Evidence map›Paper›PMID 35485685›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Tumor Infiltrating Lymphocytes are Prognostic Factors and Can Be Markers of Sensitivity to Chemoradiotherapy in Head and Neck Squamous Cell Carcinoma.

Hitomi Suzuki, Yohei Kawasaki, Masahito Miura, Haruka Hatakeyama, Kazuhiro Shina, Shinsuke Suzuki, Takechiyo Yamada, Maya Suzuki, Ayumi Ito, Yasufumi Omori

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Immune Cell and Biochemical Biomarkers in Advanced Laryngeal Cancer.Dose-response : a publication of International Hormesis Society
    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

10 authors at 1 institution in 1 country.

Hitomi SuzukiDepartment of Otorhinolaryngology and Head-and-Neck Surgery, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Yohei KawasakiDepartment of Otorhinolaryngology and Head-and-Neck Surgery, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Masahito MiuraDepartment of Molecular and Tumour Pathology, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Haruka HatakeyamaDepartment of Molecular and Tumour Pathology, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Kazuhiro ShinaDepartment of Otorhinolaryngology and Head-and-Neck Surgery, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Shinsuke SuzukiDepartment of Otorhinolaryngology and Head-and-Neck Surgery, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Takechiyo YamadaDepartment of Otorhinolaryngology and Head-and-Neck Surgery, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Maya SuzukiDepartment of Molecular and Tumour Pathology, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Ayumi ItoDepartment of Molecular and Tumour Pathology, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Yasufumi OmoriDepartment of Molecular and Tumour Pathology, Akita University Graduate School of Medicine, Akita, 010-8543 Japan.
Akita University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor-infiltrating lymphocytes (TILs) are assessed by the ratio of the area of lymphocytes infiltrating the stroma. TILs are important in breast cancer and malignant melanoma and are being established as a marker of prognosis and sensitivity to chemotherapy. This has resulted in various therapies being developed in fields such as breast cancer. However, the evaluation of TILs in head and neck squamous cell carcinoma (HNSCC) is not progressing, and the prognosis is still poor. Thus, investigating whether or not the evaluation of TILs is also effective in HNSCC and prognoses can be predicted with just biopsy samples alone is required.

methodsThis study included 153 patients who were diagnosed with HNSCC between January 2010 and December 2019, underwent treatment, and could be followed up thereafter at our institution.

resultsTILs, overall survival (OS), and progression-free survival (PFS) were evaluated in all patients, the chemoradiotherapy arm, and the surgery arm. The cut-off value for TILs was 50%. In all patients, OS was 69.8% and 40.2% (P = 0.01) and PFS was 58.4% and 31.6% (P = 0.003) in the high and low TIL groups, respectively. Multivariate analyses revealed that TILs independently predicted prognosis. In the chemoradiotherapy arm, OS was 70.8% and 31.6% (P = 0.012) and PFS was 63.4% and 20.3% (P = 0.001) in the high and low TIL groups, respectively. No significant differences were noted in the surgery arm.

conclusionsIn HNSCC, TILs can be used as a prognosis predictor and chemoradiotherapy biomarker. Assessments can be performed just with hematoxylin-eosin staining and is very simple. This will greatly contribute to report personalized therapy progress. Further evaluations and, thus, prospective clinical multicenter trials are needed to use TILs in clinical practice for HNSCC.

Indexed as

Breast NeoplasmsHead and Neck NeoplasmsBiomarkersChemoradiotherapyFemaleHumansLymphocytes, Tumor-InfiltratingPrognosisProspective StudiesSquamous Cell Carcinoma of Head and NeckBiomarkerschemoradiotherapyHead and neck squamous cell carcinomahistopathologyPrognostic factortumor-infiltrating lymphocytes

Identifiers

PMID35485685
PMCPMC9375628
OpenAlexW4225142294

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.