Evidence map›Paper›PMID 40034897›Full record

ArticleIJU case reports2025

A case of papillary renal cell carcinoma with para-aortic lymph node metastasis that was completely resectable after treatment with combination therapy comprising lenvatinib and pembrolizumab and robot-assisted radical nephrectomy.

Takayuki Hosoi, Shunsuke Yoshioka, Akari Hiraguri, Yusuke Kirihana, Tomoyuki Koguchi, Makoto Tamaki, Chiharu Irisawa

Abstract read
In one paragraph

Article in IJU case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Takayuki HosoiUrology Takeda General Hospital Aiduwakamatu Fukushima Japan.ORCID https://orcid.org/0009-0000-4694-7388
Shunsuke YoshiokaUrology Ohta Nishinouchi Hospital Koriyama Fukushima Japan.
Akari HiraguriUrology Takeda General Hospital Aiduwakamatu Fukushima Japan.ORCID https://orcid.org/0009-0003-7168-4315
Yusuke KirihanaUrology Takeda General Hospital Aiduwakamatu Fukushima Japan.ORCID https://orcid.org/0009-0001-3327-0782
Tomoyuki KoguchiUrology Takeda General Hospital Aiduwakamatu Fukushima Japan.
Makoto TamakiUrology Aizu Clinic Aiduwakamatu Fukushima Japan.
Chiharu IrisawaUrology Irisawa Clinic Aiduwakamatu Fukushima Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Combination therapy comprising immune checkpoint inhibitors and molecular targeted therapies can be effective for metastatic non-clear cell renal cell carcinoma. We describe a patient with metastatic papillary renal cell carcinoma that was completely pathologically resectable after combination treatment comprising lenvatinib and pembrolizumab and robot-assisted radical nephrectomy. Case presentation: A 35-year-old man was referred to our department for examination of a renal tumor that was diagnosed as left renal cell carcinoma with lymph node metastasis (cT3aN1M0). Because metastasis affected the renal artery, combination therapy comprising lenvatinib and pembrolizumab was initiated. After 6 months of treatment, the patient underwent robot-assisted radical nephrectomy. The pathological results indicated papillary renal cell carcinoma with no viable cells in the lymph nodes. Conclusion: Combination therapy comprising lenvatinib and pembrolizumab for unresectable papillary renal cell carcinoma may effectively allow radical resection and deferred cytoreductive nephrectomy.

Indexed as

cytoreductive nephrectomylenvatiniblymphatic metastasispapillary renal cell carcinomapembrolizumab

Identifiers

PMID40034897
PMCPMC11872193

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.