The results of the study confirm the detrimental effect of CINV on patients' QoL despite the use of antiemetic prophylaxis (5HT(3) receptor antagonist, steroids, and dopamine receptor antagonists). It is mandatory to intensify the detection of CINV in order to improve the management of these important, albeit frequent, side effects of cancer treatments.

Purpose The aim of this project was to review the literature and define clinical practice guidelines for the use of cytokines and growth factor agents for the prevention or treatment of oral mucositis induced by cancer chemotherapy or radiotherapy. Care Cancer (2013) 21:343-355 DOI 10.1007/s00520-012-1594 following three guideline determinations was possible: Recommendation, Suggestion, No guideline possible. Results Sixty-four clinical studies across 11 interventions were evaluated. A recommendation was made for the use of recombinant human KGF-1 (palifermin) at a dose of 60 μg/kg per day for 3 days prior to conditioning treatment and for 3 days post-transplant for prevention of oral mucositis in patients receiving high-dose chemotherapy and total body irradiation followed by autologous stem cell transplantation for hematological malignancies. A suggestion was made against using granulocyte macrophage colony-stimulating factor mouthwash for the prevention of oral mucositis in the setting of high-dose chemotherapy followed by autologous or allogeneic stem cell transplantation. No guideline was possible for any other cytokine or growth factor agents due to inconclusive evidence. Conclusions Of the cytokine and growth factor agents studied for oral mucositis, the evidence only supports use of palifermin in the specific population listed above. Additional welldesigned research is needed on other cytokine and growth factor interventions and in other cancer treatment settings. Methods

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Purpose The phase III VELOUR trial demonstrated efficacy with combined FOLFIRI‐aflibercept in patients with metastatic colorectal cancer previously treated with oxaliplatin with or without bevacizumab versus placebo. The effect of FOLFIRI‐aflibercept in routine clinical practice was evaluated. Methods/Patients Overall survival (OS), progression‐free survival (PFS), response and safety were analysed for 78 patients treated with FOLFIRI‐aflibercept at six GITuD institutions. Exploratory analyses of prognostic and predictive markers of efficacy were performed. Results Patients had good general status (PS 0‐1 96.2%), tumours were mostly RAS‐mutant (75.6%), synchronous (71.8%), and left‐sided (71.8%). Prior therapy included bevacizumab (47.4%) and anti‐EGFR agents (12.8%). PFS was longer for metachronous than synchronous tumours (11.0 vs 5.0 months, P = 0.028), and for left‐colon tumours (7.0 vs 3.0 months, P = 0.044). RAS‐mutant status, first‐line treatment and primary tumour surgery did not impact PFS. The disease control rate was 70.5%. The most common grade 3/4 toxicities were neutropenia (15.3%), asthenia (10.3%), diarrhea and mucositis (6.4% each). Dysphonia was reported in 39.7% of patients, and grade 3 hypertension in 3.8%. Development of hypertension (any grade) was significantly associated with a reduced risk of progression by multivariate analysis (HR = 2.7; 95%CI 1.3‐5.4; P = 0.001). Conclusions Efficacy with FOLFIRI‐aflibercept in a real‐life population was in line with results from the pivotal trial and toxicity was manageable with treatment adaptation. Survival outcomes were not impacted by primary tumour location, RAS‐mutant status, first‐line treatment or primary tumour surgery. Hypertension may be a surrogate marker of efficacy in this patient population.

Background It is encouraging to see a substantial increase in individuals surviving cancer. Even more so since most of them will have a positive effect on society by returning to work. However, many cancer survivors have unmet needs, especially when it comes to improving their quality of life (QoL). Only few survivors are able to meet all of the recommendations regarding well-being and there is a body of evidence that cancer survivors’ needs often remain neglected from health policy and national cancer control plans. This increases the impact of inequalities in cancer care and adds a dangerous component to it. The inequalities affect the individual survivor, their career, along with their relatives and society as a whole. The current study will evaluate the impact of the use of big data analytics and artificial intelligence on the self-efficacy of participants following intervention supported by digital tools. The secondary endpoints include evaluation of the impact of patient trajectories (from retrospective data) and patient gathered health data on prediction and improved intervention against possible secondary disease or negative outcomes (e.g. late toxicities, fatal events). Methods/design The study is designed as a single-case experimental prospective study where each individual serves as its own control group with basal measurements obtained at the recruitment and subsequent measurements performed every 6 months during follow ups. The measurement will involve CASE-cancer, Patient Activation Measure and System Usability Scale. The study will involve 160 survivors (80 survivors of Breast Cancer and 80 survivors of Colorectal Cancer) from four countries, Belgium, Latvia, Slovenia, and Spain. The intervention will be implemented via a digital tool (mHealthApplication), collecting objective biomarkers (vital signs) and subjective biomarkers (PROs) with the support of a (embodied) conversational agent. Additionally, the Clinical Decision Support system (CDSS), including visualization of cohorts and trajectories will enable oncologists to personalize treatment for an efficient care plan and follow-up management. Discussion We expect that cancer survivors will significantly increase their self-efficacy following the personalized intervention supported by the m-HealthApplication compared to control measurements at recruitment. We expect to observe improvement in healthy habits, disease self-management and self-perceived QoL. Trial registration ISRCTN97617326. https://doi.org/10.1186/ISRCTN97617326. Original Registration Date: 26/03/2021.

The most significant factor predicting response to second-line chemotherapy is the time interval elapsed from the end of chemotherapy to relapse occurrence. Two types of situations may be considered: patients with platinum-sensitive relapse (relapse-free interval longer than 6 months) and patients with platinum-refractory relapse (progression during treatment or relapse-free interval under 6 months). Pegylated liposomal doxorubicin is a doxorubicin formulation. Encapsulation in liposomes confers it different pharmacokinetic characteristics and a more favorable toxicity profile. The following review examines the efficacy and safety of pegylated liposomal doxorubicin for the treatment of relapsing epithelial ovarian cancer.

Trifluridine/tipiracil increases overall survival (OS) in patients with refractory, metastatic colorectal cancer (mCRC). A post hoc exploratory analysis of the RECOURSE randomized clinical trial (RCT) established two categories, a good prognosis corresponding to subjects having a low tumor burden and indolent disease. Other models in refractory mCRC are the FAS-CORRECT and Colon Life nomogram. The main objective was to externally validate the prognostic factors of the RECOURSE and FAS-CORRECT trials, and the Colon Life nomogram in a multicenter, real-world series of mCRC treated in 3rd and successive lines with trifluridine/tipiracil. The secondary aim was to develop an OS predictive model, TAS-RECOSMO. Between 2016 and 2019, 244 patients were recruited. Median OS was 8.15 vs 8.12 months for the poor (85% of the subjects) and good (15%) prognosis groups from the RESOURCE trial, respectively, log-rank p = 0.9. The most common grade 3–4 toxicities were neutropenia (17%), asthenia (6%), and anemia (5%). The AFT lognormal model TAS-RECOSMO included six variables: ECOG-PS, KRAS/NRAS/BRAF mutation status, time between diagnosis of metastasis and beginning of trifluridine/tipiracil, NLR, CEA, and alkaline phosphatase. The model’s bootstrapped bias-corrected c-index was 0.682 (95% CI, 0.636–0.722). The factors from the Colon Life model, FAS-CORRECT, and RECOURSE displayed a c-index of 0.690, 0.630, and 0.507, respectively. TAS-RECOSMO, FAS-CORRECT, and the Colon Life nomogram appear to predict OS in patients with refractory mCCR who begin trifluridine/tipiracil treatment in the real world. The prognostic groups of the RECOURCE RCT were unable to capture the situation of real-world subjects treated with trifluridine/tipiracil in this series.

ypT0 cases, the overall survival was 91.1%, not significantly different (P ¼ .25) compared with the remaining group (87.2%). Among ypT0 cases, the relapse-free survival was 94.5%, which was significantly different (P ¼ .03) compared with the remaining group (78.2%). There were no treatment-associated fatalities. Thirty-two patients (10.96%) experienced Grade III/IV toxicities (proctitis, epithelitis, and neutropenia). Conclusion: Tumor localization was identified as a predictive factor for pCR in LARC treated with preoperative chemoradiation. Upper rectal tumors are more likely to develop complete responses. Delay in surgery was identified as a favorable predictive factor for TRG1-3. The relapse-free survival in pCR group was higher compared with non-pCR.