Evidence map›Paper›PMID 29357823›Full record

ArticleBMC cancer2018

Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer.

Timothy O'Donnell, Elizabeth L Christie, Arun Ahuja, Jacqueline Buros, B Arman Aksoy, David D L Bowtell, Alexandra Snyder, Jeff Hammerbacher

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Engineering neoantigen vaccines to improve cancer personalized immunotherapy.International journal of biological sciences · 2022
    Review
  10. Review
  11. Article
  12. Targeting the spectrum of immune checkpoints in prostate cancer.Expert review of clinical pharmacology · 2021
    Review
  13. Observational
  14. Article
  15. Absence of Non-Canonical, InhibitoryFrontiers in immunology · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

8 authors at 4 institutions in 2 countries.

Timothy O'DonnellIcahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-9949-069X
Elizabeth L ChristiePeter MacCallum Cancer Centre, East Melbourne, Victoria, 3002, Australia.
Arun AhujaIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Jacqueline BurosIcahn School of Medicine at Mount Sinai, New York, NY, USA.
B Arman AksoyIcahn School of Medicine at Mount Sinai, New York, NY, USA.
David D L BowtellPeter MacCallum Cancer Centre, East Melbourne, Victoria, 3002, Australia.
Alexandra SnyderDepartment of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Jeff HammerbacherIcahn School of Medicine at Mount Sinai, New York, NY, USA. correspondence@hammerlab.org.
Icahn School of Medicine at Mount Sinai · USPeter MacCallum Cancer Centre · AUMedical University of South Carolina · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundPatients with highly mutated tumors, such as melanoma or smoking-related lung cancer, have higher rates of response to immune checkpoint blockade therapy, perhaps due to increased neoantigen expression. Many chemotherapies including platinum compounds are known to be mutagenic, but the impact of standard treatment protocols on mutational burden and resulting neoantigen expression in most human cancers is unknown.

methodsWe sought to quantify the effect of chemotherapy treatment on computationally predicted neoantigen expression for high grade serous ovarian carcinoma patients enrolled in the Australian Ovarian Cancer Study. In this series, 35 of 114 samples were collected after exposure to chemotherapy; 14 are matched with an untreated sample from the same patient. Our approach integrates whole genome and RNA sequencing of bulk tumor samples with class I MHC binding prediction and mutational signatures extracted from studies of chemotherapy-exposed Caenorhabditis elegans and Gallus gallus cells. We additionally investigated the relationship between neoantigens, tumor infiltrating immune cells estimated from RNA-seq with CIBERSORT, and patient survival.

resultsGreater neoantigen burden and CD8+ T cell infiltration in primary, pre-treatment samples were independently associated with improved survival. Relapse samples collected after chemotherapy harbored a median of 78% more expressed neoantigens than untreated primary samples, a figure that combines the effects of chemotherapy and other processes operative during relapse. The contribution from chemotherapy-associated signatures was small, accounting for a mean of 5% (range 0-16) of the expressed neoantigen burden in relapse samples. In both treated and untreated samples, most neoantigens were attributed to COSMIC Signature (3), associated with BRCA disruption, Signature (1), associated with a slow mutagenic process active in healthy tissue, and Signature (8), of unknown etiology.

conclusionRelapsed ovarian cancers harbor more predicted neoantigens than primary tumors, but the increase is due to pre-existing mutational processes, not mutagenesis from chemotherapy.

Indexed as

AgedAnimalsAntigens, NeoplasmCaenorhabditis elegansCD8-Positive T-LymphocytesChickensFemaleGene Expression Regulation, NeoplasticGenomeHigh-Throughput Nucleotide SequencingHumansMacrophagesMiddle AgedMutationNeoplasm Recurrence, LocalNeoplastic Stem CellsAntigens, NeoplasmPlatinumChemotherapyMutational signatureNeoantigen

Identifiers

PMID29357823
PMCPMC5778667
OpenAlexW2952417505

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.