Efficacy of Auricular Acupuncture in Chemotherapy-Induced Peripheral Neuropathy: A Case Series of 73 Cases.

Background: Chemotherapy-induced peripheral neuropathy (CIPN) can adversely affect completion of systemic anticancer treatment and cause long-term morbidity. To date, its physiopathology remains unclear, and treatments are rare and poorly performed. Auricular acupuncture has already offered interesting results in several symptoms. Objective: This study (AACIPN2020) assessed the efficacy of auriculotherapy in CIPN. Design: We used patients' systematically collected data of 2014-2016 in a medical oncology practice. The treatment was made according to guidelines of the interuniversity diploma and the cartography of the World Health Organization. Pain assessment according to the Common Terminology Criteria for Adverse Event scale was orally collected. Results: Seventy-three cancer patients were treated for CIPN. They had finished chemotherapy 24 weeks prior on average. They received on average 23 punctures at each appointment. Sixty-five percent of patients met satisfaction, with 31% with a real impact on their daily life. Efficacy appeared after one or two treatments for 96% of cases. Some patients continued treatment to maximize benefits. Conclusions: Auricular acupuncture is a safe and inexpensive method of CIPN treatment. It may be applied earlier in chemotherapy administration, and in a large variety of other symptoms. Clinical trial registration number: COS RGDS 2019 09 001.

Quality of palliative care in identified palliative care beds.

BACKGROUND: Dedicated identified palliative care beds (IPCB) are unique to France. AIMS: This study aimed to assess their use and advantages in a medical oncology department of a private provincial hospital. FINDINGS: Of the last 100 patients who died in the medical oncology department, 57 had an IPCB. Those with an IPCB had a longer final hospital stay and significant advantages for them were access to pain evaluation by nurses and professional psychological support. Opioid use was higher, but not significantly so. There were no significant differences for the presence of close relatives, physiotherapy interventions, social workers or specific anti-cancer treatment in the last 15 days of life. CONCLUSION: This study shows some advantages for IPCB (treatment of pain, psychologist), which should be further explored. The length of the final hospital stay is controversial.

Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study.

OBJECTIVE: Diagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. However, additional prognostic markers could be detected on pathological slides using artificial intelligence tools. DESIGN: We have developed a software to detect colon tumour, healthy mucosa, stroma and immune cells on CD3 and CD8 stained slides. The lymphocyte density and surface area were quantified automatically in the tumour core (TC) and invasive margin (IM). Using a LASSO algorithm, DGMate (DiGital tuMor pArameTErs), we detected digital parameters within the tumour cells related to patient outcomes. RESULTS: Within the dataset of 1018 patients, we observed that a poorer relapse-free survival (RFS) was associated with high IM stromal area (HR 5.65; 95% CI 2.34 to 13.67; p<0.0001) and high DGMate (HR 2.72; 95% CI 1.92 to 3.85; p<0.001). Higher CD3+ TC, CD3+ IM and CD8+ TC densities were significantly associated with a longer RFS. Analysis of variance showed that CD3+ TC yielded a similar prognostic value to the classical CD3/CD8 Immunoscore (p=0.44). A combination of the IM stromal area, DGMate and CD3, designated 'DGMuneS', outperformed Immunoscore when used in estimating patients' prognosis (C-index=0.601 vs 0.578, p=0.04) and was independently associated with patient outcomes following Cox multivariate analysis. A predictive nomogram based on DGMuneS and clinical variables identified a group of patients with less than 10% relapse risk and another group with a 50% relapse risk. CONCLUSION: These findings suggest that artificial intelligence can potentially improve patient care by assisting pathologists in better defining stage III colon cancer patients' prognosis.

Successfully treatment by eribulin in visceral crisis: a case of lymphangitic carcinomatosis from metastatic breast cancer.

BACKGROUND: Metastatic breast cancer (MBC) rest an incurably disease associated with bad prognosis and a median overall survival of 23-31 months. There are several treatment options including chemotherapy and sometimes endocrine therapy. Currently, there is no standard treatment for patients with MBC who have already benefited from anthracyclines and taxanes therapy. Many drugs like capecitabine, eribulin, gemcitabine, vinorelbin and liposomal doxorubicin are conventionally used as monotherapy. One important complication from MBC is life threating visceral crisis that needs a fast-effective treatment. CASE PRESENTATION: We report here a case of an evolution of metastatic breast cancer with lymphangitic carcinomatosis after taxane based chemotherapy and endocrine therapy. This 37-year-old woman was referred to our hospital with complaints of dyspnea and dry cough. There was clinical concern for visceral crisis and a chemotherapy with eribulin was initiated. Pulmonary lymphangitic carcinomatosis disappeared and the patient achieved a good partial response. CONCLUSION: We reported a case of rapid, positive treatment response using eribulin on metastatic breast cancer with visceral crisis and we could quoted others. Therefore, eribulin may be an appropriate chemotherapeutic option in instances requiring rapid symptom control.

In situ immune response after neoadjuvant chemotherapy for breast cancer predicts survival.

Accumulating preclinical evidence suggests that anticancer immune responses contribute to the success of chemotherapy. However, the predictive value of tumour-infiltrating lymphocytes after neoadjuvant chemotherapy for breast cancer remains unknown. We hypothesized that the nature of the immune infiltrate following neoadjuvant chemotherapy would predict patient survival. In a series of 111 consecutive HER2- and a series of 51 non-HER2-overexpressing breast cancer patients treated by neoadjuvant chemotherapy, we studied by immunohistochemistry tumour infiltration by FOXP3 and CD8 T lymphocytes before and after chemotherapy. Kaplan-Meier analysis and Cox modelling were used to assess relapse-free survival (RFS) and overall survival (OS). A predictive scoring system using American Joint Committee on Cancer (AJCC) pathological staging and immunological markers was created. Association of high CD8 and low FOXP3 cell infiltrates after chemotherapy was significantly associated with improved RFS (p = 0.02) and OS (p = 0.002), and outperformed classical predictive factors in multivariate analysis. A combined score associating CD8/FOXP3 ratio and pathological AJCC staging isolated a subgroup of patients with a long-term overall survival of 100%. Importantly, this score also identified patients with a favourable prognosis in an independent cohort of HER2-negative breast cancer patients. These results suggest that immunological CD8 and FOXP3 cell infiltrate after treatment is an independent predictive factor of survival in breast cancer patients treated with neoadjuvant chemotherapy and provides new insights into the role of the immune milieu and cancer.