Evidence map›Paper›PMID 34513318›Full record

ArticleOncoimmunology2021

Characterization of immune landscape in papillary thyroid cancer reveals distinct tumor immunogenicity and implications for immunotherapy.

Jing Sun, Run Shi, Xiaowen Zhang, Da Fang, Josefine Rauch, Shun Lu, Xuanbin Wang, Lukas Käsmann, Jing Ma, Claus Belka and 2 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

12 authors at 6 institutions in 2 countries.

Jing SunDepartment of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China.
Run ShiThe First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Xiaowen ZhangDepartment of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China.
Da FangDepartment of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China.
Josefine RauchDepartment of Radiation Oncology, University Hospital, LMU Munich, Germany.
Shun LuDepartment of Radiotherapy, Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xuanbin WangLaboratory of Chinese Herbal Pharmacology, Oncology Center, Renmin Hospital, Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine, Shiyan, China.
Lukas KäsmannDepartment of Radiation Oncology, University Hospital, LMU Munich, Germany.
Jing MaDepartment of Radiation Oncology, University Hospital, LMU Munich, Germany.
Claus BelkaDepartment of Radiation Oncology, University Hospital, LMU Munich, Germany.
Chuan SuDepartment of Pathogen Biology and Immunology, Jiangsu Province Key Laboratory of Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-8271-2428
Minglun LiDepartment of Radiation Oncology, University Hospital, LMU Munich, Germany.
LMU Klinikum · DENanjing Drum Tower Hospital · CNNanjing Medical University · CNHubei University of Medicine · CNNanjing University of Chinese Medicine · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the vast majority of patients with papillary thyroid cancer (PTC) have a favorable prognosis when conventional treatments are implemented, local recurrence and distant metastasis of advanced PTCs still hamper the survival and clinical management in certain patients. As immune checkpoint blockade (ICB) therapy achieves a great success in some advanced cancers, we aimed to investigate the immune landscape in PTC and its potential implications for prognosis and immunotherapy. In this study, different algorithms were conducted to estimate immune infiltration in PTC samples. A series of bioinformatic and machine learning approaches were performed to identify PTC-specific immune-related genes (IRGs) and distinct immune clusters. Differences in intrinsic tumor immunogenicity and potential immunotherapy response were observed between distinct immune clusters. A prognostic immune-related signature (IRS) was established to predict progression-free survival (PFS). IRS exhibited more powerful prognostic capacity and accurate survival prediction compared to conventional clinicopathological features. Furthermore, an integrated survival decision tree and a scoring nomogram were constructed to improve prognostic stratification and predictive accuracy for individual patients. In addition, altered pathways, mutational patterns, and potential applicable drugs were analyzed in different immune-related risk groups. Our study gained some insight into the immune landscape of PTC, and provided some useful clues for introducing immune-based molecular classification into risk stratification and guiding ICB decision-making.

Indexed as

Neoplasm Recurrence, LocalThyroid NeoplasmsHumansImmunotherapyPrognosisThyroid Cancer, Papillaryimmune clustersimmunotherapyPapillary thyroid cancerprognosis

Identifiers

PMID34513318
PMCPMC8425706
OpenAlexW3196396792

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.