Evidence map›Paper›PMID 35371621›Full record

ArticleOncoimmunology2022

Serial changes in liquid biopsy-derived variant allele frequency predict immune checkpoint inhibitor responsiveness in the pan-cancer setting.

Shumei Kato, Bing Li, Jacob J Adashek, Seong Won Cha, Daniella Bianchi-Frias, Dajun Qian, Lisa Kim, Tiffany W So, Marcus Mitchell, Naoki Kamei and 7 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. ctDNA Analysis in ERBB2-Amplified Colorectal Cancer: Biomarker Analysis of the MyPathway Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Liquid biopsy: current technology and clinical applications.Journal of hematology & oncology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

Shumei KatoCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Bing LiAmbry Genetics, Aliso Viejo, CA, USA.
Jacob J AdashekDepartment of Internal Medicine, University of South Florida, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Seong Won ChaAmbry Genetics, Aliso Viejo, CA, USA.
Daniella Bianchi-FriasAmbry Genetics, Aliso Viejo, CA, USA.
Dajun QianAmbry Genetics, Aliso Viejo, CA, USA.
Lisa KimCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Tiffany W SoCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Marcus MitchellCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Naoki KameiBio Advanced Technology Division, Corporate R&D Headquarters, Konica Minolta, Inc, Tokyo, Japan.
Robert HoinessAmbry Genetics, Aliso Viejo, CA, USA.
Jayne HooAmbry Genetics, Aliso Viejo, CA, USA.
Phillip N GrayAmbry Genetics, Aliso Viejo, CA, USA.
Teruaki IyamaBio Advanced Technology Division, Corporate R&D Headquarters, Konica Minolta, Inc, Tokyo, Japan.
Masahide KashiwagiBio Advanced Technology Division, Corporate R&D Headquarters, Konica Minolta, Inc, Tokyo, Japan.
Hsiao-Mei LuAmbry Genetics, Aliso Viejo, CA, USA.
Razelle KurzrockCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Ambry Genetics (United States) · USUC San Diego Health System · USKonica Minolta (United States) · USMoores Cancer CenterUniversity of South Florida · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100
6 · The paper itself

Abstract

Major immunotherapy challenges include a limited number of predictive biomarkers and the unusual imaging features post-therapy, such as pseudo-progression, which denote immune infiltrate-mediated tumor enlargement. Such phenomena confound clinical decision-making, since the cancer may eventually regress, and the patient should stay on treatment. We prospectively evaluated serial, blood-derived cell-free DNA (cfDNA) (baseline and 2-3 weeks post-immune checkpoint inhibitors [ICIs]) for variant allele frequency (VAF) and blood tumor mutation burden (bTMB) changes (next-generation sequencing) (N = 84 evaluable patients, diverse cancers). Low vs. high cfDNA-derived average adjusted ΔVAF (calculated by a machine-learning model) was an independent predictor of higher clinical benefit rate (stable disease ≥6 months/complete/partial response) (69.2% vs. 22.5%), and longer median progression-free (10.1 vs. 2.25 months) and overall survival (not reached vs. 6.1 months) (all

Indexed as

Immune Checkpoint InhibitorsNeoplasmsGene FrequencyHumansLiquid BiopsyMutationImmune Checkpoint InhibitorscancerImmune checkpoint inhibitorliquid biopsyresponse

Identifiers

PMID35371621
PMCPMC8966985
OpenAlexW4221059798

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.