions were first preselected based on a self-developed convolutional neural network (CNN) CompSegNet (Schuhmacher, medrxiv 2021). A VGG-16 CNN then classified MSI/MSS in these regions. Endpoints were area under receiver operating characteristic (AUROC) and area under precision recall curve (AUPRC). Results: 547 pts. (train n=331, test n=69, vali n=147) were analyzed. The baseline characteristics for the sub-cohorts are illustrated in the table. Mutation (MT) status: RAS MT: train 30% / test 30% / vali 37%; BRAF MT: train 27% / test 23% / vali 14%. The preselection of cancer regions reached a validation AUROC of 1.0. The subsequent MSI/MSS classifier reached a validation AUROC of 0.9 and AUPRC of 0.74 (sensitivity 85%, specificity 84%). Conclusions: Our multicenter approach using AI integrated label-free IR imaging provides an automated, fast, and reliable classification for MSI/MSS with an AUROC of 0.9 (sensitivity 85%, specificity 84%) almost comparable to the present gold standard immunohistochemistry. The method described here requires less samples for training when compared to other AI approaches which could facilitate the development of prognostic/predictive classifiers in the setting of randomized controlled trials. This novel technique may support further understanding of the increasingly important MSI CC cohort and support treatment decisions e.g. in specific subgroups such as targetable fusions. We expect our approach to be a broadly applicable diagnostic tool in the future.[Table: see text]

Background : Guidance regarding adjuvant treatment decisions in stage II colorectal cancer (CRC) remains uncertain due to lack of predictive clinical or molecular markers. Recently, postoperative circulating tumour (ct)DNA has been demonstrated to be a strong prognostic marker in early colon cancer. Patients and Methods : CIRCULATE enrols patients with stage II microsatellite stable CRC in Germany (AIO) and Austria (ABCSG). Within the AIO, screening is supported by ColoPredict Plus 2.0, a molecular registry and screening platform for interventional trials. Patient-specific mutations are centrally analysed by next generation sequencing in the resected primary tumour. A postoperative plasma sample subsequently screened for the specific mutation(s). ctDNA positive (ctDNApos) patients are randomised (1:2) to control (follow up) or chemotherapy (capecitabine, oxaliplatin added a investigator's choice). ctDNA negative (ctDNAneg) patients are randomised (1:4) to be followed-up within CIRCULATE (control group) or outside the trial. Patients in the control group remain blinded to the ctDNA results. The primary objective is to compare disease free survival (DFS) of ctDNApos patients with chemotherapy or control. To demonstrate a treatment effect with a hazard ratio of 0.617 (3 year DFS rates 42.5 % vs. 25 %), 231 ctDNApos and estimated 2079 ctDNAneg patients are randomised. Secondary aims include to compare overall survival and DFS in the ctDNApos and ctDNAneg patient cohorts and ctDNA kinetics. Conclusion : The CIRCULATE trial may establish ctDNA for adjuvant treatment decision in stage II colon cancer – and with the secondary objectives – support a ctDNA guided follow up in colon cancer stage II and beyond. Micro Abstract Circulating tumour DNA (ctDNA) is a prognostic biomarker of recurrence in patients with early stage and resected colorectal cancer. The CIRCULATE study evaluates the predictive value of ctDNA with respect to adjuvant treatment in colon cancer stage II. In total, 231 patients with detectable ctDNA (ctDNApos) post resection are randomised 2:1 to chemotherapy or to control (follow-up). Patients without detectable ctDNA (approx. 2079 patients) are randomized 1:4 into control or off-study. The primary endpoint is the disease free survival.

"Allocation of health resources towards the treatment of patients with COVID-19 may affect the quality of care for non-COVID-19 patients. Several medical societies representing cancer health professionals have issued statements on priority setting in cancer care in the wake of the Sars-CoV-2 outbreak (1, 2). However, there is a lack of empirical data on how resources are prioritized in cancer care and which criteria are taken into consideration by those involved in decision making. In this paper we will present findings from qualitative interviews conducted with oncologists in Germany between February and July 2021. Transcripts of interviews are analysed following principles of qualitative content analysis based on Kuckartz (3). According to preliminary analysis of the first five interviews conducted three major topics emerge: 1. Experiences with scarcity regarding selected diagnostic procedures and treatment. 2. Material and procedural criteria for priority setting and decisions on deviations of standards of care. 3. Effects of priority setting on coping and psycho-social support. We will discuss findings with regards to their possible contribution to an empirical and normative founded guidance for priority setting in cancer care in times of Sars-CoV-2 outbreak and comparable events. 1. Deutsche Gesellschaft für Hämatologie und Onkologie. Coronavirus-Infektion (COVID-19) bei Patienten mit Blut- und rebserkrankungen. https://www.onkopedia.com/de/onkopedia/guidelines/coronavirus-infektion-covid-19-bei-patient-innen-mit-blut-und-krebserkrankungen/@@guideline/html/index.html 2. Marron JM, Joffe S, Jagsi R et al. Ethics and Resource Scarcity: ASCO Recommendations for the Oncology Community During the COVID19 Pandemic. J Clin Onc. April 28 2020, doi:10.1200/JCO.20.00960 3. Kuckartz, U. (2018). Qualitative Inhaltsanalyse. Methoden, Praxis, Computer¬unterstützung (4th ed.). Beltz Juventa. "