CD103+CD8+ TRM Cells Accumulate in Tumors of Anti-PD-1-Responder Lung Cancer Patients and Are Tumor-Reactive Lymphocytes Enriched with Tc17.

Accumulation of CD103+CD8+ resident memory T (TRM) cells in human lung tumors has been associated with a favorable prognosis. However, the contribution of TRM to anti-tumor immunity and to the response to immune checkpoint blockade has not been clearly established. Using quantitative multiplex immunofluorescence on cohorts of non-small cell lung cancer patients treated with anti-PD-(L)1, we show that an increased density of CD103+CD8+ lymphocytes in immunotherapy-naive tumors is associated with greatly improved outcomes. The density of CD103+CD8+ cells increases during immunotherapy in most responder, but not in non-responder, patients. CD103+CD8+ cells co-express CD49a and CD69 and display a molecular profile characterized by the expression of PD-1 and CD39. CD103+CD8+ tumor TRM, but not CD103-CD8+ tumor-infiltrating counterparts, express Aiolos, phosphorylated STAT-3, and IL-17; demonstrate enhanced proliferation and cytotoxicity toward autologous cancer cells; and frequently display oligoclonal expansion of TCR-ß clonotypes. These results explain why CD103+CD8+ TRM are associated with better outcomes in anti-PD-(L)1-treated patients.

Rapalog-Mediated Repression of Tribbles Pseudokinase 3 Regulates Pre-mRNA Splicing.

Rapalogs have become standard-of-care in patients with metastatic breast, kidney, and neuroendocrine cancers. Nevertheless, tumor escape occurs after several months in most patients, highlighting the need to understand mechanisms of resistance. Using a panel of cancer cell lines, we show that rapalogs downregulate the putative protein kinase TRIB3 (tribbles pseudokinase 3). Blood samples of a small cohort of patients with cancer treated with rapalogs confirmed downregulation of TRIB3. Downregulation of TRIB3 was mediated by LRRFIP1 independently of mTOR and disrupted its interaction with the spliceosome, where it participated in rapalog-induced deregulation of RNA splicing. Conversely, overexpression of TRIB3 in a panel of cancer cell lines abolished the cytotoxic effects of rapalogs. These findings identify TRIB3 as a key component of the spliceosome, whose repression contributes significantly to the mechanism of resistance to rapalog therapy. SIGNIFICANCE: Independent of mTOR signaling, rapalogs induce cytoxicity by dysregulating spliceosome function via repression of TRIB3, the loss of which may, in the long term, contribute to therapeutic resistance.

Multilayer intraclonal heterogeneity in chronic myelomonocytic leukemia.

The functional diversity of cells that compose myeloid malignancies, i.e., the respective roles of genetic and epigenetic heterogeneity in this diversity, remains poorly understood. This question is addressed in chronic myelomonocytic leukemia, a myeloid neoplasm in which clinical diversity contrasts with limited genetic heterogeneity. To generate induced pluripotent stem cell clones, we reprogrammed CD34+ cells collected from a patient with a chronic myelomonocytic leukemia in which whole exome sequencing of peripheral blood monocyte DNA had identified 12 gene mutations, including a mutation in KDM6A and two heterozygous mutations in TET2 in the founding clone and a secondary KRAS(G12D) mutation. CD34+ cells from an age-matched healthy donor were also reprogrammed. We captured a part of the genetic heterogeneity observed in the patient, i.e. we analyzed five clones with two genetic backgrounds, without and with the KRAS(G12D) mutation. Hematopoietic differentiation of these clones recapitulated the main features of the patient's disease, including overproduction of granulomonocytes and dysmegakaryopoiesis. These analyses also disclosed significant discrepancies in the behavior of hematopoietic cells derived from induced pluripotent stem cell clones with similar genetic background, correlating with limited epigenetic changes. These analyses suggest that, beyond the coding mutations, several levels of intraclonal heterogeneity may participate in the yet unexplained clinical heterogeneity of the disease.

Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph.

BACKGROUND: Data volumes generated by next-generation sequencing (NGS) technologies is now a major concern for both data storage and transmission. This triggered the need for more efficient methods than general purpose compression tools, such as the widely used gzip method. RESULTS: We present a novel reference-free method meant to compress data issued from high throughput sequencing technologies. Our approach, implemented in the software LEON, employs techniques derived from existing assembly principles. The method is based on a reference probabilistic de Bruijn Graph, built de novo from the set of reads and stored in a Bloom filter. Each read is encoded as a path in this graph, by memorizing an anchoring kmer and a list of bifurcations. The same probabilistic de Bruijn Graph is used to perform a lossy transformation of the quality scores, which allows to obtain higher compression rates without losing pertinent information for downstream analyses. CONCLUSIONS: LEON was run on various real sequencing datasets (whole genome, exome, RNA-seq or metagenomics). In all cases, LEON showed higher overall compression ratios than state-of-the-art compression software. On a C. elegans whole genome sequencing dataset, LEON divided the original file size by more than 20. LEON is an open source software, distributed under GNU affero GPL License, available for download at http://gatb.inria.fr/software/leon/.