Evidence map›Paper›PMID 29308329›Full record

ArticleOncoimmunology

Assessment of neuronal autoantibodies in patients with small cell lung cancer treated with chemotherapy with or without ipilimumab.

M Hardy-Werbin, O Arpí, A Taus, P Rocha, D Joseph-Pietras, L Nolan, S Danson, R Griffiths, M Lopez-Botet, A Rovira and 3 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology. 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
1.7field-weighted citation impact, top 15% 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, 33 citations in OpenAlex.

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  15. Immune checkpoint inhibitors-related encephalitis in melanoma and non-melanoma cancer patients: a single center experience.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  16. Review
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  18. Anti-SOX1 Antibodies in Paraneoplastic Neurological Syndrome.Journal of clinical neurology (Seoul, Korea) · 2020
    Review
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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

13 authors at 8 institutions in 2 countries.

M Hardy-WerbinCancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
O ArpíCancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
A TausMedical Oncology Department, Hospital del Mar-CIBERONC, Barcelona, Spain.
P RochaMedical Oncology Department, Hospital del Mar-CIBERONC, Barcelona, Spain.
D Joseph-PietrasNIHR Experimental Cancer Medicine Centre, Southampton, United Kingdom.
L NolanMedical Oncology Department, University Hospital Southampton, Southampton, United Kingdom.
S DansonSheffield Experimental Cancer Medicine Centre, Weston Park Hospital, Sheffield, United Kingdom.
R GriffithsMedical Oncology Department, The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom.
M Lopez-BotetImmunology unit, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
A RoviraCancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
J AlbanellCancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
C H OttensmeierCancer Science Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
E ArriolaCancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Hospital Del Mar · ESHospital del Mar Research Institute · ESNIHR CRUK Experimental Cancer Medicine Centre · GBCentro de Investigación Biomédica en Red de Cáncer · ESClatterbridge Cancer Centre NHS Foundation Trust · GBMunicipal Institute for Medical Research · ESUniversity Hospital Southampton NHS Foundation Trust · GBWeston Park Cancer Centre · GB

Funding

Cancer Research UK 12135Cancer Research UK 15951Cancer Research UK 18892Cancer Research UK 20613Cancer Research UK 22795
6 · The paper itself

Abstract

Small-cell lung cancer (SCLC) is often associated with paraneoplastic syndromes. To assess the role of anti-neuronal autoantibodies (NAAs) as biomarkers of treatment outcome, we assessed NAAs in serial samples from SCLC patients treated with chemoimmunotherapy compared to chemotherapy alone. We evaluated 2 cohorts: in cohort 1 (C1), 47 patients received standard platinum/etoposide, and in cohort 2 (C2), 38 patients received ipilimumab, carboplatin and etoposide. Serum samples at baseline and subsequent time points were analyzed for the presence of NAAs. NAAs were detected at baseline in 25 patients (53.2%) in C1 and in 20 patients (52.6%) in C2 (most frequently anti-Sox1). NAA at baseline was associated with limited disease (75% vs 50%; p: 0.096) and better overall survival (15.1 m vs 11.7 m; p: 0.032) in C1. Thirteen patients (28.9%) showed 2 or more reactivities before treatment; this was associated with worse PFS (5.5 m vs 7.3 m; p: 0.005) in patients treated with chemoimmunotherapy. NAA titers decreased after therapy in 68.9% patients, with no differential patterns of change between cohorts. Patients whose NAA titer decreased after treatment, showed longer OS [18.5 m (95% CI: 15.8 - 21.2)] compared with those whose NAA increased [12.3 m (95% CI: 8.1 - 16.5; p 0.049)], suggesting that antibody levels correlate to tumor load. Our findings reinforce the role of NAAs as prognostic markers and tumor activity/burden in SCLC, warrant further investigation in their predictive role for immunotherapy and raise concern over the use of immunotherapy in patients with more than one anti-NAA reactivity.

Indexed as

anti-Huanti-SOX-1anti-Yoautoantibodiesipilimumabparaneoplastic syndromeSmall cell lung cancer

Identifiers

PMID29308329
PMCPMC5749672
OpenAlexW2765280776

What OpenQuestion holds

Textmetadata
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.