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The tumour stroma regulates nearly all stages of carcinogenesis. Stromal heterogeneity in human triple-negative breast cancers (TNBCs) remains poorly understood, limiting the development of stromal-targeted therapies. Single-cell RNA sequencing of five TNBCs revealed two cancer-associated fibroblast (CAF) and two perivascular-like (PVL) subpopulations. CAFs clustered into two states: the first with features of myofibroblasts and the second characterised by high expression of growth factors and immunomodulatory molecules. PVL cells clustered into two states consistent with a differentiated and immature phenotype. We showed that these stromal states have distinct morphologies, spatial relationships and functional properties in regulating the extracellular matrix. Using cell signalling predictions, we provide evidence that stromal-immune crosstalk acts via a diverse array of immunoregulatory molecules. Importantly, the investigation of gene signatures from inflammatory-CAFs and differentiated-PVL cells in independent TNBC patient cohorts revealed strong associations with cytotoxic T-cell dysfunction and exclusion, respectively. Such insights present promising candidates to further investigate for new therapeutic strategies in the treatment of TNBCs.

Purpose Fear of cancer recurrence (FCR) is prevalent, distressing, and long lasting. This study evaluated the impact of a theoretically/empirically based intervention (ConquerFear) on FCR. Methods Eligible survivors had curable breast or colorectal cancer or melanoma, had completed treatment (not including endocrine therapy) 2 months to 5 years previously, were age > 18 years, and had scores above the clinical cutoff on the FCR Inventory (FCRI) severity subscale at screening. Participants were randomly assigned at a one-to-one ratio to either five face-to-face sessions of ConquerFear (attention training, metacognitions, acceptance/mindfulness, screening behavior, and values-based goal setting) or an attention control (Taking-it-Easy relaxation therapy). Participants completed questionnaires at baseline (T0), immediately post-therapy (T1), and 3 (T2) and 6 months (T3) later. The primary outcome was FCRI total score. Results Of 704 potentially eligible survivors from 17 sites and two online databases, 533 were contactable, of whom 222 (42%) consented; 121 were randomly assigned to intervention and 101 to control. Study arms were equivalent at baseline on all measured characteristics. ConquerFear participants had clinically and statistically greater improvements than control participants from T0 to T1 on FCRI total ( P < .001) and severity subscale scores ( P = .001), which were maintained at T2 ( P = .017 and P = .023, respectively) and, for FCRI total only, at T3 ( P = .018), and from T0 to T1 on three FCRI subscales (coping, psychological distress, and triggers) as well as in general anxiety, cancer-specific distress (total), and mental quality of life and metacognitions (total). Differences in FCRI psychological distress and cancer-specific distress (total) remained significantly different at T3. Conclusion This randomized trial demonstrated efficacy of ConquerFear compared with attention control (Taking-it-Easy) in reduction of FCRI total scores immediately post-therapy and 3 and 6 months later and in many secondary outcomes immediately post-therapy. Cancer-specific distress (total) remained more improved at 3- and 6-month follow-up.

Accurately identifying patients with high-grade serous ovarian carcinoma (HGSOC) who respond to poly(ADP-ribose) polymerase inhibitor (PARPi) therapy is of great clinical importance. Here we show that quantitative BRCA1 methylation analysis provides new insight into PARPi response in preclinical models and ovarian cancer patients. The response of 12 HGSOC patient-derived xenografts (PDX) to the PARPi rucaparib was assessed, with variable dose-dependent responses observed in chemo-naive BRCA1/2-mutated PDX, and no responses in PDX lacking DNA repair pathway defects. Among BRCA1-methylated PDX, silencing of all BRCA1 copies predicts rucaparib response, whilst heterozygous methylation is associated with resistance. Analysis of 21 BRCA1-methylated platinum-sensitive recurrent HGSOC (ARIEL2 Part 1 trial) confirmed that homozygous or hemizygous BRCA1 methylation predicts rucaparib clinical response, and that methylation loss can occur after exposure to chemotherapy. Accordingly, quantitative BRCA1 methylation analysis in a pre-treatment biopsy could allow identification of patients most likely to benefit, and facilitate tailoring of PARPi therapy.