Evidence map›Paper›PMID 27661102›Full record

ArticleOncotarget2016

Similarity and diversity of the tumor microenvironment in multiple metastases: critical implications for overall and progression-free survival of high-grade serous ovarian cancer.

Andreas Heindl, Chunyan Lan, Daniel Nava Rodrigues, Konrad Koelble, Yinyin Yuan

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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  8. Repertoire-scale measures of antigen binding.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  17. Intratumoral Heterogeneity in Ductal Carcinoma In Situ: Chaos and Consequence.Journal of mammary gland biology and neoplasia · 2018
    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

5 authors.

Andreas HeindlCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Chunyan LanDepartment of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, Guangzhou, China.
Daniel Nava RodriguesDivision of Cancer Therapeutics, The Institute of Cancer Research, London, UK.
Konrad KoelbleDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
Yinyin YuanCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The tumor microenvironment is pivotal in influencing cancer progression and metastasis. Different cells co-exist with high spatial diversity within a patient, yet their combinatorial effects are poorly understood. We investigate the similarity of the tumor microenvironment of 192 local metastatic lesions in 61 ovarian cancer patients. An ecologically inspired measure of microenvironmental diversity derived from multiple metastasis sites is correlated with clinicopathological characteristics and prognostic outcome. We demonstrate a high accuracy of our automated analysis across multiple sites. A low level of similarity in microenvironmental composition is observed between ovary tumor and corresponding local metastases (stromal ratio r = 0.30, lymphocyte ratio r = 0.37). We identify a new measure of microenvironmental diversity derived from Shannon entropy that is highly predictive of poor overall (p = 0.002, HR = 3.18, 95% CI = 1.51-6.68) and progression-free survival (p = 0.0036, HR = 2.83, 95% CI = 1.41-5.7), independent of and stronger than clinical variables, subtype stratifications based on single cell types alone and number of sites. Although stromal influence in ovary tumors is known to have significant clinical implications, our findings reveal an even stronger impact orchestrated by diverse cell types. Quantitative histology-based measures can further enable objective selection of patients who are in urgent need of new therapeutic strategies such as combinatorial treatments targeting heterogeneous tumor microenvironment.

Indexed as

Tumor MicroenvironmentAdultAgedAged, 80 and overCystadenocarcinoma, SerousDisease-Free SurvivalFemaleHumansMiddle AgedNeoplasm MetastasisOvarian NeoplasmsPrognosisautomated image analysisecological diversityhigh-grade serous ovarian cancerlocally advanced diseasetumor microenvironment

Identifiers

PMID27661102
PMCPMC5342067

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.