PubHawk
Genome Med April 2017 PMID 28420421

Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

Zachary R Chalmers, Caitlin F Connelly, David Fabrizio, Laurie Gay, Siraj M Ali, Riley Ennis, Alexa Schrock, Brittany Campbell, Adam Shlien, Juliann Chmielecki, Franklin Huang, Yuting He, James Sun, Uri Tabori, Mark Kennedy

Download social card

Mentions

23
Peak: 3 in Jun 2020
across 5 sources since Jun 2020

Extended reach

31,419
potential audience

Total likes

9

Video views

44

Mentions per month

Jun 2020 – Sep 2023

Where it's discussed

  • Facebook6 posts
  • News6 articles
  • X / Twitter5 posts
  • YouTube3 videos
  • Blogs3 articles

AI synopsis

What people are saying

The group discusses the concordance between different testing approaches and emphasizes the significance of these genomic profiling methods, using terms like 'good concordance' and referencing prior publications. The tone suggests that some users grapple with understanding specific implications, while others recognize the potential for enhancing cancer diagnosis and treatment personalization.

AgreementNeither agree nor disagree

The discussions reflect a mixed level of agreement; some recognize the technical validity while others express confusion or limited understanding.

InterestModerate interest

While there's some curiosity about the technical details, overall engagement is modest, with some posts showing interest based on specific data points.

EngagementModerate engagement

Participants reference technical aspects like concordance between methods and prior studies, indicating they are engaging with the research details.

ImpactModerate impact

The discussions highlight the importance of the findings for understanding tumor mutational burden and guiding treatment, signifying moderate impact sentiments.

Abstract in brief

  • This study analyzed 100,000 human cancer genomes to understand tumor mutational burden (TMB), a biomarker that predicts patients' response to certain immunotherapies, and found that targeted genomic profiling can accurately measure TMB comparable to whole exome sequencing.
  • The research revealed that high TMB occurs across various cancer types, including rare ones, and tends to increase with age, with significant associations identified between TMB and specific genetic mutations, such as alterations in the PMS2 gene's promoter region.
  • The findings suggest that a relatively small targeted genomic test focusing on 11 million base pairs can effectively identify patients with high TMB, which could help personalize immunotherapy treatments and improve cancer care.
Read the full abstract

Top posts

Most liked on X and Bluesky
Amit Kulkarni
@AmitKulkarniMD · X

First they showed a good concordance between #TMB determined by whole-exome approach and the #FoundationOne panel (https://t.co/iptshAJJKN) https://t.co/FQpXqkiCPe

Jun 19, 2020 · 3 likes · 1 share · 1,239 followers View post →
Brian Alexander
@xelamb · X

Also a prior publication from @BostonGenomics and crew here: https://t.co/SqrGiN1DTS

Jun 17, 2020 · 3 likes · 1 share · 1,001 followers View post →
レ点
@m0370 · X

この10万人解析のDiscussionに理由が載ってるかと思って読み直したけど、書いてそうで書いてない https://t.co/BVTp8pKvWp

Nov 14, 2021 · 2 likes · 28,755 followers View post →
Joakim Crona, MD
@CronaJoakim · X

0% of 50 SI-NETs and 1,7% of pancreatic NEC had >20mut/Mb. https://t.co/zSLC49yefp 3.6% of 193 NETs had TMB high https://t.co/MrM0tZWmEC What do I miss because I do not understand this @myesmo recommendation⁉️ @FAndreMD

Aug 27, 2020 · 1 like · 240 followers View post →

All mentions

レ点
@m0370 · X

この10万人解析のDiscussionに理由が載ってるかと思って読み直したけど、書いてそうで書いてない https://t.co/BVTp8pKvWp

Nov 14, 2021 · 2 likes · 28,755 followers View post →
Joakim Crona, MD
@CronaJoakim · X

0% of 50 SI-NETs and 1,7% of pancreatic NEC had >20mut/Mb. https://t.co/zSLC49yefp 3.6% of 193 NETs had TMB high https://t.co/MrM0tZWmEC What do I miss because I do not understand this @myesmo recommendation⁉️ @FAndreMD

Aug 27, 2020 · 1 like · 240 followers View post →
Amit Kulkarni
@AmitKulkarniMD · X

First they showed a good concordance between #TMB determined by whole-exome approach and the #FoundationOne panel (https://t.co/iptshAJJKN) https://t.co/FQpXqkiCPe

Jun 19, 2020 · 3 likes · 1 share · 1,239 followers View post →
Dexter Jin
@DX_Jin · X

RT @xelamb: Also a prior publication from @BostonGenomics and crew here: https://t.co/SqrGiN1DTS

Jun 17, 2020 · 1 share · 136 followers View post →
Brian Alexander
@xelamb · X

Also a prior publication from @BostonGenomics and crew here: https://t.co/SqrGiN1DTS

Jun 17, 2020 · 3 likes · 1 share · 1,001 followers View post →