Evidence map›Paper›PMID 41987766›Full record

ArticleIJU case reports2026

A Case of Renal Cell Carcinoma With Inferior Vena Cava Tumor Thrombus Achieving Pathologic Complete Response Following Combination Therapy With Lenvatinib and Pembrolizumab.

Hiroki Takayama, Takeshi Sano, Kento Hirao, Yusuke Motoki, Hisanori Taniguchi, Masaaki Yanishi, Katsunori Uchida, Hidefumi Kinoshita

Abstract read
In one paragraph

Article in IJU case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hiroki TakayamaDepartment of Urology and Andrology Kansai Medical University Hirakata Japan.
Takeshi SanoDepartment of Urology and Andrology Kansai Medical University Hirakata Japan.
Kento HiraoDepartment of Urology Takatsuki Red Cross Hospital Takatsuki Japan.
Yusuke MotokiDepartment of Urology and Andrology Kansai Medical University Hirakata Japan.ORCID https://orcid.org/0009-0001-6344-7921
Hisanori TaniguchiDepartment of Urology and Andrology Kansai Medical University Hirakata Japan.
Masaaki YanishiDepartment of Urology and Andrology Kansai Medical University Hirakata Japan.
Katsunori UchidaDepartment of Pathology and Diagnostics Kansai Medical University Hirakata Japan.ORCID https://orcid.org/0009-0000-9661-5605
Hidefumi KinoshitaDepartment of Urology and Andrology Kansai Medical University Hirakata Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The efficacy of neoadjuvant lenvatinib plus pembrolizumab for clear cell renal cell carcinoma with inferior vena cava tumor thrombus remains unclear. Case Presentation: An 80-year-old man was diagnosed with clear cell renal cell carcinoma and tumor thrombus extending into the inferior vena cava. Following neoadjuvant lenvatinib plus pembrolizumab, the primary renal tumor shrank markedly, whereas the inferior vena cava tumor thrombus demonstrated only a slight reduction in size. Robot-assisted radical nephrectomy and lymphadenectomy were performed; however, conversion to open surgery was required because of an inferior vena cava laceration. Pathological examination revealed no residual viable cancer cells. The patient has remained free of recurrence for 1.5 years postoperatively. Conclusion: In this case, a pathological complete response was achieved following combination therapy of lenvatinib with pembrolizumab.

Indexed as

clear cell renal cell carcinomaimmune checkpoint inhibitorinferior vena cavapathologic complete responsetyrosine kinase inhibitor

Identifiers

PMID41987766
PMCPMC13077547

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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.