Evidence map›Paper›PMID 35064332›Full record

ArticleAnnals of surgical oncology2022

Is There a Relationship Between TILs and Regression in Melanoma?

Steven Morrison, Gang Han, Faith Elenwa, John T Vetto, Graham Fowler, Stanley P Leong, Mohammed Kashani-Sabet, Barbara Pockaj, Heidi E Kosiorek, Jonathan S Zager and 5 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 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
1.4field-weighted citation impact, top 18% 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, 14 citations in OpenAlex.

  1. A deep learning-clinical nomogram hybrid for predicting sentinel lymph node metastasis in melanoma.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 3 countries.

Steven MorrisonDivision of Surgical Oncology, Oregon Health and Science University, Portland, OR, USA.
Gang HanDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA.
Faith ElenwaDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA.
John T VettoDivision of Surgical Oncology, Oregon Health and Science University, Portland, OR, USA. vettoj@ohsu.edu.
Graham FowlerDivision of Surgical Oncology, Oregon Health and Science University, Portland, OR, USA.
Stanley P LeongCalifornia Pacific Medical Center and Research Institute, San Francisco, CA, USA.
Mohammed Kashani-SabetCalifornia Pacific Medical Center and Research Institute, San Francisco, CA, USA.
Barbara PockajMayo Clinic, Phoenix, AZ, USA.
Heidi E KosiorekMayo Clinic, Phoenix, AZ, USA.
Jonathan S ZagerDepartment of Cutaneous Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Jane L MessinaDepartment of Cutaneous Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Nicola MozzilloIstituto Tumori Napoli Fondazione G. Pascale, Naples, Italy.
Schlomo SchneebaumTel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
Dale HanDivision of Surgical Oncology, Oregon Health and Science University, Portland, OR, USA.
Sentinel Lymph Node Working Group
Oregon Health & Science University · USCalifornia Pacific Medical Center · USMayo Clinic Hospital · USTexas A&M University · USIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITMoffitt Cancer Center · USTel Aviv Sourasky Medical Center · ILUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between tumor-infiltrating lymphocytes (TILs) and regression in melanoma is unknown. This report describes a large multicenter study assessing the association between TILs and regression.

methodsThe Sentinel Lymph Node Working Group database was queried from 1993 to 2018 for cases with TILs and regression data. Clinicopathologic factors were correlated with regression and TIL status, sentinel lymph node (SLN) status, and overall survival (OS).

resultsThe study enrolled 2450 patients. In 1811 cases, TILs (73.9%) were present, with regression present in 328 of these 1811 (18.1%) cases and in 49 (7.7%) of 639 cases without TILs. The presence of TILs was significantly associated with regression (p < 0.0001) as well as a negative SLN (p < 0.05). However, when TILs were stratified by regression status, only absence or presence of both TILs and regression were significantly associated with SLN metastases (p = 0.038). Although the presence of TILs was associated with OS (p < 0.05), regression status by itself was not (p = 0.2058 and 0.252, respectively). Furthermore, when TILs were stratified by regression status, only the presence of TILs with or without regression was significantly associated with improved OS (p = 0.0081 and 0.0137, respectively) versus the absence of both TILs and regression, with regression status not significantly affecting OS for patients with or without TILs (p = 0.2314 and 0.65, respectively).

conclusionsRegression is highly correlated with TILs, but only TILs are significantly associated with SLN metastasis and OS in melanoma patients, whereas regression is not. The impact of regression on outcomes ultimately appears dependent upon the absence or presence of TILs.

Indexed as

LymphadenopathyMelanomaSkin NeoplasmsHumansLymphatic MetastasisLymphocytes, Tumor-InfiltratingPrognosisSentinel Lymph Node BiopsyMelanomaRegressionTumor-infiltrating lymphocytes (TIL)

Identifiers

PMID35064332
OpenAlexW4206939082

What OpenQuestion holds

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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.