Evidence map›Paper›PMID 35443043›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Improved T-cell Immunity Following Neoadjuvant Chemotherapy in Ovarian Cancer.

Min Liu, Nabihah Tayob, Livius Penter, MacLean Sellars, Anna Tarren, Vipheaviny Chea, Isabel Carulli, Teddy Huang, Shuqiang Li, Su-Chun Cheng and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.4field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

24 authors at 5 institutions in 3 countries.

Min LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-7253-076X
Nabihah TayobDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Livius PenterDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-9060-0207
MacLean SellarsDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Anna TarrenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Vipheaviny CheaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-6592-8710
Isabel CarulliDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-8136-4719
Teddy HuangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Shuqiang LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Su-Chun ChengDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Phuong LeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Laura FrackiewiczDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Julia FasseDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Courtney QiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Joyce F LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Elizabeth H StoverDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-6578-3216
Jennifer CurtisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kenneth J LivakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-9105-5856
Donna NeubergDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2566-3145
Guanglan ZhangDepartment of Computer Science, Metropolitan College, Boston University, Boston, Massachusetts.ORCID 0000-0001-6010-490X
Ursula A MatulonisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-3103-6992
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-3348-5054
Derin B Keskin *Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Panagiotis A Konstantinopoulos *Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-1032-1479
Dana-Farber Cancer Institute · USBroad Institute · USBoston University · USHarvard University · USHumboldt-Universität zu Berlin · DE

Funding

Physician Scientist Training in Cancer ResearchT32CA009172 · NCI · DANA-FARBER CANCER INSTITUTE · PI Jennifer R Brown, James A. DeCaprio · 1985 to 2026
$17.1M
Project 2: Combined personal neoantigen-targeting cancer vaccines with immune checkpoint blockade for ovarian cancerP50CA240243 · NCI · DANA-FARBER CANCER INST · PI SHAPIRO, GEOFFREY I · 2020 to 2024
$11.5M
Single cell investigation of co-evolution in cancer cells and host cell immune microenvironmentR50CA251956 · NCI · DANA-FARBER CANCER INST · PI Shuqiang Li · 2020 to 2026
$1.4M
The roles of anti-apoptotic proteins BCL-XL and MCL1 in mediating survival of high-grade serous ovarian cancer following drug-induced DNA damageK08CA237871 · NCI · DANA-FARBER CANCER INST · PI STOVER, ELIZABETH HARMON · 2019 to 2023
$921k
NCI NIH HHS K08 CA237871NCI NIH HHS P50 CA240243NCI NIH HHS R50 CA251956NCI NIH HHS T32 CA009172
6 · The paper itself

Abstract

purposeAlthough local tissue-based immune responses are critical for elucidating direct tumor-immune cell interactions, peripheral immune responses are increasingly recognized as occupying an important role in anticancer immunity. We evaluated serial blood samples from patients with advanced epithelial ovarian cancer (EOC) undergoing standard-of-care neoadjuvant carboplatin and paclitaxel chemotherapy (including dexamethasone for prophylaxis of paclitaxel-associated hypersensitivity reactions) to characterize the evolution of the peripheral immune cell function and composition across the course of therapy. EXPERIMENTAL

designSerial blood samples from 10 patients with advanced high-grade serous ovarian cancer treated with neoadjuvant chemotherapy (NACT) were collected before the initiation of chemotherapy, after the third and sixth cycles, and approximately 2 months after completion of chemotherapy. T-cell function was evaluated using ex vivo IFNγ ELISpot assays, and the dynamics of T-cell repertoire and immune cell composition were assessed using bulk and single-cell RNA sequencing (RNAseq).

resultsT cells exhibited an improved response to viral antigens after NACT, which paralleled the decrease in CA125 levels. Single-cell analysis revealed increased numbers of memory T-cell receptor (TCR) clonotypes and increased central memory CD8+ and regulatory T cells throughout chemotherapy. Finally, administration of NACT was associated with increased monocyte frequency and expression of HLA class II and antigen presentation genes; single-cell RNAseq analyses showed that although driven largely by classical monocytes, increased class II gene expression was a feature observed across monocyte subpopulations after chemotherapy.

conclusionsNACT may alleviate tumor-associated immunosuppression by reducing tumor burden and may enhance antigen processing and presentation. These findings have implications for the successful combinatorial applications of immune checkpoint blockade and therapeutic vaccine approaches in EOC.

Indexed as

Neoadjuvant TherapyOvarian NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Ovarian EpithelialChemotherapy, AdjuvantFemaleHumansPaclitaxelPaclitaxel

Identifiers

PMID35443043
PMCPMC9357177
OpenAlexW4224242416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.