---
title: 'Research Daily Summary: What Happened on October 13, 2026'
headline: Targeted nanoparticles engineer CAR natural killer cells in mice
description: Studies used routine cancer records to track cachexia and spatial transcriptomics
  to map cell recruitment in tumors and mouse heart tissue.
url: https://thebench.bio/news/research/2026-10-13
topic: research
date: '2026-10-13'
covers:
- '2026-10-13'
date_published: '2026-10-13T12:02:59Z'
date_modified: '2026-10-13T12:02:59Z'
tags:
- Industry
- Software
sources: 4
publisher: TheBench.Bio
---

# Research Daily Summary: What Happened on October 13, 2026

**Targeted nanoparticles engineer CAR natural killer cells in mice**

Studies used routine cancer records to track cachexia and spatial transcriptomics to map cell recruitment in tumors and mouse heart tissue.

## Today in brief

Targeted lipid nanoparticles delivered mRNA to natural killer cells in mice, generating CAR-expressing cells that acted in several disease models. [1] An analysis of 52,236 cancer patients linked cachectic weight-loss episodes to disease progression and poorer survival. [2] [3] A separate team used spatial transcriptomics to map cell recruitment across tumors and mouse heart tissue. [4]

## Nanoparticles engineer CAR natural killer cells in mice

Lead nanoparticles transfected up to about 80% of natural killer cells in mice, with few off-target effects. [1] The resulting CAR cells eliminated targeted cells in blood and autoimmune disease models, and produced tumor regression in two humanized blood-cancer models. [1]

## Routine records track cancer cachexia

Researchers analyzed records from 52,236 cancer patients and found that cachectic weight-loss episodes tended to occur near disease progression and were associated with worse survival. [2] [3] A study published October 12 described the same cohort, identified 30,938 episodes and evaluated its models in an independent cohort. [3]

## SPACER maps cell recruitment

SPACER, an interpretable AI framework, was tested on 37 spatial transcriptomics datasets. [4] Across several tasks, it recovered biologically meaningful cell-recruitment signals 4–21 times better than existing methods. [4] Across the cancers studied, local antigen presentation was the strongest correlate of T-cell engagement. [4]

## The day in numbers

- **~80%**: Maximum share of natural killer cells transfected by the lead nanoparticles in mice. [1]
- **52,236**: Cancer patients in the cachexia analysis. [2] [3]
- **37**: Spatial transcriptomics datasets analyzed with SPACER. [4]

## Also published

- [The Biggest Remaining Barriers to High-Quality RWE Across Oncology Data Platforms](<https://www.appliedclinicaltrialsonline.com/view/biggest-remaining-barriers-high-quality-rwe-oncology-data-platforms>), Applied Clinical Trials
- [The winner | BioTechniques Image Competition 2026](<https://www.biotechniques.com/imaging/the-winner-biotechniques-image-competition-2026/>), BioTechniques
- [Yes, vaccines protect against infection, but they do so much more…](<https://www.biotechniques.com/immunology/yes-vaccines-protect-against-infection-but-they-do-so-much-more/>), BioTechniques
- [How to choose lab consumables: A guide to sterility, performance, and sustainability](<https://www.labiotech.eu/partner/lab-consumables-quality-lab-workflows/>), Labiotech

## Sources

1. [In vivo engineering of CAR natural killer cells for immunotherapy using ligand-directed lipid nanoparticles](<https://www.nature.com/articles/s41587-026-03310-1>), Nature Biotechnology, 2026-10-13
2. [Characterizing the onset and progression of cancer cachexia using routine clinical data](<https://www.nature.com/articles/s41591-026-04720-z>), Nature Medicine, 2026-10-13
3. [A health-system-scale, episode-resolved multimodal atlas of cancer cachexia](<https://www.nature.com/articles/s41591-026-04689-9>), Nature Medicine, 2026-10-12
4. [Interpretable AI model reveals spatial codes of cell recruitment in tissues](<https://www.nature.com/articles/s41551-026-01804-6>), Nature Biomedical Engineering, 2026-10-13

---

TheBench.Bio wrote this from the reporting cited above, with a language model drafting and editing.

[1]: <https://www.nature.com/articles/s41587-026-03310-1>
[2]: <https://www.nature.com/articles/s41591-026-04720-z>
[3]: <https://www.nature.com/articles/s41591-026-04689-9>
[4]: <https://www.nature.com/articles/s41551-026-01804-6>
