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Neoadjuvant combination immunotherapy improves outcomes for early stage non-small cell lung cancer
The first randomized Phase II clinical trial to report on single and combined neoadjuvant immune checkpoint inhibitor therapy in stage I-III non-small cell lung cancer (NSCLC) found combination therapy produced a significant clinical benefit, as assessed by major pathologic response (MPR) rate, as well as enhanced tumor immune cell infiltration and immunological memory. Researchers from The University of Texas MD Anderson Cancer Center published the study results today in Nature Medicine.
The NEOSTAR trial tested combined neoadjuvant therapy of nivolumab plus ipilimumab, as well as neoadjuvant nivolumab monotherapy in patients with operable NSCLC. The trial met its prespecified primary endpoint efficacy threshold in the combination arm, with eight of 21 treated patients (38%) achieving major pathological response, defined as ≤10% viable tumor at surgery. MPR has been show
In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from the University of Texas MD Anderson Cancer
Washington [US], January 19 (ANI): In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from the University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples.
Credit: MD Anderson Cancer Center
HOUSTON In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from The University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples. The work was published today in
Nature Biotechnology.
The new tool, dubbed CopyKAT (copy number karyotyping of aneuploid tumors), allows researchers to more easily examine the complex data obtained from large single-cell RNA-sequencing experiments, which deliver gene expression data from many thousands of individual cells.
CopyKAT uses that gene expression data to look for aneuploidy, or the presence of abnormal chromosome numbers, which is common in most cancers, said study senior author Nicholas Navin, Ph.D., associate professor of Genetics and Bioinformatics & Computational Biology. The tool also helps to i