Nonia Pariente<p>A new Collection on <a href="https://fediscience.org/tags/cancer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cancer</span></a> is out <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span>! We delve into how <a href="https://fediscience.org/tags/omics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>omics</span></a> technologies are helping researchers understand the <a href="https://fediscience.org/tags/tumor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tumor</span></a> <a href="https://fediscience.org/tags/microenvironment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microenvironment</span></a> (TME)</p><p>Edited by Yibin Kang, who wrote a great Editorial to frame the Collection, this group of Essays and Perspectives covers topics as diverse as:</p><p>- mutual plasticity of <a href="https://fediscience.org/tags/cancer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cancer</span></a> & immune cells in the <a href="https://fediscience.org/tags/TME" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TME</span></a> & why its relevance in therapy<br>- metabolic crosstalk between cancer and T cells, and how to leverage it to reprogram anti-tumor immune responses<br>- the potential of defining the 3D tumor neural niche using spatial omics & <a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> technologies to identify new targeted therapy opportunities<br>- evolutionary selection operating across levels in cancer, highlighting how this understanding can be used to improve prevention and treatment<br>- mathematical models as tools for exploring the complex interplay between <a href="https://fediscience.org/tags/cancer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cancer</span></a> cells and their environment, and the role of AI in leading the way towards the next wave of tumor models<br>- how <a href="https://fediscience.org/tags/MultiOmics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultiOmics</span></a> data be leveraged to help cancer patients<br>- how single-cell technologies can help understand cancer metastatic niches and inform novel therapies<br>- a call for better preclinical models and improved understanding of stromal cell function in the TME</p><p>Senior cancer editor <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span>, Richard Hodge, discusses his vision for cancer biology at the journal in an accompanying Biologue post. </p><p>Take a look at let us know what you think!</p><p><a href="https://plos.io/4mgHDEw" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/4mgHDEw</span><span class="invisible"></span></a></p>