Evidence map›Paper›PMID 33632901›Full record

Observational studyJournal for immunotherapy of cancer2021

Radiological dynamics and SITC-defined resistance types of advanced melanoma during anti-PD-1 monotherapy: an independent single-blind observational study on an international cohort.

Xue Bai, Michelle Kim, Gyulnara Kasumova, Lu Si, Bixia Tang, Chuanliang Cui, Xiaoling Yang, Xiaoting Wei, Justine Cohen, Donald Lawrence and 9 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

19 authors at 2 institutions in 3 countries.

Xue BaiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China.ORCID 0000-0002-5203-4080
Michelle KimDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Gyulnara KasumovaDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lu SiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China.
Bixia TangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China.ORCID 0000-0002-3458-461X
Chuanliang CuiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China.
Xiaoling YangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China.
Xiaoting WeiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China.
Justine CohenMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Donald LawrenceMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Christine FreedmanMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Riley FaddenMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Krista RubinMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Tatyana SharovaDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Dennie FrederickDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Keith FlahertyMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Ryan SullivanMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Jun GuoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China guoj307@126.com gmboland@partners.org.
Genevieve BolandDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA guoj307@126.com gmboland@partners.org.ORCID 0000-0002-7522-6173
Harvard University · USPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the Society for Immunotherapy of Cancer (SITC) Immunotherapy Resistance Taskforce recently defined primary and secondary resistance to anti-programmed cell death protein 1 (anti-PD-1) therapy, there is lack of real-world data regarding differences in these resistance subtypes with respect to radiological dynamics and clinical manifestations.

methodsWe performed single-blind re-evaluations of radiological images by independent radiologists on a retrospectively assembled cohort of patients with advanced melanoma (n=254, median follow-up 31 months) receiving anti-PD-1 monotherapy at Massachusetts General Hospital and Peking University Cancer Hospital. Radiological characteristics and timing at multiple crucial time points were analyzed and correlated with each other and with survival. Primary and secondary resistance was defined as per the SITC Immunotherapy Resistance Taskforce definitions.

resultsThe most significant target lesion measurement change took place within the first 3 months after anti-PD-1 initiation. Patients with stable disease with versus without tumor shrinkage at the initial evaluation exhibited distinct disease trajectory, as the rate of further upgrade to a partial or complete remission (CR/PR) was 44% and 0%, respectively. Eleven per cent of PR patients ultimately achieved a CR. In multivariate analyses, deeper response depth was independently associated with a more limited progression pattern, fewer involved organs, lower tumor burden, slower growth rate at disease progression (PD) (all p≤0.001), and longer post-progression survival (PPS) (bivariate analysis, p=0.005). Compared with primary resistance, secondary resistance was associated with less widespread PD pattern, lower tumor burden and slower tumor growth (all p≤0.001). Patients with secondary resistance were less likely to receive further systemic therapy (28% vs 57%, p<0.001) yet had significantly better PPS (HR 0.503, 95% CI 0.288 to 0.879, p=0.02).

conclusionsRadiological dynamics were variable, yet significantly correlated with survival outcomes. SITC-defined primary and secondary resistance are distinct clinical manifestations in patients with melanoma, suggesting the possibility of resistance-type-based therapeutic decision-making and clinical trial design, once further validated by future prospective studies.

Indexed as

Drug Resistance, NeoplasmAdultAgedAged, 80 and overBeijingBostonDisease ProgressionFemaleHumansImmune Checkpoint InhibitorsMaleMelanomaMiddle AgedPredictive Value of TestsProgrammed Cell Death 1 ReceptorProgression-Free SurvivalImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 Receptorimmunotherapymelanomaprogrammed cell death 1 receptor

Identifiers

PMID33632901
PMCPMC7908917
OpenAlexW3131231880

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.